SuccessConsole Output

Established TCP socket on 44368
<===[JENKINS REMOTING CAPACITY]===>channel started
Executing Maven:  -B -f /var/lib/jenkins/jobs/tmp index processor job/workspace/pom.xml clean test
[INFO] Scanning for projects...
[WARNING] 
[WARNING] Some problems were encountered while building the effective model for org.dataone:d1_cn_index_processor:jar:2.3.2
[WARNING] 'build.plugins.plugin.version' for com.mycila.maven-license-plugin:maven-license-plugin is missing. @ line 304, column 15
[WARNING] 'build.plugins.plugin.version' for org.apache.maven.plugins:maven-compiler-plugin is missing. @ line 296, column 15
[WARNING] 'build.plugins.plugin.version' for org.codehaus.mojo:buildnumber-maven-plugin is missing. @ line 311, column 21
[WARNING] 
[WARNING] It is highly recommended to fix these problems because they threaten the stability of your build.
[WARNING] 
[WARNING] For this reason, future Maven versions might no longer support building such malformed projects.
[WARNING] 
[INFO]                                                                         
[INFO] ------------------------------------------------------------------------
[INFO] Building d1_cn_index_processor 2.3.2
[INFO] ------------------------------------------------------------------------
[INFO] 
[INFO] --- maven-clean-plugin:2.3:clean (default-clean) @ d1_cn_index_processor ---
[INFO] 
[INFO] --- buildnumber-maven-plugin:1.4:create (default) @ d1_cn_index_processor ---
[INFO] Executing: /bin/sh -c cd '/var/lib/jenkins/jobs/tmp index processor job/workspace' && 'svn' '--non-interactive' 'info'
[INFO] Working directory: /var/lib/jenkins/jobs/tmp index processor job/workspace
[INFO] Storing buildNumber: 19035 at timestamp: 1511302147126
[INFO] Executing: /bin/sh -c cd '/var/lib/jenkins/jobs/tmp index processor job/workspace' && 'svn' '--non-interactive' 'info'
[INFO] Working directory: /var/lib/jenkins/jobs/tmp index processor job/workspace
[INFO] Storing buildScmBranch: tags/D1_CN_INDEX_PROCESSOR_v2.3.2
[INFO] 
[INFO] --- maven-resources-plugin:2.3:resources (default-resources) @ d1_cn_index_processor ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 1 resource
[INFO] Copying 43 resources
[INFO] 
[INFO] --- maven-compiler-plugin:2.0.2:compile (default-compile) @ d1_cn_index_processor ---
[INFO] Compiling 80 source files to /var/lib/jenkins/jobs/tmp index processor job/workspace/target/classes
[INFO] 
[INFO] --- maven-resources-plugin:2.3:testResources (default-testResources) @ d1_cn_index_processor ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 282 resources
[INFO] 
[INFO] --- maven-compiler-plugin:2.0.2:testCompile (default-testCompile) @ d1_cn_index_processor ---
[INFO] Compiling 35 source files to /var/lib/jenkins/jobs/tmp index processor job/workspace/target/test-classes
[INFO] 
[INFO] --- maven-surefire-plugin:2.16:test (default-test) @ d1_cn_index_processor ---
[INFO] Surefire report directory: /var/lib/jenkins/jobs/tmp index processor job/workspace/target/surefire-reports

-------------------------------------------------------
 T E S T S
-------------------------------------------------------
Running org.dataone.cn.indexer.XmlDocumentUtilityTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.256 sec - in org.dataone.cn.indexer.XmlDocumentUtilityTest
Running org.dataone.cn.indexer.solrhttp.SolrElementFieldTest

                bath gom1k.nc : the GoM bathymetry derived from the GMRT and NGDC databases (recommended); NetCDF-3 classic format (total size 760 MB). topo gom1k.nc : the GoM topography (land and water) derived from the GMRT and NGDC databases (recommended); NetCDF-3 classic format (total size 127 MB). bath gom1k GEBCO.nc : the GoM bathymetry derived from the GEBCO and NGDC databases; NetCDF-3 classic format (total size 760 MB). topo gom1k GEBCO.nc : the GoM topography (land and water) derived from the GEBCO and NGDC databases; NetCDF-3 classic format (total size 127 MB). bath guide.pdf ๔€€€> The manual of the developed GoM 0:01 o bathymetry Various renders of topography and bathymetry|||||
            
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.038 sec - in org.dataone.cn.indexer.solrhttp.SolrElementFieldTest
Running org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypesParserTest
[ERROR] 2017-11-21 22:09:18,251 (org.dataone.configuration.Settings:getConfiguration:109) Problem loading configuration: file:/var/lib/jenkins/jobs/tmp%20index%20processor%20job/workspace/target/classes/org/dataone/configuration/config.xml
org.apache.commons.configuration.ConfigurationException: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/node.properties
	at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:752)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.initCombinedConfiguration(DefaultConfigurationBuilder.java:628)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:560)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:527)
	at org.dataone.configuration.Settings.getConfiguration(Settings.java:106)
	at org.dataone.cn.index.util.PerformanceLogger.<init>(PerformanceLogger.java:15)
	at org.dataone.cn.index.util.PerformanceLogger.<clinit>(PerformanceLogger.java:9)
	at org.dataone.cn.indexer.SolrIndexService.<init>(SolrIndexService.java:86)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at org.springframework.beans.BeanUtils.instantiateClass(BeanUtils.java:147)
	at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:87)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:990)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:943)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:485)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:456)
	at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:294)
	at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:225)
	at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:291)
	at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:193)
	at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:607)
	at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:925)
	at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:472)
	at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:103)
	at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:1)
	at org.springframework.test.context.support.DelegatingSmartContextLoader.loadContext(DelegatingSmartContextLoader.java:228)
	at org.springframework.test.context.TestContext.loadApplicationContext(TestContext.java:124)
	at org.springframework.test.context.TestContext.getApplicationContext(TestContext.java:148)
	at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.injectDependencies(DependencyInjectionTestExecutionListener.java:109)
	at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.prepareTestInstance(DependencyInjectionTestExecutionListener.java:75)
	at org.springframework.test.context.TestContextManager.prepareTestInstance(TestContextManager.java:321)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.createTest(SpringJUnit4ClassRunner.java:211)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner$1.runReflectiveCall(SpringJUnit4ClassRunner.java:288)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.methodBlock(SpringJUnit4ClassRunner.java:290)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
	at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
	at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
	at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
	at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
	at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
	at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
	at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
	at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
Caused by: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/node.properties
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:252)
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:269)
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:283)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:747)
	... 53 more
Caused by: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/node.properties
	at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:217)
	at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:197)
	at org.apache.commons.configuration.DefaultConfigurationBuilder$FileConfigurationProvider.getConfiguration(DefaultConfigurationBuilder.java:1306)
	at org.apache.commons.configuration.DefaultConfigurationBuilder$ConfigurationBeanFactory.createBean(DefaultConfigurationBuilder.java:1208)
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:247)
	... 56 more
[ERROR] 2017-11-21 22:09:18,272 (org.dataone.configuration.Settings:getConfiguration:109) Problem loading configuration: jar:file:/var/lib/jenkins/.m2/repository/org/dataone/d1_cn_index_generator/2.3.0/d1_cn_index_generator-2.3.0.jar!/org/dataone/configuration/config.xml
org.apache.commons.configuration.ConfigurationException: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/index/d1client.properties
	at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:752)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.initCombinedConfiguration(DefaultConfigurationBuilder.java:628)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:560)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:527)
	at org.dataone.configuration.Settings.getConfiguration(Settings.java:106)
	at org.dataone.cn.index.util.PerformanceLogger.<init>(PerformanceLogger.java:15)
	at org.dataone.cn.index.util.PerformanceLogger.<clinit>(PerformanceLogger.java:9)
	at org.dataone.cn.indexer.SolrIndexService.<init>(SolrIndexService.java:86)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at org.springframework.beans.BeanUtils.instantiateClass(BeanUtils.java:147)
	at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:87)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:990)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:943)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:485)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:456)
	at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:294)
	at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:225)
	at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:291)
	at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:193)
	at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:607)
	at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:925)
	at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:472)
	at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:103)
	at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:1)
	at org.springframework.test.context.support.DelegatingSmartContextLoader.loadContext(DelegatingSmartContextLoader.java:228)
	at org.springframework.test.context.TestContext.loadApplicationContext(TestContext.java:124)
	at org.springframework.test.context.TestContext.getApplicationContext(TestContext.java:148)
	at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.injectDependencies(DependencyInjectionTestExecutionListener.java:109)
	at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.prepareTestInstance(DependencyInjectionTestExecutionListener.java:75)
	at org.springframework.test.context.TestContextManager.prepareTestInstance(TestContextManager.java:321)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.createTest(SpringJUnit4ClassRunner.java:211)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner$1.runReflectiveCall(SpringJUnit4ClassRunner.java:288)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.methodBlock(SpringJUnit4ClassRunner.java:290)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
	at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
	at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
	at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
	at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
	at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
	at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
	at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
	at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
Caused by: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/index/d1client.properties
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:252)
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:269)
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:283)
	at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:747)
	... 53 more
Caused by: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/index/d1client.properties
	at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:217)
	at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:197)
	at org.apache.commons.configuration.DefaultConfigurationBuilder$FileConfigurationProvider.getConfiguration(DefaultConfigurationBuilder.java:1306)
	at org.apache.commons.configuration.DefaultConfigurationBuilder$ConfigurationBeanFactory.createBean(DefaultConfigurationBuilder.java:1208)
	at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:247)
	... 56 more
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 5.547 sec - in org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypesParserTest
Running org.dataone.cn.indexer.convert.TemporalPeriodParsingUtilityTest
[ERROR] 2017-11-21 22:09:20,342 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200) 
[ERROR] 2017-11-21 22:09:20,342 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: 2000
[ERROR] 2017-11-21 22:09:20,409 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200) 
[ERROR] 2017-11-21 22:09:20,410 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
[ERROR] 2017-11-21 22:09:20,411 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200) 
[ERROR] 2017-11-21 22:09:20,412 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: 2005
[ERROR] 2017-11-21 22:09:20,416 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200) 
[ERROR] 2017-11-21 22:09:20,416 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.078 sec - in org.dataone.cn.indexer.convert.TemporalPeriodParsingUtilityTest
Running org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeConverterTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.049 sec - in org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeConverterTest
Running org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeDocumentServiceTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.044 sec - in org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeDocumentServiceTest
Running org.dataone.cn.indexer.resourcemap.OREResourceMapTest
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.769 sec - in org.dataone.cn.indexer.resourcemap.OREResourceMapTest
Running org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest
Creating dataDir: /tmp/org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest_F18496BF8A58581C-001/init-core-data-001
ERROR IN SolrLogFormatter! original message:Configuring Hazelcast from 'org/dataone/configuration/hazelcast.xml'.
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:35)
	at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:30)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:30)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:Interfaces is disabled, trying to pick one address from TCP-IP config addresses: [127.0.0.1]
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.impl.AddressPicker.log(AddressPicker.java:330)
	at com.hazelcast.impl.AddressPicker.getInterfaces(AddressPicker.java:208)
	at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:131)
	at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:51)
	at com.hazelcast.impl.Node.<init>(Node.java:144)
	at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
	at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:Picking loopback address [127.0.0.1]; setting 'java.net.preferIPv4Stack' to true.
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.impl.AddressPicker.log(AddressPicker.java:330)
	at com.hazelcast.impl.AddressPicker.pickLoopbackAddress(AddressPicker.java:262)
	at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:134)
	at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:51)
	at com.hazelcast.impl.Node.<init>(Node.java:144)
	at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
	at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:Picked Address[127.0.0.1]:5742, using socket ServerSocket[addr=/0:0:0:0:0:0:0:0,localport=5742], bind any local is true
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.impl.AddressPicker.log(AddressPicker.java:330)
	at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:105)
	at com.hazelcast.impl.Node.<init>(Node.java:144)
	at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
	at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Hazelcast Community Edition 2.4.1 (20121213) starting at Address[127.0.0.1]:5742
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.impl.base.DefaultNodeInitializer.printNodeInfo(DefaultNodeInitializer.java:50)
	at com.hazelcast.impl.Node.<init>(Node.java:181)
	at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
	at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Copyright (C) 2008-2012 Hazelcast.com
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.impl.base.DefaultNodeInitializer.printNodeInfo(DefaultNodeInitializer.java:52)
	at com.hazelcast.impl.Node.<init>(Node.java:181)
	at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
	at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Address[127.0.0.1]:5742 is STARTING
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:63)
	at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:59)
	at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:387)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
	at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] 


Members [1] {
	Member [127.0.0.1]:5742 this
}

	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.impl.AbstractJoiner$1.process(AbstractJoiner.java:118)
	at com.hazelcast.cluster.ClusterService$1.process(ClusterService.java:127)
	at com.hazelcast.cluster.ClusterService.processProcessable(ClusterService.java:190)
	at com.hazelcast.cluster.ClusterService.dequeueProcessables(ClusterService.java:256)
	at com.hazelcast.cluster.ClusterService.run(ClusterService.java:201)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Address[127.0.0.1]:5742 is STARTED
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:63)
	at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:59)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:175)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
	at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
	at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
	at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
	at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
[ WARN] 2017-11-21 22:09:24,122 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:09:24,983 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:09:24,989 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:09:25,202 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:09:25,509 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
referencedPid: ala-wai-canal-ns02-ctd-data.1.txt
referencedPid: ala-wai-canal-ns02-image-data-AW02XX_001CTDXXXXR00_20150203_10day.1.jpg
referencedPid: ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m
referencedPid: ala-wai-canal-ns02-ctd-data.1.txt
ERROR IN SolrLogFormatter! original message:Configuring Hazelcast from 'org/dataone/configuration/hazelcast.xml'.
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:35)
	at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:30)
	at org.dataone.cn.hazelcast.HazelcastClientFactory.getHazelcastClientUsingConfig(HazelcastClientFactory.java:145)
	at org.dataone.cn.hazelcast.HazelcastClientFactory.getStorageClient(HazelcastClientFactory.java:93)
	at org.dataone.cn.hazelcast.HazelcastClientFactory.getSystemMetadataMap(HazelcastClientFactory.java:71)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.addSystemMetadata(ProvRdfXmlProcessorTest.java:557)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.insertResource(ProvRdfXmlProcessorTest.java:535)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.testInsertProvResourceMap(ProvRdfXmlProcessorTest.java:322)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$6.evaluate(RandomizedRunner.java:836)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$7.evaluate(RandomizedRunner.java:872)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$8.evaluate(RandomizedRunner.java:886)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.TestRuleSetupTeardownChained$1.evaluate(TestRuleSetupTeardownChained.java:50)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at org.apache.lucene.util.TestRuleThreadAndTestName$1.evaluate(TestRuleThreadAndTestName.java:49)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl.forkTimeoutingTask(ThreadLeakControl.java:798)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$3.evaluate(ThreadLeakControl.java:458)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.runSingleTest(RandomizedRunner.java:845)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$3.evaluate(RandomizedRunner.java:747)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:781)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:HazelcastClient is STARTING
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
	at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] 5742 is accepting socket connection from /127.0.0.1:47685
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.nio.SocketAcceptor.log(SocketAcceptor.java:142)
	at com.hazelcast.nio.SocketAcceptor.log(SocketAcceptor.java:138)
	at com.hazelcast.nio.SocketAcceptor.access$000(SocketAcceptor.java:28)
	at com.hazelcast.nio.SocketAcceptor$1.run(SocketAcceptor.java:111)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
	at com.hazelcast.impl.ExecutorThreadFactory$1.run(ExecutorThreadFactory.java:38)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] 5742 accepted socket connection from /127.0.0.1:47685
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.nio.ConnectionManager.log(ConnectionManager.java:475)
	at com.hazelcast.nio.ConnectionManager.assignSocketChannel(ConnectionManager.java:260)
	at com.hazelcast.nio.SocketAcceptor$1.run(SocketAcceptor.java:122)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
	at com.hazelcast.impl.ExecutorThreadFactory$1.run(ExecutorThreadFactory.java:38)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] received auth from Connection [/127.0.0.1:47685 -> null] live=true, client=true, type=CLIENT, successfully authenticated
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.impl.ClientHandlerService$ClientAuthenticateHandler.processCall(ClientHandlerService.java:852)
	at com.hazelcast.impl.ClientHandlerService$ClientOperationHandler.handle(ClientHandlerService.java:1565)
	at com.hazelcast.impl.ClientRequestHandler$1.run(ClientRequestHandler.java:57)
	at com.hazelcast.impl.ClientRequestHandler$1.run(ClientRequestHandler.java:54)
	at com.hazelcast.impl.ClientRequestHandler.doRun(ClientRequestHandler.java:63)
	at com.hazelcast.impl.FallThroughRunnable.run(FallThroughRunnable.java:22)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
	at com.hazelcast.impl.ExecutorThreadFactory$1.run(ExecutorThreadFactory.java:38)
ERROR IN SolrLogFormatter! original message:HazelcastClient is CLIENT_CONNECTION_OPENING
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
	at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:HazelcastClient is CLIENT_CONNECTION_OPENED
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
	at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:HazelcastClient is STARTED
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
	at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
	at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Initializing cluster partition table first arrangement...
	Exception: java.lang.NullPointerException
	at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
	at java.util.HashMap.hash(HashMap.java:338)
	at java.util.HashMap.get(HashMap.java:556)
	at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
	at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
	at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
	at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
	at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
	at java.util.logging.Logger.log(Logger.java:738)
	at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
	at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
	at com.hazelcast.impl.PartitionManager.firstArrangement(PartitionManager.java:160)
	at com.hazelcast.impl.PartitionManager.getOwner(PartitionManager.java:145)
	at com.hazelcast.impl.PartitionServiceImpl$3.process(PartitionServiceImpl.java:143)
	at com.hazelcast.cluster.ClusterService.processProcessable(ClusterService.java:190)
	at com.hazelcast.cluster.ClusterService.dequeueProcessables(ClusterService.java:256)
	at com.hazelcast.cluster.ClusterService.run(ClusterService.java:201)
	at java.lang.Thread.run(Thread.java:745)
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
[ERROR] 2017-11-21 22:09:36,060 (org.dataone.client.auth.CertificateManager:<init>:203) No certificate installed in expected location: /tmp/x509up_u106
java.io.FileNotFoundException: No certificate installed in expected location: /tmp/x509up_u106
	at org.dataone.client.auth.CertificateManager.locateDefaultCertificate(CertificateManager.java:1360)
	at org.dataone.client.auth.CertificateManager.getCertificateFile(CertificateManager.java:1141)
	at org.dataone.client.auth.CertificateManager.<init>(CertificateManager.java:201)
	at org.dataone.client.auth.CertificateManager$CertificateManagerSingleton.<clinit>(CertificateManager.java:237)
	at org.dataone.client.auth.CertificateManager.getInstance(CertificateManager.java:247)
	at org.dataone.client.rest.HttpMultipartRestClient.<init>(HttpMultipartRestClient.java:199)
	at org.dataone.client.rest.DefaultHttpMultipartRestClient.<init>(DefaultHttpMultipartRestClient.java:40)
	at org.dataone.client.v2.itk.D1Client.getMultipartRestClient(D1Client.java:64)
	at org.dataone.client.v2.itk.D1Client.getCN(D1Client.java:226)
	at org.dataone.client.v2.formats.ObjectFormatCache.refreshCache(ObjectFormatCache.java:195)
	at org.dataone.client.v2.formats.ObjectFormatCache.<init>(ObjectFormatCache.java:96)
	at org.dataone.client.v2.formats.ObjectFormatCache.<init>(ObjectFormatCache.java:57)
	at org.dataone.client.v2.formats.ObjectFormatCache$ObjectFormatCacheSingleton.<clinit>(ObjectFormatCache.java:110)
	at org.dataone.client.v2.formats.ObjectFormatCache.getInstance(ObjectFormatCache.java:117)
	at org.dataone.cn.index.processor.IndexTaskProcessor.isDataObject(IndexTaskProcessor.java:826)
	at org.dataone.cn.index.processor.IndexTaskProcessor.isObjectPathReady(IndexTaskProcessor.java:786)
	at org.dataone.cn.index.processor.IndexTaskProcessor.getNextIndexTask(IndexTaskProcessor.java:616)
	at org.dataone.cn.index.processor.IndexTaskProcessor.processIndexTaskQueue(IndexTaskProcessor.java:184)
	at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.testInsertProvResourceMap(ProvRdfXmlProcessorTest.java:353)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$6.evaluate(RandomizedRunner.java:836)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$7.evaluate(RandomizedRunner.java:872)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$8.evaluate(RandomizedRunner.java:886)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.TestRuleSetupTeardownChained$1.evaluate(TestRuleSetupTeardownChained.java:50)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at org.apache.lucene.util.TestRuleThreadAndTestName$1.evaluate(TestRuleThreadAndTestName.java:49)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl.forkTimeoutingTask(ThreadLeakControl.java:798)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$3.evaluate(ThreadLeakControl.java:458)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.runSingleTest(RandomizedRunner.java:845)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$3.evaluate(RandomizedRunner.java:747)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:781)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
[ WARN] 2017-11-21 22:09:37,714 (org.apache.solr.core.SolrCore:getSearcher:1757) [collection1] PERFORMANCE WARNING: Overlapping onDeckSearchers=2
[ WARN] 2017-11-21 22:09:37,718 (org.apache.solr.core.SolrCore:getSearcher:1757) [collection1] PERFORMANCE WARNING: Overlapping onDeckSearchers=2
[ WARN] 2017-11-21 22:09:37,719 (org.apache.solr.core.SolrCore:getSearcher:1757) [collection1] PERFORMANCE WARNING: Overlapping onDeckSearchers=2
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id6_, indextask0_.dateSysMetaModified as dateSysM2_6_, indextask0_.deleted as deleted6_, indextask0_.formatId as formatId6_, indextask0_.nextExecution as nextExec5_6_, indextask0_.objectPath as objectPath6_, indextask0_.pid as pid6_, indextask0_.priority as priority6_, indextask0_.status as status6_, indextask0_.sysMetadata as sysMeta10_6_, indextask0_.taskModifiedDate as taskMod11_6_, indextask0_.tryCount as tryCount6_, indextask0_.version as version6_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id6_0_, indextask0_.dateSysMetaModified as dateSysM2_6_0_, indextask0_.deleted as deleted6_0_, indextask0_.formatId as formatId6_0_, indextask0_.nextExecution as nextExec5_6_0_, indextask0_.objectPath as objectPath6_0_, indextask0_.pid as pid6_0_, indextask0_.priority as priority6_0_, indextask0_.status as status6_0_, indextask0_.sysMetadata as sysMeta10_6_0_, indextask0_.taskModifiedDate as taskMod11_6_0_, indextask0_.tryCount as tryCount6_0_, indextask0_.version as version6_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 26.418 sec - in org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest
Running org.dataone.cn.indexer.AppTest
output: <?xml version="1.0" encoding="utf-8"?>
<add><doc><field name="fieldName1">value1</field><field name="fieldName2">value2</field><field name="fieldName3">value3</field><field name="fieldName4">value4</field><field name="fieldName5">value5</field><field name="fieldName6">value6</field></doc></add>
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.012 sec - in org.dataone.cn.indexer.AppTest
Running org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest
annotation: {
  "pid": "peggym.130.4", 
  "id": "annotation.130.4",   
  "field": "sem_annotation", 
  "reject": false, 
  "ranges": [
    {
      "start": "/section[1]/article[1]/form[1]/section[1]/div[1]/div[1]", 
      "end": "/section[1]/article[1]/form[1]/section[1]/div[1]/div[1]", 
      "startOffset": 0, 
      "endOffset": 4
    }
  ], 
  "permissions": {
    "read": [
      "group:__world__"
    ], 
    "delete": [], 
    "admin": [], 
    "update": []
  }, 
  "user": "CN=Benjamin Leinfelder A515,O=University of Chicago,C=US,DC=cilogon,DC=org", 
  "consumer": "metacat", 
  "updated": "2014-12-03T23:29:20.262152+00:00", 
  "quote": "Data", 
  "oa:Motivation": "oa:tagging", 
  "tags": ["http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass"], 
  "text": "Original annotation content", 
  "created": "2014-12-03T23:09:25.501665+00:00", 
  "uri": "https://cn-dev.test.dataone.org/cn/v1/object/peggym.130.4"
}
[ WARN] 2017-11-21 22:09:48,905 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.org/dc/terms/
[ WARN] 2017-11-21 22:09:50,383 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://www.w3.org/2006/time
[ WARN] 2017-11-21 22:09:50,783 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.dataone.org/ontologies/observation/d1-ECSO.owl
[ERROR] 2017-11-21 22:09:51,162 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:parseAnnotation:277) Problem exapnding concept: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
org.apache.jena.atlas.web.HttpException: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
	at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1026)
	at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:291)
	at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:326)
	at org.apache.jena.riot.stream.LocatorURL.open(LocatorURL.java:46)
	at org.apache.jena.riot.stream.StreamManager.openNoMapOrNull(StreamManager.java:138)
	at org.apache.jena.riot.stream.StreamManager.open(StreamManager.java:99)
	at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:783)
	at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:772)
	at org.apache.jena.riot.RDFDataMgr.parse(RDFDataMgr.java:676)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:211)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:184)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:122)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:113)
	at org.apache.jena.riot.adapters.RDFReaderRIOT.read(RDFReaderRIOT.java:77)
	at com.hp.hpl.jena.rdf.model.impl.ModelCom.read(ModelCom.java:229)
	at com.hp.hpl.jena.ontology.impl.OntModelImpl.readDelegate(OntModelImpl.java:3107)
	at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2198)
	at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2122)
	at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.expandConcepts(AnnotatorSubprocessor.java:310)
	at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.parseAnnotation(AnnotatorSubprocessor.java:267)
	at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.processDocument(AnnotatorSubprocessor.java:128)
	at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.compareFields(SolrFieldAnnotatorTest.java:119)
	at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.testAnnotationFields(SolrFieldAnnotatorTest.java:150)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:45)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:42)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
	at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
	at org.springframework.test.context.junit4.statements.RunBeforeTestMethodCallbacks.evaluate(RunBeforeTestMethodCallbacks.java:74)
	at org.springframework.test.context.junit4.statements.RunAfterTestMethodCallbacks.evaluate(RunAfterTestMethodCallbacks.java:83)
	at org.springframework.test.context.junit4.statements.SpringRepeat.evaluate(SpringRepeat.java:72)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
	at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
	at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
	at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
	at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
	at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
	at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
	at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
	at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
Caused by: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
	at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:231)
	at org.apache.http.conn.ssl.BrowserCompatHostnameVerifier.verify(BrowserCompatHostnameVerifier.java:54)
	at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:152)
	at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:133)
	at org.apache.http.conn.ssl.SSLSocketFactory.verifyHostname(SSLSocketFactory.java:559)
	at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:534)
	at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:401)
	at org.apache.http.impl.conn.DefaultClientConnectionOperator.openConnection(DefaultClientConnectionOperator.java:177)
	at org.apache.http.impl.conn.ManagedClientConnectionImpl.open(ManagedClientConnectionImpl.java:304)
	at org.apache.http.impl.client.DefaultRequestDirector.tryConnect(DefaultRequestDirector.java:611)
	at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:446)
	at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:863)
	at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82)
	at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:57)
	at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1011)
	... 51 more
[ERROR] 2017-11-21 22:09:51,174 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:processDocument:142) Unable to retrieve solr document: peggym.130.4.  Exception attempting to communicate with solr server.
java.net.ConnectException: Connection refused (Connection refused)
	at java.net.PlainSocketImpl.socketConnect(Native Method)
	at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
	at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
	at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
	at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
	at java.net.Socket.connect(Socket.java:589)
	at org.apache.http.conn.scheme.PlainSocketFactory.connectSocket(PlainSocketFactory.java:117)
	at org.apache.http.impl.conn.DefaultClientConnectionOperator.openConnection(DefaultClientConnectionOperator.java:177)
	at org.apache.http.impl.conn.ManagedClientConnectionImpl.open(ManagedClientConnectionImpl.java:304)
	at org.apache.http.impl.client.DefaultRequestDirector.tryConnect(DefaultRequestDirector.java:611)
	at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:446)
	at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:863)
	at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82)
	at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:106)
	at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:57)
	at org.dataone.cn.indexer.solrhttp.HTTPService.doRequest(HTTPService.java:384)
	at org.dataone.cn.indexer.solrhttp.HTTPService.getDocumentsByField(HTTPService.java:339)
	at org.dataone.cn.indexer.solrhttp.HTTPService.getDocumentsById(HTTPService.java:284)
	at org.dataone.cn.indexer.solrhttp.HTTPService.retrieveDocumentFromSolrServer(HTTPService.java:405)
	at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.processDocument(AnnotatorSubprocessor.java:138)
	at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.compareFields(SolrFieldAnnotatorTest.java:119)
	at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.testAnnotationFields(SolrFieldAnnotatorTest.java:150)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:45)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:42)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
	at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
	at org.springframework.test.context.junit4.statements.RunBeforeTestMethodCallbacks.evaluate(RunBeforeTestMethodCallbacks.java:74)
	at org.springframework.test.context.junit4.statements.RunAfterTestMethodCallbacks.evaluate(RunAfterTestMethodCallbacks.java:83)
	at org.springframework.test.context.junit4.statements.SpringRepeat.evaluate(SpringRepeat.java:72)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
	at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
	at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
	at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
	at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
	at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
	at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
	at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
	at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
	at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
[ WARN] 2017-11-21 22:09:51,176 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:processDocument:147) DID NOT LOCATE REFERENCED DOC: peggym.130.4
Checking value: peggym.130.4
in expected: [peggym.130.4]
Checking value: annotation.130.4
in expected: [annotation.130.4]
Checking value: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
in expected: [http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass, http://ecoinformatics.org/oboe/oboe.1.0/oboe-core.owl#PhysicalCharacteristic, http://ecoinformatics.org/oboe/oboe.1.0/oboe-core.owl#Characteristic, http://www.w3.org/2000/01/rdf-schema#Resource]
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 3.46 sec - in org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest
Running org.dataone.cn.indexer.annotation.AnnotatorSubprocessorTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 1, Time elapsed: 0.004 sec - in org.dataone.cn.indexer.annotation.AnnotatorSubprocessorTest
Running org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest
Creating dataDir: /tmp/org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest_1F9FA4BF4DBD6932-001/init-core-data-001
[ WARN] 2017-11-21 22:09:52,016 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:09:52,356 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:09:52,357 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:09:52,398 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:09:52,430 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Comparing value for field abstract
Doc Value:  This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Solr Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.

Comparing value for field keywords
Doc Value:  [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Solr Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]

Comparing value for field title
Doc Value:  Augrabies falls National Park census data.
Solr Value: Augrabies falls National Park census data.

Comparing value for field southBoundCoord
Doc Value:  26.0
Solr Value: 26.0

Comparing value for field northBoundCoord
Doc Value:  26.0
Solr Value: 26.0

Comparing value for field westBoundCoord
Doc Value:  -120.31121
Solr Value: -120.31121

Comparing value for field eastBoundCoord
Doc Value:  -120.31121
Solr Value: -120.31121

Comparing value for field site
Doc Value:  [Agulhas falls national Park]
Solr Value: [Agulhas falls national Park]

Comparing value for field beginDate
Doc Value:  Thu Jan 01 00:00:00 CET 1998
Solr Value: Thu Jan 01 00:00:00 CET 1998

Comparing value for field endDate
Doc Value:  Fri Feb 13 00:00:00 CET 2004
Solr Value: Fri Feb 13 00:00:00 CET 2004

Comparing value for field author
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorSurName
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorSurNameSort
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorLastName
Doc Value:  [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]

Comparing value for field investigator
Doc Value:  [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]

Comparing value for field origin
Doc Value:  [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Solr Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]

Comparing value for field contactOrganization
Doc Value:  [SANParks, The Awesome Store]
Solr Value: [SANParks, The Awesome Store]

Comparing value for field genus
Doc Value:  [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Solr Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]

Comparing value for field species
Doc Value:  [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Solr Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]

Comparing value for field scientificName
Doc Value:  [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Solr Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]

Comparing value for field attributeName
Doc Value:  [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Solr Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]

Comparing value for field attributeDescription
Doc Value:  [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Solr Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]

Comparing value for field attributeUnit
Doc Value:  [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Solr Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]

Comparing value for field attribute
Doc Value:  [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]
Solr Value: [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4

Comparing value for field text
Doc Value:  Augrabies falls National Park census data.   SANParks    Garcia  Freddy   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa     Freeman  Gordon   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    The Awesome Store  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.   SANParks, South Africa  Augrabies Falls National Park,South Africa  Census data  EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature    Agulhas falls national Park   -120.311210  -120.311210  26.0  26.0       1998    2004-02-13       Genus  Antidorcas   Species  marsupialis  Hartmans Zebra     Genus  Cercopithecus   Species  aethiops  Vervet monkey     Genus  Diceros   Species  bicornis  Baboon     Genus  Equus   Species  hartmannae  Giraffe     Genus  Giraffa   Species  camelopardalis  Kudu     Genus  Oreotragus   Species  oreotragus  Gemsbok     Genus  Oryz   Species  gazella  Eland     Genus  Papio   Species  hamadryas     Genus  Taurotragus   Species  oryx  Black rhino     Genus  Tragelaphus   Species  strepsiceros  Klipspringer      1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless
Solr Value: Augrabies falls National Park census data.   SANParks    Garcia  Freddy   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa     Freeman  Gordon   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    The Awesome Store  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.   SANParks, South Africa  Augrabies Falls National Park,South Africa  Census data  EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature    Agulhas falls national Park   -120.311210  -120.311210  26.0  26.0       1998    2004-02-13       Genus  Antidorcas   Species  marsupialis  Hartmans Zebra     Genus  Cercopithecus   Species  aethiops  Vervet monkey     Genus  Diceros   Species  bicornis  Baboon     Genus  Equus   Species  hartmannae  Giraffe     Genus  Giraffa   Species  camelopardalis  Kudu     Genus  Oreotragus   Species  oreotragus  Gemsbok     Genus  Oryz   Species  gazella  Eland     Genus  Papio   Species  hamadryas     Genus  Taurotragus   Species  oryx  Black rhino     Genus  Tragelaphus   Species  strepsiceros  Klipspringer      1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9k]
Solr Value: [9k]

Comparing value for field geohash_3
Doc Value:  [9kd]
Solr Value: [9kd]

Comparing value for field geohash_4
Doc Value:  [9kd7]
Solr Value: [9kd7]

Comparing value for field geohash_5
Doc Value:  [9kd7y]
Solr Value: [9kd7y]

Comparing value for field geohash_6
Doc Value:  [9kd7ym]
Solr Value: [9kd7ym]

Comparing value for field geohash_7
Doc Value:  [9kd7ym0]
Solr Value: [9kd7ym0]

Comparing value for field geohash_8
Doc Value:  [9kd7ym0h]
Solr Value: [9kd7ym0h]

Comparing value for field geohash_9
Doc Value:  [9kd7ym0hc]
Solr Value: [9kd7ym0hc]

Comparing value for field isService
Doc Value:  false
Solr Value: false

Comparing value for field id
Doc Value:  peggym.130.4
Solr Value: peggym.130.4

Comparing value for field seriesId
Doc Value:  peggym.130
Solr Value: peggym.130

Comparing value for field formatId
Doc Value:  eml://ecoinformatics.org/eml-2.1.0
Solr Value: eml://ecoinformatics.org/eml-2.1.0

Comparing value for field formatType
Doc Value:  METADATA
Solr Value: METADATA

Comparing value for field size
Doc Value:  36281
Solr Value: 36281

Comparing value for field checksum
Doc Value:  24426711d5385a9ffa583a13d07af2502884932f
Solr Value: 24426711d5385a9ffa583a13d07af2502884932f

Comparing value for field submitter
Doc Value:  dataone_integration_test_user
Solr Value: dataone_integration_test_user

Comparing value for field checksumAlgorithm
Doc Value:  SHA-1
Solr Value: SHA-1

Comparing value for field rightsHolder
Doc Value:  dataone_integration_test_user
Solr Value: dataone_integration_test_user

Comparing value for field replicationAllowed
Doc Value:  true
Solr Value: true

Comparing value for field obsoletes
Doc Value:  peggym.130.3
Solr Value: peggym.130.3

Comparing value for field dateUploaded
Doc Value:  Wed Aug 31 15:59:50 CET 2011
Solr Value: Wed Aug 31 15:59:50 CET 2011

Comparing value for field dateModified
Doc Value:  Wed Aug 31 15:59:50 CET 2011
Solr Value: Wed Aug 31 15:59:50 CET 2011

Comparing value for field datasource
Doc Value:  test_documents
Solr Value: test_documents

Comparing value for field authoritativeMN
Doc Value:  test_documents
Solr Value: test_documents

Comparing value for field readPermission
Doc Value:  [public, dataone_public_user, dataone_test_user]
Solr Value: [public, dataone_public_user, dataone_test_user]

Comparing value for field writePermission
Doc Value:  [dataone_integration_test_user]
Solr Value: [dataone_integration_test_user]

Comparing value for field isPublic
Doc Value:  true
Solr Value: true

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4

[ WARN] 2017-11-21 22:09:53,212 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.org/dc/terms/
[ WARN] 2017-11-21 22:09:54,489 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://www.w3.org/2006/time
[ WARN] 2017-11-21 22:09:54,737 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.dataone.org/ontologies/observation/d1-ECSO.owl
[ERROR] 2017-11-21 22:09:54,755 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:parseAnnotation:277) Problem exapnding concept: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
org.apache.jena.atlas.web.HttpException: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
	at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1026)
	at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:291)
	at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:326)
	at org.apache.jena.riot.stream.LocatorURL.open(LocatorURL.java:46)
	at org.apache.jena.riot.stream.StreamManager.openNoMapOrNull(StreamManager.java:138)
	at org.apache.jena.riot.stream.StreamManager.open(StreamManager.java:99)
	at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:783)
	at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:772)
	at org.apache.jena.riot.RDFDataMgr.parse(RDFDataMgr.java:676)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:211)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:184)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:122)
	at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:113)
	at org.apache.jena.riot.adapters.RDFReaderRIOT.read(RDFReaderRIOT.java:77)
	at com.hp.hpl.jena.rdf.model.impl.ModelCom.read(ModelCom.java:229)
	at com.hp.hpl.jena.ontology.impl.OntModelImpl.readDelegate(OntModelImpl.java:3107)
	at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2198)
	at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2122)
	at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.expandConcepts(AnnotatorSubprocessor.java:310)
	at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.parseAnnotation(AnnotatorSubprocessor.java:267)
	at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.processDocument(AnnotatorSubprocessor.java:128)
	at org.dataone.cn.indexer.SolrIndexService.processObject(SolrIndexService.java:231)
	at org.dataone.cn.indexer.SolrIndexService.insertIntoIndex(SolrIndexService.java:304)
	at org.dataone.cn.index.DataONESolrJettyTestBase.addSysAndSciMetaToSolrIndex(DataONESolrJettyTestBase.java:84)
	at org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest.testSystemMetadataEml210AndAnnotation(SolrIndexAnnotatorTest.java:93)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$6.evaluate(RandomizedRunner.java:836)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$7.evaluate(RandomizedRunner.java:872)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$8.evaluate(RandomizedRunner.java:886)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.TestRuleSetupTeardownChained$1.evaluate(TestRuleSetupTeardownChained.java:50)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at org.apache.lucene.util.TestRuleThreadAndTestName$1.evaluate(TestRuleThreadAndTestName.java:49)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl.forkTimeoutingTask(ThreadLeakControl.java:798)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$3.evaluate(ThreadLeakControl.java:458)
	at com.carrotsearch.randomizedtesting.RandomizedRunner.runSingleTest(RandomizedRunner.java:845)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$3.evaluate(RandomizedRunner.java:747)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:781)
	at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
	at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
	at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
	at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
	at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
	at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
	at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
	at java.lang.Thread.run(Thread.java:745)
Caused by: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
	at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:231)
	at org.apache.http.conn.ssl.BrowserCompatHostnameVerifier.verify(BrowserCompatHostnameVerifier.java:54)
	at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:152)
	at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:133)
	at org.apache.http.conn.ssl.SSLSocketFactory.verifyHostname(SSLSocketFactory.java:559)
	at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:534)
	at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:401)
	at org.apache.http.impl.conn.DefaultClientConnectionOperator.openConnection(DefaultClientConnectionOperator.java:177)
	at org.apache.http.impl.conn.ManagedClientConnectionImpl.open(ManagedClientConnectionImpl.java:304)
	at org.apache.http.impl.client.DefaultRequestDirector.tryConnect(DefaultRequestDirector.java:611)
	at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:446)
	at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:863)
	at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82)
	at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:57)
	at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1011)
	... 63 more
FIELD NAME=id, VALUE=peggym.130.4
FIELD NAME=identifier, VALUE=peggym.130.4
FIELD NAME=seriesId, VALUE=peggym.130
FIELD NAME=formatId, VALUE=eml://ecoinformatics.org/eml-2.1.0
FIELD NAME=formatType, VALUE=METADATA
FIELD NAME=size, VALUE=36281
FIELD NAME=checksum, VALUE=24426711d5385a9ffa583a13d07af2502884932f
FIELD NAME=submitter, VALUE=dataone_integration_test_user
FIELD NAME=checksumAlgorithm, VALUE=SHA-1
FIELD NAME=rightsHolder, VALUE=dataone_integration_test_user
FIELD NAME=replicationAllowed, VALUE=true
FIELD NAME=obsoletes, VALUE=peggym.130.3
FIELD NAME=dateUploaded, VALUE=Wed Aug 31 15:59:50 CET 2011
FIELD NAME=updateDate, VALUE=Wed Aug 31 15:59:50 CET 2011
FIELD NAME=dateModified, VALUE=Wed Aug 31 15:59:50 CET 2011
FIELD NAME=datasource, VALUE=test_documents
FIELD NAME=authoritativeMN, VALUE=test_documents
FIELD NAME=readPermission, VALUE=[public, dataone_public_user, dataone_test_user]
FIELD NAME=writePermission, VALUE=[dataone_integration_test_user]
FIELD NAME=isPublic, VALUE=true
FIELD NAME=dataUrl, VALUE=https://cn.dataone.org/cn/v2/resolve/peggym.130.4
FIELD NAME=abstract, VALUE=This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
FIELD NAME=keywords, VALUE=[SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
FIELD NAME=title, VALUE=Augrabies falls National Park census data.
FIELD NAME=southBoundCoord, VALUE=26.0
FIELD NAME=northBoundCoord, VALUE=26.0
FIELD NAME=westBoundCoord, VALUE=-120.31121
FIELD NAME=eastBoundCoord, VALUE=-120.31121
FIELD NAME=site, VALUE=[Agulhas falls national Park]
FIELD NAME=beginDate, VALUE=Thu Jan 01 00:00:00 CET 1998
FIELD NAME=endDate, VALUE=Fri Feb 13 00:00:00 CET 2004
FIELD NAME=author, VALUE=SANParks
FIELD NAME=authorSurName, VALUE=SANParks
FIELD NAME=authorSurNameSort, VALUE=SANParks
FIELD NAME=authorLastName, VALUE=[SANParks, Garcia, Freeman]
FIELD NAME=investigator, VALUE=[SANParks, Garcia, Freeman]
FIELD NAME=origin, VALUE=[SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
FIELD NAME=contactOrganization, VALUE=[SANParks, The Awesome Store]
FIELD NAME=genus, VALUE=[Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
FIELD NAME=species, VALUE=[marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
FIELD NAME=scientificName, VALUE=[Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
FIELD NAME=attributeName, VALUE=[ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
FIELD NAME=attributeDescription, VALUE=[The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
FIELD NAME=attributeUnit, VALUE=[dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
FIELD NAME=attribute, VALUE=[ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]
FIELD NAME=fileID, VALUE=https://cn.dataone.org/cn/v2/resolve/peggym.130.4
FIELD NAME=geohash_1, VALUE=[9]
FIELD NAME=geohash_2, VALUE=[9k]
FIELD NAME=geohash_3, VALUE=[9kd]
FIELD NAME=geohash_4, VALUE=[9kd7]
FIELD NAME=geohash_5, VALUE=[9kd7y]
FIELD NAME=geohash_6, VALUE=[9kd7ym]
FIELD NAME=geohash_7, VALUE=[9kd7ym0]
FIELD NAME=geohash_8, VALUE=[9kd7ym0h]
FIELD NAME=geohash_9, VALUE=[9kd7ym0hc]
FIELD NAME=isService, VALUE=false
FIELD NAME=serviceCoupling, VALUE=false
FIELD NAME=sem_annotated_by, VALUE=[annotation.130.4]
FIELD NAME=sem_annotation, VALUE=[http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass]
FIELD NAME=_version_, VALUE=1584715210281713664
annotationValue: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
Comparing value for field abstract
Doc Value:  This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Solr Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.

Comparing value for field keywords
Doc Value:  [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Solr Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]

Comparing value for field title
Doc Value:  Augrabies falls National Park census data.
Solr Value: Augrabies falls National Park census data.

Comparing value for field southBoundCoord
Doc Value:  26.0
Solr Value: 26.0

Comparing value for field northBoundCoord
Doc Value:  26.0
Solr Value: 26.0

Comparing value for field westBoundCoord
Doc Value:  -120.31121
Solr Value: -120.31121

Comparing value for field eastBoundCoord
Doc Value:  -120.31121
Solr Value: -120.31121

Comparing value for field site
Doc Value:  [Agulhas falls national Park]
Solr Value: [Agulhas falls national Park]

Comparing value for field beginDate
Doc Value:  Thu Jan 01 00:00:00 CET 1998
Solr Value: Thu Jan 01 00:00:00 CET 1998

Comparing value for field endDate
Doc Value:  Fri Feb 13 00:00:00 CET 2004
Solr Value: Fri Feb 13 00:00:00 CET 2004

Comparing value for field author
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorSurName
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorSurNameSort
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorLastName
Doc Value:  [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]

Comparing value for field investigator
Doc Value:  [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]

Comparing value for field origin
Doc Value:  [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Solr Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]

Comparing value for field contactOrganization
Doc Value:  [SANParks, The Awesome Store]
Solr Value: [SANParks, The Awesome Store]

Comparing value for field genus
Doc Value:  [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Solr Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]

Comparing value for field species
Doc Value:  [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Solr Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]

Comparing value for field scientificName
Doc Value:  [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Solr Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]

Comparing value for field attributeName
Doc Value:  [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Solr Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]

Comparing value for field attributeDescription
Doc Value:  [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Solr Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]

Comparing value for field attributeUnit
Doc Value:  [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Solr Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]

Comparing value for field attribute
Doc Value:  [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]
Solr Value: [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4

Comparing value for field text

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9k]
Solr Value: [9k]

Comparing value for field geohash_3
Doc Value:  [9kd]
Solr Value: [9kd]

Comparing value for field geohash_4
Doc Value:  [9kd7]
Solr Value: [9kd7]

Comparing value for field geohash_5
Doc Value:  [9kd7y]
Solr Value: [9kd7y]

Comparing value for field geohash_6
Doc Value:  [9kd7ym]
Solr Value: [9kd7ym]

Comparing value for field geohash_7
Doc Value:  [9kd7ym0]
Solr Value: [9kd7ym0]

Comparing value for field geohash_8
Doc Value:  [9kd7ym0h]
Solr Value: [9kd7ym0h]

Comparing value for field geohash_9
Doc Value:  [9kd7ym0hc]
Solr Value: [9kd7ym0hc]

Comparing value for field isService
Doc Value:  false
Solr Value: false

Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 4.163 sec - in org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest
Running org.dataone.cn.indexer.processor.TestIndexTaskProcessorConcurrency
============= scheduler START ==============Tue Nov 21 22:09:55 UTC 2017
instantiating MockIndexTaskProcessorJob: 
MockIndexTaskProcessorJob: entering execute... 
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MockIndexTaskProcessorJob...finished execution in (millis) 8
after 3000 millis, finishing task: 1
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============= attempt to kill the Job ==============Tue Nov 21 22:10:00 UTC 2017
********************* ProcessorJob interrupt called, calling executorservice shutdown...
Job scheduler finish executing all jobs.
============= continue to wait 5 sec... ==============Tue Nov 21 22:10:00 UTC 2017
after 3000 millis, finishing task: 3
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============= scheduler SHUTDOWN ==============Tue Nov 21 22:10:05 UTC 2017
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============= DONE !!!!!!!!!! ==============Tue Nov 21 22:10:35 UTC 2017
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 40.089 sec - in org.dataone.cn.indexer.processor.TestIndexTaskProcessorConcurrency
Running org.dataone.cn.index.SolrIndexBatchAddTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrIndexBatchAddTest_382A34790614B7E0-001/init-core-data-001
[ WARN] 2017-11-21 22:10:36,089 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:10:36,515 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:10:36,516 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:10:36,565 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:10:36,595 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.965 sec - in org.dataone.cn.index.SolrIndexBatchAddTest
Running org.dataone.cn.index.SolrSearchIndexQueryTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrSearchIndexQueryTest_1BBADC7258AC45D3-001/init-core-data-001
after 3000 millis, finishing task: 41
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[ WARN] 2017-11-21 22:10:38,027 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:10:38,414 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:10:38,415 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:10:38,446 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:10:38,468 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.535 sec - in org.dataone.cn.index.SolrSearchIndexQueryTest
Running org.dataone.cn.index.IndexTaskProcessingIntegrationTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.015 sec - in org.dataone.cn.index.IndexTaskProcessingIntegrationTest
Running org.dataone.cn.index.SolrFieldXPathDryad31Test
after 3000 millis, finishing task: 43
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Compared fields for: rightsHolder
Expected values: [admin@datadryad.org]
Actual values:   [admin@datadryad.org]

Compared fields for: submitter
Expected values: [lozanette@gmail.com]
Actual values:   [lozanette@gmail.com]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2012-05-22T19:49:50.000Z]
Actual values:   [2012-05-22T19:49:50.000Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [799ab8c72997ad4cbb979e6d6df42d3]
Actual values:   [799ab8c72997ad4cbb979e6d6df42d3]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [http:/dx.doi.org/10.5061/dryad.m4h77]
Actual values:   [http:/dx.doi.org/10.5061/dryad.m4h77]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:DRYAD]
Actual values:   [urn:node:DRYAD]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]

Compared fields for: dateModified
Expected values: [2012-06-27T14:30:30.009Z]
Actual values:   [2012-06-27T14:30:30.009Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://datadryad.org/profile/v3.1]
Actual values:   [http://datadryad.org/profile/v3.1]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [3686]
Actual values:   [3686]

Compared fields for: datasource
Expected values: [urn:node:DRYAD]
Actual values:   [urn:node:DRYAD]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [kin selection, inclusive fitness theory, worker reproduction, social insect]
Actual values:   [kin selection, inclusive fitness theory, worker reproduction, social insect]

Compared fields for: scientificName
Expected values: [Bombus terrestris]
Actual values:   [Bombus terrestris]

Compared fields for: author
Expected values: [Zanette, Lorenzo Roberto Sgobaro]
Actual values:   [Zanette, Lorenzo Roberto Sgobaro]

Compared fields for: authorSurName
Expected values: [Zanette]
Actual values:   [Zanette]

Compared fields for: origin
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values:   [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]

Compared fields for: abstract
Expected values: [Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โ€œprimitivelyโ€ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โ€œclassicalโ€ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing.]
Actual values:   [Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โ€œprimitivelyโ€ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โ€œclassicalโ€ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing.]

Compared fields for: title
Expected values: [Data from: Reproductive conflict in bumblebees and the evolution of worker policing]
Actual values:   [Data from: Reproductive conflict in bumblebees and the evolution of worker policing]

Compared fields for: pubDate
Expected values: [2012-05-22T19:49:50.000Z]
Actual values:   [2012-05-22T19:49:50.000Z]

Compared fields for: authorGivenNameSort
Expected values: [Lorenzo Roberto Sgobaro]
Actual values:   [Lorenzo Roberto Sgobaro]

Compared fields for: investigator
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values:   [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]

Compared fields for: site
Expected values: [United Kingdom]
Actual values:   [United Kingdom]

Compared fields for: authorSurNameSort
Expected values: [Zanette]
Actual values:   [Zanette]

Compared fields for: authorGivenName
Expected values: [Lorenzo Roberto Sgobaro]
Actual values:   [Lorenzo Roberto Sgobaro]

Compared fields for: text
Expected values: [package  Zanette, Lorenzo Roberto Sgobaro  Miller, Sophie D. L.  Faria, Christiana M. A.  Almond, Edd J.  Huggins, Tim J.  Jordan, William C.  Bourke, Andrew F. G.  2012-05-22T19:49:50Z  2012-05-22T19:49:50Z  Data from: Reproductive conflict in bumblebees and the evolution of worker policing  http://dx.doi.org/10.5061/dryad.m4h77  Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โ€œprimitivelyโ€ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โ€œclassicalโ€ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing.  kin selection  inclusive fitness theory  worker reproduction  social insect  Bombus terrestris  United Kingdom  http://dx.doi.org/10.1111/j.1558-5646.2012.01709.x  Evolution  http://dx.doi.org/10.5061/dryad.m4h77/1  http://dx.doi.org/10.5061/dryad.m4h77/2  http://dx.doi.org/10.5061/dryad.m4h77/3  http://dx.doi.org/10.5061/dryad.m4h77/4  http://dx.doi.org/10.5061/dryad.m4h77/5  http://dx.doi.org/10.5061/dryad.m4h77/6 http:/dx.doi.org/10.5061/dryad.m4h77]
Actual values:   [package  Zanette, Lorenzo Roberto Sgobaro  Miller, Sophie D. L.  Faria, Christiana M. A.  Almond, Edd J.  Huggins, Tim J.  Jordan, William C.  Bourke, Andrew F. G.  2012-05-22T19:49:50Z  2012-05-22T19:49:50Z  Data from: Reproductive conflict in bumblebees and the evolution of worker policing  http://dx.doi.org/10.5061/dryad.m4h77  Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โ€œprimitivelyโ€ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โ€œclassicalโ€ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing.  kin selection  inclusive fitness theory  worker reproduction  social insect  Bombus terrestris  United Kingdom  http://dx.doi.org/10.1111/j.1558-5646.2012.01709.x  Evolution  http://dx.doi.org/10.5061/dryad.m4h77/1  http://dx.doi.org/10.5061/dryad.m4h77/2  http://dx.doi.org/10.5061/dryad.m4h77/3  http://dx.doi.org/10.5061/dryad.m4h77/4  http://dx.doi.org/10.5061/dryad.m4h77/5  http://dx.doi.org/10.5061/dryad.m4h77/6 http:/dx.doi.org/10.5061/dryad.m4h77]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]

Compared fields for: rightsHolder
Expected values: [admin@datadryad.org]
Actual values:   [admin@datadryad.org]

Compared fields for: submitter
Expected values: [lozanette@gmail.com]
Actual values:   [lozanette@gmail.com]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2012-05-22T19:49:50.000Z]
Actual values:   [2012-05-22T19:49:50.000Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [3bb3b1de2a4ee6ed227d985f74471265]
Actual values:   [3bb3b1de2a4ee6ed227d985f74471265]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [http:/dx.doi.org/10.5061/dryad.m4h77/1]
Actual values:   [http:/dx.doi.org/10.5061/dryad.m4h77/1]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:DRYAD]
Actual values:   [urn:node:DRYAD]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]

Compared fields for: dateModified
Expected values: [2012-06-27T14:30:34.473Z]
Actual values:   [2012-06-27T14:30:34.473Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://datadryad.org/profile/v3.1]
Actual values:   [http://datadryad.org/profile/v3.1]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [2042]
Actual values:   [2042]

Compared fields for: datasource
Expected values: [urn:node:DRYAD]
Actual values:   [urn:node:DRYAD]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [kin selection, inclusive fitness theory, worker reproduction, social insect]
Actual values:   [kin selection, inclusive fitness theory, worker reproduction, social insect]

Compared fields for: scientificName
Expected values: [Bombus terrestris]
Actual values:   [Bombus terrestris]

Compared fields for: author
Expected values: [Zanette, Lorenzo Roberto Sgobaro]
Actual values:   [Zanette, Lorenzo Roberto Sgobaro]

Compared fields for: authorSurName
Expected values: [Zanette]
Actual values:   [Zanette]

Compared fields for: origin
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values:   [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]

Compared fields for: abstract
Expected values: []
Actual values:   []

Compared fields for: title
Expected values: [Table A1]
Actual values:   [Table A1]

Compared fields for: pubDate
Expected values: [2012-05-22T19:49:50.000Z]
Actual values:   [2012-05-22T19:49:50.000Z]

Compared fields for: authorGivenNameSort
Expected values: [Lorenzo Roberto Sgobaro]
Actual values:   [Lorenzo Roberto Sgobaro]

Compared fields for: investigator
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values:   [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]

Compared fields for: site
Expected values: [United Kingdom]
Actual values:   [United Kingdom]

Compared fields for: authorSurNameSort
Expected values: [Zanette]
Actual values:   [Zanette]

Compared fields for: authorGivenName
Expected values: [Lorenzo Roberto Sgobaro]
Actual values:   [Lorenzo Roberto Sgobaro]

Compared fields for: text
Expected values: [file  deposited  Zanette, Lorenzo Roberto Sgobaro  Miller, Sophie D. L.  Faria, Christiana M. A.  Almond, Edd J.  Huggins, Tim J.  Jordan, William C.  Bourke, Andrew F. G.  Table A1  http://dx.doi.org/10.5061/dryad.m4h77/1  http://creativecommons.org/publicdomain/zero/1.0/  kin selection  inclusive fitness theory  worker reproduction  social insect  Bombus terrestris  United Kingdom  2012-05-22T19:49:50Z  2012-06-27T14:30:34Z  Made available in DSpace on 2012-05-22T19:49:50Z (GMT). No. of bitstreams: 2
Table A1.txt: 1097 bytes, checksum: 51bb09788be23c41fb1722dd53e84a05 (MD5)
README.txt: 881 bytes, checksum: 676d5b3cb9ad3fc5400431a15bdba044 (MD5)  http://dx.doi.org/10.5061/dryad.m4h77 http:/dx.doi.org/10.5061/dryad.m4h77/1]
Actual values:   [file  deposited  Zanette, Lorenzo Roberto Sgobaro  Miller, Sophie D. L.  Faria, Christiana M. A.  Almond, Edd J.  Huggins, Tim J.  Jordan, William C.  Bourke, Andrew F. G.  Table A1  http://dx.doi.org/10.5061/dryad.m4h77/1  http://creativecommons.org/publicdomain/zero/1.0/  kin selection  inclusive fitness theory  worker reproduction  social insect  Bombus terrestris  United Kingdom  2012-05-22T19:49:50Z  2012-06-27T14:30:34Z  Made available in DSpace on 2012-05-22T19:49:50Z (GMT). No. of bitstreams: 2
Table A1.txt: 1097 bytes, checksum: 51bb09788be23c41fb1722dd53e84a05 (MD5)
README.txt: 881 bytes, checksum: 676d5b3cb9ad3fc5400431a15bdba044 (MD5)  http://dx.doi.org/10.5061/dryad.m4h77 http:/dx.doi.org/10.5061/dryad.m4h77/1]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]

Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.048 sec - in org.dataone.cn.index.SolrFieldXPathDryad31Test
Running org.dataone.cn.index.SolrIndexDeleteTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrIndexDeleteTest_5007E5D734A635F5-001/init-core-data-001
[ WARN] 2017-11-21 22:10:41,672 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:10:42,027 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:10:42,027 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:10:42,058 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:10:42,078 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
++++++++++++++++++++++++++ start of testDataPackageWithArchivedDoc
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
after 3000 millis, finishing task: 46
Starting task: 48
after 3000 millis, finishing task: 47
after 3000 millis, finishing task: 45
Starting task: 49
Starting task: 50
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
after 3000 millis, finishing task: 48
Starting task: 51
after 3000 millis, finishing task: 49
Starting task: 52
after 3000 millis, finishing task: 50
Starting task: 53
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 51
after 3000 millis, finishing task: 52
Starting task: 54
after 3000 millis, finishing task: 53
Starting task: 55
Starting task: 56
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@36652ccd
[Ljava.lang.StackTraceElement;@1510156d
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 54
after 3000 millis, finishing task: 56
Starting task: 57
after 3000 millis, finishing task: 55
Starting task: 58
Starting task: 59
++++++++++++++++++++++++++ end of testDataPackageWithArchivedDoc
++++++++++++++++++++++++++ start of testArchiveScienceMetadataInPackage
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
after 3000 millis, finishing task: 57
after 3000 millis, finishing task: 58
Starting task: 60
after 3000 millis, finishing task: 59
Starting task: 61
Starting task: 62
after 3000 millis, finishing task: 60
after 3000 millis, finishing task: 61
after 3000 millis, finishing task: 62
Starting task: 63
Starting task: 65
Starting task: 64
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 63
after 3000 millis, finishing task: 64
after 3000 millis, finishing task: 65
Starting task: 68
Starting task: 67
Starting task: 66
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@7d12566
after 3000 millis, finishing task: 68
Starting task: 69
after 3000 millis, finishing task: 66
Starting task: 70
after 3000 millis, finishing task: 67
Starting task: 71
[Ljava.lang.StackTraceElement;@2b7d8a17
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 69
after 3000 millis, finishing task: 70
Starting task: 72
after 3000 millis, finishing task: 71
Starting task: 74
Starting task: 73
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
after 3000 millis, finishing task: 72
Starting task: 75
after 3000 millis, finishing task: 73
after 3000 millis, finishing task: 74
Starting task: 77
Starting task: 76
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 75
Starting task: 78
after 3000 millis, finishing task: 76
Starting task: 79
after 3000 millis, finishing task: 77
Starting task: 80
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
after 3000 millis, finishing task: 78
Starting task: 81
after 3000 millis, finishing task: 79
Starting task: 82
after 3000 millis, finishing task: 80
Starting task: 83
after 3000 millis, finishing task: 81
Starting task: 84
after 3000 millis, finishing task: 82
after 3000 millis, finishing task: 83
Starting task: 86
Starting task: 85
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@2b1c8bd9
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 84
Starting task: 87
after 3000 millis, finishing task: 85
after 3000 millis, finishing task: 86
Starting task: 89
Starting task: 88
++++++++++++++++++++++++++ end of testArchiveScienceMetadataInPackage
++++++++++++++++++++++++++ start of testArchiveDataInPackage
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
after 3000 millis, finishing task: 87
Starting task: 90
after 3000 millis, finishing task: 89
Starting task: 91
after 3000 millis, finishing task: 88
Starting task: 92
after 3000 millis, finishing task: 90
after 3000 millis, finishing task: 91
Starting task: 94
Starting task: 93
after 3000 millis, finishing task: 92
Starting task: 95
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 94
Starting task: 96
after 3000 millis, finishing task: 95
after 3000 millis, finishing task: 93
Starting task: 97
Starting task: 98
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@559cc391
[Ljava.lang.StackTraceElement;@1c6e0626
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
after 3000 millis, finishing task: 96
Starting task: 99
after 3000 millis, finishing task: 98
after 3000 millis, finishing task: 97
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
after 3000 millis, finishing task: 99
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@178ab136
[Ljava.lang.StackTraceElement;@74f59f57
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testArchiveDataInPackage
++++++++++++++++++++++++++ start of testDeleteDataPackagesWithComplicatedRelation
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@f82d741
[Ljava.lang.StackTraceElement;@2c58a8d1
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@30946112
[Ljava.lang.StackTraceElement;@21eb0415
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
[Ljava.lang.StackTraceElement;@49b8a581
[Ljava.lang.StackTraceElement;@7af80661
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@25c9b322
[Ljava.lang.StackTraceElement;@2987320f
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteDataPackagesWithComplicatedRelation
++++++++++++++++++++++++++ start of testDeleteDataPackageWithDuplicatedRelationship
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@2040f50
[Ljava.lang.StackTraceElement;@34258a85
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@5d873c6b
[Ljava.lang.StackTraceElement;@1124518c
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
[Ljava.lang.StackTraceElement;@ca3d283
[Ljava.lang.StackTraceElement;@3808cefd
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@3831b379
[Ljava.lang.StackTraceElement;@5cc66657
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteDataPackageWithDuplicatedRelationship
++++++++++++++++++++++++++ start of testDeleteDataPackage
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@4c7549a0
[Ljava.lang.StackTraceElement;@64c1867b
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteDataPackage
++++++++++++++++++++++++++ start of testDeleteTwoOverlappedDataPackage
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@45e192bd
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@5a356ef
[Ljava.lang.StackTraceElement;@76cdc26f
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
[Ljava.lang.StackTraceElement;@3cc7d05a
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@2784618
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteTwoOverlappedDataPackage
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id38_0_, indextask0_.dateSysMetaModified as dateSysM2_38_0_, indextask0_.deleted as deleted38_0_, indextask0_.formatId as formatId38_0_, indextask0_.nextExecution as nextExec5_38_0_, indextask0_.objectPath as objectPath38_0_, indextask0_.pid as pid38_0_, indextask0_.priority as priority38_0_, indextask0_.status as status38_0_, indextask0_.sysMetadata as sysMeta10_38_0_, indextask0_.taskModifiedDate as taskMod11_38_0_, indextask0_.tryCount as tryCount38_0_, indextask0_.version as version38_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id38_0_, indextask0_.dateSysMetaModified as dateSysM2_38_0_, indextask0_.deleted as deleted38_0_, indextask0_.formatId as formatId38_0_, indextask0_.nextExecution as nextExec5_38_0_, indextask0_.objectPath as objectPath38_0_, indextask0_.pid as pid38_0_, indextask0_.priority as priority38_0_, indextask0_.status as status38_0_, indextask0_.sysMetadata as sysMeta10_38_0_, indextask0_.taskModifiedDate as taskMod11_38_0_, indextask0_.tryCount as tryCount38_0_, indextask0_.version as version38_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id38_0_, indextask0_.dateSysMetaModified as dateSysM2_38_0_, indextask0_.deleted as deleted38_0_, indextask0_.formatId as formatId38_0_, indextask0_.nextExecution as nextExec5_38_0_, indextask0_.objectPath as objectPath38_0_, indextask0_.pid as pid38_0_, indextask0_.priority as priority38_0_, indextask0_.status as status38_0_, indextask0_.sysMetadata as sysMeta10_38_0_, indextask0_.taskModifiedDate as taskMod11_38_0_, indextask0_.tryCount as tryCount38_0_, indextask0_.version as version38_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id38_, indextask0_.dateSysMetaModified as dateSysM2_38_, indextask0_.deleted as deleted38_, indextask0_.formatId as formatId38_, indextask0_.nextExecution as nextExec5_38_, indextask0_.objectPath as objectPath38_, indextask0_.pid as pid38_, indextask0_.priority as priority38_, indextask0_.status as status38_, indextask0_.sysMetadata as sysMeta10_38_, indextask0_.taskModifiedDate as taskMod11_38_, indextask0_.tryCount as tryCount38_, indextask0_.version as version38_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id38_0_, indextask0_.dateSysMetaModified as dateSysM2_38_0_, indextask0_.deleted as deleted38_0_, indextask0_.formatId as formatId38_0_, indextask0_.nextExecution as nextExec5_38_0_, indextask0_.objectPath as objectPath38_0_, indextask0_.pid as pid38_0_, indextask0_.priority as priority38_0_, indextask0_.status as status38_0_, indextask0_.sysMetadata as sysMeta10_38_0_, indextask0_.taskModifiedDate as taskMod11_38_0_, indextask0_.tryCount as tryCount38_0_, indextask0_.version as version38_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ start of testArchiveDataPackage
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@659c39a4
[Ljava.lang.StackTraceElement;@7482a285
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testArchiveDataPackage
Tests run: 10, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 268.001 sec - in org.dataone.cn.index.SolrIndexDeleteTest
Running org.dataone.cn.index.SolrFieldXPathFgdcTest
Compared fields for: rightsHolder
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]

Compared fields for: submitter
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2012-03-22T13:55:48.348Z]
Actual values:   [2012-03-22T13:55:48.348Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: [csiro_e_abayadultprawns]
Actual values:   [csiro_e_abayadultprawns]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [86bc6417ef29b6fbd279160699044e5e]
Actual values:   [86bc6417ef29b6fbd279160699044e5e]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values:   [www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]

Compared fields for: dateModified
Expected values: [2012-03-22T13:55:48.360Z]
Actual values:   [2012-03-22T13:55:48.360Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: [3]
Actual values:   [3]

Compared fields for: obsoletes
Expected values: [csiro_c_abayadultprawns]
Actual values:   [csiro_c_abayadultprawns]

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [FGDC-STD-001.1-1999]
Actual values:   [FGDC-STD-001.1-1999]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [9008]
Actual values:   [9008]

Compared fields for: datasource
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]

Compared fields for: keywords
Expected values: [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]
Actual values:   [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]

Compared fields for: endDate
Expected values: [1992-04-01T00:00:00.000Z]
Actual values:   [1992-04-01T00:00:00.000Z]

Compared fields for: purpose
Expected values: [The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.]
Actual values:   [The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.]

Compared fields for: scientificName
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values:   [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]

Compared fields for: origin
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values:   [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]

Compared fields for: gcmdKeyword
Expected values: []
Actual values:   []

Compared fields for: edition
Expected values: []
Actual values:   []

Compared fields for: attributeDescription
Expected values: []
Actual values:   []

Compared fields for: title
Expected values: [Albatross Bay Adult Prawn Data 1986-1992]
Actual values:   [Albatross Bay Adult Prawn Data 1986-1992]

Compared fields for: northBoundCoord
Expected values: [-12.5]
Actual values:   [-12.5]

Compared fields for: geoform
Expected values: [maps data]
Actual values:   [maps data]

Compared fields for: investigator
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values:   [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]

Compared fields for: placeKey
Expected values: [Australlia, Gulf of Carpentaria, Albatross Bay]
Actual values:   [Australlia, Gulf of Carpentaria, Albatross Bay]

Compared fields for: westBoundCoord
Expected values: [141.5]
Actual values:   [141.5]

Compared fields for: authorSurNameSort
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values:   [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]

Compared fields for: attributeName
Expected values: []
Actual values:   []

Compared fields for: text
Expected values: [http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml     CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)  1993  Albatross Bay Adult Prawn Data 1986-1992  maps data   Australia  CSIRO Division of Marine Research      Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.  The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.  Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.The previous online linkage was determined to be broken in October 2010 and moved here.  The previous online linkage was:http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML      19860301  19920401    ground condition    Complete  None planned    Australia, Gulf of Carpentaria   141.5  142  -12.5  -13      ISO 19115 Topic Category  none    Parameter_Sensor_Source  BIOMASS|LANDSAT TM|LANDSAT-5    none  adult prawn data  size  sex  reproductive stage  moult stage  parasites  NONE    none  Australlia  Gulf of Carpentaria  Albatross Bay      none  prawns  shrimps  crustaceans       Agencies listed below  2002  Integrated Taxonomic Information System  Database   Washington, D.C.  U.S. Department of Agriculture   Department of Commerce, National Oceanic and Atmospheric Administration (NOAA),  Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH).  http://www.itis.usda.gov/       Kingdom  Animalia  animals   Phylum  Arthropoda  arthropods   Division  Test  arthropods   Subphylum  Crustacea  crustaceans   Class  Malacostraca   Subclass  Eumalacostraca   Superorder  Eucarida   Order  Decapoda  crabs  crayfishes  lobsters  prawns  shrimp           Release with the permission of the custodian.  None     Peter Crocos  CSIRO Division of Marine Research-Cleveland    mailing address  P.O. Box 120  Cleveland  Queensland  4163  Australia   unknown  unknown  peter.crocos@csiro.au      CSIRO Division of Marine Research  Unknown  Albatross Bay Chlorophyll Data 1986-1992  unknown   Australia  CSIRO Division of Marine Research       Stephen Blaber, David Brewer, John Salini, J. Kerr  Unknown  Albatross Bay Fish Data 1986-1988  unknown   Australia  CSIRO Division of Marine Research       Stever Blaber, CSIRO Division of Marine Research  Unknown  Albatross Bay Nearshore Fish Study 1991-1992  unknown   Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Nutrient Data 1992  unknown   Australia  CSIRO Division of Marine Research       Chris Jackson, CSIRO Division of Marine Research  Unknown  Albatross Bay Phytoplankton Data 1986-1992  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Prawn Larval Data  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Primary Productivity  unknown   Queensland, Australia  CSIRO Division of Marine Research       not applicable  Twenty stations were sampled.    Field  unknown    unknown  Unknown      Point     Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites  unknown        Tony Rees  CSIRO Division of Marine Research-Hobart    mailing address  Hobart  Australia   unknown  unknown  Tony.Rees@csiro.au    You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it.  Please contact distributor.    19980710  20020930  20030930     Cheryl Solomon  Science Systems and Applications, Inc.   Metadata specialist   mailing and physical address  10210 Greenbelt Road, Suite 500  Lanham  Maryland  20706   301 867-2080  301-867-2149.  solomon@gcmd.nasa.gov    FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata  FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values:   [http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml     CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)  1993  Albatross Bay Adult Prawn Data 1986-1992  maps data   Australia  CSIRO Division of Marine Research      Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.  The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.  Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.The previous online linkage was determined to be broken in October 2010 and moved here.  The previous online linkage was:http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML      19860301  19920401    ground condition    Complete  None planned    Australia, Gulf of Carpentaria   141.5  142  -12.5  -13      ISO 19115 Topic Category  none    Parameter_Sensor_Source  BIOMASS|LANDSAT TM|LANDSAT-5    none  adult prawn data  size  sex  reproductive stage  moult stage  parasites  NONE    none  Australlia  Gulf of Carpentaria  Albatross Bay      none  prawns  shrimps  crustaceans       Agencies listed below  2002  Integrated Taxonomic Information System  Database   Washington, D.C.  U.S. Department of Agriculture   Department of Commerce, National Oceanic and Atmospheric Administration (NOAA),  Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH).  http://www.itis.usda.gov/       Kingdom  Animalia  animals   Phylum  Arthropoda  arthropods   Division  Test  arthropods   Subphylum  Crustacea  crustaceans   Class  Malacostraca   Subclass  Eumalacostraca   Superorder  Eucarida   Order  Decapoda  crabs  crayfishes  lobsters  prawns  shrimp           Release with the permission of the custodian.  None     Peter Crocos  CSIRO Division of Marine Research-Cleveland    mailing address  P.O. Box 120  Cleveland  Queensland  4163  Australia   unknown  unknown  peter.crocos@csiro.au      CSIRO Division of Marine Research  Unknown  Albatross Bay Chlorophyll Data 1986-1992  unknown   Australia  CSIRO Division of Marine Research       Stephen Blaber, David Brewer, John Salini, J. Kerr  Unknown  Albatross Bay Fish Data 1986-1988  unknown   Australia  CSIRO Division of Marine Research       Stever Blaber, CSIRO Division of Marine Research  Unknown  Albatross Bay Nearshore Fish Study 1991-1992  unknown   Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Nutrient Data 1992  unknown   Australia  CSIRO Division of Marine Research       Chris Jackson, CSIRO Division of Marine Research  Unknown  Albatross Bay Phytoplankton Data 1986-1992  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Prawn Larval Data  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Primary Productivity  unknown   Queensland, Australia  CSIRO Division of Marine Research       not applicable  Twenty stations were sampled.    Field  unknown    unknown  Unknown      Point     Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites  unknown        Tony Rees  CSIRO Division of Marine Research-Hobart    mailing address  Hobart  Australia   unknown  unknown  Tony.Rees@csiro.au    You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it.  Please contact distributor.    19980710  20020930  20030930     Cheryl Solomon  Science Systems and Applications, Inc.   Metadata specialist   mailing and physical address  10210 Greenbelt Road, Suite 500  Lanham  Maryland  20706   301 867-2080  301-867-2149.  solomon@gcmd.nasa.gov    FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata  FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]

Compared fields for: attribute
Expected values: []
Actual values:   []

Compared fields for: class
Expected values: [Malacostraca]
Actual values:   [Malacostraca]

Compared fields for: order
Expected values: [Decapoda]
Actual values:   [Decapoda]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]

Compared fields for: geohash_7
Expected values: [rjsz3wg]
Actual values:   [rjsz3wg]

Compared fields for: contactOrganization
Expected values: [CSIRO Division of Marine Research-Hobart]
Actual values:   [CSIRO Division of Marine Research-Hobart]

Compared fields for: geohash_6
Expected values: [rjsz3w]
Actual values:   [rjsz3w]

Compared fields for: attributeUnit
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: [rjsz3]
Actual values:   [rjsz3]

Compared fields for: geohash_4
Expected values: [rjsz]
Actual values:   [rjsz]

Compared fields for: geohash_3
Expected values: [rjs]
Actual values:   [rjs]

Compared fields for: geohash_2
Expected values: [rj]
Actual values:   [rj]

Compared fields for: author
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values:   [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]

Compared fields for: geohash_1
Expected values: [r]
Actual values:   [r]

Compared fields for: abstract
Expected values: [Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.]
Actual values:   [Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.]

Compared fields for: kingdom
Expected values: [Animalia]
Actual values:   [Animalia]

Compared fields for: pubDate
Expected values: [1993-01-01T00:00:00.000Z]
Actual values:   [1993-01-01T00:00:00.000Z]

Compared fields for: geohash_9
Expected values: [rjsz3wgjy]
Actual values:   [rjsz3wgjy]

Compared fields for: geohash_8
Expected values: [rjsz3wgj]
Actual values:   [rjsz3wgj]

Compared fields for: beginDate
Expected values: [1986-03-01T00:00:00.000Z]
Actual values:   [1986-03-01T00:00:00.000Z]

Compared fields for: presentationCat
Expected values: [maps data]
Actual values:   [maps data]

Compared fields for: site
Expected values: [Australia, Gulf of Carpentaria]
Actual values:   [Australia, Gulf of Carpentaria]

Compared fields for: phylum
Expected values: [Arthropoda, Test]
Actual values:   [Arthropoda, Test]

Compared fields for: genus
Expected values: []
Actual values:   []

Compared fields for: species
Expected values: []
Actual values:   []

Compared fields for: webUrl
Expected values: []
Actual values:   []

Compared fields for: eastBoundCoord
Expected values: [142.0]
Actual values:   [142.0]

Compared fields for: southBoundCoord
Expected values: [-13.0]
Actual values:   [-13.0]

Compared fields for: attributeLabel
Expected values: []
Actual values:   []

Compared fields for: family
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]

Compared fields for: submitter
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2012-03-22T13:53:02.814Z]
Actual values:   [2012-03-22T13:53:02.814Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: [nasa_d_FEDGPS1294]
Actual values:   [nasa_d_FEDGPS1294]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [c72ff66bbe7fa99e5fb399bab8cb6f85]
Actual values:   [c72ff66bbe7fa99e5fb399bab8cb6f85]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values:   [www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]

Compared fields for: dateModified
Expected values: [2012-03-22T13:53:02.821Z]
Actual values:   [2012-03-22T13:53:02.821Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: [3]
Actual values:   [3]

Compared fields for: obsoletes
Expected values: [nasa_d_FEDGPS1292]
Actual values:   [nasa_d_FEDGPS1292]

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [FGDC-STD-001.1-1999]
Actual values:   [FGDC-STD-001.1-1999]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [14880]
Actual values:   [14880]

Compared fields for: datasource
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]

Compared fields for: keywords
Expected values: [ENVIRONMENT, IMAGERY/BASE MAPS/EARTH COVER, PLANNING CADASTRE, EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS, Easting, GIS, Northing, CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]
Actual values:   [ENVIRONMENT, IMAGERY/BASE MAPS/EARTH COVER, PLANNING CADASTRE, EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS, Easting, GIS, Northing, CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]

Compared fields for: endDate
Expected values: [1993-12-31T00:00:00.000Z]
Actual values:   [1993-12-31T00:00:00.000Z]

Compared fields for: purpose
Expected values: [The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement.]
Actual values:   [The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement.]

Compared fields for: scientificName
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values:   [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]

Compared fields for: gcmdKeyword
Expected values: [EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS]
Actual values:   [EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS]

Compared fields for: origin
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values:   [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]

Compared fields for: edition
Expected values: []
Actual values:   []

Compared fields for: attributeDescription
Expected values: [Degenerate area of point, Degenerate perimeter of point, Internal feature number, User-assigned feature number, Site ID, Number of GPS fixes at location]
Actual values:   [Degenerate area of point, Degenerate perimeter of point, Internal feature number, User-assigned feature number, Site ID, Number of GPS fixes at location]

Compared fields for: title
Expected values: [Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive]
Actual values:   [Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive]

Compared fields for: northBoundCoord
Expected values: [45.0]
Actual values:   [45.0]

Compared fields for: geoform
Expected values: [Maps and Data]
Actual values:   [Maps and Data]

Compared fields for: investigator
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values:   [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]

Compared fields for: placeKey
Expected values: [CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]
Actual values:   [CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]

Compared fields for: westBoundCoord
Expected values: [-68.0]
Actual values:   [-68.0]

Compared fields for: authorSurNameSort
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values:   [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]

Compared fields for: attributeName
Expected values: [AREA, PERIMETER, GPS_1293, GPS_1293-ID, CODE, NUM_MEAS]
Actual values:   [AREA, PERIMETER, GPS_1293, GPS_1293-ID, CODE, NUM_MEAS]

Compared fields for: text
Expected values: [http://www.nbii.gov/metadata/mdata/NASA/nasa_d_FEDGPS1293.xml     Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project  1994  Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive  Maps and Data  http://fedwww.gsfc.nasa.gov/     The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME.  The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement.      19931201  19931231    publication date    Complete  As needed    The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper.   -68.0  -68.0  45  45.0      ISO Topic Category  ENVIRONMENT  IMAGERY/BASE MAPS/EARTH COVER  PLANNING CADASTRE    GCMD Science Keywords  EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT  SATELLITES  GPS > GLOBAL POSITIONING SYSTEM  FED > FOREST ECOSYSTEM DYNAMICS    None  Easting  GIS  Northing    GCMD  CONTINENT > NORTH AMERICA  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE    None  Some coordinates are corrected to a greater positional accuracy than others.     Darrel L. Williams   TECHNICAL CONTACT   Mailing and Physical Address  NASA's Goddard Space Flight Center  Mailstop 614.0  Greenbelt  MD  21227  USA   301.614.6049  Darrel.L.Williams@nasa.gov    UNIX    Nel, E.M. and M.E. Jackson  1993  An Independent Evaluation of the Accuracy of Handheld GPS Receivers  Publication   Unpublished Report  n/a       Levine, E., K.J. Ranson, J.A. Smith, D.L. Williams, R.G. Knox, H.H. Shugart, D.L. Urban, and W.T. Lawrence  Unknown  Forest ecosystem dynamics: linking forest succession, soil process and radiation models  Publication   Ecological Modeling  65: 199-219        Information available at the FED website: http://fedwww.gsfc.nasa.gov/   Point features present.  A Trimble roving receiver placed on the top of the cab of a pick-up truck and leveled was used to collect position information at selected sites (road intersections) across the FED project study area. The field collected data was differentially corrected using base files measured by a Trimble Community Base Station. The Community Base Station is run by the Forestry Department at the University of Maine, Orono (UMO). The base station was surveyed by the Surveying Engineering Department at UMO using classical geodetic methods. Trimble software was used to produce coordinates in Universal Transverse Mercator (UTM) WGS84. Coordinates were adjusted based on field notes. All points were collected during December 1993 and differentially corrected.    GENERATE LIZEGPS_84  199501  1521    BUILD LIZEGPS_84 POINT  199501  1522    COPY LIZEGPS_84 /NET/FOREST/HOME/FED-GIS/GPS_GCP/LIZEGPS_84  199502  1524    LARA RENAME LIZEGPS_84 GPS_1293  199502  1731    LARA DOCUMENT GPS_1293 CREATE LARA  199502  1745    LARA PROJECTDEFINE COVER GPS_1293  199502  1836      Point    Point  27    String    Ring composed of chains         Universal Transverse Mercator   19   0.9996  0  0  0  0      coordinate pair   40  40   meters     World Geodetic System of 1984  6378137  298.25722210088        GPS_1293.PAT  GPS differential correction information  E. Nel    AREA  Degenerate area of point  FED    '0'  number  none      PERIMETER  Degenerate perimeter of point  FED    '0'  number  none      GPS_1293  Internal feature number  Computed    Sequential unique positive integer  number  none      GPS_1293-ID  User-assigned feature number  User-defined    Integer  number  none      CODE  Site ID  E. Nel    Real numbers  number  none      NUM_MEAS  Number of GPS fixes at location  E. Nel    Real numbers  number  none       Num_meas - Number of measurements used for differential correction.If num_meas is 180 or greater, the positional accuracy of the GPS coordinate is sub-meter.If num_meas is less than 180 but greater that 0, the positional accuracy is estimated at 10 meters based on Nels and Jackson, 1993.If num_meas is 0, the positional accuracy is estimated at 12 to 40 meters, based on published median error ranges.  The following measurements are included: Site ID, Number of GPS Fixes at Location, Degenerate Area/Perimeter of Point        Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA  KENNETH JON RANSON   DATA CENTER CONTACT   Mailing and Physical Address  NASA  Goddard Space Flight Center  Mailstop 614.4  Greenbelt  MD  20771  USA   301-614-6650  301-614-6695  Kenneth.J.Ranson@nasa.gov    None     ARC/INFO  No compression applied       http://fedwww.gsfc.nasa.gov/gis_data/gps_1293.e00    FED Data: GPS ground control points and field site locations from 12/93     None     20090322     NASA (National Aeronautics and Space Administration)/GCMD (Goddard Space Flight Center)    Mailing and Physical Address  Goddard Space Flight Center  Code 610.2  Greenbelt  MD  20771  USA   301.614.6163  gsfc-gcmduso@mail.nasa.gov    FGDC Content Standard for Digital Geospatial Metadata  FGDC-STD-001-1998 www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values:   [http://www.nbii.gov/metadata/mdata/NASA/nasa_d_FEDGPS1293.xml     Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project  1994  Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive  Maps and Data  http://fedwww.gsfc.nasa.gov/     The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME.  The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement.      19931201  19931231    publication date    Complete  As needed    The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper.   -68.0  -68.0  45  45.0      ISO Topic Category  ENVIRONMENT  IMAGERY/BASE MAPS/EARTH COVER  PLANNING CADASTRE    GCMD Science Keywords  EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT  SATELLITES  GPS > GLOBAL POSITIONING SYSTEM  FED > FOREST ECOSYSTEM DYNAMICS    None  Easting  GIS  Northing    GCMD  CONTINENT > NORTH AMERICA  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE    None  Some coordinates are corrected to a greater positional accuracy than others.     Darrel L. Williams   TECHNICAL CONTACT   Mailing and Physical Address  NASA's Goddard Space Flight Center  Mailstop 614.0  Greenbelt  MD  21227  USA   301.614.6049  Darrel.L.Williams@nasa.gov    UNIX    Nel, E.M. and M.E. Jackson  1993  An Independent Evaluation of the Accuracy of Handheld GPS Receivers  Publication   Unpublished Report  n/a       Levine, E., K.J. Ranson, J.A. Smith, D.L. Williams, R.G. Knox, H.H. Shugart, D.L. Urban, and W.T. Lawrence  Unknown  Forest ecosystem dynamics: linking forest succession, soil process and radiation models  Publication   Ecological Modeling  65: 199-219        Information available at the FED website: http://fedwww.gsfc.nasa.gov/   Point features present.  A Trimble roving receiver placed on the top of the cab of a pick-up truck and leveled was used to collect position information at selected sites (road intersections) across the FED project study area. The field collected data was differentially corrected using base files measured by a Trimble Community Base Station. The Community Base Station is run by the Forestry Department at the University of Maine, Orono (UMO). The base station was surveyed by the Surveying Engineering Department at UMO using classical geodetic methods. Trimble software was used to produce coordinates in Universal Transverse Mercator (UTM) WGS84. Coordinates were adjusted based on field notes. All points were collected during December 1993 and differentially corrected.    GENERATE LIZEGPS_84  199501  1521    BUILD LIZEGPS_84 POINT  199501  1522    COPY LIZEGPS_84 /NET/FOREST/HOME/FED-GIS/GPS_GCP/LIZEGPS_84  199502  1524    LARA RENAME LIZEGPS_84 GPS_1293  199502  1731    LARA DOCUMENT GPS_1293 CREATE LARA  199502  1745    LARA PROJECTDEFINE COVER GPS_1293  199502  1836      Point    Point  27    String    Ring composed of chains         Universal Transverse Mercator   19   0.9996  0  0  0  0      coordinate pair   40  40   meters     World Geodetic System of 1984  6378137  298.25722210088        GPS_1293.PAT  GPS differential correction information  E. Nel    AREA  Degenerate area of point  FED    '0'  number  none      PERIMETER  Degenerate perimeter of point  FED    '0'  number  none      GPS_1293  Internal feature number  Computed    Sequential unique positive integer  number  none      GPS_1293-ID  User-assigned feature number  User-defined    Integer  number  none      CODE  Site ID  E. Nel    Real numbers  number  none      NUM_MEAS  Number of GPS fixes at location  E. Nel    Real numbers  number  none       Num_meas - Number of measurements used for differential correction.If num_meas is 180 or greater, the positional accuracy of the GPS coordinate is sub-meter.If num_meas is less than 180 but greater that 0, the positional accuracy is estimated at 10 meters based on Nels and Jackson, 1993.If num_meas is 0, the positional accuracy is estimated at 12 to 40 meters, based on published median error ranges.  The following measurements are included: Site ID, Number of GPS Fixes at Location, Degenerate Area/Perimeter of Point        Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA  KENNETH JON RANSON   DATA CENTER CONTACT   Mailing and Physical Address  NASA  Goddard Space Flight Center  Mailstop 614.4  Greenbelt  MD  20771  USA   301-614-6650  301-614-6695  Kenneth.J.Ranson@nasa.gov    None     ARC/INFO  No compression applied       http://fedwww.gsfc.nasa.gov/gis_data/gps_1293.e00    FED Data: GPS ground control points and field site locations from 12/93     None     20090322     NASA (National Aeronautics and Space Administration)/GCMD (Goddard Space Flight Center)    Mailing and Physical Address  Goddard Space Flight Center  Code 610.2  Greenbelt  MD  20771  USA   301.614.6163  gsfc-gcmduso@mail.nasa.gov    FGDC Content Standard for Digital Geospatial Metadata  FGDC-STD-001-1998 www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]

Compared fields for: attribute
Expected values: [AREA  Degenerate area of point '0', PERIMETER  Degenerate perimeter of point '0', GPS_1293  Internal feature number Sequential unique positive integer, GPS_1293-ID  User-assigned feature number Integer, CODE  Site ID Real numbers, NUM_MEAS  Number of GPS fixes at location Real numbers]
Actual values:   [AREA  Degenerate area of point '0', PERIMETER  Degenerate perimeter of point '0', GPS_1293  Internal feature number Sequential unique positive integer, GPS_1293-ID  User-assigned feature number Integer, CODE  Site ID Real numbers, NUM_MEAS  Number of GPS fixes at location Real numbers]

Compared fields for: class
Expected values: []
Actual values:   []

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]

Compared fields for: order
Expected values: []
Actual values:   []

Compared fields for: geohash_7
Expected values: [f2p8h85]
Actual values:   [f2p8h85]

Compared fields for: contactOrganization
Expected values: [Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA]
Actual values:   [Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA]

Compared fields for: attributeUnit
Expected values: ['0', '0', Sequential unique positive integer, Integer, Real numbers, Real numbers]
Actual values:   ['0', '0', Sequential unique positive integer, Integer, Real numbers, Real numbers]

Compared fields for: geohash_6
Expected values: [f2p8h8]
Actual values:   [f2p8h8]

Compared fields for: geohash_5
Expected values: [f2p8h]
Actual values:   [f2p8h]

Compared fields for: geohash_4
Expected values: [f2p8]
Actual values:   [f2p8]

Compared fields for: geohash_3
Expected values: [f2p]
Actual values:   [f2p]

Compared fields for: geohash_2
Expected values: [f2]
Actual values:   [f2]

Compared fields for: author
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values:   [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]

Compared fields for: geohash_1
Expected values: [f]
Actual values:   [f]

Compared fields for: abstract
Expected values: [The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME.]
Actual values:   [The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME.]

Compared fields for: pubDate
Expected values: [1994-01-01T00:00:00.000Z]
Actual values:   [1994-01-01T00:00:00.000Z]

Compared fields for: kingdom
Expected values: []
Actual values:   []

Compared fields for: geohash_9
Expected values: [f2p8h85bj]
Actual values:   [f2p8h85bj]

Compared fields for: geohash_8
Expected values: [f2p8h85b]
Actual values:   [f2p8h85b]

Compared fields for: beginDate
Expected values: [1993-12-01T00:00:00.000Z]
Actual values:   [1993-12-01T00:00:00.000Z]

Compared fields for: presentationCat
Expected values: [Maps and Data]
Actual values:   [Maps and Data]

Compared fields for: site
Expected values: [The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper.]
Actual values:   [The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper.]

Compared fields for: phylum
Expected values: []
Actual values:   []

Compared fields for: genus
Expected values: []
Actual values:   []

Compared fields for: species
Expected values: []
Actual values:   []

Compared fields for: webUrl
Expected values: [http://fedwww.gsfc.nasa.gov/]
Actual values:   [http://fedwww.gsfc.nasa.gov/]

Compared fields for: eastBoundCoord
Expected values: [-68.0]
Actual values:   [-68.0]

Compared fields for: southBoundCoord
Expected values: [45.0]
Actual values:   [45.0]

Compared fields for: attributeLabel
Expected values: []
Actual values:   []

Compared fields for: family
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]
Actual values:   [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]

Compared fields for: submitter
Expected values: [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]
Actual values:   [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2010-02-26T00:00:00.000Z]
Actual values:   [2010-02-26T00:00:00.000Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [19021f947d54c11d1a4bad8725c827d5]
Actual values:   [19021f947d54c11d1a4bad8725c827d5]

Compared fields for: replicationAllowed
Expected values: [false]
Actual values:   [false]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [nikkis.180.1]
Actual values:   [nikkis.180.1]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:SANPARKS]
Actual values:   [urn:node:SANPARKS]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]

Compared fields for: dateModified
Expected values: [2012-06-15T02:50:07.060Z]
Actual values:   [2012-06-15T02:50:07.060Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.esri.com/metadata/esriprof80.dtd]
Actual values:   [http://www.esri.com/metadata/esriprof80.dtd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [12575]
Actual values:   [12575]

Compared fields for: datasource
Expected values: [urn:node:SANPARKS]
Actual values:   [urn:node:SANPARKS]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [Ndlovu SAEON Node, SAEON, South Africa, Kruger to Canoyns, biosphere, k2c, lowveld]
Actual values:   [Ndlovu SAEON Node, SAEON, South Africa, Kruger to Canoyns, biosphere, k2c, lowveld]

Compared fields for: purpose
Expected values: [Delinate boundaries based on agreement with stakeholders and municipalities]
Actual values:   [Delinate boundaries based on agreement with stakeholders and municipalities]

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: scientificName
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Debby Thomson]
Actual values:   [Debby Thomson]

Compared fields for: origin
Expected values: [Debby Thomson]
Actual values:   [Debby Thomson]

Compared fields for: gcmdKeyword
Expected values: []
Actual values:   []

Compared fields for: edition
Expected values: []
Actual values:   []

Compared fields for: attributeDescription
Expected values: [Internal feature number., Feature geometry.]
Actual values:   [Internal feature number., Feature geometry.]

Compared fields for: title
Expected values: [K2C_Biosphere]
Actual values:   [K2C_Biosphere]

Compared fields for: northBoundCoord
Expected values: [-23.726981]
Actual values:   [-23.726981]

Compared fields for: geoform
Expected values: [vector digital data]
Actual values:   [vector digital data]

Compared fields for: investigator
Expected values: [Debby Thomson]
Actual values:   [Debby Thomson]

Compared fields for: placeKey
Expected values: [k2c, lowveld]
Actual values:   [k2c, lowveld]

Compared fields for: westBoundCoord
Expected values: [29.92057]
Actual values:   [29.92057]

Compared fields for: authorSurNameSort
Expected values: [Debby Thomson]
Actual values:   [Debby Thomson]

Compared fields for: attributeName
Expected values: [FID, Shape, Id]
Actual values:   [FID, Shape, Id]

Compared fields for: text
Expected values: [20100106  11110600  FALSE  20100226  11173900  20100226  11173900  {57F8DBAE-74A0-4AF4-BD76-9D78053A6627}    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770   en  Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region.  Delinate boundaries based on agreement with stakeholders and municipalities     Debby Thomson  March 2008  K2C_Biosphere  K2C_Biosphere  vector digital data  \\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp  2     publication date    March 2008      Complete  Irregular     29.920570  32.041175  -23.726981  -25.064201    29.920570  32.041175  -25.064201  -23.726981      REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.  Ndlovu SAEON Node  SAEON, South Africa  Kruger to Canoyns  biosphere    k2c  lowveld    Freely accessible  REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.  Shapefile     Debby Thompson  Kruger to Canyons Biosphere region   Project manager  info@bushveldconnections.co.za    Initial map preparation: Prof Willem van der Riet and Craig Beech (GIS Business Soultions August 2000. Final map presentation: Debby Thompson, Hoedspruit Jan 2001Update of map: Debby Thompson, Hoedspruit,  March 2008    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770      K2C_Biosphere            29.92057  32.041175  -23.726981  -25.064201  1      29.92057  32.041175  -23.726981  -25.064201  1        Nikki Stevens              nikkis.180.1      DBF  K2C_Biosphere.dbf       nikkis.182.1          SBX  K2C_Biosphere.sbx       nikkis.183.1         PRJ  K2C_Biosphere.prj       nikkis.184.1         SHP  K2C_Biosphere.shp       nikkis.181.1        K2C_Biosphere.shp.xml    en  FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time     REQUIRED: The person responsible for the metadata information.  REQUIRED: The organization responsible for the metadata information.    REQUIRED: The mailing and/or physical address for the organization or individual.  REQUIRED: The city of the address.  REQUIRED: The state or province of the address.  REQUIRED: The ZIP or other postal code of the address.   REQUIRED: The telephone number by which individuals can speak to the organization or individual.    20100226   http://www.esri.com/metadata/esriprof80.html  ESRI Metadata Profile       ISO 19115 Geographic Information - Metadata  DIS_ESRI1.0        dataset   Downloadable Data     0.003  0.003          002  file://\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp  Local Area Network   0.003    Shapefile      Vector    Simple  Polygon  FALSE  1  TRUE  FALSE    G-polygon  1        GCS_WGS_1984    Decimal degrees  0.000000  0.000000    D_WGS_1984  WGS_1984  6378137.000000  298.257224        GCS_WGS_1984              1        K2C_Biosphere  Feature Class  1    FID  FID  OID  4  0  0  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Shape  Geometry  0  0  0  Feature geometry.  ESRI   Coordinates defining the features.     Id  Id  Number  6     20100226    Shape file was based rtaced from a georeferenced map. Inaccuracies will occur   20m      Dataset copied.  F:\k2c\K2C_Biosphere  20100106  11110600 nikkis.180.1]
Actual values:   [20100106  11110600  FALSE  20100226  11173900  20100226  11173900  {57F8DBAE-74A0-4AF4-BD76-9D78053A6627}    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770   en  Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region.  Delinate boundaries based on agreement with stakeholders and municipalities     Debby Thomson  March 2008  K2C_Biosphere  K2C_Biosphere  vector digital data  \\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp  2     publication date    March 2008      Complete  Irregular     29.920570  32.041175  -23.726981  -25.064201    29.920570  32.041175  -25.064201  -23.726981      REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.  Ndlovu SAEON Node  SAEON, South Africa  Kruger to Canoyns  biosphere    k2c  lowveld    Freely accessible  REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.  Shapefile     Debby Thompson  Kruger to Canyons Biosphere region   Project manager  info@bushveldconnections.co.za    Initial map preparation: Prof Willem van der Riet and Craig Beech (GIS Business Soultions August 2000. Final map presentation: Debby Thompson, Hoedspruit Jan 2001Update of map: Debby Thompson, Hoedspruit,  March 2008    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770      K2C_Biosphere            29.92057  32.041175  -23.726981  -25.064201  1      29.92057  32.041175  -23.726981  -25.064201  1        Nikki Stevens              nikkis.180.1      DBF  K2C_Biosphere.dbf       nikkis.182.1          SBX  K2C_Biosphere.sbx       nikkis.183.1         PRJ  K2C_Biosphere.prj       nikkis.184.1         SHP  K2C_Biosphere.shp       nikkis.181.1        K2C_Biosphere.shp.xml    en  FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time     REQUIRED: The person responsible for the metadata information.  REQUIRED: The organization responsible for the metadata information.    REQUIRED: The mailing and/or physical address for the organization or individual.  REQUIRED: The city of the address.  REQUIRED: The state or province of the address.  REQUIRED: The ZIP or other postal code of the address.   REQUIRED: The telephone number by which individuals can speak to the organization or individual.    20100226   http://www.esri.com/metadata/esriprof80.html  ESRI Metadata Profile       ISO 19115 Geographic Information - Metadata  DIS_ESRI1.0        dataset   Downloadable Data     0.003  0.003          002  file://\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp  Local Area Network   0.003    Shapefile      Vector    Simple  Polygon  FALSE  1  TRUE  FALSE    G-polygon  1        GCS_WGS_1984    Decimal degrees  0.000000  0.000000    D_WGS_1984  WGS_1984  6378137.000000  298.257224        GCS_WGS_1984              1        K2C_Biosphere  Feature Class  1    FID  FID  OID  4  0  0  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Shape  Geometry  0  0  0  Feature geometry.  ESRI   Coordinates defining the features.     Id  Id  Number  6     20100226    Shape file was based rtaced from a georeferenced map. Inaccuracies will occur   20m      Dataset copied.  F:\k2c\K2C_Biosphere  20100106  11110600 nikkis.180.1]

Compared fields for: attribute
Expected values: [FID FID Internal feature number., Shape Shape Feature geometry., Id Id]
Actual values:   [FID FID Internal feature number., Shape Shape Feature geometry., Id Id]

Compared fields for: class
Expected values: []
Actual values:   []

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]

Compared fields for: order
Expected values: []
Actual values:   []

Compared fields for: geohash_7
Expected values: [kewj0yz]
Actual values:   [kewj0yz]

Compared fields for: geohash_6
Expected values: [kewj0y]
Actual values:   [kewj0y]

Compared fields for: contactOrganization
Expected values: []
Actual values:   []

Compared fields for: attributeUnit
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: [kewj0]
Actual values:   [kewj0]

Compared fields for: geohash_4
Expected values: [kewj]
Actual values:   [kewj]

Compared fields for: geohash_3
Expected values: [kew]
Actual values:   [kew]

Compared fields for: geohash_2
Expected values: [ke]
Actual values:   [ke]

Compared fields for: author
Expected values: [Debby Thomson]
Actual values:   [Debby Thomson]

Compared fields for: geohash_1
Expected values: [k]
Actual values:   [k]

Compared fields for: abstract
Expected values: [Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region.]
Actual values:   [Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region.]

Compared fields for: pubDate
Expected values: [2008-03-01T00:00:00.000Z]
Actual values:   [2008-03-01T00:00:00.000Z]

Compared fields for: kingdom
Expected values: []
Actual values:   []

Compared fields for: geohash_9
Expected values: [kewj0yzt6]
Actual values:   [kewj0yzt6]

Compared fields for: geohash_8
Expected values: [kewj0yzt]
Actual values:   [kewj0yzt]

Compared fields for: presentationCat
Expected values: [vector digital data]
Actual values:   [vector digital data]

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: site
Expected values: []
Actual values:   []

Compared fields for: phylum
Expected values: []
Actual values:   []

Compared fields for: genus
Expected values: []
Actual values:   []

Compared fields for: species
Expected values: []
Actual values:   []

Compared fields for: webUrl
Expected values: [\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp]
Actual values:   [\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp]

Compared fields for: eastBoundCoord
Expected values: [32.041175]
Actual values:   [32.041175]

Compared fields for: southBoundCoord
Expected values: [-25.064201]
Actual values:   [-25.064201]

Compared fields for: attributeLabel
Expected values: [FID, Shape, Id]
Actual values:   [FID, Shape, Id]

Compared fields for: family
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [CN=mnEDORA,DC=dataone,DC=org]
Actual values:   [CN=mnEDORA,DC=dataone,DC=org]

Compared fields for: submitter
Expected values: [CN=mnEDORA,DC=dataone,DC=org]
Actual values:   [CN=mnEDORA,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2014-06-11T09:33:32.000Z]
Actual values:   [2014-06-11T09:33:32.000Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [8151041c5f77f89b05004272ed94d463]
Actual values:   [8151041c5f77f89b05004272ed94d463]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [Map_ORR_Aspect_2m_1993.xml]
Actual values:   [Map_ORR_Aspect_2m_1993.xml]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnEDORA]
Actual values:   [urn:node:mnEDORA]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]

Compared fields for: dateModified
Expected values: [2014-06-11T09:33:32.000Z]
Actual values:   [2014-06-11T09:33:32.000Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://purl.org/ornl/schema/mercury/terms/v1.0]
Actual values:   [http://purl.org/ornl/schema/mercury/terms/v1.0]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [7424]
Actual values:   [7424]

Compared fields for: datasource
Expected values: [urn:node:mnEDORA]
Actual values:   [urn:node:mnEDORA]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [TERRAIN ELEVATION|CAMERA|HELICOPTER, TERRAIN ELEVATION, HELICOPTER, CAMERA, Oak Ridge Reservation, TN, USA]
Actual values:   [TERRAIN ELEVATION|CAMERA|HELICOPTER, TERRAIN ELEVATION, HELICOPTER, CAMERA, Oak Ridge Reservation, TN, USA]

Compared fields for: endDate
Expected values: [1993-04-01T00:00:00.000Z]
Actual values:   [1993-04-01T00:00:00.000Z]

Compared fields for: purpose
Expected values: []
Actual values:   []

Compared fields for: scientificName
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Henley, Marsha]
Actual values:   [Henley, Marsha]

Compared fields for: origin
Expected values: [Henley, Marsha, Harris, Melinda H.]
Actual values:   [Henley, Marsha, Harris, Melinda H.]

Compared fields for: gcmdKeyword
Expected values: []
Actual values:   []

Compared fields for: edition
Expected values: []
Actual values:   []

Compared fields for: attributeDescription
Expected values: []
Actual values:   []

Compared fields for: title
Expected values: [Map ORR Aspect 2m 1993]
Actual values:   [Map ORR Aspect 2m 1993]

Compared fields for: northBoundCoord
Expected values: [36.0]
Actual values:   [36.0]

Compared fields for: investigator
Expected values: [Henley, Marsha, Harris, Melinda H.]
Actual values:   [Henley, Marsha, Harris, Melinda H.]

Compared fields for: geoform
Expected values: []
Actual values:   []

Compared fields for: placeKey
Expected values: [Oak Ridge Reservation, TN, USA]
Actual values:   [Oak Ridge Reservation, TN, USA]

Compared fields for: westBoundCoord
Expected values: [-84.19]
Actual values:   [-84.19]

Compared fields for: authorSurNameSort
Expected values: [Henley, Marsha]
Actual values:   [Henley, Marsha]

Compared fields for: attributeName
Expected values: []
Actual values:   []

Compared fields for: text
Expected values: [Henley, Marsha  Harris, Melinda H.  Map ORR Aspect 2m 1993  http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xml  ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html      This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors.  The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems).  She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993.  The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400.  The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error.  The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program.       19930401  19930401      Final  As appropriate     -84.19  84.44  36  -35.87      Parameter_Sensor_Source  TERRAIN ELEVATION|CAMERA|HELICOPTER  Parameter  TERRAIN ELEVATION  Source  HELICOPTER  Sensor  CAMERA    Place Keywords  Oak Ridge Reservation, TN, USA       Henley, Marsha   6.1.10.8 Contact Electronic Mail: INTERNET &gt; mhenley@qsystems.net         Environmental Sciences Division, Oak Ridge National Laboratory  Gibbs, Holly K.   (865) 574-7356  6.1.10.8 Contact Electronic Mail: INTERNET &gt; mhenley@qsystems.net  gibbshk@ornl.gov        ftp://ftp.esd.ornl.gov/pub/orr/  Public         20020413 162015     Gibbs, Holly K.    Gibbs, Holly K.   (865) 574-7356  gibbshk@ornl.gov    FGDC Content Standard for Digital Geospatial Metadata    19930401  19930401   Oak Ridge Reservation, TN, USA  -84.19  84.44  36  -35.87   Aspect  Elevation  Oak Ridge Reservation  GIS  Raster  Digital Elevation Model  Topography   TERRAIN ELEVATION  CAMERA  HELICOPTER  TOPOGRAPHY  LAND SURFACE   The Oak Ridge Reservation Bioenergy and Carbon Sequestration Initiative; managed by Robin L. Graham  HELICOPTER|CAMERA|TERRAIN ELEVATION   Henley, Marsha  mhenley@qsystems.net    Harris, Melinda H.  Harrism@qsystems.net    ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/  Download Aspect data set     ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html  Browse image and metadata        Version 2.4.04a, Revision Date: 19 Mar 2002  metadata20.dtd   gibbshk@ornl.gov  Gibbs, Holly K.  (865) 574-7356   N/A   20140610  Created 20020413 161719 by 160.91.16.106  Raster  12119.4381   ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html  Browse image and metadata Map_ORR_Aspect_2m_1993.xml]
Actual values:   [Henley, Marsha  Harris, Melinda H.  Map ORR Aspect 2m 1993  http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xml  ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html      This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors.  The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems).  She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993.  The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400.  The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error.  The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program.       19930401  19930401      Final  As appropriate     -84.19  84.44  36  -35.87      Parameter_Sensor_Source  TERRAIN ELEVATION|CAMERA|HELICOPTER  Parameter  TERRAIN ELEVATION  Source  HELICOPTER  Sensor  CAMERA    Place Keywords  Oak Ridge Reservation, TN, USA       Henley, Marsha   6.1.10.8 Contact Electronic Mail: INTERNET &gt; mhenley@qsystems.net         Environmental Sciences Division, Oak Ridge National Laboratory  Gibbs, Holly K.   (865) 574-7356  6.1.10.8 Contact Electronic Mail: INTERNET &gt; mhenley@qsystems.net  gibbshk@ornl.gov        ftp://ftp.esd.ornl.gov/pub/orr/  Public         20020413 162015     Gibbs, Holly K.    Gibbs, Holly K.   (865) 574-7356  gibbshk@ornl.gov    FGDC Content Standard for Digital Geospatial Metadata    19930401  19930401   Oak Ridge Reservation, TN, USA  -84.19  84.44  36  -35.87   Aspect  Elevation  Oak Ridge Reservation  GIS  Raster  Digital Elevation Model  Topography   TERRAIN ELEVATION  CAMERA  HELICOPTER  TOPOGRAPHY  LAND SURFACE   The Oak Ridge Reservation Bioenergy and Carbon Sequestration Initiative; managed by Robin L. Graham  HELICOPTER|CAMERA|TERRAIN ELEVATION   Henley, Marsha  mhenley@qsystems.net    Harris, Melinda H.  Harrism@qsystems.net    ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/  Download Aspect data set     ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html  Browse image and metadata        Version 2.4.04a, Revision Date: 19 Mar 2002  metadata20.dtd   gibbshk@ornl.gov  Gibbs, Holly K.  (865) 574-7356   N/A   20140610  Created 20020413 161719 by 160.91.16.106  Raster  12119.4381   ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html  Browse image and metadata Map_ORR_Aspect_2m_1993.xml]

Compared fields for: attribute
Expected values: []
Actual values:   []

Compared fields for: class
Expected values: []
Actual values:   []

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]

Compared fields for: order
Expected values: []
Actual values:   []

Compared fields for: geohash_7
Expected values: [s0006gg]
Actual values:   [s0006gg]

Compared fields for: contactOrganization
Expected values: [Environmental Sciences Division, Oak Ridge National Laboratory]
Actual values:   [Environmental Sciences Division, Oak Ridge National Laboratory]

Compared fields for: geohash_6
Expected values: [s0006g]
Actual values:   [s0006g]

Compared fields for: attributeUnit
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: [s0006]
Actual values:   [s0006]

Compared fields for: geohash_4
Expected values: [s000]
Actual values:   [s000]

Compared fields for: geohash_3
Expected values: [s00]
Actual values:   [s00]

Compared fields for: geohash_2
Expected values: [s0]
Actual values:   [s0]

Compared fields for: author
Expected values: [Henley, Marsha]
Actual values:   [Henley, Marsha]

Compared fields for: geohash_1
Expected values: [s]
Actual values:   [s]

Compared fields for: abstract
Expected values: [This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors.  The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems).  She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993.  The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400.  The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error.  The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program.]
Actual values:   [This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors.  The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems).  She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993.  The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400.  The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error.  The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program.]

Compared fields for: kingdom
Expected values: []
Actual values:   []

Compared fields for: pubDate
Expected values: []
Actual values:   []

Compared fields for: geohash_9
Expected values: [s0006gg48]
Actual values:   [s0006gg48]

Compared fields for: geohash_8
Expected values: [s0006gg4]
Actual values:   [s0006gg4]

Compared fields for: beginDate
Expected values: [1993-04-01T00:00:00.000Z]
Actual values:   [1993-04-01T00:00:00.000Z]

Compared fields for: presentationCat
Expected values: []
Actual values:   []

Compared fields for: site
Expected values: []
Actual values:   []

Compared fields for: phylum
Expected values: []
Actual values:   []

Compared fields for: genus
Expected values: []
Actual values:   []

Compared fields for: species
Expected values: []
Actual values:   []

Compared fields for: webUrl
Expected values: [http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xml, ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html]
Actual values:   [http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xml, ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html]

Compared fields for: eastBoundCoord
Expected values: [84.44]
Actual values:   [84.44]

Compared fields for: southBoundCoord
Expected values: [-35.87]
Actual values:   [-35.87]

Compared fields for: attributeLabel
Expected values: []
Actual values:   []

Compared fields for: family
Expected values: []
Actual values:   []

Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.618 sec - in org.dataone.cn.index.SolrFieldXPathFgdcTest
Running org.dataone.cn.index.SolrFieldDublinCoreTest
Compared fields for: rightsHolder
Expected values: [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]

Compared fields for: submitter
Expected values: [CN=urn:node:mnTestMPC,DC=dataone,DC=org]
Actual values:   [CN=urn:node:mnTestMPC,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2014-08-28T20:55:19.003Z]
Actual values:   [2014-08-28T20:55:19.003Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [e5975f877816caea2f2be2e2f6b7ddc6]
Actual values:   [e5975f877816caea2f2be2e2f6b7ddc6]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [ipumsi_6-3_br_2000_dc.xml]
Actual values:   [ipumsi_6-3_br_2000_dc.xml]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnTestMPC]
Actual values:   [urn:node:mnTestMPC]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]

Compared fields for: dateModified
Expected values: [2014-08-28T20:55:19.034Z]
Actual values:   [2014-08-28T20:55:19.034Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://ns.dataone.org/metadata/schema/onedcx/v1.0]
Actual values:   [http://ns.dataone.org/metadata/schema/onedcx/v1.0]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [14949]
Actual values:   [14949]

Compared fields for: datasource
Expected values: [urn:node:mnTestMPC]
Actual values:   [urn:node:mnTestMPC]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [Census, Technical Variables -- HOUSEHOLD, Group Quarters Variables -- HOUSEHOLD, Geography Variables -- HOUSEHOLD, Economic Variables -- HOUSEHOLD, Utilities Variables -- HOUSEHOLD, Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD, Dwelling Characteristics Variables -- HOUSEHOLD, Constructed Household Variables -- HOUSEHOLD, Imputation Flags Variables -- HOUSEHOLD, Technical Variables -- PERSON, Constructed Family Interrelationship Variables -- PERSON, Demographic Variables -- PERSON, Fertility and Mortality Variables -- PERSON, Nativity and Birthplace Variables -- PERSON, Ethnicity and Language Variables -- PERSON, Education Variables -- PERSON, Work Variables -- PERSON, Income Variables -- PERSON, Migration Variables -- PERSON, Disability Variables -- PERSON, Other Variables -- PERSON, Imputation Flags Variables -- PERSON, Work: Occupation Variables -- PERSON, Work: Industry Variables -- PERSON]
Actual values:   [Census, Technical Variables -- HOUSEHOLD, Group Quarters Variables -- HOUSEHOLD, Geography Variables -- HOUSEHOLD, Economic Variables -- HOUSEHOLD, Utilities Variables -- HOUSEHOLD, Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD, Dwelling Characteristics Variables -- HOUSEHOLD, Constructed Household Variables -- HOUSEHOLD, Imputation Flags Variables -- HOUSEHOLD, Technical Variables -- PERSON, Constructed Family Interrelationship Variables -- PERSON, Demographic Variables -- PERSON, Fertility and Mortality Variables -- PERSON, Nativity and Birthplace Variables -- PERSON, Ethnicity and Language Variables -- PERSON, Education Variables -- PERSON, Work Variables -- PERSON, Income Variables -- PERSON, Migration Variables -- PERSON, Disability Variables -- PERSON, Other Variables -- PERSON, Imputation Flags Variables -- PERSON, Work: Occupation Variables -- PERSON, Work: Industry Variables -- PERSON]

Compared fields for: endDate
Expected values: [1999-09-25T06:40:00.000Z]
Actual values:   [1999-09-25T06:40:00.000Z]

Compared fields for: authorSurName
Expected values: [Minnesota Population Center]
Actual values:   [Minnesota Population Center]

Compared fields for: origin
Expected values: [Minnesota Population Center]
Actual values:   [Minnesota Population Center]

Compared fields for: title
Expected values: [IPUMS-International: Brazil 2000 Census]
Actual values:   [IPUMS-International: Brazil 2000 Census]

Compared fields for: northBoundCoord
Expected values: [5.273055]
Actual values:   [5.273055]

Compared fields for: investigator
Expected values: [Minnesota Population Center]
Actual values:   [Minnesota Population Center]

Compared fields for: westBoundCoord
Expected values: [-74.004097]
Actual values:   [-74.004097]

Compared fields for: authorSurNameSort
Expected values: [Minnesota Population Center]
Actual values:   [Minnesota Population Center]

Compared fields for: text
Expected values: [package  Minnesota Population Center  IPUMS-International: Brazil 2000 Census  ipumsi_6.3_br_2000_DC.xml  Census  Technical Variables -- HOUSEHOLD  Group Quarters Variables -- HOUSEHOLD  Geography Variables -- HOUSEHOLD  Economic Variables -- HOUSEHOLD  Utilities Variables -- HOUSEHOLD  Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD  Dwelling Characteristics Variables -- HOUSEHOLD  Constructed Household Variables -- HOUSEHOLD  Imputation Flags Variables -- HOUSEHOLD  Technical Variables -- PERSON  Constructed Family Interrelationship Variables -- PERSON  Demographic Variables -- PERSON  Fertility and Mortality Variables -- PERSON  Nativity and Birthplace Variables -- PERSON  Ethnicity and Language Variables -- PERSON  Education Variables -- PERSON  Work Variables -- PERSON  Income Variables -- PERSON  Migration Variables -- PERSON  Disability Variables -- PERSON  Other Variables -- PERSON  Imputation Flags Variables -- PERSON  Work: Occupation Variables -- PERSON  Work: Industry Variables -- PERSON    2014-09-15  2014-07-01  IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.  Record type; Country; Year; IPUMS sample identifier; Household serial number; Number of person records in the household; Household weight; Subsample number; Group quarters status; Number of unrelated persons; Urban-rural status; Continent and region of country; 1st subnational geographic level, world [consistent boundaries over time]; State, Brazil [Level 1; consistent boundaries over time]; State, Brazil [Level 1; inconsistent boundaries, harmonized by name]; Municipality, Brazil [Level 2; inconsistent boundaries, harmonized by name]; Region, Brazil; Mesoregion, Brazil; Municipality, Brazil -- compatible 1980-2000; Metropolitan region, Brazil; Ownership of dwelling [general version]; Ownership of dwelling [detailed version]; Land ownership; Electricity; Water supply; Sewage; Telephone availability; Trash disposal; Automobiles available; Air conditioning; Computer; Clothes washing machine; Refrigerator; Television set; Videocassette recorder; Radio in household; Number of rooms; Number of bedrooms; Number of bathrooms; Bathing facilities; Household classification; Number of families in household; Number of married couples in household; Number of mothers in household; Number of fathers in household; Head's location in household; State; Geographic region; Metropolitan region; Urban-rural status, detailed; Urban-rural status; Sector type; Number of males; Number of females; Dwelling type 1; Flag for dwelling type; Dwelling type 2; Flag for dwelling type 2; Number of rooms; Flag for number of rooms; Number of rooms serving as bedrooms; Flag for number of rooms serving as bedrooms; Ownership of dwelling; Flag for ownership of dwelling; Ownership of land; Flag for ownership of land; Water source; Flag for water supply; Piped water; Flag for piped water; Number of bathrooms; Flag for number of bathrooms; Toilet; Flag for toilet; Waste water; Flag for waste water; Destination of trash; Flag for destination of trash; Electricity; Flag for electricity; Radio; Flag for radio; Refrigerator or freezer; Flag for refrigerator or freezer; VCR (videocassette recorder); Flag for VCR; Clothes washing machine; Flag for clothes washing machine; Microwave oven; Flag for microwave oven; Telephone line installed; Flag for telephone line installed; Computer; Flag for computer; Number of televisions; Flag for number of televisions; Number of automobiles for private use; Flag for number of automobiles for private use; Number of air conditioning units; Flag for number of air conditioning units; Total number of people in the dwelling; Density of residents per room; Density of residents per bedroom; Number of people in family 1; Number of people in family 2; Number of people in family 3; Number of people in family 4; Number of people in family 5; Number of people in family 6; Number of people in family 7; Number of people in family 8; Number of people in family 9; Total income in the private dwelling; Total income in the private dwelling, in minimum salaries; Household weight; Record type [person version]; Country [person version]; Year [person version]; IPUMS sample identifier [person version]; Household serial number [person version]; Person number; Person weight; Mother's location in household; Father's location in household; Spouse's location in household; Rule for linking parent; Rule for linking spouse; Probable stepmother; Probable stepfather; Man with more than one wife linked; Woman is second or higher order wife; Family unit membership; Number of own family members in household; Number of own children in household; Number of own children under age 5 in household; Age of eldest own child in household; Age of youngest own child in household; Relationship to household head [general version]; Relationship to household head [detailed version]; Age; Age, grouped into intervals; Sex; Marital status [general version]; Marital status [detailed version]; Consensual union; Relationship to head of subfamily; Subfamily membership number; Children ever born; Children surviving; Nativity status; Country of birth; State of birth, Brazil; Religion [general version]; Religion [detailed version]; Race or color; Member of an indigenous group; School attendance; Literacy; Educational attainment, international recode [general version]; Educational attainment, international recode [detailed version]; Years of schooling; Educational attainment, Brazil; Employment status [general version]; Employment status [detailed version]; Occupation, ISCO general; Occupation, unrecoded; Industry, general recode; Industry, unrecoded; Class of worker [general version]; Class of worker [detailed version]; Hours worked per week; Hours worked per week, categorized; Hours worked in main occupation; Hours worked outside of main occupation; Total income; Earned income; Migration status, 5 years; Migration status, previous residence; Country of previous residence; Country of residence 5 years ago; Years residing in current locality; State of previous residence, Brazil; State of residence 5 years ago, Brazil; Years residing in current state, Brazil; Disability status; Blind or vision-impaired; Deaf or hearing-impaired; Disability affecting lower extremities; Mental disability; Person number; Metropolitan region; Respondent provided own information; Sex; Flag for sex; Relationship to head of household; Flag for relationship to head of household; Relationship to head of family; Flag for relationship to head of family; Family number; Flag for family number; Age; Flag for age; Age in months; Flag for age in months; Flag for age; Color or race; Flag for color or race; Religion, 2 digits; Religion, 3 digits; Flag for religion; Permanent mental problem; Flag for permanent mental problem; Ability to see; Flag for ability to see; Ability to hear; Flag for ability to hear; Ability to walk/climb stairs; Flag for ability to walk/climb stairs; Paralysis or loss of limb; Flag for paralysis or loss of limb; Always lived in this municipality; Flag for always lived in this municipality; Duration of residence in this municipality; Flag for duration of residence in this municipality; Was born in this municipality; Flag for born in this municipality; Born in this state; Flag for born in this state; Nationality; Flag for nationality; Year in which began residing in Brazil; Flag for year in which began residing in Brazil; State or country of birth; Flag for state or country of birth; Duration of residence in the state; Flag for duration of residence in the state; State or country of previous residence; Flag for state or country of previous residence; Residence on 31 July 1995; Flag for residence on 31 July 1995; Flagfor municipality of residence; State or country of residence on 31 July 1995; Flag for state or country of residence on 31 July 1995; Flag for municipality or state where work or study; Know how to read and write; Flag for know how to read and write; Attend school or daycare; Flag for attend school or daycare; Course being taken; Flag for course being taken; School year now attending; Flag for school year now attending; Highest course attended, having concluded at least one year; Flag for highest course attended; Last year of school passed; Flag for last year of school passed; Concluded course studied; Flag for concluded course studied; Flag for highest course concluded; Years of education; Live with spouse or partner; Flag for live with spouse or partner; Type of last union; Flag for type of last union; Marital status; Flag for marital status; Had remunerated work last week; Flag for had remunerated work last week; Had work but was off last week; Flag for had work but was off last week; Unpaid non-farm household or apprentice work last week; Flag for unpaid non-farm household or apprentice work last week; Unpaid farm labor last week; Flag for unpaid farm labor last week; Grew crops to feed household last week; Flag for grew crops to feed household last week; Number of jobs last week; Flag for number of jobs last week; Occupation, 1 digit; Occupation, 2 digits; Occupation, 3 digits; Occupation, 4 digits; Flag for occupation; Industry, 2 digits; Industry, 5 digits; Flag for industry; Class of worker; Flag for class of worker; Government employee or military personnel; Flag for government employee or military personnel; How many employees worked in this company; Flag for how many employees worked in this company; Contributor to the official social security; Flag for contributor to the official social security; Income in principal job; Flag for income in principal job; Gross monthly income in principal job; Flag for gross income in principal job; Total monthly income in principal job; Total income in principal job, in minimum salaries; Income in additional jobs; Flag for income in additional jobs; Gross monthly income in additional jobs; Flag for gross income in additional jobs; Total monthly income in additional jobs; Total monthly income in additional jobs, in minimum salaries; Total monthly income in all jobs; Total income in all jobs, in minimum salaries; Hours worked per week in principal job; Flag for hours worked per week in principal job; Hours worked in additional jobs; Flag for hours worked in additional jobs; Total hours worked; Efforts to find work; Flag for efforts to find work; Retired with government social security in July 2000; Flag for retired with government social security in July 2000; Earnings from retirement/pension; Flag for earnings from retirement/pension; Income from rents; Flag for income from rents; Earnings from alimony, allowance, donation; Flag for earnings from alimony, allowance, donation; Income from Federal minimum income program, school allowance, and unemployment insurance; Flag for income from federal minimum income program, school allowance, and unemployment insurance; Other income; Flag for other income; Total income; Total income, in minimum salaries; Total number of children born alive; Flag for total number of children born alive; Total number of children still alive; Age of last born child alive; Flag for age of last born child alive; Total number of children born dead; Flag for total number of children born dead; Total number of children the woman ever had; Flag for total number of children the woman ever had; Person weight;  Brazil  northlimit=5.273055; eastlimit=-34.792631; southlimit=-33.740641; westlimit=-74.004097; name=Brazil;  start=1999-09-25T14:20+10:00; end=1999-09-25T16:40+10:00; scheme=W3C-DTF;  http://international.ipums.org  ipumsi_6.3_br_2000_ddic.xml  ipumsi_6.3_br_2000_ddic_xml.html  IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. (see http://international.ipums.org) ipumsi_6-3_br_2000_dc.xml]
Actual values:   [package  Minnesota Population Center  IPUMS-International: Brazil 2000 Census  ipumsi_6.3_br_2000_DC.xml  Census  Technical Variables -- HOUSEHOLD  Group Quarters Variables -- HOUSEHOLD  Geography Variables -- HOUSEHOLD  Economic Variables -- HOUSEHOLD  Utilities Variables -- HOUSEHOLD  Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD  Dwelling Characteristics Variables -- HOUSEHOLD  Constructed Household Variables -- HOUSEHOLD  Imputation Flags Variables -- HOUSEHOLD  Technical Variables -- PERSON  Constructed Family Interrelationship Variables -- PERSON  Demographic Variables -- PERSON  Fertility and Mortality Variables -- PERSON  Nativity and Birthplace Variables -- PERSON  Ethnicity and Language Variables -- PERSON  Education Variables -- PERSON  Work Variables -- PERSON  Income Variables -- PERSON  Migration Variables -- PERSON  Disability Variables -- PERSON  Other Variables -- PERSON  Imputation Flags Variables -- PERSON  Work: Occupation Variables -- PERSON  Work: Industry Variables -- PERSON    2014-09-15  2014-07-01  IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.  Record type; Country; Year; IPUMS sample identifier; Household serial number; Number of person records in the household; Household weight; Subsample number; Group quarters status; Number of unrelated persons; Urban-rural status; Continent and region of country; 1st subnational geographic level, world [consistent boundaries over time]; State, Brazil [Level 1; consistent boundaries over time]; State, Brazil [Level 1; inconsistent boundaries, harmonized by name]; Municipality, Brazil [Level 2; inconsistent boundaries, harmonized by name]; Region, Brazil; Mesoregion, Brazil; Municipality, Brazil -- compatible 1980-2000; Metropolitan region, Brazil; Ownership of dwelling [general version]; Ownership of dwelling [detailed version]; Land ownership; Electricity; Water supply; Sewage; Telephone availability; Trash disposal; Automobiles available; Air conditioning; Computer; Clothes washing machine; Refrigerator; Television set; Videocassette recorder; Radio in household; Number of rooms; Number of bedrooms; Number of bathrooms; Bathing facilities; Household classification; Number of families in household; Number of married couples in household; Number of mothers in household; Number of fathers in household; Head's location in household; State; Geographic region; Metropolitan region; Urban-rural status, detailed; Urban-rural status; Sector type; Number of males; Number of females; Dwelling type 1; Flag for dwelling type; Dwelling type 2; Flag for dwelling type 2; Number of rooms; Flag for number of rooms; Number of rooms serving as bedrooms; Flag for number of rooms serving as bedrooms; Ownership of dwelling; Flag for ownership of dwelling; Ownership of land; Flag for ownership of land; Water source; Flag for water supply; Piped water; Flag for piped water; Number of bathrooms; Flag for number of bathrooms; Toilet; Flag for toilet; Waste water; Flag for waste water; Destination of trash; Flag for destination of trash; Electricity; Flag for electricity; Radio; Flag for radio; Refrigerator or freezer; Flag for refrigerator or freezer; VCR (videocassette recorder); Flag for VCR; Clothes washing machine; Flag for clothes washing machine; Microwave oven; Flag for microwave oven; Telephone line installed; Flag for telephone line installed; Computer; Flag for computer; Number of televisions; Flag for number of televisions; Number of automobiles for private use; Flag for number of automobiles for private use; Number of air conditioning units; Flag for number of air conditioning units; Total number of people in the dwelling; Density of residents per room; Density of residents per bedroom; Number of people in family 1; Number of people in family 2; Number of people in family 3; Number of people in family 4; Number of people in family 5; Number of people in family 6; Number of people in family 7; Number of people in family 8; Number of people in family 9; Total income in the private dwelling; Total income in the private dwelling, in minimum salaries; Household weight; Record type [person version]; Country [person version]; Year [person version]; IPUMS sample identifier [person version]; Household serial number [person version]; Person number; Person weight; Mother's location in household; Father's location in household; Spouse's location in household; Rule for linking parent; Rule for linking spouse; Probable stepmother; Probable stepfather; Man with more than one wife linked; Woman is second or higher order wife; Family unit membership; Number of own family members in household; Number of own children in household; Number of own children under age 5 in household; Age of eldest own child in household; Age of youngest own child in household; Relationship to household head [general version]; Relationship to household head [detailed version]; Age; Age, grouped into intervals; Sex; Marital status [general version]; Marital status [detailed version]; Consensual union; Relationship to head of subfamily; Subfamily membership number; Children ever born; Children surviving; Nativity status; Country of birth; State of birth, Brazil; Religion [general version]; Religion [detailed version]; Race or color; Member of an indigenous group; School attendance; Literacy; Educational attainment, international recode [general version]; Educational attainment, international recode [detailed version]; Years of schooling; Educational attainment, Brazil; Employment status [general version]; Employment status [detailed version]; Occupation, ISCO general; Occupation, unrecoded; Industry, general recode; Industry, unrecoded; Class of worker [general version]; Class of worker [detailed version]; Hours worked per week; Hours worked per week, categorized; Hours worked in main occupation; Hours worked outside of main occupation; Total income; Earned income; Migration status, 5 years; Migration status, previous residence; Country of previous residence; Country of residence 5 years ago; Years residing in current locality; State of previous residence, Brazil; State of residence 5 years ago, Brazil; Years residing in current state, Brazil; Disability status; Blind or vision-impaired; Deaf or hearing-impaired; Disability affecting lower extremities; Mental disability; Person number; Metropolitan region; Respondent provided own information; Sex; Flag for sex; Relationship to head of household; Flag for relationship to head of household; Relationship to head of family; Flag for relationship to head of family; Family number; Flag for family number; Age; Flag for age; Age in months; Flag for age in months; Flag for age; Color or race; Flag for color or race; Religion, 2 digits; Religion, 3 digits; Flag for religion; Permanent mental problem; Flag for permanent mental problem; Ability to see; Flag for ability to see; Ability to hear; Flag for ability to hear; Ability to walk/climb stairs; Flag for ability to walk/climb stairs; Paralysis or loss of limb; Flag for paralysis or loss of limb; Always lived in this municipality; Flag for always lived in this municipality; Duration of residence in this municipality; Flag for duration of residence in this municipality; Was born in this municipality; Flag for born in this municipality; Born in this state; Flag for born in this state; Nationality; Flag for nationality; Year in which began residing in Brazil; Flag for year in which began residing in Brazil; State or country of birth; Flag for state or country of birth; Duration of residence in the state; Flag for duration of residence in the state; State or country of previous residence; Flag for state or country of previous residence; Residence on 31 July 1995; Flag for residence on 31 July 1995; Flagfor municipality of residence; State or country of residence on 31 July 1995; Flag for state or country of residence on 31 July 1995; Flag for municipality or state where work or study; Know how to read and write; Flag for know how to read and write; Attend school or daycare; Flag for attend school or daycare; Course being taken; Flag for course being taken; School year now attending; Flag for school year now attending; Highest course attended, having concluded at least one year; Flag for highest course attended; Last year of school passed; Flag for last year of school passed; Concluded course studied; Flag for concluded course studied; Flag for highest course concluded; Years of education; Live with spouse or partner; Flag for live with spouse or partner; Type of last union; Flag for type of last union; Marital status; Flag for marital status; Had remunerated work last week; Flag for had remunerated work last week; Had work but was off last week; Flag for had work but was off last week; Unpaid non-farm household or apprentice work last week; Flag for unpaid non-farm household or apprentice work last week; Unpaid farm labor last week; Flag for unpaid farm labor last week; Grew crops to feed household last week; Flag for grew crops to feed household last week; Number of jobs last week; Flag for number of jobs last week; Occupation, 1 digit; Occupation, 2 digits; Occupation, 3 digits; Occupation, 4 digits; Flag for occupation; Industry, 2 digits; Industry, 5 digits; Flag for industry; Class of worker; Flag for class of worker; Government employee or military personnel; Flag for government employee or military personnel; How many employees worked in this company; Flag for how many employees worked in this company; Contributor to the official social security; Flag for contributor to the official social security; Income in principal job; Flag for income in principal job; Gross monthly income in principal job; Flag for gross income in principal job; Total monthly income in principal job; Total income in principal job, in minimum salaries; Income in additional jobs; Flag for income in additional jobs; Gross monthly income in additional jobs; Flag for gross income in additional jobs; Total monthly income in additional jobs; Total monthly income in additional jobs, in minimum salaries; Total monthly income in all jobs; Total income in all jobs, in minimum salaries; Hours worked per week in principal job; Flag for hours worked per week in principal job; Hours worked in additional jobs; Flag for hours worked in additional jobs; Total hours worked; Efforts to find work; Flag for efforts to find work; Retired with government social security in July 2000; Flag for retired with government social security in July 2000; Earnings from retirement/pension; Flag for earnings from retirement/pension; Income from rents; Flag for income from rents; Earnings from alimony, allowance, donation; Flag for earnings from alimony, allowance, donation; Income from Federal minimum income program, school allowance, and unemployment insurance; Flag for income from federal minimum income program, school allowance, and unemployment insurance; Other income; Flag for other income; Total income; Total income, in minimum salaries; Total number of children born alive; Flag for total number of children born alive; Total number of children still alive; Age of last born child alive; Flag for age of last born child alive; Total number of children born dead; Flag for total number of children born dead; Total number of children the woman ever had; Flag for total number of children the woman ever had; Person weight;  Brazil  northlimit=5.273055; eastlimit=-34.792631; southlimit=-33.740641; westlimit=-74.004097; name=Brazil;  start=1999-09-25T14:20+10:00; end=1999-09-25T16:40+10:00; scheme=W3C-DTF;  http://international.ipums.org  ipumsi_6.3_br_2000_ddic.xml  ipumsi_6.3_br_2000_ddic_xml.html  IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. (see http://international.ipums.org) ipumsi_6-3_br_2000_dc.xml]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]

Compared fields for: geohash_7
Expected values: [6v3r40u]
Actual values:   [6v3r40u]

Compared fields for: contactOrganization
Expected values: [Minnesota Population Center]
Actual values:   [Minnesota Population Center]

Compared fields for: geohash_6
Expected values: [6v3r40]
Actual values:   [6v3r40]

Compared fields for: geohash_5
Expected values: [6v3r4]
Actual values:   [6v3r4]

Compared fields for: geohash_4
Expected values: [6v3r]
Actual values:   [6v3r]

Compared fields for: geohash_3
Expected values: [6v3]
Actual values:   [6v3]

Compared fields for: geohash_2
Expected values: [6v]
Actual values:   [6v]

Compared fields for: author
Expected values: [Minnesota Population Center]
Actual values:   [Minnesota Population Center]

Compared fields for: geohash_1
Expected values: [6]
Actual values:   [6]

Compared fields for: abstract
Expected values: [IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.]
Actual values:   [IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.]

Compared fields for: pubDate
Expected values: [2014-09-15T00:00:00.000Z]
Actual values:   [2014-09-15T00:00:00.000Z]

Compared fields for: geohash_9
Expected values: [6v3r40u64]
Actual values:   [6v3r40u64]

Compared fields for: geohash_8
Expected values: [6v3r40u6]
Actual values:   [6v3r40u6]

Compared fields for: beginDate
Expected values: [1999-09-25T04:20:00.000Z]
Actual values:   [1999-09-25T04:20:00.000Z]

Compared fields for: site
Expected values: [Brazil]
Actual values:   [Brazil]

Compared fields for: southBoundCoord
Expected values: [-33.740641]
Actual values:   [-33.740641]

Compared fields for: eastBoundCoord
Expected values: [-34.792631]
Actual values:   [-34.792631]

Compared fields for: rightsHolder
Expected values: [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]

Compared fields for: submitter
Expected values: [CN=urn:node:mnTestMPC,DC=dataone,DC=org]
Actual values:   [CN=urn:node:mnTestMPC,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2014-08-28T20:55:19.003Z]
Actual values:   [2014-08-28T20:55:19.003Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [e5975f877816caea2f2be2e2f6b7ddc6]
Actual values:   [e5975f877816caea2f2be2e2f6b7ddc6]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [dcterms_spatial_no_namespace]
Actual values:   [dcterms_spatial_no_namespace]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnTestMPC]
Actual values:   [urn:node:mnTestMPC]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]

Compared fields for: dateModified
Expected values: [2014-08-28T20:55:19.034Z]
Actual values:   [2014-08-28T20:55:19.034Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://ns.dataone.org/metadata/schema/onedcx/v1.0]
Actual values:   [http://ns.dataone.org/metadata/schema/onedcx/v1.0]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [14949]
Actual values:   [14949]

Compared fields for: datasource
Expected values: [urn:node:mnTestMPC]
Actual values:   [urn:node:mnTestMPC]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

[ERROR] 2017-11-21 22:15:09,933 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200) 
[ERROR] 2017-11-21 22:15:09,934 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
[ERROR] 2017-11-21 22:15:09,934 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200) 
[ERROR] 2017-11-21 22:15:09,934 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
[ERROR] 2017-11-21 22:15:09,935 (org.dataone.cn.indexer.parser.TemporalPeriodSolrField:getFields:79) Couldn't extract 'start' or 'end' date for pid dcterms_spatial_no_namespace. Temporal pattern of type period needs to contain at least one of these. Value was: 
Compared fields for: keywords
Expected values: [Zooarchaeology, Historic Archaeology, Diet Variability]
Actual values:   [Zooarchaeology, Historic Archaeology, Diet Variability]

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [McClure, Sarah (Penn State University)]
Actual values:   [McClure, Sarah (Penn State University)]

Compared fields for: origin
Expected values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Actual values:   [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]

Compared fields for: title
Expected values: [Investigating Diet Variability at Early Fortifications in the American Colonies      (Contributed Poster)]
Actual values:   [Investigating Diet Variability at Early Fortifications in the American Colonies      (Contributed Poster)]

Compared fields for: northBoundCoord
Expected values: [47.38374632398567]
Actual values:   [47.38374632398567]

Compared fields for: investigator
Expected values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Actual values:   [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]

Compared fields for: westBoundCoord
Expected values: [-80.8154296875]
Actual values:   [-80.8154296875]

Compared fields for: authorSurNameSort
Expected values: [McClure, Sarah (Penn State University)]
Actual values:   [McClure, Sarah (Penn State University)]

Compared fields for: text
Expected values: [Investigating Diet Variability at Early Fortifications in the American Colonies      (Contributed Poster)  McClure, Sarah (Penn State University)  Burns, Jonathan (Penn State University)  Welker, Martin (Penn State University)  Zooarchaeology  Historic Archaeology  Diet Variability  Document  http://alpha.tdar.org/document/48602/investigating-diet-variability-at-early-fortifications-in-the-american-colonies-contributed-poster  Text  Society of American Archaeology  Society of American Archaeology, San Francisco, California  conference    Variability in historic faunal assemblages is believed to be related to niche      construction effects associated with the establishment and cultivation of Old World      domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period      fortification in Central Pennsylvania occupied during the mid 1750's, is an important case      study in this picture as it was occupied during the introduction of domestic livestock to      Central Pennsylvania. Published zooarchaeological analyses of historic fortifications      elsewhere in the New World highlight significant contributions of locally abundant wild fauna      to military diets. Statistical comparison of faunal assemblages from military installations      dating to the French and Indian War (1754-1763), including Fort Shirley, the American      Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that      diet breadth narrowed through time and was accompanied by increasing reliance on Old World      domesticates.  2015-04-02T21:21:52-07:00  Investigating Diet Variability at Early Fortifications in the American      Colonies (Contributed Poster). Sarah McClure, Jonathan Burns, Martin Welker. Presented at      Society of American Archaeology, San Francisco, California. 2015 ( tDAR id: 48602) ;      doi:10.6067/XCV848602  North America - Northeast  northlimit=47.38374632398567; southlimit=39.30029918615029;      westlimit=-80.8154296875; eastlimit=-66.76461662552896;  2015 dcterms_spatial_no_namespace]
Actual values:   [Investigating Diet Variability at Early Fortifications in the American Colonies      (Contributed Poster)  McClure, Sarah (Penn State University)  Burns, Jonathan (Penn State University)  Welker, Martin (Penn State University)  Zooarchaeology  Historic Archaeology  Diet Variability  Document  http://alpha.tdar.org/document/48602/investigating-diet-variability-at-early-fortifications-in-the-american-colonies-contributed-poster  Text  Society of American Archaeology  Society of American Archaeology, San Francisco, California  conference    Variability in historic faunal assemblages is believed to be related to niche      construction effects associated with the establishment and cultivation of Old World      domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period      fortification in Central Pennsylvania occupied during the mid 1750's, is an important case      study in this picture as it was occupied during the introduction of domestic livestock to      Central Pennsylvania. Published zooarchaeological analyses of historic fortifications      elsewhere in the New World highlight significant contributions of locally abundant wild fauna      to military diets. Statistical comparison of faunal assemblages from military installations      dating to the French and Indian War (1754-1763), including Fort Shirley, the American      Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that      diet breadth narrowed through time and was accompanied by increasing reliance on Old World      domesticates.  2015-04-02T21:21:52-07:00  Investigating Diet Variability at Early Fortifications in the American      Colonies (Contributed Poster). Sarah McClure, Jonathan Burns, Martin Welker. Presented at      Society of American Archaeology, San Francisco, California. 2015 ( tDAR id: 48602) ;      doi:10.6067/XCV848602  North America - Northeast  northlimit=47.38374632398567; southlimit=39.30029918615029;      westlimit=-80.8154296875; eastlimit=-66.76461662552896;  2015 dcterms_spatial_no_namespace]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]

Compared fields for: geohash_7
Expected values: [drew8f5]
Actual values:   [drew8f5]

Compared fields for: contactOrganization
Expected values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Actual values:   [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]

Compared fields for: geohash_6
Expected values: [drew8f]
Actual values:   [drew8f]

Compared fields for: geohash_5
Expected values: [drew8]
Actual values:   [drew8]

Compared fields for: geohash_4
Expected values: [drew]
Actual values:   [drew]

Compared fields for: geohash_3
Expected values: [dre]
Actual values:   [dre]

Compared fields for: geohash_2
Expected values: [dr]
Actual values:   [dr]

Compared fields for: author
Expected values: [McClure, Sarah (Penn State University)]
Actual values:   [McClure, Sarah (Penn State University)]

Compared fields for: geohash_1
Expected values: [d]
Actual values:   [d]

Compared fields for: abstract
Expected values: [Variability in historic faunal assemblages is believed to be related to niche      construction effects associated with the establishment and cultivation of Old World      domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period      fortification in Central Pennsylvania occupied during the mid 1750's, is an important case      study in this picture as it was occupied during the introduction of domestic livestock to      Central Pennsylvania. Published zooarchaeological analyses of historic fortifications      elsewhere in the New World highlight significant contributions of locally abundant wild fauna      to military diets. Statistical comparison of faunal assemblages from military installations      dating to the French and Indian War (1754-1763), including Fort Shirley, the American      Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that      diet breadth narrowed through time and was accompanied by increasing reliance on Old World      domesticates.]
Actual values:   [Variability in historic faunal assemblages is believed to be related to niche      construction effects associated with the establishment and cultivation of Old World      domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period      fortification in Central Pennsylvania occupied during the mid 1750's, is an important case      study in this picture as it was occupied during the introduction of domestic livestock to      Central Pennsylvania. Published zooarchaeological analyses of historic fortifications      elsewhere in the New World highlight significant contributions of locally abundant wild fauna      to military diets. Statistical comparison of faunal assemblages from military installations      dating to the French and Indian War (1754-1763), including Fort Shirley, the American      Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that      diet breadth narrowed through time and was accompanied by increasing reliance on Old World      domesticates.]

Compared fields for: pubDate
Expected values: []
Actual values:   []

Compared fields for: geohash_9
Expected values: [drew8f5tx]
Actual values:   [drew8f5tx]

Compared fields for: geohash_8
Expected values: [drew8f5t]
Actual values:   [drew8f5t]

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: site
Expected values: [North America - Northeast]
Actual values:   [North America - Northeast]

Compared fields for: southBoundCoord
Expected values: [39.30029918615029]
Actual values:   [39.30029918615029]

Compared fields for: eastBoundCoord
Expected values: [-66.76461662552896]
Actual values:   [-66.76461662552896]

Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.369 sec - in org.dataone.cn.index.SolrFieldDublinCoreTest
Running org.dataone.cn.index.SolrIndexReprocessTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 1, Time elapsed: 0.006 sec - in org.dataone.cn.index.SolrIndexReprocessTest
Running org.dataone.cn.index.SolrTokenenizerTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrTokenenizerTest_D92E6455CB3144FC-001/init-core-data-001
[ WARN] 2017-11-21 22:15:10,515 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:15:10,789 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:15:10,790 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:15:10,817 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:15:10,833 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 9.438 sec - in org.dataone.cn.index.SolrTokenenizerTest
Running org.dataone.cn.index.SolrFieldXPathEmlTest
Compared fields for: rightsHolder
Expected values: [dataone_integration_test_user]
Actual values:   [dataone_integration_test_user]

Compared fields for: submitter
Expected values: [dataone_integration_test_user]
Actual values:   [dataone_integration_test_user]

Compared fields for: fileName
Expected values: [fileName1.txt]
Actual values:   [fileName1.txt]

Compared fields for: dateUploaded
Expected values: [2011-08-31T15:59:50.071Z]
Actual values:   [2011-08-31T15:59:50.071Z]

Compared fields for: seriesId
Expected values: [peggym.130]
Actual values:   [peggym.130]

Compared fields for: obsoletedBy
Expected values: [peggym.130.5]
Actual values:   [peggym.130.5]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public, dataone_test_user, dataone_public_user]
Actual values:   [public, dataone_public_user, dataone_test_user]

Compared fields for: checksum
Expected values: [24426711d5385a9ffa583a13d07af2502884932f]
Actual values:   [24426711d5385a9ffa583a13d07af2502884932f]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [peggym.130.4]
Actual values:   [peggym.130.4]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]

Compared fields for: mediaType
Expected values: [text/rdf]
Actual values:   [text/rdf]

Compared fields for: dateModified
Expected values: [2011-08-31T15:59:50.072Z]
Actual values:   [2011-08-31T15:59:50.072Z]

Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values:   [SHA-1]

Compared fields for: mediaTypeProperty
Expected values: [extension rdf, something cool]
Actual values:   [extension rdf, something cool]

Compared fields for: obsoletes
Expected values: [peggym.130.3]
Actual values:   [peggym.130.3]

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [eml://ecoinformatics.org/eml-2.1.0]
Actual values:   [eml://ecoinformatics.org/eml-2.1.0]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [36281]
Actual values:   [36281]

Compared fields for: datasource
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: [dataone_integration_test_user]
Actual values:   [dataone_integration_test_user]

Compared fields for: keywords
Expected values: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Actual values:   [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]

Compared fields for: endDate
Expected values: [2004-02-13T00:00:00.000Z]
Actual values:   [2004-02-13T00:00:00.000Z]

Compared fields for: scientificName
Expected values: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Actual values:   [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]

Compared fields for: authorSurName
Expected values: [SANParks]
Actual values:   [SANParks]

Compared fields for: project
Expected values: []
Actual values:   []

Compared fields for: authorLastName
Expected values: [SANParks, Garcia, Freeman]
Actual values:   [SANParks, Garcia, Freeman]

Compared fields for: westBoundCoord
Expected values: [-120.31121]
Actual values:   [-120.31121]

Compared fields for: authorSurNameSort
Expected values: [SANParks]
Actual values:   [SANParks]

Compared fields for: text
Expected values: [Augrabies falls National Park census data.   SANParks    Garcia  Freddy   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa     Freeman  Gordon   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    The Awesome Store  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.   SANParks, South Africa  Augrabies Falls National Park,South Africa  Census data  EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature    Agulhas falls national Park   -120.311210  -120.311210  26.0  26.0       1998    2004-02-13       Genus  Antidorcas   Species  marsupialis  Hartmans Zebra     Genus  Cercopithecus   Species  aethiops  Vervet monkey     Genus  Diceros   Species  bicornis  Baboon     Genus  Equus   Species  hartmannae  Giraffe     Genus  Giraffa   Species  camelopardalis  Kudu     Genus  Oreotragus   Species  oreotragus  Gemsbok     Genus  Oryz   Species  gazella  Eland     Genus  Papio   Species  hamadryas     Genus  Taurotragus   Species  oryx  Black rhino     Genus  Tragelaphus   Species  strepsiceros  Klipspringer      1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless]
Actual values:   [Augrabies falls National Park census data.   SANParks    Garcia  Freddy   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa     Freeman  Gordon   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    The Awesome Store  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.   SANParks, South Africa  Augrabies Falls National Park,South Africa  Census data  EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature    Agulhas falls national Park   -120.311210  -120.311210  26.0  26.0       1998    2004-02-13       Genus  Antidorcas   Species  marsupialis  Hartmans Zebra     Genus  Cercopithecus   Species  aethiops  Vervet monkey     Genus  Diceros   Species  bicornis  Baboon     Genus  Equus   Species  hartmannae  Giraffe     Genus  Giraffa   Species  camelopardalis  Kudu     Genus  Oreotragus   Species  oreotragus  Gemsbok     Genus  Oryz   Species  gazella  Eland     Genus  Papio   Species  hamadryas     Genus  Taurotragus   Species  oryx  Black rhino     Genus  Tragelaphus   Species  strepsiceros  Klipspringer      1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless]

Compared fields for: isService
Expected values: [false]
Actual values:   [false]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]

Compared fields for: order
Expected values: []
Actual values:   []

Compared fields for: author
Expected values: [SANParks]
Actual values:   [SANParks]

Compared fields for: pubDate
Expected values: []
Actual values:   []

Compared fields for: genus
Expected values: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Actual values:   [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]

Compared fields for: authorGivenName
Expected values: []
Actual values:   []

Compared fields for: southBoundCoord
Expected values: [26.0]
Actual values:   [26.0]

Compared fields for: attributeLabel
Expected values: []
Actual values:   []

Compared fields for: origin
Expected values: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Actual values:   [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]

Compared fields for: attributeDescription
Expected values: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Actual values:   [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]

Compared fields for: serviceEndpoint
Expected values: []
Actual values:   []

Compared fields for: title
Expected values: [Augrabies falls National Park census data.]
Actual values:   [Augrabies falls National Park census data.]

Compared fields for: northBoundCoord
Expected values: [26.0]
Actual values:   [26.0]

Compared fields for: investigator
Expected values: [SANParks, Garcia, Freeman]
Actual values:   [SANParks, Garcia, Freeman]

Compared fields for: attributeName
Expected values: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Actual values:   [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]

Compared fields for: attribute
Expected values: [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]
Actual values:   [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]

Compared fields for: class
Expected values: []
Actual values:   []

Compared fields for: geohash_7
Expected values: [9kd7ym0]
Actual values:   [9kd7ym0]

Compared fields for: contactOrganization
Expected values: [SANParks, The Awesome Store]
Actual values:   [SANParks, The Awesome Store]

Compared fields for: attributeUnit
Expected values: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Actual values:   [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]

Compared fields for: geohash_6
Expected values: [9kd7ym]
Actual values:   [9kd7ym]

Compared fields for: geohash_5
Expected values: [9kd7y]
Actual values:   [9kd7y]

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Expected values: [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997 Mr.  Dennis  Lees   Littoral Ecological and Environmental Services  Principal Investigator  1075 Urania Ave.  Leucadia  CA  92024  USA   760-635-7998  760-635-7999  dennislees@earthlink.net  1359152217358  William  Driskell   6536 20th Ave. NE  Seattle  WA  98115  USA   206-522-5930  bdriskell@comcast.net  Principal Investigator  Emma  Freeman   National Center for Ecological Analysis and Synthesis  Graduate Student Researcher  735 State Street  Suite 300  Santa Barbara  California  93101  USA   1.805.892.2500  http://www.nceas.ucsb.edu  Processor  National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell.  2007.  Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska.  Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574).  National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska.  armoring  sediment condition  recruitment  shoreline treatment  beach washing  bivalves  clams  Exxon Valdez  oil spill  Alaska  Prince William Sound  Hiatella arctica  Protothaca staminea  Leukoma staminea  Saxidomus gigantea  high-pressure hot water wash  injury  recovery  Exxon Valdez Oil Spill Trustee Council  EVOSTC  This material is based upon work funded by the Exxon Valdez Oil Spill Trustee Council.  Any opinions, findings, conclusions, or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views or positions of the Trustee Council.Standard scientific norms for attribution and credit should be followed when using this data including to the Owners, Exxon Valdez Oil Spill Trustee Council and other sources of funding. Please let the Owner know when this data is used.This data is licensed under CC0. The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.  Western Prince William Sound  -148.047  -147.604  60.5435  60.0653    2002-08-07   2002-08-14     Phylum  Mollusca  Class  Bivalvia  Genus  Hiatella  Species  arctica  Nestling clam      Phylum  Mollusca  Order  Bivalvia  Genus  Leukoma  Species  staminea  Littleneck clam      Phylum  Mollusca  Order  Bivalvia  Genus  Saxidomus  Species  gigantea  Butter clam       1359152118258  Site selection  To optimize the potential for detecting treatment effects, sampling was focused on intertidal mixed-soft sediment beaches in central and southwestern PWS where the greatest quantities of oil from the spill were stranded.  Using the NOAA Shoreline Segment Summary and Alaska Department of Natural Resources GIS databases and historic spill-survey documents from 1989 and 1990, appropriate shoreline segments were selected based on exposure, sediment type, degree of oiling, and recommended treatment history.  A random selection of appropriate shoreline segments was made from this list.  Each of the selected segments was then physically viewed during an aerial reconnaissance to determine where suitable sites with an adequate stretch of beach composed of mixed-soft sediments existed at an appropriate tidal elevation.  Final selections were made randomly from this final list of confirmed workable sites.  Four sites from the previous NOAA program were included to assess the degree of consistency with the NOAA studies.  These included one reference site (Bay of Isles) and three treated sites (Northwest Bay West Arm, Shelter Bay, and Sleepy Bay).  Determining the treatment history for any particular stretch of shoreline was a somewhat difficult and complex task.  In the manner previously reported by Mearns (1996), we used NOAA's Shoreline Segment Summary database to assign substrate type, relative degree of oiling (no-, light-, moderate-, or heavy oiling), types of treatment (e.g., moderate- to high-pressure or warm- or hot-water), number of types of treatment, and number of treatment days on a segment.  Mearns (1996) concluded that, although "...treatment varied greatly among shorelines...treatment effort was generally proportional to the amount of oil present." According to his data for Eleanor and Ingot Islands, 81% of the heavily oiled sites were exposed to warm or hot water and 71% were exposed to both.  In addition, 80% of the moderately oiled sites were exposed to warm or hot water.  Only about 10% of the moderately or heavily oiled segments were not treated or did not have accompanying treatment characterization.  From these data, one can conclude that most heavily or moderately oiled sites were washed with hot or warm water.  However, we are unaware of any available public records that actually record treatment for the particular beaches within a portion of a shoreline segment.  Detailed oiling reports and recommended treatments are recorded in the Shoreline Cleanup Assessment Team (SCAT) reports (available at the Alaska Resource Library and Information Services in Anchorage), which include sketches of the distribution of oil and sediments.  The oiling reports and treatment recommendations in these records formed the predominant basis for our decisions on which beaches to survey.  However, it should be clear that, except for the NOAA Treated sites, where we were able to observe treatment underway in 1989, the treatment history of both Treated and Reference sites is based only on educated conjecture.  It is likely that some of the sites were inadvertently misclassified.     Physico-chemical Sediment Analysis  Bulk sediment samples were collected at all sites for analysis of particle grain size (PGS), total organic carbon (TOC), and total Kjeldahl nitrogen (TKN).  These samples were composited from surficial sediments scooped approximately 2 cm deep at points immediately adjacent to three randomly selected sampling locations for the infaunal samples.  Thus, the single composite-sample method did not provide a measure of within site variance.  Each sample was preserved by freezing.  PGS distributions were determined using a pipette method (Plumb 1981) modified to correct for dissolved solids (i.e., salinity and the dispersant added to keep silt/clay particles from clumping). Percent weights within each phi category were used to calculate cumulative phi values for 16, 50, and 84 percent of each sample.  Two statistics were determined from these values.  Median grain size = phi50.  Median grain size in mm = 2exp(-phi50).  The equation used to calculate the sorting coefficient for each sample = (phi84-phi16)/2.  In the laboratory, the samples used for analysis of organic nutrients in the sediments were purged of inorganic carbon, dried at 70 degrees C, ground, and sieved through a 120 mesh screen.  TOC was measured on a Dohrman DC 180 Carbon Analyzer using EPA method 415.1/5310B.  TKN was measured by chromate digestion as described in EPA Method 351.4.  Quality control (QC) for TOC included analysis of standards, method blanks, and comparison of replicate analyses.  All QC analyses for TOC fell within acceptable QC limits.  QC for TKN included analyses of spiked blanks and replicate analyses of spiked samples.  All of the spiked TKN blank analyses fell within QC limits.  However, none of the RPD or REC for the replicate analyses was within QC limits.     Shoreline Exposure  Because many physical and biological variables can be correlated with the intensity of exposure to wave action, variations in exposure to wave action can be a confounding factor.  One commonly used method for estimating exposure is to measure fetch, i.e., the unobstructed distance across open water that wind or waves travel before encountering a beach at a perpendicular angle.  Accordingly, we estimated fetch for each site by measuring the distance to the nearest landfall in a directly offshore direction using a navigation chart.  Nevertheless, using fetch as a measure of exposure is a very crude and potentially inaccurate approach.  It ignores the importance of the direction from which the dominant wind or waves arrive, the seasonal differences in the potential velocity and frequency of winds from the direction of the fetch, and the mitigating effects of local topography and offshore bathymetry (subtidal reefs, etc.), all of which are poorly known in this region.  Consequently, we devised another approach that integrates a variety of exposure-related physical and biological factors to provide an index of exposure.  Using our site photos and field notes to assess the various criteria, we devised an ordinal evaluation of twelve site conditions that reflect the degree of exposure.  The factors included seven physical characteristics of the beach (shape and weathering of individual rocks, degree of imbrication or armoring of the rock population, presence of silt on coarser sediments or rocks, and the susceptibility of the site to current or wave action), and five biological characteristics (absence or level of development of epibenthic algae, animals, or an amorphous biological turf on the rocks, eelgrass or burrowing organisms in the sediments).  Each feature was scored on a scale of 1 to 5.  We then averaged factor scores for each site to provide an integrated exposure score for each site.  By this method, low exposure scores indicate protected sites whereas high scores indicate exposed sites.  Each site was scored without knowledge of its treatment classification in order to avoid biasing the score.  The exposure scores were then paired with the appropriate environmental or biological variables for each site to evaluate the importance of exposure in any observed patterns.     Biological Sampling  In the NOAA studies cited above, we used a clam-gun core to sample infauna and the associated bivalves.  It became clear when we analyzed these samples that this approach provided good information on smaller clam species and juveniles of larger clam species but did not provide adequate data on abundance and size structure of the naturally less abundant, older, larger size clams.  This shortcoming created an important gap in our understanding of the long-term dynamics of clam populations and recovery.  Consequently, we chose to use two contrasting methods to gain a fuller understanding of population and recovery dynamics.  Smaller bivalves were sampled using core samplers 10.7 cm in diameter (0.009 m2) by 15 cm deep, replicating the methods used in the NOAA study.  Five cores (total of 0.045 m2 sampled) were collected at randomly selected locations along a 30-m transect laid horizontally at each site at the lowest feasible level for completing the sampling and within the specified elevation range (0 to 0.8 m [+2.6 feet] above MLLW); the actual level varied with differing tide stage.  Each sample was field-sieved through a 1.0 mm mesh screen, washed into a double-labeled Ziploc bag, and fixed with buffered 10% formalin-seawater solution.  These samples were collected to provide data consistent with and comparable to the NOAA program and to gain an understanding of the status of smaller clam species and younger size classes of the larger, more longevous clams.  For the larger, older, less abundant and typically more dispersed bivalves, sediments were excavated to a depth of 15 cm using a shovel and hands inside a square 0.0625-m2 quadrat.  Three replicate excavations (a total of 0.1875 m2 sampled) were collected adjacent to first, third, and fifth randomly placed core samples described above.  These sediments were sieved on site through 6.35-mm (0.25-inch) mesh hardware cloth, the bivalves removed, placed in labeled bags, and frozen for shipment to the laboratory.  This approach provided useful information on abundance and size and age structure of the larger size classes.  These samples were collected to gain an understanding of the status of older size classes of the larger, more longevous clams  The two sample types provide complementary data.  The core data provide data on a wider spectrum of sizes but, because larger animals are generally rare, these data are better suited for evaluation of the smaller clams and juveniles of the larger species.  This component is lost in the sieving process for the excavation samples but, because that approach samples four times the surface area, it provides substantially better information on the larger, less abundant clams.  Processing the excavation samples with the finer mesh sieve used for the core samples would require an inordinate amount of time both in the field and in the lab.  Following receipt in the laboratory, the samples were washed on a 1-mm sieve to remove the formalin-seawater solution and then preserved with 70% isopropyl alcohol.  After identification and enumeration in the laboratory, shell length was measured with digital calipers to 0.1-mm precision.  In addition, age was estimated for four species (Protothaca, Saxidomus, and Hiatella, Macoma inquinata) by counting growth checks (annuli).  Arbitrary size criteria based on examination of the size-frequency histograms for each species were used to distinguish juveniles from adults for one set of analyses.  For Protothaca, specimens <10 mm in shell length were classified as juvenile.  For Saxidomus, Macoma inquinata, and Hiatella, shell length criteria for juveniles were <12, <15, and <6 mm, respectively.     Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound  Dennis  Lees   PI   Exxon Valdez Oil Spill Trustee Council Project Number 574 df35c.9.14 site replicate species number sampled sieved volume (L) Site Replicate Species Length (mm) Annuli Number sampled Date Treatment Latitude (degree in decimals) Longitude (degree in decimals) Latitude (degrees) Latitude (seconds) Longitude (degrees) Longitude (seconds) % silt/clay TOC % TKN (mg/kg) C:N ratio Name of site Number of sample taken at the site Name of species sampled Number of individuals sampled Volume sieved Length of specimen Count of annuli (growth rings) name of site number of sample taken name of species number of individuals sampled length of sample number of annuli (growth rings) date of sampling treated or reference site latitude in decimal degrees longitude in decimal degrees latitude in degrees latitude in seconds longitude in degrees longitude seconds silt to clay ratio total organic carbon Total Kjeldahl nitrogen ratio of Carbon to Nitrogen dimensionless liter millimeter degree miligramsPerKilogram]
Actual values:   [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997 Mr.  Dennis  Lees   Littoral Ecological and Environmental Services  Principal Investigator  1075 Urania Ave.  Leucadia  CA  92024  USA   760-635-7998  760-635-7999  dennislees@earthlink.net  1359152217358  William  Driskell   6536 20th Ave. NE  Seattle  WA  98115  USA   206-522-5930  bdriskell@comcast.net  Principal Investigator  Emma  Freeman   National Center for Ecological Analysis and Synthesis  Graduate Student Researcher  735 State Street  Suite 300  Santa Barbara  California  93101  USA   1.805.892.2500  http://www.nceas.ucsb.edu  Processor  National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell.  2007.  Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska.  Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574).  National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska.  armoring  sediment condition  recruitment  shoreline treatment  beach washing  bivalves  clams  Exxon Valdez  oil spill  Alaska  Prince William Sound  Hiatella arctica  Protothaca staminea  Leukoma staminea  Saxidomus gigantea  high-pressure hot water wash  injury  recovery  Exxon Valdez Oil Spill Trustee Council  EVOSTC  This material is based upon work funded by the Exxon Valdez Oil Spill Trustee Council.  Any opinions, findings, conclusions, or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views or positions of the Trustee Council.Standard scientific norms for attribution and credit should be followed when using this data including to the Owners, Exxon Valdez Oil Spill Trustee Council and other sources of funding. Please let the Owner know when this data is used.This data is licensed under CC0. The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.  Western Prince William Sound  -148.047  -147.604  60.5435  60.0653    2002-08-07   2002-08-14     Phylum  Mollusca  Class  Bivalvia  Genus  Hiatella  Species  arctica  Nestling clam      Phylum  Mollusca  Order  Bivalvia  Genus  Leukoma  Species  staminea  Littleneck clam      Phylum  Mollusca  Order  Bivalvia  Genus  Saxidomus  Species  gigantea  Butter clam       1359152118258  Site selection  To optimize the potential for detecting treatment effects, sampling was focused on intertidal mixed-soft sediment beaches in central and southwestern PWS where the greatest quantities of oil from the spill were stranded.  Using the NOAA Shoreline Segment Summary and Alaska Department of Natural Resources GIS databases and historic spill-survey documents from 1989 and 1990, appropriate shoreline segments were selected based on exposure, sediment type, degree of oiling, and recommended treatment history.  A random selection of appropriate shoreline segments was made from this list.  Each of the selected segments was then physically viewed during an aerial reconnaissance to determine where suitable sites with an adequate stretch of beach composed of mixed-soft sediments existed at an appropriate tidal elevation.  Final selections were made randomly from this final list of confirmed workable sites.  Four sites from the previous NOAA program were included to assess the degree of consistency with the NOAA studies.  These included one reference site (Bay of Isles) and three treated sites (Northwest Bay West Arm, Shelter Bay, and Sleepy Bay).  Determining the treatment history for any particular stretch of shoreline was a somewhat difficult and complex task.  In the manner previously reported by Mearns (1996), we used NOAA's Shoreline Segment Summary database to assign substrate type, relative degree of oiling (no-, light-, moderate-, or heavy oiling), types of treatment (e.g., moderate- to high-pressure or warm- or hot-water), number of types of treatment, and number of treatment days on a segment.  Mearns (1996) concluded that, although "...treatment varied greatly among shorelines...treatment effort was generally proportional to the amount of oil present." According to his data for Eleanor and Ingot Islands, 81% of the heavily oiled sites were exposed to warm or hot water and 71% were exposed to both.  In addition, 80% of the moderately oiled sites were exposed to warm or hot water.  Only about 10% of the moderately or heavily oiled segments were not treated or did not have accompanying treatment characterization.  From these data, one can conclude that most heavily or moderately oiled sites were washed with hot or warm water.  However, we are unaware of any available public records that actually record treatment for the particular beaches within a portion of a shoreline segment.  Detailed oiling reports and recommended treatments are recorded in the Shoreline Cleanup Assessment Team (SCAT) reports (available at the Alaska Resource Library and Information Services in Anchorage), which include sketches of the distribution of oil and sediments.  The oiling reports and treatment recommendations in these records formed the predominant basis for our decisions on which beaches to survey.  However, it should be clear that, except for the NOAA Treated sites, where we were able to observe treatment underway in 1989, the treatment history of both Treated and Reference sites is based only on educated conjecture.  It is likely that some of the sites were inadvertently misclassified.     Physico-chemical Sediment Analysis  Bulk sediment samples were collected at all sites for analysis of particle grain size (PGS), total organic carbon (TOC), and total Kjeldahl nitrogen (TKN).  These samples were composited from surficial sediments scooped approximately 2 cm deep at points immediately adjacent to three randomly selected sampling locations for the infaunal samples.  Thus, the single composite-sample method did not provide a measure of within site variance.  Each sample was preserved by freezing.  PGS distributions were determined using a pipette method (Plumb 1981) modified to correct for dissolved solids (i.e., salinity and the dispersant added to keep silt/clay particles from clumping). Percent weights within each phi category were used to calculate cumulative phi values for 16, 50, and 84 percent of each sample.  Two statistics were determined from these values.  Median grain size = phi50.  Median grain size in mm = 2exp(-phi50).  The equation used to calculate the sorting coefficient for each sample = (phi84-phi16)/2.  In the laboratory, the samples used for analysis of organic nutrients in the sediments were purged of inorganic carbon, dried at 70 degrees C, ground, and sieved through a 120 mesh screen.  TOC was measured on a Dohrman DC 180 Carbon Analyzer using EPA method 415.1/5310B.  TKN was measured by chromate digestion as described in EPA Method 351.4.  Quality control (QC) for TOC included analysis of standards, method blanks, and comparison of replicate analyses.  All QC analyses for TOC fell within acceptable QC limits.  QC for TKN included analyses of spiked blanks and replicate analyses of spiked samples.  All of the spiked TKN blank analyses fell within QC limits.  However, none of the RPD or REC for the replicate analyses was within QC limits.     Shoreline Exposure  Because many physical and biological variables can be correlated with the intensity of exposure to wave action, variations in exposure to wave action can be a confounding factor.  One commonly used method for estimating exposure is to measure fetch, i.e., the unobstructed distance across open water that wind or waves travel before encountering a beach at a perpendicular angle.  Accordingly, we estimated fetch for each site by measuring the distance to the nearest landfall in a directly offshore direction using a navigation chart.  Nevertheless, using fetch as a measure of exposure is a very crude and potentially inaccurate approach.  It ignores the importance of the direction from which the dominant wind or waves arrive, the seasonal differences in the potential velocity and frequency of winds from the direction of the fetch, and the mitigating effects of local topography and offshore bathymetry (subtidal reefs, etc.), all of which are poorly known in this region.  Consequently, we devised another approach that integrates a variety of exposure-related physical and biological factors to provide an index of exposure.  Using our site photos and field notes to assess the various criteria, we devised an ordinal evaluation of twelve site conditions that reflect the degree of exposure.  The factors included seven physical characteristics of the beach (shape and weathering of individual rocks, degree of imbrication or armoring of the rock population, presence of silt on coarser sediments or rocks, and the susceptibility of the site to current or wave action), and five biological characteristics (absence or level of development of epibenthic algae, animals, or an amorphous biological turf on the rocks, eelgrass or burrowing organisms in the sediments).  Each feature was scored on a scale of 1 to 5.  We then averaged factor scores for each site to provide an integrated exposure score for each site.  By this method, low exposure scores indicate protected sites whereas high scores indicate exposed sites.  Each site was scored without knowledge of its treatment classification in order to avoid biasing the score.  The exposure scores were then paired with the appropriate environmental or biological variables for each site to evaluate the importance of exposure in any observed patterns.     Biological Sampling  In the NOAA studies cited above, we used a clam-gun core to sample infauna and the associated bivalves.  It became clear when we analyzed these samples that this approach provided good information on smaller clam species and juveniles of larger clam species but did not provide adequate data on abundance and size structure of the naturally less abundant, older, larger size clams.  This shortcoming created an important gap in our understanding of the long-term dynamics of clam populations and recovery.  Consequently, we chose to use two contrasting methods to gain a fuller understanding of population and recovery dynamics.  Smaller bivalves were sampled using core samplers 10.7 cm in diameter (0.009 m2) by 15 cm deep, replicating the methods used in the NOAA study.  Five cores (total of 0.045 m2 sampled) were collected at randomly selected locations along a 30-m transect laid horizontally at each site at the lowest feasible level for completing the sampling and within the specified elevation range (0 to 0.8 m [+2.6 feet] above MLLW); the actual level varied with differing tide stage.  Each sample was field-sieved through a 1.0 mm mesh screen, washed into a double-labeled Ziploc bag, and fixed with buffered 10% formalin-seawater solution.  These samples were collected to provide data consistent with and comparable to the NOAA program and to gain an understanding of the status of smaller clam species and younger size classes of the larger, more longevous clams.  For the larger, older, less abundant and typically more dispersed bivalves, sediments were excavated to a depth of 15 cm using a shovel and hands inside a square 0.0625-m2 quadrat.  Three replicate excavations (a total of 0.1875 m2 sampled) were collected adjacent to first, third, and fifth randomly placed core samples described above.  These sediments were sieved on site through 6.35-mm (0.25-inch) mesh hardware cloth, the bivalves removed, placed in labeled bags, and frozen for shipment to the laboratory.  This approach provided useful information on abundance and size and age structure of the larger size classes.  These samples were collected to gain an understanding of the status of older size classes of the larger, more longevous clams  The two sample types provide complementary data.  The core data provide data on a wider spectrum of sizes but, because larger animals are generally rare, these data are better suited for evaluation of the smaller clams and juveniles of the larger species.  This component is lost in the sieving process for the excavation samples but, because that approach samples four times the surface area, it provides substantially better information on the larger, less abundant clams.  Processing the excavation samples with the finer mesh sieve used for the core samples would require an inordinate amount of time both in the field and in the lab.  Following receipt in the laboratory, the samples were washed on a 1-mm sieve to remove the formalin-seawater solution and then preserved with 70% isopropyl alcohol.  After identification and enumeration in the laboratory, shell length was measured with digital calipers to 0.1-mm precision.  In addition, age was estimated for four species (Protothaca, Saxidomus, and Hiatella, Macoma inquinata) by counting growth checks (annuli).  Arbitrary size criteria based on examination of the size-frequency histograms for each species were used to distinguish juveniles from adults for one set of analyses.  For Protothaca, specimens <10 mm in shell length were classified as juvenile.  For Saxidomus, Macoma inquinata, and Hiatella, shell length criteria for juveniles were <12, <15, and <6 mm, respectively.     Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound  Dennis  Lees   PI   Exxon Valdez Oil Spill Trustee Council Project Number 574 df35c.9.14 site replicate species number sampled sieved volume (L) Site Replicate Species Length (mm) Annuli Number sampled Date Treatment Latitude (degree in decimals) Longitude (degree in decimals) Latitude (degrees) Latitude (seconds) Longitude (degrees) Longitude (seconds) % silt/clay TOC % TKN (mg/kg) C:N ratio Name of site Number of sample taken at the site Name of species sampled Number of individuals sampled Volume sieved Length of specimen Count of annuli (growth rings) name of site number of sample taken name of species number of individuals sampled length of sample number of annuli (growth rings) date of sampling treated or reference site latitude in decimal degrees longitude in decimal degrees latitude in degrees latitude in seconds longitude in degrees longitude seconds silt to clay ratio total organic carbon Total Kjeldahl nitrogen ratio of Carbon to Nitrogen dimensionless liter millimeter degree miligramsPerKilogram]

Compared fields for: isService
Expected values: [false]
Actual values:   [false]

Compared fields for: order
Expected values: [Bivalvia]
Actual values:   [Bivalvia]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/df35c.9.14]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/df35c.9.14]

Compared fields for: author
Expected values: [Dennis Lees]
Actual values:   [Dennis Lees]

Compared fields for: pubDate
Expected values: []
Actual values:   []

Compared fields for: genus
Expected values: [Hiatella, Leukoma, Saxidomus]
Actual values:   [Hiatella, Leukoma, Saxidomus]

Compared fields for: authorGivenName
Expected values: [Dennis]
Actual values:   [Dennis]

Compared fields for: southBoundCoord
Expected values: [60.0653]
Actual values:   [60.0653]

Compared fields for: attributeLabel
Expected values: []
Actual values:   []

Compared fields for: origin
Expected values: [Dennis Lees]
Actual values:   [Dennis Lees]

Compared fields for: attributeDescription
Expected values: [Name of site, Number of sample taken at the site, Name of species sampled, Number of individuals sampled, Volume sieved, Name of site, Number of sample taken at the site, Name of species sampled, Length of specimen, Count of annuli (growth rings), name of site, number of sample taken, name of species, number of individuals sampled, length of sample, number of annuli (growth rings), date of sampling, Name of site, treated or reference site, latitude in decimal degrees, longitude in decimal degrees, latitude in degrees, latitude in seconds, longitude in degrees, longitude seconds, silt to clay ratio, total organic carbon, Total Kjeldahl nitrogen, ratio of Carbon to Nitrogen]
Actual values:   [Name of site, Number of sample taken at the site, Name of species sampled, Number of individuals sampled, Volume sieved, Name of site, Number of sample taken at the site, Name of species sampled, Length of specimen, Count of annuli (growth rings), name of site, number of sample taken, name of species, number of individuals sampled, length of sample, number of annuli (growth rings), date of sampling, Name of site, treated or reference site, latitude in decimal degrees, longitude in decimal degrees, latitude in degrees, latitude in seconds, longitude in degrees, longitude seconds, silt to clay ratio, total organic carbon, Total Kjeldahl nitrogen, ratio of Carbon to Nitrogen]

Compared fields for: serviceEndpoint
Expected values: []
Actual values:   []

Compared fields for: title
Expected values: [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997]
Actual values:   [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997]

Compared fields for: northBoundCoord
Expected values: [60.5435]
Actual values:   [60.5435]

Compared fields for: investigator
Expected values: [Lees]
Actual values:   [Lees]

Compared fields for: attributeName
Expected values: [site, replicate, species, number sampled, sieved volume (L), Site, Replicate, Species, Length (mm), Annuli, Site, Replicate, Species, Number sampled, Length (mm), Annuli, Date, Site, Treatment, Latitude (degree in decimals), Longitude (degree in decimals), Latitude (degrees), Latitude (seconds), Longitude (degrees), Longitude (seconds), % silt/clay, TOC %, TKN (mg/kg), C:N ratio]
Actual values:   [site, replicate, species, number sampled, sieved volume (L), Site, Replicate, Species, Length (mm), Annuli, Site, Replicate, Species, Number sampled, Length (mm), Annuli, Date, Site, Treatment, Latitude (degree in decimals), Longitude (degree in decimals), Latitude (degrees), Latitude (seconds), Longitude (degrees), Longitude (seconds), % silt/clay, TOC %, TKN (mg/kg), C:N ratio]

Compared fields for: attribute
Expected values: [site  Name of site, replicate  Number of sample taken at the site dimensionless, species  Name of species sampled, number sampled  Number of individuals sampled dimensionless, sieved volume (L)  Volume sieved liter, Site  Name of site, Replicate  Number of sample taken at the site dimensionless, Species  Name of species sampled, Length (mm)  Length of specimen millimeter, Annuli  Count of annuli (growth rings) dimensionless, Site  name of site, Replicate  number of sample taken dimensionless, Species  name of species, Number sampled  number of individuals sampled dimensionless, Length (mm)  length of sample millimeter, Annuli  number of annuli (growth rings) dimensionless, Date  date of sampling, Site  Name of site, Treatment  treated or reference site, Latitude (degree in decimals)  latitude in decimal degrees degree, Longitude (degree in decimals)  longitude in decimal degrees degree, Latitude (degrees)  latitude in degrees degree, Latitude (seconds)  latitude in seconds degree, Longitude (degrees)  longitude in degrees degree, Longitude (seconds)  longitude seconds degree, % silt/clay  silt to clay ratio dimensionless, TOC %  total organic carbon dimensionless, TKN (mg/kg)  Total Kjeldahl nitrogen miligramsPerKilogram, C:N ratio  ratio of Carbon to Nitrogen dimensionless]
Actual values:   [site  Name of site, replicate  Number of sample taken at the site dimensionless, species  Name of species sampled, number sampled  Number of individuals sampled dimensionless, sieved volume (L)  Volume sieved liter, Site  Name of site, Replicate  Number of sample taken at the site dimensionless, Species  Name of species sampled, Length (mm)  Length of specimen millimeter, Annuli  Count of annuli (growth rings) dimensionless, Site  name of site, Replicate  number of sample taken dimensionless, Species  name of species, Number sampled  number of individuals sampled dimensionless, Length (mm)  length of sample millimeter, Annuli  number of annuli (growth rings) dimensionless, Date  date of sampling, Site  Name of site, Treatment  treated or reference site, Latitude (degree in decimals)  latitude in decimal degrees degree, Longitude (degree in decimals)  longitude in decimal degrees degree, Latitude (degrees)  latitude in degrees degree, Latitude (seconds)  latitude in seconds degree, Longitude (degrees)  longitude in degrees degree, Longitude (seconds)  longitude seconds degree, % silt/clay  silt to clay ratio dimensionless, TOC %  total organic carbon dimensionless, TKN (mg/kg)  Total Kjeldahl nitrogen miligramsPerKilogram, C:N ratio  ratio of Carbon to Nitrogen dimensionless]

Compared fields for: class
Expected values: [Bivalvia]
Actual values:   [Bivalvia]

Compared fields for: geohash_7
Expected values: [bdwzh4h]
Actual values:   [bdwzh4h]

Compared fields for: contactOrganization
Expected values: [Littoral Ecological and Environmental Services]
Actual values:   [Littoral Ecological and Environmental Services]

Compared fields for: attributeUnit
Expected values: [dimensionless, dimensionless, liter, dimensionless, millimeter, dimensionless, dimensionless, dimensionless, millimeter, dimensionless, degree, degree, degree, degree, degree, degree, dimensionless, dimensionless, miligramsPerKilogram, dimensionless]
Actual values:   [dimensionless, dimensionless, liter, dimensionless, millimeter, dimensionless, dimensionless, dimensionless, millimeter, dimensionless, degree, degree, degree, degree, degree, degree, dimensionless, dimensionless, miligramsPerKilogram, dimensionless]

Compared fields for: geohash_6
Expected values: [bdwzh4]
Actual values:   [bdwzh4]

Compared fields for: geohash_5
Expected values: [bdwzh]
Actual values:   [bdwzh]

Compared fields for: geohash_4
Expected values: [bdwz]
Actual values:   [bdwz]

Compared fields for: geohash_3
Expected values: [bdw]
Actual values:   [bdw]

Compared fields for: geohash_2
Expected values: [bd]
Actual values:   [bd]

Compared fields for: geohash_1
Expected values: [b]
Actual values:   [b]

Compared fields for: abstract
Expected values: [National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell.  2007.  Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska.  Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574).  National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska.]
Actual values:   [National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell.  2007.  Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska.  Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574).  National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska.]

Compared fields for: kingdom
Expected values: []
Actual values:   []

Compared fields for: geohash_9
Expected values: [bdwzh4hf8]
Actual values:   [bdwzh4hf8]

Compared fields for: geohash_8
Expected values: [bdwzh4hf]
Actual values:   [bdwzh4hf]

Compared fields for: authorGivenNameSort
Expected values: [Dennis]
Actual values:   [Dennis]

Compared fields for: beginDate
Expected values: [2002-08-07T00:00:00.000Z]
Actual values:   [2002-08-07T00:00:00.000Z]

Compared fields for: site
Expected values: [Western Prince William Sound]
Actual values:   [Western Prince William Sound]

Compared fields for: phylum
Expected values: [Mollusca]
Actual values:   [Mollusca]

Compared fields for: species
Expected values: [arctica, staminea, gigantea]
Actual values:   [arctica, staminea, gigantea]

Compared fields for: serviceTitle
Expected values: []
Actual values:   []

Compared fields for: serviceDescription
Expected values: []
Actual values:   []

Compared fields for: eastBoundCoord
Expected values: [-147.604]
Actual values:   [-147.604]

Compared fields for: family
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [dataone_integration_test_user]
Actual values:   [dataone_integration_test_user]

Compared fields for: submitter
Expected values: [dataone_integration_test_user]
Actual values:   [dataone_integration_test_user]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2011-08-31T15:59:50.071Z]
Actual values:   [2011-08-31T15:59:50.071Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public, dataone_test_user, dataone_public_user]
Actual values:   [public, dataone_public_user, dataone_test_user]

Compared fields for: checksum
Expected values: [24426711d5385a9ffa583a13d07af2502884932f]
Actual values:   [24426711d5385a9ffa583a13d07af2502884932f]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [serviceEmlPid]
Actual values:   [serviceEmlPid]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]

Compared fields for: dateModified
Expected values: [2011-08-31T15:59:50.072Z]
Actual values:   [2011-08-31T15:59:50.072Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values:   [SHA-1]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [eml://ecoinformatics.org/eml-2.1.0]
Actual values:   [eml://ecoinformatics.org/eml-2.1.0]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [36281]
Actual values:   [36281]

Compared fields for: datasource
Expected values: [test_documents]
Actual values:   [test_documents]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: [dataone_integration_test_user]
Actual values:   [dataone_integration_test_user]

Compared fields for: keywords
Expected values: []
Actual values:   []

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: scientificName
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: []
Actual values:   []

Compared fields for: project
Expected values: []
Actual values:   []

Compared fields for: authorLastName
Expected values: []
Actual values:   []

Compared fields for: westBoundCoord
Expected values: []
Actual values:   []

Compared fields for: authorSurNameSort
Expected values: []
Actual values:   []

Compared fields for: text
Expected values: [serviceEmlPid]
Actual values:   [serviceEmlPid]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]

Compared fields for: order
Expected values: []
Actual values:   []

Compared fields for: author
Expected values: []
Actual values:   []

Compared fields for: pubDate
Expected values: []
Actual values:   []

Compared fields for: genus
Expected values: []
Actual values:   []

Compared fields for: authorGivenName
Expected values: []
Actual values:   []

Compared fields for: southBoundCoord
Expected values: []
Actual values:   []

Compared fields for: attributeLabel
Expected values: []
Actual values:   []

Compared fields for: origin
Expected values: []
Actual values:   []

Compared fields for: attributeDescription
Expected values: []
Actual values:   []

Compared fields for: serviceEndpoint
Expected values: [https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-Configure.1.m]
Actual values:   [https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-Configure.1.m]

Compared fields for: title
Expected values: []
Actual values:   []

Compared fields for: northBoundCoord
Expected values: []
Actual values:   []

Compared fields for: investigator
Expected values: []
Actual values:   []

Compared fields for: attributeName
Expected values: []
Actual values:   []

Compared fields for: attribute
Expected values: []
Actual values:   []

Compared fields for: class
Expected values: []
Actual values:   []

Compared fields for: geohash_7
Expected values: []
Actual values:   []

Compared fields for: contactOrganization
Expected values: []
Actual values:   []

Compared fields for: attributeUnit
Expected values: []
Actual values:   []

Compared fields for: geohash_6
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: []
Actual values:   []

Compared fields for: geohash_4
Expected values: []
Actual values:   []

Compared fields for: geohash_3
Expected values: []
Actual values:   []

Compared fields for: geohash_2
Expected values: []
Actual values:   []

Compared fields for: geohash_1
Expected values: []
Actual values:   []

Compared fields for: abstract
Expected values: []
Actual values:   []

Compared fields for: kingdom
Expected values: []
Actual values:   []

Compared fields for: geohash_9
Expected values: []
Actual values:   []

Compared fields for: geohash_8
Expected values: []
Actual values:   []

Compared fields for: authorGivenNameSort
Expected values: []
Actual values:   []

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: site
Expected values: []
Actual values:   []

Compared fields for: phylum
Expected values: []
Actual values:   []

Compared fields for: serviceTitle
Expected values: [PACIOOS: Water Quality Processing Software, Matlab DataProcessor, Configure, Scedule scripts]
Actual values:   [PACIOOS: Water Quality Processing Software, Matlab DataProcessor, Configure, Scedule scripts]

Compared fields for: species
Expected values: []
Actual values:   []

Compared fields for: serviceDescription
Expected values: [PACIOOS processes water quality data in near real-time (with only network transfer delays)          and produces 1, 3, 7, 10, 21, and 30-day plots of conductivity, salinity, pressure,          chlorophyll, and turbidity measurements for each instrument location on the islands of          Oahu, Maui, and other insular Pacific sites.:The ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m provides          configuration values that get set in the ala-wai-canal-ns02-matlab-processing-Configure.1.m          class, which is in turn used by the ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m          class to process the raw data and produce EPS and JPEG figures.]
Actual values:   [PACIOOS processes water quality data in near real-time (with only network transfer delays)          and produces 1, 3, 7, 10, 21, and 30-day plots of conductivity, salinity, pressure,          chlorophyll, and turbidity measurements for each instrument location on the islands of          Oahu, Maui, and other insular Pacific sites.:The ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m provides          configuration values that get set in the ala-wai-canal-ns02-matlab-processing-Configure.1.m          class, which is in turn used by the ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m          class to process the raw data and produce EPS and JPEG figures.]

Compared fields for: eastBoundCoord
Expected values: []
Actual values:   []

Compared fields for: family
Expected values: []
Actual values:   []

Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.84 sec - in org.dataone.cn.index.SolrFieldXPathEmlTest
Running org.dataone.cn.index.InvalidXmlCharTest
Hibernate: select indextask0_.id as id0_, indextask0_.dateSysMetaModified as dateSysM2_0_, indextask0_.deleted as deleted0_, indextask0_.formatId as formatId0_, indextask0_.nextExecution as nextExec5_0_, indextask0_.objectPath as objectPath0_, indextask0_.pid as pid0_, indextask0_.priority as priority0_, indextask0_.status as status0_, indextask0_.sysMetadata as sysMeta10_0_, indextask0_.taskModifiedDate as taskMod11_0_, indextask0_.tryCount as tryCount0_, indextask0_.version as version0_ from index_task indextask0_ where indextask0_.pid=?
 
field value: testMNodeTier3:2012679267486_common-bmp-doc-example-เธ‰เธฑเธ™เธเธดเธ™เธเธฃเธฐเธˆเธเน„เธ”เน‰
field value: text/plain
field value: DATA
field value: 684336
field value: 4504b4dd97f2d7a4766dfaaa3f968ec2
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: MD5
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: false
field value: 2012-03-07T17:26:09.962Z
field value: 2012-03-07T17:27:22.879Z
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: 2012-03-07T00:00:00.000Z
field value: public
field value: true
field value: https://cn.dataone.org/cn/v2/resolve/testMNodeTier3%3A2012679267486_common-bmp-doc-example-%E0%B8%89%E0%B8%B1%E0%B8%99%E0%B8%81%E0%B8%B4%E0%B8%99%E0%B8%81%E0%B8%A3%E0%B8%B0%E0%B8%88%E0%B8%81%E0%B9%84%E0%B8%94%E0%B9%89
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id0_, indextask0_.dateSysMetaModified as dateSysM2_0_, indextask0_.deleted as deleted0_, indextask0_.formatId as formatId0_, indextask0_.nextExecution as nextExec5_0_, indextask0_.objectPath as objectPath0_, indextask0_.pid as pid0_, indextask0_.priority as priority0_, indextask0_.status as status0_, indextask0_.sysMetadata as sysMeta10_0_, indextask0_.taskModifiedDate as taskMod11_0_, indextask0_.tryCount as tryCount0_, indextask0_.version as version0_ from index_task indextask0_ where indextask0_.pid=?
 
field value: testMNodeTier3:2012679267486_common-bmp-doc-example-เธ‰เธฑเธ™เธเธดเธ™เธเธฃเธฐเธˆเธเน„เธ”เน‰
field value: text/plain
field value: DATA
field value: 684336
field value: 4504b4dd97f2d7a4766dfaaa3f968ec2
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: MD5
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: false
field value: 2012-03-07T17:26:09.962Z
field value: 2012-03-07T17:27:22.879Z
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: 2012-03-07T00:00:00.000Z
field value: public
field value: true
field value: https://cn.dataone.org/cn/v2/resolve/testMNodeTier3%3A2012679267486_common-bmp-doc-example-%E0%B8%89%E0%B8%B1%E0%B8%99%E0%B8%81%E0%B8%B4%E0%B8%99%E0%B8%81%E0%B8%A3%E0%B8%B0%E0%B8%88%E0%B8%81%E0%B9%84%E0%B8%94%E0%B9%89
 
field value: testMNodeTier3:2012679267486_common-bmp-doc-example-เธ‰เธฑเธ™เธเธดเธ™เธเธฃเธฐเธˆเธเน„เธ”เน‰
field value: text/plain
field value: DATA
field value: 684336
field value: 4504b4dd97f2d7a4766dfaaa3f968ec2
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: MD5
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: false
field value: 2012-03-07T17:26:09.962Z
field value: 2012-03-07T17:27:22.879Z
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: 2012-03-07T00:00:00.000Z
field value: public
field value: true
field value: https://cn.dataone.org/cn/v2/resolve/testMNodeTier3%3A2012679267486_common-bmp-doc-example-%E0%B8%89%E0%B8%B1%E0%B8%99%E0%B8%81%E0%B8%B4%E0%B8%99%E0%B8%81%E0%B8%A3%E0%B8%B0%E0%B8%88%E0%B8%81%E0%B9%84%E0%B8%94%E0%B9%89
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.278 sec - in org.dataone.cn.index.InvalidXmlCharTest
Running org.dataone.cn.index.SolrFieldDataCiteTest
Compared fields for: rightsHolder
Expected values: [CN=Tom Scientist A13461,O=University of America,C=US,DC=cilogon,DC=org]
Actual values:   [CN=Tom Scientist A13461,O=University of America,C=US,DC=cilogon,DC=org]

Compared fields for: submitter
Expected values: [CN=urn:node:mnTestDASH,DC=dataone,DC=org]
Actual values:   [CN=urn:node:mnTestDASH,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2014-08-28T20:55:19.003Z]
Actual values:   [2014-08-28T20:55:19.003Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [f3985f867816caea2f2be2e2f6b7ddc6]
Actual values:   [f3985f867816caea2f2be2e2f6b7ddc6]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [dataciteScienceMetadata1]
Actual values:   [dataciteScienceMetadata1]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnTestDASH]
Actual values:   [urn:node:mnTestDASH]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]

Compared fields for: dateModified
Expected values: [2014-08-28T20:55:19.034Z]
Actual values:   [2014-08-28T20:55:19.034Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://datacite.org/schema/kernel-3.0]
Actual values:   [http://datacite.org/schema/kernel-3.0]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [8849]
Actual values:   [8849]

Compared fields for: datasource
Expected values: [urn:node:mnTestDASH]
Actual values:   [urn:node:mnTestDASH]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [Temperature, Humidity, Classrooms, Ponhook Lake (N.S.)]
Actual values:   [Temperature, Humidity, Classrooms, Ponhook Lake (N.S.)]

Compared fields for: endDate
Expected values: [1962-10-12T00:00:00.000Z]
Actual values:   [1962-10-12T00:00:00.000Z]

Compared fields for: authorSurName
Expected values: [Peach]
Actual values:   [Peach]

Compared fields for: origin
Expected values: [Peach, A.]
Actual values:   [Peach, A.]

Compared fields for: title
Expected values: [Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962]
Actual values:   [Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962]

Compared fields for: northBoundCoord
Expected values: [44.9667]
Actual values:   [44.9667]

Compared fields for: investigator
Expected values: [Peach, A., Pomegranate, B.]
Actual values:   [Peach, A., Pomegranate, B.]

Compared fields for: authorLastName
Expected values: [Peach]
Actual values:   [Peach]

Compared fields for: westBoundCoord
Expected values: [-64.2]
Actual values:   [-64.2]

Compared fields for: authorSurNameSort
Expected values: [Peach]
Actual values:   [Peach]

Compared fields for: text
Expected values: [10.5072/DataCollector_dateCollected_geoLocationBox    Peach, A.     Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962   National Research Council Canada  1963   Temperature  Humidity  Classrooms  Ponhook Lake (N.S.)     Pomegranate, B.     1961-06-01/1962-10-12   en  report   10 p.    The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported.     44.7167 -64.2 44.9667 -63.8  Ponhook Lake, Nova Scotia dataciteScienceMetadata1]
Actual values:   [10.5072/DataCollector_dateCollected_geoLocationBox    Peach, A.     Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962   National Research Council Canada  1963   Temperature  Humidity  Classrooms  Ponhook Lake (N.S.)     Pomegranate, B.     1961-06-01/1962-10-12   en  report   10 p.    The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported.     44.7167 -64.2 44.9667 -63.8  Ponhook Lake, Nova Scotia dataciteScienceMetadata1]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]

Compared fields for: geohash_7
Expected values: [dxfrpeh]
Actual values:   [dxfrpeh]

Compared fields for: geohash_6
Expected values: [dxfrpe]
Actual values:   [dxfrpe]

Compared fields for: contactOrganization
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: [dxfrp]
Actual values:   [dxfrp]

Compared fields for: geohash_4
Expected values: [dxfr]
Actual values:   [dxfr]

Compared fields for: geohash_3
Expected values: [dxf]
Actual values:   [dxf]

Compared fields for: geohash_2
Expected values: [dx]
Actual values:   [dx]

Compared fields for: author
Expected values: [Peach, A.]
Actual values:   [Peach, A.]

Compared fields for: geohash_1
Expected values: [d]
Actual values:   [d]

Compared fields for: abstract
Expected values: [The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported.]
Actual values:   [The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported.]

Compared fields for: pubDate
Expected values: [1963-01-01T00:00:00.000Z]
Actual values:   [1963-01-01T00:00:00.000Z]

Compared fields for: geohash_9
Expected values: [dxfrpehtg]
Actual values:   [dxfrpehtg]

Compared fields for: geohash_8
Expected values: [dxfrpeht]
Actual values:   [dxfrpeht]

Compared fields for: authorGivenNameSort
Expected values: [A.]
Actual values:   [A.]

Compared fields for: beginDate
Expected values: [1961-06-01T00:00:00.000Z]
Actual values:   [1961-06-01T00:00:00.000Z]

Compared fields for: site
Expected values: [Ponhook Lake, Nova Scotia]
Actual values:   [Ponhook Lake, Nova Scotia]

Compared fields for: authorGivenName
Expected values: [A.]
Actual values:   [A.]

Compared fields for: southBoundCoord
Expected values: [44.7167]
Actual values:   [44.7167]

Compared fields for: eastBoundCoord
Expected values: [-63.8]
Actual values:   [-63.8]

Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.054 sec - in org.dataone.cn.index.SolrFieldDataCiteTest
Running org.dataone.cn.index.SolrIndexFieldTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrIndexFieldTest_902CA1105201D1D9-001/init-core-data-001
[ WARN] 2017-11-21 22:15:21,109 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:15:21,382 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:15:21,383 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:15:21,406 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:15:21,422 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Comparing value for field abstract
Doc Value:  Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.
Solr Value: Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.

Comparing value for field beginDate
Doc Value:  Sat Mar 01 03:00:00 EET 1986
Solr Value: Sat Mar 01 03:00:00 EET 1986

Comparing value for field contactOrganization
Doc Value:  [CSIRO Division of Marine Research-Hobart]
Solr Value: [CSIRO Division of Marine Research-Hobart]

Comparing value for field eastBoundCoord
Doc Value:  142.0
Solr Value: 142.0

Comparing value for field westBoundCoord
Doc Value:  141.5
Solr Value: 141.5

Comparing value for field northBoundCoord
Doc Value:  -12.5
Solr Value: -12.5

Comparing value for field southBoundCoord
Doc Value:  -13.0
Solr Value: -13.0

Comparing value for field endDate
Doc Value:  Wed Apr 01 03:00:00 EEST 1992
Solr Value: Wed Apr 01 03:00:00 EEST 1992

Comparing value for field keywords
Doc Value:  [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]
Solr Value: [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]

Comparing value for field geoform
Doc Value:  maps data
Solr Value: maps data

Comparing value for field kingdom
Doc Value:  [Animalia]
Solr Value: [Animalia]

Comparing value for field order
Doc Value:  [Decapoda]
Solr Value: [Decapoda]

Comparing value for field phylum
Doc Value:  [Arthropoda, Test]
Solr Value: [Arthropoda, Test]

Comparing value for field class
Doc Value:  [Malacostraca]
Solr Value: [Malacostraca]

Comparing value for field origin
Doc Value:  [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Solr Value: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]

Comparing value for field placeKey
Doc Value:  [Australlia, Gulf of Carpentaria, Albatross Bay]
Solr Value: [Australlia, Gulf of Carpentaria, Albatross Bay]

Comparing value for field pubDate
Doc Value:  Fri Jan 01 02:00:00 EET 1993
Solr Value: Fri Jan 01 02:00:00 EET 1993

Comparing value for field purpose
Doc Value:  The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.
Solr Value: The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.

Comparing value for field title
Doc Value:  Albatross Bay Adult Prawn Data 1986-1992
Solr Value: Albatross Bay Adult Prawn Data 1986-1992

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns

Comparing value for field text
Doc Value:  http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml     CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)  1993  Albatross Bay Adult Prawn Data 1986-1992  maps data   Australia  CSIRO Division of Marine Research      Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.  The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.  Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.

The previous online linkage was determined to be broken in October 2010 and moved here.  The previous online linkage was:
http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML      19860301  19920401    ground condition    Complete  None planned    Australia, Gulf of Carpentaria   141.5  142  -12.5  -13      ISO 19115 Topic Category  none    Parameter_Sensor_Source  BIOMASS|LANDSAT TM|LANDSAT-5    none  adult prawn data  size  sex  reproductive stage  moult stage  parasites  NONE    none  Australlia  Gulf of Carpentaria  Albatross Bay      none  prawns  shrimps  crustaceans       Agencies listed below  2002  Integrated Taxonomic Information System  Database   Washington, D.C.  U.S. Department of Agriculture   Department of Commerce, National Oceanic and Atmospheric Administration (NOAA),  Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH).  http://www.itis.usda.gov/       Kingdom  Animalia  animals   Phylum  Arthropoda  arthropods   Division  Test  arthropods   Subphylum  Crustacea  crustaceans   Class  Malacostraca   Subclass  Eumalacostraca   Superorder  Eucarida   Order  Decapoda  crabs  crayfishes  lobsters  prawns  shrimp           Release with the permission of the custodian.  None     Peter Crocos  CSIRO Division of Marine Research-Cleveland    mailing address  P.O. Box 120  Cleveland  Queensland  4163  Australia   unknown  unknown  peter.crocos@csiro.au      CSIRO Division of Marine Research  Unknown  Albatross Bay Chlorophyll Data 1986-1992  unknown   Australia  CSIRO Division of Marine Research       Stephen Blaber, David Brewer, John Salini, J. Kerr  Unknown  Albatross Bay Fish Data 1986-1988  unknown   Australia  CSIRO Division of Marine Research       Stever Blaber, CSIRO Division of Marine Research  Unknown  Albatross Bay Nearshore Fish Study 1991-1992  unknown   Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Nutrient Data 1992  unknown   Australia  CSIRO Division of Marine Research       Chris Jackson, CSIRO Division of Marine Research  Unknown  Albatross Bay Phytoplankton Data 1986-1992  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Prawn Larval Data  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Primary Productivity  unknown   Queensland, Australia  CSIRO Division of Marine Research       not applicable  Twenty stations were sampled.    Field  unknown    unknown  Unknown      Point     Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites  unknown        Tony Rees  CSIRO Division of Marine Research-Hobart    mailing address  Hobart  Australia   unknown  unknown  Tony.Rees@csiro.au    You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it.  Please contact distributor.    19980710  20020930  20030930     Cheryl Solomon  Science Systems and Applications, Inc.   Metadata specialist   mailing and physical address  10210 Greenbelt Road, Suite 500  Lanham  Maryland  20706   301 867-2080  301-867-2149.  solomon@gcmd.nasa.gov    FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata  FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml     CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)  1993  Albatross Bay Adult Prawn Data 1986-1992  maps data   Australia  CSIRO Division of Marine Research      Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.  The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.  Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.

The previous online linkage was determined to be broken in October 2010 and moved here.  The previous online linkage was:
http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML      19860301  19920401    ground condition    Complete  None planned    Australia, Gulf of Carpentaria   141.5  142  -12.5  -13      ISO 19115 Topic Category  none    Parameter_Sensor_Source  BIOMASS|LANDSAT TM|LANDSAT-5    none  adult prawn data  size  sex  reproductive stage  moult stage  parasites  NONE    none  Australlia  Gulf of Carpentaria  Albatross Bay      none  prawns  shrimps  crustaceans       Agencies listed below  2002  Integrated Taxonomic Information System  Database   Washington, D.C.  U.S. Department of Agriculture   Department of Commerce, National Oceanic and Atmospheric Administration (NOAA),  Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH).  http://www.itis.usda.gov/       Kingdom  Animalia  animals   Phylum  Arthropoda  arthropods   Division  Test  arthropods   Subphylum  Crustacea  crustaceans   Class  Malacostraca   Subclass  Eumalacostraca   Superorder  Eucarida   Order  Decapoda  crabs  crayfishes  lobsters  prawns  shrimp           Release with the permission of the custodian.  None     Peter Crocos  CSIRO Division of Marine Research-Cleveland    mailing address  P.O. Box 120  Cleveland  Queensland  4163  Australia   unknown  unknown  peter.crocos@csiro.au      CSIRO Division of Marine Research  Unknown  Albatross Bay Chlorophyll Data 1986-1992  unknown   Australia  CSIRO Division of Marine Research       Stephen Blaber, David Brewer, John Salini, J. Kerr  Unknown  Albatross Bay Fish Data 1986-1988  unknown   Australia  CSIRO Division of Marine Research       Stever Blaber, CSIRO Division of Marine Research  Unknown  Albatross Bay Nearshore Fish Study 1991-1992  unknown   Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Nutrient Data 1992  unknown   Australia  CSIRO Division of Marine Research       Chris Jackson, CSIRO Division of Marine Research  Unknown  Albatross Bay Phytoplankton Data 1986-1992  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Prawn Larval Data  unknown   Queensland, Australia  CSIRO Division of Marine Research       CSIRO Division of Marine Research  Unknown  Albatross Bay Primary Productivity  unknown   Queensland, Australia  CSIRO Division of Marine Research       not applicable  Twenty stations were sampled.    Field  unknown    unknown  Unknown      Point     Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites  unknown        Tony Rees  CSIRO Division of Marine Research-Hobart    mailing address  Hobart  Australia   unknown  unknown  Tony.Rees@csiro.au    You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it.  Please contact distributor.    19980710  20020930  20030930     Cheryl Solomon  Science Systems and Applications, Inc.   Metadata specialist   mailing and physical address  10210 Greenbelt Road, Suite 500  Lanham  Maryland  20706   301 867-2080  301-867-2149.  solomon@gcmd.nasa.gov    FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata  FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns

Comparing value for field presentationCat
Doc Value:  maps data
Solr Value: maps data

Comparing value for field author
Doc Value:  CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Solr Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)

Comparing value for field authorSurName
Doc Value:  CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Solr Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)

Comparing value for field authorSurNameSort
Doc Value:  CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Solr Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)

Comparing value for field investigator
Doc Value:  [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Solr Value: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]

Comparing value for field site
Doc Value:  [Australia, Gulf of Carpentaria]
Solr Value: [Australia, Gulf of Carpentaria]

Comparing value for field geohash_1
Doc Value:  [r]
Solr Value: [r]

Comparing value for field geohash_2
Doc Value:  [rj]
Solr Value: [rj]

Comparing value for field geohash_3
Doc Value:  [rjs]
Solr Value: [rjs]

Comparing value for field geohash_4
Doc Value:  [rjsz]
Solr Value: [rjsz]

Comparing value for field geohash_5
Doc Value:  [rjsz3]
Solr Value: [rjsz3]

Comparing value for field geohash_6
Doc Value:  [rjsz3w]
Solr Value: [rjsz3w]

Comparing value for field geohash_7
Doc Value:  [rjsz3wg]
Solr Value: [rjsz3wg]

Comparing value for field geohash_8
Doc Value:  [rjsz3wgj]
Solr Value: [rjsz3wgj]

Comparing value for field geohash_9
Doc Value:  [rjsz3wgjy]
Solr Value: [rjsz3wgjy]

Comparing value for field id
Doc Value:  www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns

Comparing value for field formatId
Doc Value:  FGDC-STD-001.1-1999
Solr Value: FGDC-STD-001.1-1999

Comparing value for field formatType
Doc Value:  METADATA
Solr Value: METADATA

Comparing value for field size
Doc Value:  9008
Solr Value: 9008

Comparing value for field checksum
Doc Value:  86bc6417ef29b6fbd279160699044e5e
Solr Value: 86bc6417ef29b6fbd279160699044e5e

Comparing value for field submitter
Doc Value:  CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org
Solr Value: CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org

Comparing value for field checksumAlgorithm
Doc Value:  MD5
Solr Value: MD5

Comparing value for field rightsHolder
Doc Value:  CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org
Solr Value: CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org

Comparing value for field replicationAllowed
Doc Value:  true
Solr Value: true

Comparing value for field numberReplicas
Doc Value:  3
Solr Value: 3

Comparing value for field obsoletes
Doc Value:  csiro_c_abayadultprawns
Solr Value: csiro_c_abayadultprawns

Comparing value for field obsoletedBy
Doc Value:  csiro_e_abayadultprawns
Solr Value: csiro_e_abayadultprawns

Comparing value for field dateUploaded
Doc Value:  Thu Mar 22 13:55:48 EET 2012
Solr Value: Thu Mar 22 13:55:48 EET 2012

Comparing value for field dateModified
Doc Value:  Thu Mar 22 13:55:48 EET 2012
Solr Value: Thu Mar 22 13:55:48 EET 2012

Comparing value for field datasource
Doc Value:  test_documents
Solr Value: test_documents

Comparing value for field authoritativeMN
Doc Value:  test_documents
Solr Value: test_documents

Comparing value for field readPermission
Doc Value:  [public]
Solr Value: [public]

Comparing value for field writePermission
Doc Value:  [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Solr Value: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]

Comparing value for field isPublic
Doc Value:  true
Solr Value: true

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns

Comparing value for field abstract
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field beginDate
Doc Value:  Tue Jul 01 03:00:00 EEST 2014
Solr Value: Tue Jul 01 03:00:00 EEST 2014

Comparing value for field contactOrganization
Doc Value:  [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]

Comparing value for field eastBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field westBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field northBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field southBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field endDate
Doc Value:  Fri Aug 01 03:00:00 EEST 2014
Solr Value: Fri Aug 01 03:00:00 EEST 2014

Comparing value for field keywords
Doc Value:  [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field geoform
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field origin
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field placeKey
Doc Value:  [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field pubDate
Doc Value:  Mon Aug 04 03:00:00 EEST 2014
Solr Value: Mon Aug 04 03:00:00 EEST 2014

Comparing value for field purpose
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field title
Doc Value:  SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)

Comparing value for field webUrl
Doc Value:  [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field text
Doc Value:  Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field presentationCat
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field author
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurName
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurNameSort
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field investigator
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field attributeName
Doc Value:  [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]

Comparing value for field attributeDescription
Doc Value:  [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]

Comparing value for field attributeUnit
Doc Value:  [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]

Comparing value for field attribute
Doc Value:  [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]
Solr Value: [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9w]
Solr Value: [9w]

Comparing value for field geohash_3
Doc Value:  [9wk]
Solr Value: [9wk]

Comparing value for field geohash_4
Doc Value:  [9wkt]
Solr Value: [9wkt]

Comparing value for field geohash_5
Doc Value:  [9wkt6]
Solr Value: [9wkt6]

Comparing value for field geohash_6
Doc Value:  [9wkt6b]
Solr Value: [9wkt6b]

Comparing value for field geohash_7
Doc Value:  [9wkt6bb]
Solr Value: [9wkt6bb]

Comparing value for field geohash_8
Doc Value:  [9wkt6bb8]
Solr Value: [9wkt6bb8]

Comparing value for field geohash_9
Doc Value:  [9wkt6bb8x]
Solr Value: [9wkt6bb8x]

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field abstract
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field beginDate
Doc Value:  Tue Jul 01 03:00:00 EEST 2014
Solr Value: Tue Jul 01 03:00:00 EEST 2014

Comparing value for field contactOrganization
Doc Value:  [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]

Comparing value for field eastBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field westBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field northBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field southBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field endDate
Doc Value:  Fri Aug 01 03:00:00 EEST 2014
Solr Value: Fri Aug 01 03:00:00 EEST 2014

Comparing value for field keywords
Doc Value:  [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field geoform
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field origin
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field placeKey
Doc Value:  [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field pubDate
Doc Value:  Mon Aug 04 03:00:00 EEST 2014
Solr Value: Mon Aug 04 03:00:00 EEST 2014

Comparing value for field purpose
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field title
Doc Value:  SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)

Comparing value for field webUrl
Doc Value:  [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field text
Doc Value:  Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field presentationCat
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field author
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurName
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurNameSort
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field investigator
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field attributeName
Doc Value:  [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]

Comparing value for field attributeDescription
Doc Value:  [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]

Comparing value for field attributeUnit
Doc Value:  [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]

Comparing value for field attribute
Doc Value:  [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]
Solr Value: [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9w]
Solr Value: [9w]

Comparing value for field geohash_3
Doc Value:  [9wk]
Solr Value: [9wk]

Comparing value for field geohash_4
Doc Value:  [9wkt]
Solr Value: [9wkt]

Comparing value for field geohash_5
Doc Value:  [9wkt6]
Solr Value: [9wkt6]

Comparing value for field geohash_6
Doc Value:  [9wkt6b]
Solr Value: [9wkt6b]

Comparing value for field geohash_7
Doc Value:  [9wkt6bb]
Solr Value: [9wkt6bb]

Comparing value for field geohash_8
Doc Value:  [9wkt6bb8]
Solr Value: [9wkt6bb8]

Comparing value for field geohash_9
Doc Value:  [9wkt6bb8x]
Solr Value: [9wkt6bb8x]

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field abstract
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field beginDate
Doc Value:  Tue Jul 01 03:00:00 EEST 2014
Solr Value: Tue Jul 01 03:00:00 EEST 2014

Comparing value for field contactOrganization
Doc Value:  [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]

Comparing value for field eastBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field westBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field northBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field southBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field endDate
Doc Value:  Fri Aug 01 03:00:00 EEST 2014
Solr Value: Fri Aug 01 03:00:00 EEST 2014

Comparing value for field keywords
Doc Value:  [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field geoform
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field origin
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field placeKey
Doc Value:  [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field pubDate
Doc Value:  Mon Aug 04 03:00:00 EEST 2014
Solr Value: Mon Aug 04 03:00:00 EEST 2014

Comparing value for field purpose
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field title
Doc Value:  SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)

Comparing value for field webUrl
Doc Value:  [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field text
Doc Value:  Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field presentationCat
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field author
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurName
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurNameSort
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field investigator
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field attributeName
Doc Value:  [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]

Comparing value for field attributeDescription
Doc Value:  [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]

Comparing value for field attributeUnit
Doc Value:  [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]

Comparing value for field attribute
Doc Value:  [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]
Solr Value: [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9w]
Solr Value: [9w]

Comparing value for field geohash_3
Doc Value:  [9wk]
Solr Value: [9wk]

Comparing value for field geohash_4
Doc Value:  [9wkt]
Solr Value: [9wkt]

Comparing value for field geohash_5
Doc Value:  [9wkt6]
Solr Value: [9wkt6]

Comparing value for field geohash_6
Doc Value:  [9wkt6b]
Solr Value: [9wkt6b]

Comparing value for field geohash_7
Doc Value:  [9wkt6bb]
Solr Value: [9wkt6bb]

Comparing value for field geohash_8
Doc Value:  [9wkt6bb8]
Solr Value: [9wkt6bb8]

Comparing value for field geohash_9
Doc Value:  [9wkt6bb8x]
Solr Value: [9wkt6bb8x]

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field abstract
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field beginDate
Doc Value:  Tue Jul 01 03:00:00 EEST 2014
Solr Value: Tue Jul 01 03:00:00 EEST 2014

Comparing value for field contactOrganization
Doc Value:  [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]

Comparing value for field eastBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field westBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field northBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field southBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field endDate
Doc Value:  Fri Aug 01 03:00:00 EEST 2014
Solr Value: Fri Aug 01 03:00:00 EEST 2014

Comparing value for field keywords
Doc Value:  [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field geoform
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field origin
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field placeKey
Doc Value:  [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field pubDate
Doc Value:  Mon Aug 04 03:00:00 EEST 2014
Solr Value: Mon Aug 04 03:00:00 EEST 2014

Comparing value for field purpose
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field title
Doc Value:  SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)

Comparing value for field webUrl
Doc Value:  [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field text
Doc Value:  Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field presentationCat
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field author
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurName
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurNameSort
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field investigator
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field attributeName
Doc Value:  [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]

Comparing value for field attributeDescription
Doc Value:  [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]

Comparing value for field attributeUnit
Doc Value:  [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]

Comparing value for field attribute
Doc Value:  [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]
Solr Value: [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9w]
Solr Value: [9w]

Comparing value for field geohash_3
Doc Value:  [9wk]
Solr Value: [9wk]

Comparing value for field geohash_4
Doc Value:  [9wkt]
Solr Value: [9wkt]

Comparing value for field geohash_5
Doc Value:  [9wkt6]
Solr Value: [9wkt6]

Comparing value for field geohash_6
Doc Value:  [9wkt6b]
Solr Value: [9wkt6b]

Comparing value for field geohash_7
Doc Value:  [9wkt6bb]
Solr Value: [9wkt6bb]

Comparing value for field geohash_8
Doc Value:  [9wkt6bb8]
Solr Value: [9wkt6bb8]

Comparing value for field geohash_9
Doc Value:  [9wkt6bb8x]
Solr Value: [9wkt6bb8x]

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field abstract
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field beginDate
Doc Value:  Tue Jul 01 03:00:00 EEST 2014
Solr Value: Tue Jul 01 03:00:00 EEST 2014

Comparing value for field contactOrganization
Doc Value:  [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]

Comparing value for field eastBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field westBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field northBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field southBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field endDate
Doc Value:  Fri Aug 01 03:00:00 EEST 2014
Solr Value: Fri Aug 01 03:00:00 EEST 2014

Comparing value for field keywords
Doc Value:  [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field geoform
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field origin
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field placeKey
Doc Value:  [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field pubDate
Doc Value:  Mon Aug 04 03:00:00 EEST 2014
Solr Value: Mon Aug 04 03:00:00 EEST 2014

Comparing value for field purpose
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field title
Doc Value:  SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)

Comparing value for field webUrl
Doc Value:  [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field text
Doc Value:  Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field presentationCat
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field author
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurName
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurNameSort
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field investigator
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field attributeName
Doc Value:  [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]

Comparing value for field attributeDescription
Doc Value:  [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]

Comparing value for field attributeUnit
Doc Value:  [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]

Comparing value for field attribute
Doc Value:  [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]
Solr Value: [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9w]
Solr Value: [9w]

Comparing value for field geohash_3
Doc Value:  [9wk]
Solr Value: [9wk]

Comparing value for field geohash_4
Doc Value:  [9wkt]
Solr Value: [9wkt]

Comparing value for field geohash_5
Doc Value:  [9wkt6]
Solr Value: [9wkt6]

Comparing value for field geohash_6
Doc Value:  [9wkt6b]
Solr Value: [9wkt6b]

Comparing value for field geohash_7
Doc Value:  [9wkt6bb]
Solr Value: [9wkt6bb]

Comparing value for field geohash_8
Doc Value:  [9wkt6bb8]
Solr Value: [9wkt6bb8]

Comparing value for field geohash_9
Doc Value:  [9wkt6bb8x]
Solr Value: [9wkt6bb8x]

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field abstract
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field beginDate
Doc Value:  Tue Jul 01 03:00:00 EEST 2014
Solr Value: Tue Jul 01 03:00:00 EEST 2014

Comparing value for field contactOrganization
Doc Value:  [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]

Comparing value for field eastBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field westBoundCoord
Doc Value:  -106.05
Solr Value: -106.05

Comparing value for field northBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field southBoundCoord
Doc Value:  36.083332
Solr Value: 36.083332

Comparing value for field endDate
Doc Value:  Fri Aug 01 03:00:00 EEST 2014
Solr Value: Fri Aug 01 03:00:00 EEST 2014

Comparing value for field keywords
Doc Value:  [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field geoform
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field origin
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field placeKey
Doc Value:  [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]

Comparing value for field pubDate
Doc Value:  Mon Aug 04 03:00:00 EEST 2014
Solr Value: Mon Aug 04 03:00:00 EEST 2014

Comparing value for field purpose
Doc Value:  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.

Comparing value for field title
Doc Value:  SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)

Comparing value for field webUrl
Doc Value:  [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field text
Doc Value:  Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service  20140804  SCAN Alcalde, NM (July, 2014)  vector digital data  http://nmepscor.org/dataportal  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml  http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml     The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
                moisture and climate information system designed to provide data to support natural
                resource assessments and conservation activities. Administered by the United States
                Department of Agriculture Natural Resources Conservation Service (NRCS) through the
                National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
                Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
                temperature and soil moisture content at several depths, soil water level, air
                temperature, relative humidity, solar radiation, wind, precipitation, barometric
                pressure, and more.  Funding for this SCAN station was provided by EPSCoR. These data are 
                made available through New Mexico's Experimental Program to
                Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
                to data generated by and of use to the EPSCoR community including researchers,
                educators, and policy leaders, as well as the general public.
                http://www.wcc.nrcs.usda.gov/scan/      20140701  010000  20140801    Ground Condition    Complete  Unknown     -106.05  -106.05  36.0833333333  36.0833333333      ISO 19115 Topic Categories  climatologyMeteorologyAtmosphere    http://www.wcc.nrcs.usda.gov/scan/  precipitation  air temperature  relative humidity  solar radiation  barometric pressure  snow water content  snow depth  soil moisture  soil temperature    EPSCoR Project  EPSCoR Tract 3    Spatial Reference System Identifiers  EPSG:4269  EPSG:7019    http://www.wcc.nrcs.usda.gov/scan/  NM  Rio Arriba  Alcalde    None  None     Tony Tolsdorf  National Water and Climate Center   Monitoring Branch Leader   Mailing address  1201 NE Lloyd Blvd., Suite 802  Portland  OR  97232-1274   503-414-3006  tony.tolsdorf@por.usda.gov    Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
            9.3.1.3000    Not provided  Not provided    Create the shapefiles using the provided lat/lon from the NRCS, one per
                    station using an Arcpy script. Download the CSV data for each station, each
                    year, each month from the station's Reporting Since date.  20140804     Earth Data Analysis Center   Clearinghouse Manager   mailing address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  8am to 5pm MT, M-F        Rio Arriba County, NM  Vector    Point  744        0.00000001  0.00000001  Decimal degrees    North American Datum of 1983  Geodetic Reference System 80  6378137.000000  298.257222        SCAN  Soil, Climate, Analysis, Network (SCAN)  http://www.wcc.nrcs.usda.gov/scan/    FID  Internal feature number.  ESRI   Sequential unique whole numbers that are automatically generated.     Shape  Feature geometry.  ESRI   Coordinates defining the features.     site_id  NRCS Internal Site Number  NRCS   NRCS Internal Site Number     date  Date  NRCS   Date     time  Time (Pacific Standard Time)  NRCS   Time (Pacific Standard Time)     preci_1  Precipitation Accumulated  NRCS    Unknown  Unknown  inches      tobsi_1  Air Temperature Observed  NRCS    Unknown  Unknown  degrees Celsius      tmaxh_1  Air Temperature Maximum  NRCS    Unknown  Unknown  degrees Celsius      tminh_1  Air Temperature Minimum  NRCS    Unknown  Unknown  degrees Celsius      tavgh_1  Air Temperature Average  NRCS    Unknown  Unknown  degrees Celsius      prcph_1  Precipitation Increment  NRCS    Unknown  Unknown  inches      smsi_1_2l  Soil Moisture Percent; Sensor Height -2in  NRCS    Unknown  Unknown  percent      smsi_1_4l  Soil Moisture Percent; Sensor Height -4in  NRCS    Unknown  Unknown  percent      smsi_1_8l  Soil Moisture Percent; Sensor Height -8in  NRCS    Unknown  Unknown  percent      smsi_1_20l  Soil Moisture Percent; Sensor Height -20in  NRCS    Unknown  Unknown  percent      smsi_1_40l  Soil Moisture Percent; Sensor Height -40in  NRCS    Unknown  Unknown  percent      stoi_1_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_1_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_2  Soil Temperature Observed; Sensor Height -2in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_4  Soil Temperature Observed; Sensor Height -4in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_8  Soil Temperature Observed; Sensor Height -8in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_20  Soil Temperature Observed; Sensor Height -20in  NRCS    Unknown  Unknown  degrees Celsius      stoi_2_40  Soil Temperature Observed; Sensor Height -40in  NRCS    Unknown  Unknown  degrees Celsius      sali_1_2  Salinity; Sensor Height -2in  NRCS    Unknown  Unknown  gram      sali_1_4  Salinity; Sensor Height -4in  NRCS    Unknown  Unknown  gram      sali_1_8  Salinity; Sensor Height -8in  NRCS    Unknown  Unknown  gram      sali_1_20  Salinity; Sensor Height -20in  NRCS    Unknown  Unknown  gram      sali_1_40  Salinity; Sensor Height -40in  NRCS    Unknown  Unknown  gram      rdci_1_2  Real Dielectric Constant; Sensor Height -2in  NRCS    Unknown  Unknown  unitless      rdci_1_4  Real Dielectric Constant; Sensor Height -4in  NRCS    Unknown  Unknown  unitless      rdci_1_8  Real Dielectric Constant; Sensor Height -8in  NRCS    Unknown  Unknown  unitless      rdci_1_20  Real Dielectric Constant; Sensor Height -20in  NRCS    Unknown  Unknown  unitless      rdci_1_40  Real Dielectric Constant; Sensor Height -40in  NRCS    Unknown  Unknown  unitless      batti_1  Battery Voltage  NRCS    Unknown  Unknown  volt      batti_2  Battery Voltage  NRCS    Unknown  Unknown  volt      wdirvh_1  Wind Direction Average  NRCS    Unknown  Unknown  degrees      wspdxh_1mx  Wind Speed Maximum  NRCS    Unknown  Unknown  mph      wspdvh1  Wind Speed Average  NRCS    Unknown  Unknown  mph      rhumi_1  Relative Humidity; Vaisala  NRCS    Unknown  Unknown  percent      presi_1  Barometric Pressure; Sampled 10 minutes  NRCS    Unknown  Unknown  inches      sradvh_1  Solar Radiation Average  NRCS    Unknown  Unknown  watt      dptph_1  Dew Point Temperature  NRCS    Unknown  Unknown  degrees Celsius      pvpvh_1  Vapor Pressure  NRCS    Unknown  Unknown  kPa      rhumnh_1  Relative Humidity Minimum  NRCS    Unknown  Unknown  percent      rhumxh_1  Relative Humidity Maximum  NRCS    Unknown  Unknown  percent           Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    Downloadable Data  The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.     ZIP  1       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      ESRI Shapefile (shp)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      KML  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      GeoJSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      JSON  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      Comma Separated Values (csv)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu      MS Excel format (xls)  5       http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls    Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org.     None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org).  Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu   Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu  Adequate computer capability is the only technical prerequisite for viewing data in digital form.    20150423     Earth Data Analysis Center   Clearinghouse Manager   mailing and physical address  MSC01 1110  1 University of New Mexico  Albuquerque  NM  87131-0001  USA   505-277-3622 ext. 230  505-277-3614  clearinghouse@edac.unm.edu  0800 - 1700 MT, M-F -7 hours GMT    FGDC Content Standards for Digital Geospatial Metadata  FGDC-STD-001-1998  local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field presentationCat
Doc Value:  vector digital data
Solr Value: vector digital data

Comparing value for field author
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurName
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field authorSurNameSort
Doc Value:  Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service

Comparing value for field investigator
Doc Value:  [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]

Comparing value for field attributeName
Doc Value:  [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]

Comparing value for field attributeDescription
Doc Value:  [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]

Comparing value for field attributeUnit
Doc Value:  [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]

Comparing value for field attribute
Doc Value:  [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]
Solr Value: [FID  Internal feature number., Shape  Feature geometry., site_id  NRCS Internal Site Number, date  Date, time  Time (Pacific Standard Time), preci_1  Precipitation Accumulated inches, tobsi_1  Air Temperature Observed degrees Celsius, tmaxh_1  Air Temperature Maximum degrees Celsius, tminh_1  Air Temperature Minimum degrees Celsius, tavgh_1  Air Temperature Average degrees Celsius, prcph_1  Precipitation Increment inches, smsi_1_2l  Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l  Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l  Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l  Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l  Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2  Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4  Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8  Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20  Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40  Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2  Salinity; Sensor Height -2in gram, sali_1_4  Salinity; Sensor Height -4in gram, sali_1_8  Salinity; Sensor Height -8in gram, sali_1_20  Salinity; Sensor Height -20in gram, sali_1_40  Salinity; Sensor Height -40in gram, rdci_1_2  Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4  Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8  Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20  Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40  Real Dielectric Constant; Sensor Height -40in unitless, batti_1  Battery Voltage volt, batti_2  Battery Voltage volt, wdirvh_1  Wind Direction Average degrees, wspdxh_1mx  Wind Speed Maximum mph, wspdvh1  Wind Speed Average mph, rhumi_1  Relative Humidity; Vaisala percent, presi_1  Barometric Pressure; Sampled 10 minutes inches, sradvh_1  Solar Radiation Average watt, dptph_1  Dew Point Temperature degrees Celsius, pvpvh_1  Vapor Pressure kPa, rhumnh_1  Relative Humidity Minimum percent, rhumxh_1  Relative Humidity Maximum percent]

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9w]
Solr Value: [9w]

Comparing value for field geohash_3
Doc Value:  [9wk]
Solr Value: [9wk]

Comparing value for field geohash_4
Doc Value:  [9wkt]
Solr Value: [9wkt]

Comparing value for field geohash_5
Doc Value:  [9wkt6]
Solr Value: [9wkt6]

Comparing value for field geohash_6
Doc Value:  [9wkt6b]
Solr Value: [9wkt6b]

Comparing value for field geohash_7
Doc Value:  [9wkt6bb]
Solr Value: [9wkt6bb]

Comparing value for field geohash_8
Doc Value:  [9wkt6bb8]
Solr Value: [9wkt6bb8]

Comparing value for field geohash_9
Doc Value:  [9wkt6bb8x]
Solr Value: [9wkt6bb8x]

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml

Comparing value for field abstract
Doc Value:  This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Solr Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.

Comparing value for field keywords
Doc Value:  [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Solr Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]

Comparing value for field title
Doc Value:  Augrabies falls National Park census data.
Solr Value: Augrabies falls National Park census data.

Comparing value for field southBoundCoord
Doc Value:  26.0
Solr Value: 26.0

Comparing value for field northBoundCoord
Doc Value:  26.0
Solr Value: 26.0

Comparing value for field westBoundCoord
Doc Value:  -120.31121
Solr Value: -120.31121

Comparing value for field eastBoundCoord
Doc Value:  -120.31121
Solr Value: -120.31121

Comparing value for field site
Doc Value:  [Agulhas falls national Park]
Solr Value: [Agulhas falls national Park]

Comparing value for field beginDate
Doc Value:  Thu Jan 01 00:00:00 EET 1998
Solr Value: Thu Jan 01 00:00:00 EET 1998

Comparing value for field endDate
Doc Value:  Fri Feb 13 00:00:00 EET 2004
Solr Value: Fri Feb 13 00:00:00 EET 2004

Comparing value for field author
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorSurName
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorSurNameSort
Doc Value:  SANParks
Solr Value: SANParks

Comparing value for field authorLastName
Doc Value:  [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]

Comparing value for field investigator
Doc Value:  [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]

Comparing value for field origin
Doc Value:  [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Solr Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]

Comparing value for field contactOrganization
Doc Value:  [SANParks, The Awesome Store]
Solr Value: [SANParks, The Awesome Store]

Comparing value for field genus
Doc Value:  [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Solr Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]

Comparing value for field species
Doc Value:  [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Solr Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]

Comparing value for field scientificName
Doc Value:  [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Solr Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]

Comparing value for field attributeName
Doc Value:  [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Solr Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]

Comparing value for field attributeDescription
Doc Value:  [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Solr Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]

Comparing value for field attributeUnit
Doc Value:  [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Solr Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]

Comparing value for field attribute
Doc Value:  [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]
Solr Value: [ID  The ID dimensionless, Lat S  Lat S dimensionless, Long E  Long E dimensionless, Date  The date, Stratum  Stratum dimensionless, Transect  Transect dimensionless, Species  The name of species, LatS  LatS dimensionless, LongE  LongE dimensionless, Total  The total dimensionless, Juvenile  Juvenile dimensionless, L/R  L/R dimensionless, Species  The name of species, Stratum  Stratum dimensionless, Date  The date, SumOfTotal  Sum of the total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless, Species  The name of species, Date  The date, SumOfTotal  The sum of total dimensionless, SumOfJuvenile  Sum of juvenile dimensionless]

Comparing value for field fileID
Doc Value:  https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4

Comparing value for field text
Doc Value:  Augrabies falls National Park census data.   SANParks    Garcia  Freddy   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa     Freeman  Gordon   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    The Awesome Store  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.   SANParks, South Africa  Augrabies Falls National Park,South Africa  Census data  EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature    Agulhas falls national Park   -120.311210  -120.311210  26.0  26.0       1998    2004-02-13       Genus  Antidorcas   Species  marsupialis  Hartmans Zebra     Genus  Cercopithecus   Species  aethiops  Vervet monkey     Genus  Diceros   Species  bicornis  Baboon     Genus  Equus   Species  hartmannae  Giraffe     Genus  Giraffa   Species  camelopardalis  Kudu     Genus  Oreotragus   Species  oreotragus  Gemsbok     Genus  Oryz   Species  gazella  Eland     Genus  Papio   Species  hamadryas     Genus  Taurotragus   Species  oryx  Black rhino     Genus  Tragelaphus   Species  strepsiceros  Klipspringer      1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless
Solr Value: Augrabies falls National Park census data.   SANParks    Garcia  Freddy   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa     Freeman  Gordon   SANParks  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    The Awesome Store  Regional Ecologists   Private Bag x402 Skukuza, 1350 South Africa    This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank.  This is a test.  If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.   SANParks, South Africa  Augrabies Falls National Park,South Africa  Census data  EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature    Agulhas falls national Park   -120.311210  -120.311210  26.0  26.0       1998    2004-02-13       Genus  Antidorcas   Species  marsupialis  Hartmans Zebra     Genus  Cercopithecus   Species  aethiops  Vervet monkey     Genus  Diceros   Species  bicornis  Baboon     Genus  Equus   Species  hartmannae  Giraffe     Genus  Giraffa   Species  camelopardalis  Kudu     Genus  Oreotragus   Species  oreotragus  Gemsbok     Genus  Oryz   Species  gazella  Eland     Genus  Papio   Species  hamadryas     Genus  Taurotragus   Species  oryx  Black rhino     Genus  Tragelaphus   Species  strepsiceros  Klipspringer      1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless

Comparing value for field geohash_1
Doc Value:  [9]
Solr Value: [9]

Comparing value for field geohash_2
Doc Value:  [9k]
Solr Value: [9k]

Comparing value for field geohash_3
Doc Value:  [9kd]
Solr Value: [9kd]

Comparing value for field geohash_4
Doc Value:  [9kd7]
Solr Value: [9kd7]

Comparing value for field geohash_5
Doc Value:  [9kd7y]
Solr Value: [9kd7y]

Comparing value for field geohash_6
Doc Value:  [9kd7ym]
Solr Value: [9kd7ym]

Comparing value for field geohash_7
Doc Value:  [9kd7ym0]
Solr Value: [9kd7ym0]

Comparing value for field geohash_8
Doc Value:  [9kd7ym0h]
Solr Value: [9kd7ym0h]

Comparing value for field geohash_9
Doc Value:  [9kd7ym0hc]
Solr Value: [9kd7ym0hc]

Comparing value for field isService
Doc Value:  false
Solr Value: false

Comparing value for field id
Doc Value:  peggym.130.4
Solr Value: peggym.130.4

Comparing value for field seriesId
Doc Value:  peggym.130
Solr Value: peggym.130

Comparing value for field formatId
Doc Value:  eml://ecoinformatics.org/eml-2.1.0
Solr Value: eml://ecoinformatics.org/eml-2.1.0

Comparing value for field formatType
Doc Value:  METADATA
Solr Value: METADATA

Comparing value for field size
Doc Value:  36281
Solr Value: 36281

Comparing value for field checksum
Doc Value:  24426711d5385a9ffa583a13d07af2502884932f
Solr Value: 24426711d5385a9ffa583a13d07af2502884932f

Comparing value for field submitter
Doc Value:  dataone_integration_test_user
Solr Value: dataone_integration_test_user

Comparing value for field checksumAlgorithm
Doc Value:  SHA-1
Solr Value: SHA-1

Comparing value for field rightsHolder
Doc Value:  dataone_integration_test_user
Solr Value: dataone_integration_test_user

Comparing value for field replicationAllowed
Doc Value:  true
Solr Value: true

Comparing value for field obsoletes
Doc Value:  peggym.130.3
Solr Value: peggym.130.3

Comparing value for field dateUploaded
Doc Value:  Wed Aug 31 15:59:50 EEST 2011
Solr Value: Wed Aug 31 15:59:50 EEST 2011

Comparing value for field dateModified
Doc Value:  Wed Aug 31 15:59:50 EEST 2011
Solr Value: Wed Aug 31 15:59:50 EEST 2011

Comparing value for field datasource
Doc Value:  test_documents
Solr Value: test_documents

Comparing value for field authoritativeMN
Doc Value:  test_documents
Solr Value: test_documents

Comparing value for field readPermission
Doc Value:  [public, dataone_public_user, dataone_test_user]
Solr Value: [public, dataone_public_user, dataone_test_user]

Comparing value for field writePermission
Doc Value:  [dataone_integration_test_user]
Solr Value: [dataone_integration_test_user]

Comparing value for field isPublic
Doc Value:  true
Solr Value: true

Comparing value for field dataUrl
Doc Value:  https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4

Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 7.272 sec - in org.dataone.cn.index.SolrIndexFieldTest
Running org.dataone.cn.index.SolrRangeQueryTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrRangeQueryTest_35235ABFBB0808D3-001/init-core-data-001
[ WARN] 2017-11-21 22:15:28,363 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:15:28,673 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:15:28,673 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:15:28,696 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:15:28,714 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.456 sec - in org.dataone.cn.index.SolrRangeQueryTest
Running org.dataone.cn.index.HazelcastClientFactoryTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.017 sec - in org.dataone.cn.index.HazelcastClientFactoryTest
Running org.dataone.cn.index.SolrFieldIsotc211Test
Compared fields for: rightsHolder
Expected values: [NODC]
Actual values:   [NODC]

Compared fields for: submitter
Expected values: [NODC]
Actual values:   [NODC]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:41.356Z]
Actual values:   [2015-05-08T01:47:41.356Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [ee5d7c92a8c3285f49a8f216f929f14c6b51d5a3]
Actual values:   [ee5d7c92a8c3285f49a8f216f929f14c6b51d5a3]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]
Actual values:   [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:NODC]
Actual values:   [urn:node:NODC]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L]

Compared fields for: dateModified
Expected values: [2015-05-08T01:47:41.391Z]
Actual values:   [2015-05-08T01:47:41.391Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values:   [SHA-1]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: [2]
Actual values:   [2]

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [22406]
Actual values:   [22406]

Compared fields for: datasource
Expected values: [urn:node:NODC]
Actual values:   [urn:node:NODC]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]
Actual values:   [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]

Compared fields for: serviceOutput
Expected values: [netCDF-3]
Actual values:   [netCDF-3]

Compared fields for: keywords
Expected values: [0046179, 0046210, 0046244, 0046274, 0046313, 0046344, 0046375, 0046406, 0046443, 0046470, 0046502, 0046532, 0046565, 0046592, 0046629, 0046659, 0046690, 0046720, 0046764, 0046794, 0046824, 0046856, 0046886, 0046913, 0046942, 0046972, 0047003, 0047033, 0047066, 0047096, 0047126, 0047155, 0047182, 0048372, 0048399, 0048429, 0048460, 0048488, 0048504, 0048550, 0048579, 0048608, 0048637, 0048668, 0048699, 0048740, 0048767, 0048793, 0048819, 0048847, 0048873, 0048904, 0048932, 0048961, 0048988, 0049016, 0049044, 0049072, 0049098, 0049126, 0049154, 0049178, 0049202, 0049230, 0049258, 0049286, 0049295, 0049338, 0049362, 0049388, 0049413, 0049445, 0049474, 0049531, 0049576, 0049605, 0049633, 0049663, 0049769, 0049796, 0049824, 0049851, 0049918, 0049945, 0049999, 0050026, 0050053, 0050080, 0050107, 0050134, 0050160, 0050183, 0050219, 0050249, 0050277, 0050300, 0050332, 0050359, 0050387, 0050413, 0050439, 0050461, 0050549, 0050572, 0050597, 0050623, 0050648, 0050718, 0050765, 0050829, 0050853, 0050878, 0050903, 0050928, 0050950, 0050990, 0051014, 0051039, 0051094, 0051119, 0051144, 0051169, 0051194, 0051216, 0051241, 0051266, 0051291, 0051316, 0051341, 0051366, 0051391, 0051418, 0051443, 0051470, 0051492, 0051521, 0051546, 0051575, 0051600, 0051627, 0051652, 0051677, 0051701, 0051726, 0051748, 0051773, 0051798, 0051996, 0052051, 0052084, 0052112, 0052139, 0052164, 0052189, 0052215, 0052238, 0052262, 0052286, 0052312, 0052335, 0052360, 0052386, 0052421, 0052446, 0052494, 0052518, 0052541, 0052566, 0052595, 0052616, 0052638, 0052668, 0052693, 0052718, 0052744, 0052787, 0052810, 0052833, 0052859, 0052889, 0052916, 0052943, 0052966, 0052999, 0053022, 0053084, 0053108, 0053128, 0053152, 0053176, 0053199, 0053232, 0053251, 0053295, 0053326, 0053348, 0053372, 0053396, 0053430, 0053454, 0053478, 0053512, 0053539, 0053565, 0053591, 0053618, 0053645, 0053678, 0053705, 0053733, 0053760, 0053790, 0053817, 0053842, 0053869, 0053895, 0053922, 0053948, 0053972, 0053996, 0054019, 0054045, 0054071, 0054100, 0054127, 0054161, 0054188, 0054338, 0054367, 0054398, 0054427, 0054455, 0054482, 0054518, 0054547, 0054579, 0054608, 0054637, 0054666, 0054694, 0054749, 0054793, 0054822, 0054914, 0054942, 0054993, 0055021, 0055052, 0055081, 0055117, 0055146, 0055178, 0055204, 0055231, 0055258, 0055315, 0055343, 0055428, 0055458, 0055488, 0055518, 0055548, 0055577, 0055607, 0055637, 0055668, 0055695, 0055725, 0055755, 0055852, 0055883, 0055912, 0055940, 0055968, 0055996, 0056024, 0056053, 0056085, 0056115, 0056146, 0056176, 0056225, 0056255, 0056287, 0056317, 0056348, 0056378, 0056412, 0056442, 0056470, 0056500, 0056527, 0056560, 0056590, 0056618, 0056645, 0056674, 0056703, 0056738, 0056767, 0056798, 0056827, 0056862, 0056891, 0056923, 0056952, 0056978, 0057004, 0057032, 0057059, 0057088, 0057117, 0057149, 0057178, 0057208, 0057237, 0057266, 0057295, 0057326, 0057355, 0057388, 0057417, 0057444, 0057480, 0057509, 0057538, 0057567, 0057599, 0057628, 0057670, 0057699, 0057727, 0057755, 0057881, 0057909, 0057939, 0057964, 0057989, 0058017, 0058047, 0058075, 0058109, 0058135, 0058163, 0058191, 0058220, 0058248, 0058280, 0058308, 0058336, 0058363, 0058389, 0058416, 0058447, 0058475, 0058505, 0058533, 0058561, 0058589, 0058617, 0058642, 0058669, 0058693, 0058720, 0058744, 0058768, 0058792, 0058818, 0058865, 0058889, 0058914, 0058938, 0058965, 0058992, 0059022, 0059049, 0059078, 0059105, 0059136, 0059162, 0059187, 0059209, 0059232, 0059257, 0059283, 0059308, 0059332, 0059367, 0059398, 0059425, 0059450, 0059475, 0059501, 0059528, 0059554, 0059584, 0059609, 0059635, 0059658, 0059681, 0059704, 0059717, 0059721, 0059727, 0059791, 0059792, 0059800, 0059804, 0059828, 0059833, 0060201, 0060228, 0060252, 0060275, 0060321, 0060344, 0060367, 0060416, 0060439, 0060462, 0060488, 0060514, 0060540, 0060566, 0060592, 0060616, 0060641, 0060666, 0060695, 0060720, 0060767, 0060791, 0060817, 0060841, 0060866, 0060891, 0060916, 0060940, 0060970, 0060996, 0061021, 0061051, 0061076, 0061102, 0061128, 0061159, 0061185, 0061214, 0061240, 0061268, 0061294, 0061320, 0061346, 0061373, 0061399, 0061428, 0061454, 0061481, 0061507, 0061533, 0061559, 0061592, 0061618, 0061644, 0061669, 0061695, 0061721, 0061758, 0061784, 0061811, 0061839, 0061865, 0061889, 0061913, 0061938, 0061962, 0061990, 0062014, 0062045, 0062069, 0062094, 0062118, 0062145, 0062170, 0062196, 0062220, 0062244, 0062267, 0062293, 0062317, 0062343, 0062367, 0062391, 0062415, 0062442, 0062476, 0062493, 0062521, 0062547, 0063068, 0063079, 0063090, 0063101, 0063111, 0063121, 0063131, 0063141, 0063151, 0063162, 0063173, 0063197, 0063209, 0063221, 0063233, 0063249, 0063277, 0063289, 0063304, 0063316, 0063328, 0063340, 0063352, 0063364, 0063376, 0063390, 0063402, 0063414, 0063436, 0063449, 0063462, 0063474, 0063487, 0063500, 0063513, 0063541, 0063554, 0063567, 0063589, 0063602, 0063619, 0063792, 0063839, 0063863, 0063908, 0063979, 0064188, 0064470, 0064678, 0065176, 0066694, 0073287, 0073288, 0073291, 0073294, 0087331, 0114635, 0114637, 0122474, SEA SURFACE TEMPERATURE, AVHRR-3, satellite data, NOAA-17 SATELLITE, NERC Earth Observation Data Acquisition and Analysis Service, US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center, Group for High Resolution Sea Surface Temperature (GHRSST), World-Wide Distribution, oceanography, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature > Bulk Sea Surface Temperature, Northeast Atlantic]
Actual values:   [0046179, 0046210, 0046244, 0046274, 0046313, 0046344, 0046375, 0046406, 0046443, 0046470, 0046502, 0046532, 0046565, 0046592, 0046629, 0046659, 0046690, 0046720, 0046764, 0046794, 0046824, 0046856, 0046886, 0046913, 0046942, 0046972, 0047003, 0047033, 0047066, 0047096, 0047126, 0047155, 0047182, 0048372, 0048399, 0048429, 0048460, 0048488, 0048504, 0048550, 0048579, 0048608, 0048637, 0048668, 0048699, 0048740, 0048767, 0048793, 0048819, 0048847, 0048873, 0048904, 0048932, 0048961, 0048988, 0049016, 0049044, 0049072, 0049098, 0049126, 0049154, 0049178, 0049202, 0049230, 0049258, 0049286, 0049295, 0049338, 0049362, 0049388, 0049413, 0049445, 0049474, 0049531, 0049576, 0049605, 0049633, 0049663, 0049769, 0049796, 0049824, 0049851, 0049918, 0049945, 0049999, 0050026, 0050053, 0050080, 0050107, 0050134, 0050160, 0050183, 0050219, 0050249, 0050277, 0050300, 0050332, 0050359, 0050387, 0050413, 0050439, 0050461, 0050549, 0050572, 0050597, 0050623, 0050648, 0050718, 0050765, 0050829, 0050853, 0050878, 0050903, 0050928, 0050950, 0050990, 0051014, 0051039, 0051094, 0051119, 0051144, 0051169, 0051194, 0051216, 0051241, 0051266, 0051291, 0051316, 0051341, 0051366, 0051391, 0051418, 0051443, 0051470, 0051492, 0051521, 0051546, 0051575, 0051600, 0051627, 0051652, 0051677, 0051701, 0051726, 0051748, 0051773, 0051798, 0051996, 0052051, 0052084, 0052112, 0052139, 0052164, 0052189, 0052215, 0052238, 0052262, 0052286, 0052312, 0052335, 0052360, 0052386, 0052421, 0052446, 0052494, 0052518, 0052541, 0052566, 0052595, 0052616, 0052638, 0052668, 0052693, 0052718, 0052744, 0052787, 0052810, 0052833, 0052859, 0052889, 0052916, 0052943, 0052966, 0052999, 0053022, 0053084, 0053108, 0053128, 0053152, 0053176, 0053199, 0053232, 0053251, 0053295, 0053326, 0053348, 0053372, 0053396, 0053430, 0053454, 0053478, 0053512, 0053539, 0053565, 0053591, 0053618, 0053645, 0053678, 0053705, 0053733, 0053760, 0053790, 0053817, 0053842, 0053869, 0053895, 0053922, 0053948, 0053972, 0053996, 0054019, 0054045, 0054071, 0054100, 0054127, 0054161, 0054188, 0054338, 0054367, 0054398, 0054427, 0054455, 0054482, 0054518, 0054547, 0054579, 0054608, 0054637, 0054666, 0054694, 0054749, 0054793, 0054822, 0054914, 0054942, 0054993, 0055021, 0055052, 0055081, 0055117, 0055146, 0055178, 0055204, 0055231, 0055258, 0055315, 0055343, 0055428, 0055458, 0055488, 0055518, 0055548, 0055577, 0055607, 0055637, 0055668, 0055695, 0055725, 0055755, 0055852, 0055883, 0055912, 0055940, 0055968, 0055996, 0056024, 0056053, 0056085, 0056115, 0056146, 0056176, 0056225, 0056255, 0056287, 0056317, 0056348, 0056378, 0056412, 0056442, 0056470, 0056500, 0056527, 0056560, 0056590, 0056618, 0056645, 0056674, 0056703, 0056738, 0056767, 0056798, 0056827, 0056862, 0056891, 0056923, 0056952, 0056978, 0057004, 0057032, 0057059, 0057088, 0057117, 0057149, 0057178, 0057208, 0057237, 0057266, 0057295, 0057326, 0057355, 0057388, 0057417, 0057444, 0057480, 0057509, 0057538, 0057567, 0057599, 0057628, 0057670, 0057699, 0057727, 0057755, 0057881, 0057909, 0057939, 0057964, 0057989, 0058017, 0058047, 0058075, 0058109, 0058135, 0058163, 0058191, 0058220, 0058248, 0058280, 0058308, 0058336, 0058363, 0058389, 0058416, 0058447, 0058475, 0058505, 0058533, 0058561, 0058589, 0058617, 0058642, 0058669, 0058693, 0058720, 0058744, 0058768, 0058792, 0058818, 0058865, 0058889, 0058914, 0058938, 0058965, 0058992, 0059022, 0059049, 0059078, 0059105, 0059136, 0059162, 0059187, 0059209, 0059232, 0059257, 0059283, 0059308, 0059332, 0059367, 0059398, 0059425, 0059450, 0059475, 0059501, 0059528, 0059554, 0059584, 0059609, 0059635, 0059658, 0059681, 0059704, 0059717, 0059721, 0059727, 0059791, 0059792, 0059800, 0059804, 0059828, 0059833, 0060201, 0060228, 0060252, 0060275, 0060321, 0060344, 0060367, 0060416, 0060439, 0060462, 0060488, 0060514, 0060540, 0060566, 0060592, 0060616, 0060641, 0060666, 0060695, 0060720, 0060767, 0060791, 0060817, 0060841, 0060866, 0060891, 0060916, 0060940, 0060970, 0060996, 0061021, 0061051, 0061076, 0061102, 0061128, 0061159, 0061185, 0061214, 0061240, 0061268, 0061294, 0061320, 0061346, 0061373, 0061399, 0061428, 0061454, 0061481, 0061507, 0061533, 0061559, 0061592, 0061618, 0061644, 0061669, 0061695, 0061721, 0061758, 0061784, 0061811, 0061839, 0061865, 0061889, 0061913, 0061938, 0061962, 0061990, 0062014, 0062045, 0062069, 0062094, 0062118, 0062145, 0062170, 0062196, 0062220, 0062244, 0062267, 0062293, 0062317, 0062343, 0062367, 0062391, 0062415, 0062442, 0062476, 0062493, 0062521, 0062547, 0063068, 0063079, 0063090, 0063101, 0063111, 0063121, 0063131, 0063141, 0063151, 0063162, 0063173, 0063197, 0063209, 0063221, 0063233, 0063249, 0063277, 0063289, 0063304, 0063316, 0063328, 0063340, 0063352, 0063364, 0063376, 0063390, 0063402, 0063414, 0063436, 0063449, 0063462, 0063474, 0063487, 0063500, 0063513, 0063541, 0063554, 0063567, 0063589, 0063602, 0063619, 0063792, 0063839, 0063863, 0063908, 0063979, 0064188, 0064470, 0064678, 0065176, 0066694, 0073287, 0073288, 0073291, 0073294, 0087331, 0114635, 0114637, 0122474, SEA SURFACE TEMPERATURE, AVHRR-3, satellite data, NOAA-17 SATELLITE, NERC Earth Observation Data Acquisition and Analysis Service, US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center, Group for High Resolution Sea Surface Temperature (GHRSST), World-Wide Distribution, oceanography, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature > Bulk Sea Surface Temperature, Northeast Atlantic]

Compared fields for: endDate
Expected values: [2010-05-18T00:00:00.000Z]
Actual values:   [2010-05-18T00:00:00.000Z]

Compared fields for: authorSurName
Expected values: [Peter Miller]
Actual values:   [Peter Miller]

Compared fields for: origin
Expected values: [NEODAAS]
Actual values:   [NEODAAS]

Compared fields for: serviceEndpoint
Expected values: [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/]
Actual values:   [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/]

Compared fields for: title
Expected values: [GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)]
Actual values:   [GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)]

Compared fields for: northBoundCoord
Expected values: [90]
Actual values:   [90]

Compared fields for: investigator
Expected values: [Peter Miller, Edward M. Armstrong, NEODAAS]
Actual values:   [Peter Miller, Edward M. Armstrong, NEODAAS]

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: [-60]
Actual values:   [-60]

Compared fields for: authorSurNameSort
Expected values: [Peter Miller]
Actual values:   [Peter Miller]

Compared fields for: text
Expected values: [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L    eng    utf8    series      US National Oceanographic Data Center    Data Officer        301-713-3272    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        custodian        Peter Miller    NEODAAS > NERC Earth Observation Data Acquisition and Analysis Service    Technical Contact        +44 1752 633485    +44 1752 633101        info@nospam.neodaas.ac.uk      Phone/FAX/E-mail      pointOfContact      2015-02-04T21:33:10    ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)      2      column     1.1        row     1.1      area    true          GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)    Sea surface temperature from AVHRR      2014-10-02    publication      1        NODC Collection Identifier       US National Oceanographic Data Center    resourceProvider        gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L        US National Oceanographic Data Center        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        publisher        Edward M. Armstrong    US NASA; Jet Propulsion Laboratory        (818) 393-6710        MS 300/320 4800 Oak Grove Drive    Pasadena    CA    91109    USA    edward.m.armstrong@jpl.nasa.gov        resourceProvider        US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center        626-744-5508        4800 Oak Grove Drive    Pasadena    CA    91109    USA    podaac@podaac.jpl.nasa.gov        http://podaac.jpl.nasa.gov/index.html    HTTP    Standard Internet browser    NASA Jet Propulsion Laboratory PO DAAC website    Institution web page    information        resourceProvider        NERC Earth Observation Data Acquisition and Analysis Service        +44 1752 633485        Plymouth Marine Laboratory Prospect Place    Plymouth    Devon    PL1 3DH    GBR    info@neodaas.ac.uk        http://www.neodaas.ac.uk/    HTTP    Standard Internet browser    NEODAAS website    Institution web page    information        originator      tableDigital      A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.    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 0073294    0087331    0114635    0114637    0122474      NODC ACCESSION NUMBER      2014-10-02    publication            SEA SURFACE TEMPERATURE    theme      NODC DATA TYPES THESAURUS           AVHRR-3    instrument      NODC INSTRUMENT TYPES THESAURUS           satellite data    theme      NODC OBSERVATION TYPES THESAURUS           NOAA-17 SATELLITE    platform      NODC PLATFORM NAMES THESAURUS           NERC Earth Observation Data Acquisition and Analysis Service    dataCenter      NODC COLLECTING INSTITUTION NAMES THESAURUS           US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center    dataCenter      NODC SUBMITTING INSTITUTION NAMES THESAURUS           Group for High Resolution Sea Surface Temperature (GHRSST)    project      NODC PROJECT NAMES THESAURUS           World-Wide Distribution    place      NODC SEA AREA NAMES THESAURUS           oceanography    theme      WMO_CategoryCode      2012-09-15    publication            Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature > Bulk Sea Surface Temperature    theme      NASA/GCMD Earth Science Keywords     Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0          Northeast Atlantic    place      NASA/GCMD Location Keywords     Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0          Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data.    accessLevel: Public        otherRestrictions    Cite as: NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) (2008). GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1). National Oceanographic Data Center, NOAA. Dataset.  [access date]        otherRestrictions    None          GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS    Sea surface temperature from AVHRR      20080526    creation      1      NEODAAS        http://www.neodaas.ac.uk/faq/        originator        NEODAAS        NERC Earth Observation Data Acquisition and Analysis Service, UK        publisher        collection    userGuide          Portal to the GHRSST Global Data Assembly Center and data access       Group for High Resolution Sea Surface Temperature        http://ghrsst.jpl.nasa.gov    HTTP    Standard Internet browser    Portal to the GHRSST Global Data Assembly Center and data access    Portal to the GHRSST Global Data Assembly Center and data access        custodian        crossReference    collection          GHRSST Project homepage       Group for High Resolution Sea Surface Temperature        http://www.ghrsst.org    HTTP    Standard Internet browser    GHRSST Project homepage    GHRSST Project homepage        custodian        crossReference    collection          Web Service (PO.DAAC Labs) (Search Granule)       Group for High Resolution Sea Surface Temperature        http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GH17L-2PS01&apidoc    HTTP    Standard Internet browser    Web Service (PO.DAAC Labs)    (Search Granule)        custodian        crossReference    collection      grid    eng    utf8    oceans    environment    biota    climatologyMeteorologyAtmosphere        -60    60    24    90         2008-09-02  2010-05-18                 referenceInformation        lat      float              lon      float              time      int                  US National Oceanographic Data Center    NODC User Services        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.Services@noaa.gov      8:30-6:00 PM, EST      pointOfContact        Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees.    Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record.        netCDF    netCDF-3    BZIP2          http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage    HTTP    Standard Internet browser    Granule Search    Granule Search    search            http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L    HTTP    Standard Internet browser    Details    Navigate directly to the URL for a descriptive web page with download links.    information            http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/    THREDDS    Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations.    THREDDS    These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.    download            http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/    DAP    Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations.    OPeNDAP    These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.    download            http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/    HTTP    Standard Internet browser    Download    Navigate directly to the URL for data access and direct download.    download            ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/    FTP    Any FTP client    FTP    These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data.    download              asNeeded    Combined metadata from JPL and NODC      DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce    custodian              AVHRR-3 > Advanced Very High Resolution Radiometer-3      sensor    The AVHRR is a radiation-detection imager that can be used for remotely determining cloud cover and the surface temperature. Note that the term surface can mean the surface of the Earth, the upper surfaces of clouds, or the surface of a body of water.          NOAA-17 > National Oceanic & Atmospheric Administration-17      The POES satellite system offers the advantage of daily global coverage, with morning and afternoon orbits that deliver global data, for improvement of weather forecasting. The information received includes cloud cover, storm location, temperature, and heat balance in the earth's atmosphere.      NEODAAS        http://www.neodaas.ac.uk/faq/        sponsor        NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA        http://podaac.jpl.nasa.gov    information        sponsor gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]
Actual values:   [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L    eng    utf8    series      US National Oceanographic Data Center    Data Officer        301-713-3272    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        custodian        Peter Miller    NEODAAS > NERC Earth Observation Data Acquisition and Analysis Service    Technical Contact        +44 1752 633485    +44 1752 633101        info@nospam.neodaas.ac.uk      Phone/FAX/E-mail      pointOfContact      2015-02-04T21:33:10    ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)      2      column     1.1        row     1.1      area    true          GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)    Sea surface temperature from AVHRR      2014-10-02    publication      1        NODC Collection Identifier       US National Oceanographic Data Center    resourceProvider        gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L        US National Oceanographic Data Center        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        publisher        Edward M. Armstrong    US NASA; Jet Propulsion Laboratory        (818) 393-6710        MS 300/320 4800 Oak Grove Drive    Pasadena    CA    91109    USA    edward.m.armstrong@jpl.nasa.gov        resourceProvider        US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center        626-744-5508        4800 Oak Grove Drive    Pasadena    CA    91109    USA    podaac@podaac.jpl.nasa.gov        http://podaac.jpl.nasa.gov/index.html    HTTP    Standard Internet browser    NASA Jet Propulsion Laboratory PO DAAC website    Institution web page    information        resourceProvider        NERC Earth Observation Data Acquisition and Analysis Service        +44 1752 633485        Plymouth Marine Laboratory Prospect Place    Plymouth    Devon    PL1 3DH    GBR    info@neodaas.ac.uk        http://www.neodaas.ac.uk/    HTTP    Standard Internet browser    NEODAAS website    Institution web page    information        originator      tableDigital      A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.    BASIC RESEARCH    Processed by Panorama at PML    onGoing      US National Oceanographic Data Center    NODC User Services        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.Services@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information      8:30-6:00 PM, EST      pointOfContact        Peter Miller    NEODAAS > NERC Earth Observation Data Acquisition and Analysis Service        +44 1752 633485    +44 1752 633101        info@nospam.neodaas.ac.uk        http://www.neodaas.ac.uk/faq/        pointOfContact        asNeeded        http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L    Preview graphic    PNG        0046179    0046210    0046244    0046274    0046313    0046344    0046375   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 0073294    0087331    0114635    0114637    0122474      NODC ACCESSION NUMBER      2014-10-02    publication            SEA SURFACE TEMPERATURE    theme      NODC DATA TYPES THESAURUS           AVHRR-3    instrument      NODC INSTRUMENT TYPES THESAURUS           satellite data    theme      NODC OBSERVATION TYPES THESAURUS           NOAA-17 SATELLITE    platform      NODC PLATFORM NAMES THESAURUS           NERC Earth Observation Data Acquisition and Analysis Service    dataCenter      NODC COLLECTING INSTITUTION NAMES THESAURUS           US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center    dataCenter      NODC SUBMITTING INSTITUTION NAMES THESAURUS           Group for High Resolution Sea Surface Temperature (GHRSST)    project      NODC PROJECT NAMES THESAURUS           World-Wide Distribution    place      NODC SEA AREA NAMES THESAURUS           oceanography    theme      WMO_CategoryCode      2012-09-15    publication            Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature > Bulk Sea Surface Temperature    theme      NASA/GCMD Earth Science Keywords     Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0          Northeast Atlantic    place      NASA/GCMD Location Keywords     Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0          Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data.    accessLevel: Public        otherRestrictions    Cite as: NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) (2008). GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1). National Oceanographic Data Center, NOAA. Dataset.  [access date]        otherRestrictions    None          GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS    Sea surface temperature from AVHRR      20080526    creation      1      NEODAAS        http://www.neodaas.ac.uk/faq/        originator        NEODAAS        NERC Earth Observation Data Acquisition and Analysis Service, UK        publisher        collection    userGuide          Portal to the GHRSST Global Data Assembly Center and data access       Group for High Resolution Sea Surface Temperature        http://ghrsst.jpl.nasa.gov    HTTP    Standard Internet browser    Portal to the GHRSST Global Data Assembly Center and data access    Portal to the GHRSST Global Data Assembly Center and data access        custodian        crossReference    collection          GHRSST Project homepage       Group for High Resolution Sea Surface Temperature        http://www.ghrsst.org    HTTP    Standard Internet browser    GHRSST Project homepage    GHRSST Project homepage        custodian        crossReference    collection          Web Service (PO.DAAC Labs) (Search Granule)       Group for High Resolution Sea Surface Temperature        http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GH17L-2PS01&apidoc    HTTP    Standard Internet browser    Web Service (PO.DAAC Labs)    (Search Granule)        custodian        crossReference    collection      grid    eng    utf8    oceans    environment    biota    climatologyMeteorologyAtmosphere        -60    60    24    90         2008-09-02  2010-05-18                 referenceInformation        lat      float              lon      float              time      int                  US National Oceanographic Data Center    NODC User Services        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.Services@noaa.gov      8:30-6:00 PM, EST      pointOfContact        Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees.    Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record.        netCDF    netCDF-3    BZIP2          http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage    HTTP    Standard Internet browser    Granule Search    Granule Search    search            http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L    HTTP    Standard Internet browser    Details    Navigate directly to the URL for a descriptive web page with download links.    information            http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/    THREDDS    Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations.    THREDDS    These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.    download            http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/    DAP    Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations.    OPeNDAP    These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.    download            http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/    HTTP    Standard Internet browser    Download    Navigate directly to the URL for data access and direct download.    download            ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/    FTP    Any FTP client    FTP    These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data.    download              asNeeded    Combined metadata from JPL and NODC      DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce    custodian              AVHRR-3 > Advanced Very High Resolution Radiometer-3      sensor    The AVHRR is a radiation-detection imager that can be used for remotely determining cloud cover and the surface temperature. Note that the term surface can mean the surface of the Earth, the upper surfaces of clouds, or the surface of a body of water.          NOAA-17 > National Oceanic & Atmospheric Administration-17      The POES satellite system offers the advantage of daily global coverage, with morning and afternoon orbits that deliver global data, for improvement of weather forecasting. The information received includes cloud cover, storm location, temperature, and heat balance in the earth's atmosphere.      NEODAAS        http://www.neodaas.ac.uk/faq/        sponsor        NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA        http://podaac.jpl.nasa.gov    information        sponsor gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]

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Expected values: [true]
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Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L]

Compared fields for: geohash_7
Expected values: [u40h208]
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Compared fields for: contactOrganization
Expected values: [US National Oceanographic Data Center]
Actual values:   [US National Oceanographic Data Center]

Compared fields for: geohash_6
Expected values: [u40h20]
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Compared fields for: geohash_5
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Compared fields for: geohash_4
Expected values: [u40h]
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Compared fields for: geohash_3
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Compared fields for: geohash_2
Expected values: [u4]
Actual values:   [u4]

Compared fields for: author
Expected values: [Peter Miller]
Actual values:   [Peter Miller]

Compared fields for: geohash_1
Expected values: [u]
Actual values:   [u]

Compared fields for: serviceInput
Expected values: []
Actual values:   []

Compared fields for: abstract
Expected values: [A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.]
Actual values:   [A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.]

Compared fields for: pubDate
Expected values: [2015-02-04T21:33:10.000Z]
Actual values:   [2015-02-04T21:33:10.000Z]

Compared fields for: geohash_9
Expected values: [u40h20810]
Actual values:   [u40h20810]

Compared fields for: geohash_8
Expected values: [u40h2081]
Actual values:   [u40h2081]

Compared fields for: beginDate
Expected values: [2008-09-02T00:00:00.000Z]
Actual values:   [2008-09-02T00:00:00.000Z]

Compared fields for: serviceTitle
Expected values: [Granule Search:Details:THREDDS:OPeNDAP:Download:FTP]
Actual values:   [Granule Search:Details:THREDDS:OPeNDAP:Download:FTP]

Compared fields for: serviceDescription
Expected values: [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data.]
Actual values:   [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data.]

Compared fields for: eastBoundCoord
Expected values: [60]
Actual values:   [60]

Compared fields for: southBoundCoord
Expected values: [24]
Actual values:   [24]

Compared fields for: rightsHolder
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values:   [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]

Compared fields for: submitter
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values:   [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:46.858Z]
Actual values:   [2015-05-08T01:47:46.858Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [037282cbe6fdfc99ed9f3b49a0ddb05d38e11704]
Actual values:   [037282cbe6fdfc99ed9f3b49a0ddb05d38e11704]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values:   [iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:IARC]
Actual values:   [urn:node:IARC]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]

Compared fields for: dateModified
Expected values: [2015-05-08T01:47:46.893Z]
Actual values:   [2015-05-08T01:47:46.893Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values:   [SHA-1]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: [3]
Actual values:   [3]

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [12917]
Actual values:   [12917]

Compared fields for: datasource
Expected values: [urn:node:IARC]
Actual values:   [urn:node:IARC]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: []
Actual values:   []

Compared fields for: serviceOutput
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [BEST, Bering sea, BSIERP]
Actual values:   [BEST, Bering sea, BSIERP]

Compared fields for: endDate
Expected values: [2010-12-31T10:44:00.000Z]
Actual values:   [2010-12-31T10:44:00.000Z]

Compared fields for: authorSurName
Expected values: [Jake Stroh]
Actual values:   [Jake Stroh]

Compared fields for: origin
Expected values: []
Actual values:   []

Compared fields for: serviceEndpoint
Expected values: [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private]
Actual values:   [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private]

Compared fields for: title
Expected values: [Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations]
Actual values:   [Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations]

Compared fields for: northBoundCoord
Expected values: [67]
Actual values:   [67]

Compared fields for: investigator
Expected values: [Jake Stroh]
Actual values:   [Jake Stroh]

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: [-180]
Actual values:   [-180]

Compared fields for: authorSurNameSort
Expected values: [Jake Stroh]
Actual values:   [Jake Stroh]

Compared fields for: text
Expected values: [8bd65007-f4b7-4b6e-8e71-05d7cf48a620    eng         Jake Stroh                                       jnstroh@alaska.edu             2014-03-04T10:48:09    ISO 19115:2003/19139    1.0        Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations      2014-02-21T10:40:00              The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002).      Jake Stroh    International Arctic Research Center                                    jnstroh@alaska.edu                         thumbnail           large_thumbnail        BEST           Bering sea           BSIERP               eng       geoscientificInformation         2007-01-01T10:43:00  2010-12-31T10:44:00             -180    -158    50    67                http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private    WWW:DOWNLOAD-1.0-http--download    best_bs_currents3-rev_final.pdf    Ocean Sciences meeting 2014 iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values:   [8bd65007-f4b7-4b6e-8e71-05d7cf48a620    eng         Jake Stroh                                       jnstroh@alaska.edu             2014-03-04T10:48:09    ISO 19115:2003/19139    1.0        Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations      2014-02-21T10:40:00              The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002).      Jake Stroh    International Arctic Research Center                                    jnstroh@alaska.edu                         thumbnail           large_thumbnail        BEST           Bering sea           BSIERP               eng       geoscientificInformation         2007-01-01T10:43:00  2010-12-31T10:44:00             -180    -158    50    67                http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private    WWW:DOWNLOAD-1.0-http--download    best_bs_currents3-rev_final.pdf    Ocean Sciences meeting 2014 iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]

Compared fields for: geohash_7
Expected values: [b4ruf39]
Actual values:   [b4ruf39]

Compared fields for: contactOrganization
Expected values: [International Arctic Research Center]
Actual values:   [International Arctic Research Center]

Compared fields for: geohash_6
Expected values: [b4ruf3]
Actual values:   [b4ruf3]

Compared fields for: geohash_5
Expected values: [b4ruf]
Actual values:   [b4ruf]

Compared fields for: geohash_4
Expected values: [b4ru]
Actual values:   [b4ru]

Compared fields for: geohash_3
Expected values: [b4r]
Actual values:   [b4r]

Compared fields for: geohash_2
Expected values: [b4]
Actual values:   [b4]

Compared fields for: author
Expected values: [Jake Stroh]
Actual values:   [Jake Stroh]

Compared fields for: geohash_1
Expected values: [b]
Actual values:   [b]

Compared fields for: serviceInput
Expected values: []
Actual values:   []

Compared fields for: abstract
Expected values: [The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002).]
Actual values:   [The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002).]

Compared fields for: pubDate
Expected values: [2014-03-04T10:48:09.000Z]
Actual values:   [2014-03-04T10:48:09.000Z]

Compared fields for: geohash_9
Expected values: [b4ruf39gn]
Actual values:   [b4ruf39gn]

Compared fields for: geohash_8
Expected values: [b4ruf39g]
Actual values:   [b4ruf39g]

Compared fields for: beginDate
Expected values: [2007-01-01T10:43:00.000Z]
Actual values:   [2007-01-01T10:43:00.000Z]

Compared fields for: serviceTitle
Expected values: []
Actual values:   []

Compared fields for: serviceDescription
Expected values: []
Actual values:   []

Compared fields for: eastBoundCoord
Expected values: [-158]
Actual values:   [-158]

Compared fields for: southBoundCoord
Expected values: [50]
Actual values:   [50]

Compared fields for: rightsHolder
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values:   [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]

Compared fields for: submitter
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values:   [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:41.356Z]
Actual values:   [2015-05-08T01:47:41.356Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [225d7c92a8c3285f49a8f216f929f14c6b51d5a3]
Actual values:   [225d7c92a8c3285f49a8f216f929f14c6b51d5a3]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values:   [iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:IARC]
Actual values:   [urn:node:IARC]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]

Compared fields for: dateModified
Expected values: [2015-05-08T01:47:41.391Z]
Actual values:   [2015-05-08T01:47:41.391Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values:   [SHA-1]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: [3]
Actual values:   [3]

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [15406]
Actual values:   [15406]

Compared fields for: datasource
Expected values: [urn:node:IARC]
Actual values:   [urn:node:IARC]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: []
Actual values:   []

Compared fields for: serviceOutput
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [Seward Peninsula, Alaska, Coast, Norton Bay, Candle, Aerial, Photography, Color, Infrared]
Actual values:   [Seward Peninsula, Alaska, Coast, Norton Bay, Candle, Aerial, Photography, Color, Infrared]

Compared fields for: endDate
Expected values: [1976-07-23T00:00:00.000Z]
Actual values:   [1976-07-23T00:00:00.000Z]

Compared fields for: authorSurName
Expected values: [Dr Jessica Cherry]
Actual values:   [Dr Jessica Cherry]

Compared fields for: origin
Expected values: []
Actual values:   []

Compared fields for: serviceEndpoint
Expected values: [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private]
Actual values:   [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private]

Compared fields for: title
Expected values: [National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29]
Actual values:   [National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29]

Compared fields for: northBoundCoord
Expected values: [65.07]
Actual values:   [65.07]

Compared fields for: investigator
Expected values: [Dr Jessica Cherry]
Actual values:   [Dr Jessica Cherry]

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: [-161.09]
Actual values:   [-161.09]

Compared fields for: authorSurNameSort
Expected values: [Dr Jessica Cherry]
Actual values:   [Dr Jessica Cherry]

Compared fields for: text
Expected values: [bcc7e1be-2683-433c-b351-bc061f35ceb8    eng       6a503c5a-78ae-434e-b76e-b2d2755b7aef      Dr Jessica Cherry              907-474-5730                          jcherry@iarc.uaf.edu             2011-12-08T15:38:44    ISO 19115:2003/19139    1.0        WGS 1984            National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29    Outer Continental Shelf Environmental Assesment Program      1976-07-23T00:00:00                 This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies.  It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet.  ECR prefix indicates color infrared, and CC/ZC indicates natural color.  It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula.  Flight lines include numbers 8-14 and 24-40.  There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab.    Photograph Alaskan coast line during 1976-1977 for comparison at later dates.            Dr Jessica Cherry    Water and Environmental Research Center, UAF           907-474-5730              Fairbanks    Alaska       United States of America    jcherry@iarc.uaf.edu                      Seward Peninsula    Alaska    Coast    Norton Bay    Candle           Aerial    Photography    Color    Infrared                         eng       imageryBaseMapsEarthCover         1976-07-23T00:00:00  1976-07-23T00:00:00             -161.09    -160.55    64.34    65.07        Seward Peninsula CoastlineFlight Line 29Color: Ungalik River - Kenwood CreekInfrared: Ungalik River - KoyukQuad: Norton Bay, Candle  1st Frame - Last FrameColor:     6539 - 6546Infrared: 5760 - 5770Altitude: 18000 feet          film    none          http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private    WWW:DOWNLOAD-1.0-http--download       This is not where this data is stored.  Please see Point of Contact for information. iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values:   [bcc7e1be-2683-433c-b351-bc061f35ceb8    eng       6a503c5a-78ae-434e-b76e-b2d2755b7aef      Dr Jessica Cherry              907-474-5730                          jcherry@iarc.uaf.edu             2011-12-08T15:38:44    ISO 19115:2003/19139    1.0        WGS 1984            National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29    Outer Continental Shelf Environmental Assesment Program      1976-07-23T00:00:00                 This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies.  It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet.  ECR prefix indicates color infrared, and CC/ZC indicates natural color.  It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula.  Flight lines include numbers 8-14 and 24-40.  There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab.    Photograph Alaskan coast line during 1976-1977 for comparison at later dates.            Dr Jessica Cherry    Water and Environmental Research Center, UAF           907-474-5730              Fairbanks    Alaska       United States of America    jcherry@iarc.uaf.edu                      Seward Peninsula    Alaska    Coast    Norton Bay    Candle           Aerial    Photography    Color    Infrared                         eng       imageryBaseMapsEarthCover         1976-07-23T00:00:00  1976-07-23T00:00:00             -161.09    -160.55    64.34    65.07        Seward Peninsula CoastlineFlight Line 29Color: Ungalik River - Kenwood CreekInfrared: Ungalik River - KoyukQuad: Norton Bay, Candle  1st Frame - Last FrameColor:     6539 - 6546Infrared: 5760 - 5770Altitude: 18000 feet          film    none          http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private    WWW:DOWNLOAD-1.0-http--download       This is not where this data is stored.  Please see Point of Contact for information. iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]

Compared fields for: geohash_7
Expected values: [b7t8h7n]
Actual values:   [b7t8h7n]

Compared fields for: contactOrganization
Expected values: [Water and Environmental Research Center, UAF]
Actual values:   [Water and Environmental Research Center, UAF]

Compared fields for: geohash_6
Expected values: [b7t8h7]
Actual values:   [b7t8h7]

Compared fields for: geohash_5
Expected values: [b7t8h]
Actual values:   [b7t8h]

Compared fields for: geohash_4
Expected values: [b7t8]
Actual values:   [b7t8]

Compared fields for: geohash_3
Expected values: [b7t]
Actual values:   [b7t]

Compared fields for: geohash_2
Expected values: [b7]
Actual values:   [b7]

Compared fields for: author
Expected values: [Dr Jessica Cherry]
Actual values:   [Dr Jessica Cherry]

Compared fields for: geohash_1
Expected values: [b]
Actual values:   [b]

Compared fields for: serviceInput
Expected values: []
Actual values:   []

Compared fields for: abstract
Expected values: [This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies.  It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet.  ECR prefix indicates color infrared, and CC/ZC indicates natural color.  It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula.  Flight lines include numbers 8-14 and 24-40.  There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab.]
Actual values:   [This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies.  It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet.  ECR prefix indicates color infrared, and CC/ZC indicates natural color.  It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula.  Flight lines include numbers 8-14 and 24-40.  There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab.]

Compared fields for: pubDate
Expected values: [2011-12-08T15:38:44.000Z]
Actual values:   [2011-12-08T15:38:44.000Z]

Compared fields for: geohash_9
Expected values: [b7t8h7nmy]
Actual values:   [b7t8h7nmy]

Compared fields for: geohash_8
Expected values: [b7t8h7nm]
Actual values:   [b7t8h7nm]

Compared fields for: beginDate
Expected values: [1976-07-23T00:00:00.000Z]
Actual values:   [1976-07-23T00:00:00.000Z]

Compared fields for: serviceTitle
Expected values: []
Actual values:   []

Compared fields for: serviceDescription
Expected values: []
Actual values:   []

Compared fields for: eastBoundCoord
Expected values: [-160.55]
Actual values:   [-160.55]

Compared fields for: southBoundCoord
Expected values: [64.34]
Actual values:   [64.34]

Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values:   [cnSandboxUCSB1]

Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2016-01-11T20:49:00.385Z]
Actual values:   [2016-01-11T20:49:00.385Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [f693b0d79ae3cbf65a4777123c17a1af]
Actual values:   [f693b0d79ae3cbf65a4777123c17a1af]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [IOOS_etopo100_201611124924884]
Actual values:   [IOOS_etopo100_201611124924884]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]

Compared fields for: dateModified
Expected values: [2016-01-11T20:49:00.385Z]
Actual values:   [2016-01-11T20:49:00.385Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [43216]
Actual values:   [43216]

Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [OPeNDAP, WMS]
Actual values:   [OPeNDAP, WMS]

Compared fields for: serviceOutput
Expected values: [DAP/2.0]
Actual values:   [DAP/2.0]

Compared fields for: keywords
Expected values: [Oceans > Bathymetry/Seafloor Topography > Bathymetry, NOAA NGDC ETOPO, latitude, longitude, altitude]
Actual values:   [Oceans > Bathymetry/Seafloor Topography > Bathymetry, NOAA NGDC ETOPO, latitude, longitude, altitude]

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Steven Baum]
Actual values:   [Steven Baum]

Compared fields for: origin
Expected values: [NOAA NGDC]
Actual values:   [NOAA NGDC]

Compared fields for: serviceEndpoint
Expected values: [http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180, http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]
Actual values:   [http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180, http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]

Compared fields for: title
Expected values: [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)]
Actual values:   [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)]

Compared fields for: northBoundCoord
Expected values: [90.0]
Actual values:   [90.0]

Compared fields for: investigator
Expected values: [Steven Baum, NOAA NGDC]
Actual values:   [Steven Baum, NOAA NGDC]

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: [-180.0]
Actual values:   [-180.0]

Compared fields for: authorSurNameSort
Expected values: [Steven Baum]
Actual values:   [Steven Baum]

Compared fields for: text
Expected values: [etopo180    eng    UTF8    dataset    service      Steven Baum    Texas AM University        979-458-3274        David G. Eller Bldg., Room 618A    College Station    TX    77843-3146    USA    baum@stommel.tamu.edu        pointOfContact      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)      2      column    21601    0.016666666666666666        row    10801    0.016666666666666666      area           Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)      20151214Z    creation          gcoos1.tamu.edu:8080       etopo180        NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        originator         GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS     contributor        ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.    NOAA NGDC      NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        pointOfContact        Oceans > Bathymetry/Seafloor Topography > Bathymetry    theme      GCMD Science Keywords           NOAA NGDC ETOPO    project         latitude    longitude    altitude    theme      CF-12           The data may be used and redistributed for free but is not intendedfor legal use, since it may contain inaccuracies. Neither the dataContributor, ERD, NOAA, nor the United States Government, nor anyof their employees or contractors, makes any warranty, express orimplied, including warranties of merchantability and fitness for aparticular purpose, or assumes any legal liability for the accuracy,completeness, or usefulness, of this information.          NOAA NGDC ETOPO       largerWorkCitation    project            Unidata Common Data Model       Grid      largerWorkCitation    project      eng    geoscientificInformation        1    -180.0    180.0    -90.0    90.0              Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)      20151214Z    creation        NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        originator         GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS     contributor        ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.    ERDDAP OPeNDAP        1    -180.0    180.0    -90.0    90.0        tight      OPeNDAPDatasetQueryAndAccess       http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180    OPeNDAP    ERDDAP's griddap OPeNDAP service. Add different extensions (e.g., .html, .das, .dds) for different purposes.    download               Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)      20151214Z    creation        NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        originator         GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS     contributor        ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.    Open Geospatial Consortium Web Map Service (WMS)        1    -180.0    180.0    -90.0    90.0        tight      GetCapabilities       http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities    OGC-WMS    Open Geospatial Consortium Web Map Service (WMS)    download              physicalMeasurement        altitude      short        Altitude               Steven Baum    Texas AM University        979-458-3274        David G. Eller Bldg., Room 618A    College Station    TX    77843-3146    USA    baum@stommel.tamu.edu        distributor        OPeNDAP    DAP/2.0          http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html    OPeNDAP    ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.    download            http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph    Viewer Information    ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.    mapDigital                dataset        2011-03-14 Downloaded http://www.ngdc.noaa.gov/mgg/global/relief/ETOPO1/data/ice_surface/grid_registered/binary/etopo1_ice_g_i2.zip           This record was created from dataset metadata by ERDDAP Version 1.46 IOOS_etopo100_201611124924884]
Actual values:   [etopo180    eng    UTF8    dataset    service      Steven Baum    Texas AM University        979-458-3274        David G. Eller Bldg., Room 618A    College Station    TX    77843-3146    USA    baum@stommel.tamu.edu        pointOfContact      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)      2      column    21601    0.016666666666666666        row    10801    0.016666666666666666      area           Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)      20151214Z    creation          gcoos1.tamu.edu:8080       etopo180        NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        originator         GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS     contributor        ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.    NOAA NGDC      NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        pointOfContact        Oceans > Bathymetry/Seafloor Topography > Bathymetry    theme      GCMD Science Keywords           NOAA NGDC ETOPO    project         latitude    longitude    altitude    theme      CF-12           The data may be used and redistributed for free but is not intendedfor legal use, since it may contain inaccuracies. Neither the dataContributor, ERD, NOAA, nor the United States Government, nor anyof their employees or contractors, makes any warranty, express orimplied, including warranties of merchantability and fitness for aparticular purpose, or assumes any legal liability for the accuracy,completeness, or usefulness, of this information.          NOAA NGDC ETOPO       largerWorkCitation    project            Unidata Common Data Model       Grid      largerWorkCitation    project      eng    geoscientificInformation        1    -180.0    180.0    -90.0    90.0              Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)      20151214Z    creation        NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        originator         GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS     contributor        ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.    ERDDAP OPeNDAP        1    -180.0    180.0    -90.0    90.0        tight      OPeNDAPDatasetQueryAndAccess       http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180    OPeNDAP    ERDDAP's griddap OPeNDAP service. Add different extensions (e.g., .html, .das, .dds) for different purposes.    download               Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)      20151214Z    creation        NOAA NGDC    NOAA NGDC        Barry.Eakins@noaa.gov        http://www.ngdc.noaa.gov/mgg/global/global.html    http    web browser    Background Information     information        originator         GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS     contributor        ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.    Open Geospatial Consortium Web Map Service (WMS)        1    -180.0    180.0    -90.0    90.0        tight      GetCapabilities       http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities    OGC-WMS    Open Geospatial Consortium Web Map Service (WMS)    download              physicalMeasurement        altitude      short        Altitude               Steven Baum    Texas AM University        979-458-3274        David G. Eller Bldg., Room 618A    College Station    TX    77843-3146    USA    baum@stommel.tamu.edu        distributor        OPeNDAP    DAP/2.0          http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html    OPeNDAP    ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.    download            http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph    Viewer Information    ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.    mapDigital                dataset        2011-03-14 Downloaded http://www.ngdc.noaa.gov/mgg/global/relief/ETOPO1/data/ice_surface/grid_registered/binary/etopo1_ice_g_i2.zip           This record was created from dataset metadata by ERDDAP Version 1.46 IOOS_etopo100_201611124924884]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]

Compared fields for: geohash_7
Expected values: [s000000]
Actual values:   [s000000]

Compared fields for: contactOrganization
Expected values: [Texas AM University]
Actual values:   [Texas AM University]

Compared fields for: geohash_6
Expected values: [s00000]
Actual values:   [s00000]

Compared fields for: geohash_5
Expected values: [s0000]
Actual values:   [s0000]

Compared fields for: geohash_4
Expected values: [s000]
Actual values:   [s000]

Compared fields for: geohash_3
Expected values: [s00]
Actual values:   [s00]

Compared fields for: geohash_2
Expected values: [s0]
Actual values:   [s0]

Compared fields for: author
Expected values: [Steven Baum]
Actual values:   [Steven Baum]

Compared fields for: geohash_1
Expected values: [s]
Actual values:   [s]

Compared fields for: serviceInput
Expected values: [DataIdentification, DataIdentification]
Actual values:   [DataIdentification, DataIdentification]

Compared fields for: abstract
Expected values: [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.]
Actual values:   [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.]

Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values:   [20151214-01-01T00:00:00.000Z]

Compared fields for: geohash_9
Expected values: [s00000000]
Actual values:   [s00000000]

Compared fields for: geohash_8
Expected values: [s0000000]
Actual values:   [s0000000]

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: serviceTitle
Expected values: [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):OPeNDAP:Viewer Information]
Actual values:   [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):OPeNDAP:Viewer Information]

Compared fields for: serviceDescription
Expected values: [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]
Actual values:   [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]

Compared fields for: eastBoundCoord
Expected values: [180.0]
Actual values:   [180.0]

Compared fields for: southBoundCoord
Expected values: [-90.0]
Actual values:   [-90.0]

Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values:   [cnSandboxUCSB1]

Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values:   [5ec9ee7e9e4c34c6ab360a19328917ef]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [iso19119_looselyCoupled_20161293114572]
Actual values:   [iso19119_looselyCoupled_20161293114572]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]

Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [5172]
Actual values:   [5172]

Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [WMS]
Actual values:   [WMS]

Compared fields for: serviceOutput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]
Actual values:   [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]

Compared fields for: keywords
Expected values: []
Actual values:   []

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: origin
Expected values: []
Actual values:   []

Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&]
Actual values:   [http://localhost:8080/geoserver/wms?SERVICE=WMS&]

Compared fields for: title
Expected values: []
Actual values:   []

Compared fields for: northBoundCoord
Expected values: []
Actual values:   []

Compared fields for: investigator
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: serviceCoupling
Expected values: [loose]
Actual values:   [loose]

Compared fields for: westBoundCoord
Expected values: []
Actual values:   []

Compared fields for: authorSurNameSort
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: text
Expected values: [iso19119_looselyCoupled    eng    UTF8    dataset    service      Bob    UNM    pointOfContact      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        Test Render Service      2007-12-29T12:00:00           Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.     OGC:WMS         RenderSVG         http://localhost:8080/geoserver/wms?SERVICE=WMS&    Renders an application/svg xml of given									data. iso19119_looselyCoupled_20161293114572]
Actual values:   [iso19119_looselyCoupled    eng    UTF8    dataset    service      Bob    UNM    pointOfContact      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        Test Render Service      2007-12-29T12:00:00           Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.     OGC:WMS         RenderSVG         http://localhost:8080/geoserver/wms?SERVICE=WMS&    Renders an application/svg xml of given									data. iso19119_looselyCoupled_20161293114572]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]

Compared fields for: geohash_7
Expected values: []
Actual values:   []

Compared fields for: contactOrganization
Expected values: [UNM]
Actual values:   [UNM]

Compared fields for: geohash_6
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: []
Actual values:   []

Compared fields for: geohash_4
Expected values: []
Actual values:   []

Compared fields for: geohash_3
Expected values: []
Actual values:   []

Compared fields for: geohash_2
Expected values: []
Actual values:   []

Compared fields for: author
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: geohash_1
Expected values: []
Actual values:   []

Compared fields for: serviceInput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]
Actual values:   [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]

Compared fields for: abstract
Expected values: []
Actual values:   []

Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values:   [20151214-01-01T00:00:00.000Z]

Compared fields for: geohash_9
Expected values: []
Actual values:   []

Compared fields for: geohash_8
Expected values: []
Actual values:   []

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: serviceTitle
Expected values: [Test Render Service]
Actual values:   [Test Render Service]

Compared fields for: serviceDescription
Expected values: [Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.]
Actual values:   [Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.]

Compared fields for: eastBoundCoord
Expected values: []
Actual values:   []

Compared fields for: southBoundCoord
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values:   [cnSandboxUCSB1]

Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values:   [5ec9ee7e9e4c34c6ab360a19328917ef]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [isotc211_distributionInfo_20161293114572]
Actual values:   [isotc211_distributionInfo_20161293114572]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_distributionInfo_20161293114572]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_distributionInfo_20161293114572]

Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [5172]
Actual values:   [5172]

Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]
Actual values:   [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]

Compared fields for: serviceOutput
Expected values: [netCDF-4]
Actual values:   [netCDF-4]

Compared fields for: keywords
Expected values: [DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce, DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce]
Actual values:   [DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce, DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce]

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Robert Potash]
Actual values:   [Robert Potash]

Compared fields for: origin
Expected values: [NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]
Actual values:   [NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]

Compared fields for: serviceEndpoint
Expected values: [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/]
Actual values:   [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/]

Compared fields for: title
Expected values: [GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)]
Actual values:   [GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)]

Compared fields for: northBoundCoord
Expected values: [65]
Actual values:   [65]

Compared fields for: investigator
Expected values: [Robert Potash, Edward M. Armstrong, NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]
Actual values:   [Robert Potash, Edward M. Armstrong, NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: [-135]
Actual values:   [-135]

Compared fields for: authorSurNameSort
Expected values: [Robert Potash]
Actual values:   [Robert Potash]

Compared fields for: text
Expected values: [gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P    eng    utf8    series      DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce    Data Officer        301-713-3272    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.DataOfficer@noaa.gov        http://www.ncei.noaa.gov/    HTTP    Standard Internet browser    NOAA National Centers for Environmental Information website    Main NCEI website providing links to access data and data services.    information        custodian        Robert Potash    OSDPD > NOAA Office of Satellite Data Processing and Distribution    Technical Contact        301-763-8384    none        bob.potash@noaa.gov      Phone/FAX/E-mail      pointOfContact      2016-01-24T05:44:41    ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)      2      column     0.036        row     0.036      area    true          GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)    GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager      2011-09-07    publication      1.0        NCEI Collection Identifier       gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P        DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.DataOfficer@noaa.gov        http://www.ncei.noaa.gov/    HTTP    Standard Internet browser    NOAA National Centers for Environmental Information website    Main NCEI website providing links to access data and data services.    information        publisher        DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    NOAA National Oceanographic Data Center website    Main NODC website providing links to access data and data services.    information        publisher        Edward M. Armstrong    US NASA; Jet Propulsion Laboratory        (818) 393-6710        MS 300/320 4800 Oak Grove Drive    Pasadena    CA    91109    USA    edward.m.armstrong@jpl.nasa.gov        resourceProvider        US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center (JPL PO.DAAC)        626-744-5508        4800 Oak Grove Drive    Pasadena    CA    91109    USA    podaac@podaac.jpl.nasa.gov        http://podaac.jpl.nasa.gov/index.html    HTTP    Standard Internet browser    NASA Jet Propulsion Laboratory PO DAAC website    Institution web page    information        resourceProvider        US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO)        E/SP NSOF, 4231 SUITLAND ROAD    SUITLAND    MD    20746    USA        http://www.ospo.noaa.gov/Organization/About/contact.html    HTTP    Standard Internet browser    Office of Satellite and Product Operations website    Institution web page    information        originator        US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSDPD)        301-457-5120        E/SP    Suitland    MD    20746-4304    USA        originator      tableDigital      The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions.    BASIC RESEARCH    These data are produced by NOAA/NESDIS funded by NESDIS Office of System Development    onGoing      DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.Services@noaa.gov        http://www.ncei.noaa.gov/    HTTP    Standard Internet browser    NOAA National Centers for Environmental Information website    Main NCEI website providing links to access data and data services.    information      8:30-6:00 PM, EST      pointOfContact        Robert Potash    OSDPD > NOAA Office of Satellite Data Processing and Distribution        301-763-8384    none        bob.potash@noaa.gov         pointOfContact        asNeeded        http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P    Preview graphic    PNG        DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce    DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce    dataCenter        Please note: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data.    accessLevel: Public        otherRestrictions    Cite as: US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO) (2010). GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2). National Oceanographic Data Center, NOAA. Dataset. [access date]        otherRestrictions    None          GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2)    GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager      20141116    creation      1.0      NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746         originator        NOAA/NESDIS        Camp Springs, MD (USA)        publisher        collection    userGuide          IDL read software Read software       Group for High Resolution Sea Surface Temperature        ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/sw/IDL/    FTP    Any FTP client    IDL read software    Read software        custodian        crossReference    collection          GDS2 User Manual Documentation on the GDS version 2 format specification       Group for High Resolution Sea Surface Temperature        ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/docs/GDS20r5.pdf    FTP    Any FTP client    GDS2 User Manual    Documentation on the GDS version 2 format specification        custodian        crossReference    collection          Web Service (PO.DAAC Labs) (Search Granule)       Group for High Resolution Sea Surface Temperature        http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GHG13-2PO02    HTTP    Standard Internet browser    Web Service (PO.DAAC Labs)    (Search Granule)        custodian        crossReference    collection          Home Page of the GHRSST Project       Group for High Resolution Sea Surface Temperature        http://www.ghrsst.org    HTTP    Standard Internet browser    Home Page of the GHRSST Project    Home Page of the GHRSST Project        custodian        crossReference    collection          Portal to the GHRSST Global Data Assembly Center and data access       Group for High Resolution Sea Surface Temperature        http://ghrsst.jpl.nasa.gov    HTTP    Standard Internet browser    Portal to the GHRSST Global Data Assembly Center and data access    Portal to the GHRSST Global Data Assembly Center and data access        custodian        crossReference    collection      grid    eng    utf8    environment    oceans    climatologyMeteorologyAtmosphere    biota    climatologyMeteorologyAtmosphere        -135    -30    50    65         2010-06-21          This collection includes data from the following product(s): GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2) (GHRSST-GOES13-OSPO-L2P-v1.0); GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GHRSST-OSDPD-L2P-GOES13).           referenceInformation        lat      float              lon      float              time      int                  DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.Services@noaa.gov      8:30-6:00 PM, EST      pointOfContact        Digital data may be downloaded from NCEI at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NCEI Information Services Division for information about current fees.    Data may be searched and downloaded using online services provided by NCEI using the online resource URLs in this record. Contact NCEI Information Services Division for custom orders. When requesting data from NCEI, the desired data set may be referred to by the unique package identification number listed in this metadata record.        netCDF    netCDF-4    Files are internally compressed          http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage    HTTP    Standard Internet browser    Granule Search    Granule Search    search            http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P    HTTP    Standard Internet browser    Details    Navigate directly to the URL for a descriptive web page with download links.    information            http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/    THREDDS    Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations.    THREDDS    These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.    download            http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/    DAP    Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations.    OPeNDAP    These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.    download            http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/    HTTP    Standard Internet browser    Download    Navigate directly to the URL for data access and direct download.    download            ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/    FTP    Any FTP client    FTP    These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.    download                repository      NOAA National Centers for Environmental Information            NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.    2015-04-22T00:00:00            asNeeded    Combined metadata from JPL and NCEI      DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce    custodian              GOES-13 Imager > Geostationary Operational Environmental Satellite 13-Imager      sensor    he GOES Imager is a multi-channel instrument designed to sense radiant and solar-reflected energy from sampled areas of the Earth. The multi-element spectral channels simultaneously sweep east-west a          GOES-13 > Geostationary Operational Environmental Satellite 13           NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746         sponsor        NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA        http://podaac.jpl.nasa.gov    information        sponsor isotc211_distributionInfo_20161293114572]
Actual values:   [gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P    eng    utf8    series      DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce    Data Officer        301-713-3272    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.DataOfficer@noaa.gov        http://www.ncei.noaa.gov/    HTTP    Standard Internet browser    NOAA National Centers for Environmental Information website    Main NCEI website providing links to access data and data services.    information        custodian        Robert Potash    OSDPD > NOAA Office of Satellite Data Processing and Distribution    Technical Contact        301-763-8384    none        bob.potash@noaa.gov      Phone/FAX/E-mail      pointOfContact      2016-01-24T05:44:41    ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)      2      column     0.036        row     0.036      area    true          GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)    GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager      2011-09-07    publication      1.0        NCEI Collection Identifier       gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P        DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.DataOfficer@noaa.gov        http://www.ncei.noaa.gov/    HTTP    Standard Internet browser    NOAA National Centers for Environmental Information website    Main NCEI website providing links to access data and data services.    information        publisher        DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    NOAA National Oceanographic Data Center website    Main NODC website providing links to access data and data services.    information        publisher        Edward M. Armstrong    US NASA; Jet Propulsion Laboratory        (818) 393-6710        MS 300/320 4800 Oak Grove Drive    Pasadena    CA    91109    USA    edward.m.armstrong@jpl.nasa.gov        resourceProvider        US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center (JPL PO.DAAC)        626-744-5508        4800 Oak Grove Drive    Pasadena    CA    91109    USA    podaac@podaac.jpl.nasa.gov        http://podaac.jpl.nasa.gov/index.html    HTTP    Standard Internet browser    NASA Jet Propulsion Laboratory PO DAAC website    Institution web page    information        resourceProvider        US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO)        E/SP NSOF, 4231 SUITLAND ROAD    SUITLAND    MD    20746    USA        http://www.ospo.noaa.gov/Organization/About/contact.html    HTTP    Standard Internet browser    Office of Satellite and Product Operations website    Institution web page    information        originator        US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSDPD)        301-457-5120        E/SP    Suitland    MD    20746-4304    USA        originator      tableDigital      The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions.    BASIC RESEARCH    These data are produced by NOAA/NESDIS funded by NESDIS Office of System Development    onGoing      DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.Services@noaa.gov        http://www.ncei.noaa.gov/    HTTP    Standard Internet browser    NOAA National Centers for Environmental Information website    Main NCEI website providing links to access data and data services.    information      8:30-6:00 PM, EST      pointOfContact        Robert Potash    OSDPD > NOAA Office of Satellite Data Processing and Distribution        301-763-8384    none        bob.potash@noaa.gov         pointOfContact        asNeeded        http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P    Preview graphic    PNG        DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce    DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce    dataCenter        Please note: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data.    accessLevel: Public        otherRestrictions    Cite as: US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO) (2010). GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2). National Oceanographic Data Center, NOAA. Dataset. [access date]        otherRestrictions    None          GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2)    GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager      20141116    creation      1.0      NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746         originator        NOAA/NESDIS        Camp Springs, MD (USA)        publisher        collection    userGuide          IDL read software Read software       Group for High Resolution Sea Surface Temperature        ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/sw/IDL/    FTP    Any FTP client    IDL read software    Read software        custodian        crossReference    collection          GDS2 User Manual Documentation on the GDS version 2 format specification       Group for High Resolution Sea Surface Temperature        ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/docs/GDS20r5.pdf    FTP    Any FTP client    GDS2 User Manual    Documentation on the GDS version 2 format specification        custodian        crossReference    collection          Web Service (PO.DAAC Labs) (Search Granule)       Group for High Resolution Sea Surface Temperature        http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GHG13-2PO02    HTTP    Standard Internet browser    Web Service (PO.DAAC Labs)    (Search Granule)        custodian        crossReference    collection          Home Page of the GHRSST Project       Group for High Resolution Sea Surface Temperature        http://www.ghrsst.org    HTTP    Standard Internet browser    Home Page of the GHRSST Project    Home Page of the GHRSST Project        custodian        crossReference    collection          Portal to the GHRSST Global Data Assembly Center and data access       Group for High Resolution Sea Surface Temperature        http://ghrsst.jpl.nasa.gov    HTTP    Standard Internet browser    Portal to the GHRSST Global Data Assembly Center and data access    Portal to the GHRSST Global Data Assembly Center and data access        custodian        crossReference    collection      grid    eng    utf8    environment    oceans    climatologyMeteorologyAtmosphere    biota    climatologyMeteorologyAtmosphere        -135    -30    50    65         2010-06-21          This collection includes data from the following product(s): GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2) (GHRSST-GOES13-OSPO-L2P-v1.0); GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GHRSST-OSDPD-L2P-GOES13).           referenceInformation        lat      float              lon      float              time      int                  DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce        301-713-3277    301-713-3302        Federal Building 151 Patton Avenue    Asheville    NC    28801-5001    USA    NODC.Services@noaa.gov      8:30-6:00 PM, EST      pointOfContact        Digital data may be downloaded from NCEI at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NCEI Information Services Division for information about current fees.    Data may be searched and downloaded using online services provided by NCEI using the online resource URLs in this record. Contact NCEI Information Services Division for custom orders. When requesting data from NCEI, the desired data set may be referred to by the unique package identification number listed in this metadata record.        netCDF    netCDF-4    Files are internally compressed          http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage    HTTP    Standard Internet browser    Granule Search    Granule Search    search            http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P    HTTP    Standard Internet browser    Details    Navigate directly to the URL for a descriptive web page with download links.    information            http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/    THREDDS    Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations.    THREDDS    These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.    download            http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/    DAP    Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations.    OPeNDAP    These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.    download            http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/    HTTP    Standard Internet browser    Download    Navigate directly to the URL for data access and direct download.    download            ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/    FTP    Any FTP client    FTP    These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.    download                repository      NOAA National Centers for Environmental Information            NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.    2015-04-22T00:00:00            asNeeded    Combined metadata from JPL and NCEI      DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce    custodian              GOES-13 Imager > Geostationary Operational Environmental Satellite 13-Imager      sensor    he GOES Imager is a multi-channel instrument designed to sense radiant and solar-reflected energy from sampled areas of the Earth. The multi-element spectral channels simultaneously sweep east-west a          GOES-13 > Geostationary Operational Environmental Satellite 13           NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746         sponsor        NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA        http://podaac.jpl.nasa.gov    information        sponsor isotc211_distributionInfo_20161293114572]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_distributionInfo_20161293114572]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_distributionInfo_20161293114572]

Compared fields for: geohash_7
Expected values: [f4jr4et]
Actual values:   [f4jr4et]

Compared fields for: contactOrganization
Expected values: [DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce]
Actual values:   [DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce]

Compared fields for: geohash_6
Expected values: [f4jr4e]
Actual values:   [f4jr4e]

Compared fields for: geohash_5
Expected values: [f4jr4]
Actual values:   [f4jr4]

Compared fields for: geohash_4
Expected values: [f4jr]
Actual values:   [f4jr]

Compared fields for: geohash_3
Expected values: [f4j]
Actual values:   [f4j]

Compared fields for: geohash_2
Expected values: [f4]
Actual values:   [f4]

Compared fields for: author
Expected values: [Robert Potash]
Actual values:   [Robert Potash]

Compared fields for: geohash_1
Expected values: [f]
Actual values:   [f]

Compared fields for: serviceInput
Expected values: []
Actual values:   []

Compared fields for: abstract
Expected values: [The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions.]
Actual values:   [The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions.]

Compared fields for: pubDate
Expected values: [2016-01-24T05:44:41.000Z]
Actual values:   [2016-01-24T05:44:41.000Z]

Compared fields for: geohash_9
Expected values: [f4jr4et3f]
Actual values:   [f4jr4et3f]

Compared fields for: geohash_8
Expected values: [f4jr4et3]
Actual values:   [f4jr4et3]

Compared fields for: beginDate
Expected values: [2010-06-21T00:00:00.000Z]
Actual values:   [2010-06-21T00:00:00.000Z]

Compared fields for: serviceTitle
Expected values: [Granule Search:Details:THREDDS:OPeNDAP:Download:FTP]
Actual values:   [Granule Search:Details:THREDDS:OPeNDAP:Download:FTP]

Compared fields for: serviceDescription
Expected values: [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.]
Actual values:   [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.]

Compared fields for: eastBoundCoord
Expected values: [-30]
Actual values:   [-30]

Compared fields for: southBoundCoord
Expected values: [50]
Actual values:   [50]

Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values:   [cnSandboxUCSB1]

Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values:   [5ec9ee7e9e4c34c6ab360a19328917ef]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [iso19139_geoserver__20161293114572]
Actual values:   [iso19139_geoserver__20161293114572]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_geoserver__20161293114572]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19139_geoserver__20161293114572]

Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [5172]
Actual values:   [5172]

Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [WMS]
Actual values:   [WMS]

Compared fields for: serviceOutput
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: []
Actual values:   []

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Bob Smith]
Actual values:   [Bob Smith]

Compared fields for: origin
Expected values: []
Actual values:   []

Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS1&, http://localhost:8080/geoserver/wms?SERVICE=WMS2&, http://localhost:8080/geoserver/wms?SERVICE=WMS3&, http://localhost:8080/geoserver/wms?SERVICE=WMS4&, http://localhost:8080/geoserver/wms?SERVICE=WMS5&, http://localhost:8080/geoserver/wms?SERVICE=WMS6&, http://localhost:8080/geoserver/wms?SERVICE=WMS7&, http://localhost:8080/geoserver/wms?SERVICE=WMS8&, http://localhost:8080/geoserver/wms?SERVICE=WMS9&, http://localhost:8080/geoserver/wms?SERVICE=WMS10&, http://localhost:8080/geoserver/wms?SERVICE=WMS11&, http://localhost:8080/geoserver/wms?SERVICE=WMS12&, http://localhost:8080/geoserver/wms?SERVICE=WMS13&, http://localhost:8080/geoserver/wms?SERVICE=WMS14&, http://localhost:8080/geoserver/wms?SERVICE=WMS15&, http://localhost:8080/geoserver/wms?SERVICE=WMS16&, http://localhost:8080/geoserver/type?distrib=info]
Actual values:   [http://localhost:8080/geoserver/wms?SERVICE=WMS1&, http://localhost:8080/geoserver/wms?SERVICE=WMS2&, http://localhost:8080/geoserver/wms?SERVICE=WMS3&, http://localhost:8080/geoserver/wms?SERVICE=WMS4&, http://localhost:8080/geoserver/wms?SERVICE=WMS5&, http://localhost:8080/geoserver/wms?SERVICE=WMS6&, http://localhost:8080/geoserver/wms?SERVICE=WMS7&, http://localhost:8080/geoserver/wms?SERVICE=WMS8&, http://localhost:8080/geoserver/wms?SERVICE=WMS9&, http://localhost:8080/geoserver/wms?SERVICE=WMS10&, http://localhost:8080/geoserver/wms?SERVICE=WMS11&, http://localhost:8080/geoserver/wms?SERVICE=WMS12&, http://localhost:8080/geoserver/wms?SERVICE=WMS13&, http://localhost:8080/geoserver/wms?SERVICE=WMS14&, http://localhost:8080/geoserver/wms?SERVICE=WMS15&, http://localhost:8080/geoserver/wms?SERVICE=WMS16&, http://localhost:8080/geoserver/type?distrib=info]

Compared fields for: title
Expected values: []
Actual values:   []

Compared fields for: northBoundCoord
Expected values: []
Actual values:   []

Compared fields for: investigator
Expected values: [Bob Smith]
Actual values:   [Bob Smith]

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: []
Actual values:   []

Compared fields for: authorSurNameSort
Expected values: [Bob Smith]
Actual values:   [Bob Smith]

Compared fields for: text
Expected values: [01f48b21-4a27-461d-bbd1-11d7b2221b97             2016-02-10T13:44:24    ISO 19115:2003/19139    1.0        Test Service Description - for a WMS service in ISO19139/119       2007-12-29T12:00:00           Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS).         Bob Smith                        http://geonetwork-opensource.org/               WFS    WMS    GEOSERVER    GEONETWORK    OSGeo         OGC:WMS    1.1.1      NONE          -20.039062500000007    0.3515624999999904    -5.441022303717958    31.503629305773032             GetCapabilities            http://localhost:8080/geoserver/wms?SERVICE=WMS1&    WWW:LINK-1.0-http--link    Format : application/vnd.ogc.wms_xml             GetMap         http://localhost:8080/geoserver/wms?SERVICE=WMS2&    WWW:LINK-1.0-http--link    Format : image/png           http://localhost:8080/geoserver/wms?SERVICE=WMS3&    WWW:LINK-1.0-http--link    Format : application/atom+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS4&    WWW:LINK-1.0-http--link    Format : application/openlayers           http://localhost:8080/geoserver/wms?SERVICE=WMS5&    WWW:LINK-1.0-http--link    Format : application/pdf           http://localhost:8080/geoserver/wms?SERVICE=WMS6&    WWW:LINK-1.0-http--link    Format : application/rss+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS7&    WWW:LINK-1.0-http--link    Format :                   application/vnd.google-earth.kml+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS8&    WWW:LINK-1.0-http--link    Format : application/vnd.google-earth.kmz           http://localhost:8080/geoserver/wms?SERVICE=WMS9&    WWW:LINK-1.0-http--link    Format : image/geotiff           http://localhost:8080/geoserver/wms?SERVICE=WMS10&    WWW:LINK-1.0-http--link    Format : image/geotiff8           http://localhost:8080/geoserver/wms?SERVICE=WMS11&    WWW:LINK-1.0-http--link    Format : image/gif           http://localhost:8080/geoserver/wms?SERVICE=WMS12&    WWW:LINK-1.0-http--link    Format : image/jpeg           http://localhost:8080/geoserver/wms?SERVICE=WMS13&    WWW:LINK-1.0-http--link    Format : image/png8           http://localhost:8080/geoserver/wms?SERVICE=WMS14&    WWW:LINK-1.0-http--link    Format : image/svg+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS15&    WWW:LINK-1.0-http--link    Format : image/tiff           http://localhost:8080/geoserver/wms?SERVICE=WMS16&    WWW:LINK-1.0-http--link    Format : image/tiff8                 PNG    1.0          http://localhost:8080/geoserver/type?distrib=info    OGC:WMS-1.1.1-http-get-map    gn:gboundaries    Country boundaries iso19139_geoserver__20161293114572]
Actual values:   [01f48b21-4a27-461d-bbd1-11d7b2221b97             2016-02-10T13:44:24    ISO 19115:2003/19139    1.0        Test Service Description - for a WMS service in ISO19139/119       2007-12-29T12:00:00           Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS).         Bob Smith                        http://geonetwork-opensource.org/               WFS    WMS    GEOSERVER    GEONETWORK    OSGeo         OGC:WMS    1.1.1      NONE          -20.039062500000007    0.3515624999999904    -5.441022303717958    31.503629305773032             GetCapabilities            http://localhost:8080/geoserver/wms?SERVICE=WMS1&    WWW:LINK-1.0-http--link    Format : application/vnd.ogc.wms_xml             GetMap         http://localhost:8080/geoserver/wms?SERVICE=WMS2&    WWW:LINK-1.0-http--link    Format : image/png           http://localhost:8080/geoserver/wms?SERVICE=WMS3&    WWW:LINK-1.0-http--link    Format : application/atom+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS4&    WWW:LINK-1.0-http--link    Format : application/openlayers           http://localhost:8080/geoserver/wms?SERVICE=WMS5&    WWW:LINK-1.0-http--link    Format : application/pdf           http://localhost:8080/geoserver/wms?SERVICE=WMS6&    WWW:LINK-1.0-http--link    Format : application/rss+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS7&    WWW:LINK-1.0-http--link    Format :                   application/vnd.google-earth.kml+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS8&    WWW:LINK-1.0-http--link    Format : application/vnd.google-earth.kmz           http://localhost:8080/geoserver/wms?SERVICE=WMS9&    WWW:LINK-1.0-http--link    Format : image/geotiff           http://localhost:8080/geoserver/wms?SERVICE=WMS10&    WWW:LINK-1.0-http--link    Format : image/geotiff8           http://localhost:8080/geoserver/wms?SERVICE=WMS11&    WWW:LINK-1.0-http--link    Format : image/gif           http://localhost:8080/geoserver/wms?SERVICE=WMS12&    WWW:LINK-1.0-http--link    Format : image/jpeg           http://localhost:8080/geoserver/wms?SERVICE=WMS13&    WWW:LINK-1.0-http--link    Format : image/png8           http://localhost:8080/geoserver/wms?SERVICE=WMS14&    WWW:LINK-1.0-http--link    Format : image/svg+xml           http://localhost:8080/geoserver/wms?SERVICE=WMS15&    WWW:LINK-1.0-http--link    Format : image/tiff           http://localhost:8080/geoserver/wms?SERVICE=WMS16&    WWW:LINK-1.0-http--link    Format : image/tiff8                 PNG    1.0          http://localhost:8080/geoserver/type?distrib=info    OGC:WMS-1.1.1-http-get-map    gn:gboundaries    Country boundaries iso19139_geoserver__20161293114572]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_geoserver__20161293114572]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/iso19139_geoserver__20161293114572]

Compared fields for: geohash_7
Expected values: []
Actual values:   []

Compared fields for: contactOrganization
Expected values: []
Actual values:   []

Compared fields for: geohash_6
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: []
Actual values:   []

Compared fields for: geohash_4
Expected values: []
Actual values:   []

Compared fields for: geohash_3
Expected values: []
Actual values:   []

Compared fields for: geohash_2
Expected values: []
Actual values:   []

Compared fields for: author
Expected values: [Bob Smith]
Actual values:   [Bob Smith]

Compared fields for: geohash_1
Expected values: []
Actual values:   []

Compared fields for: serviceInput
Expected values: []
Actual values:   []

Compared fields for: abstract
Expected values: []
Actual values:   []

Compared fields for: pubDate
Expected values: [2016-02-10T13:44:24.000Z]
Actual values:   [2016-02-10T13:44:24.000Z]

Compared fields for: geohash_9
Expected values: []
Actual values:   []

Compared fields for: geohash_8
Expected values: []
Actual values:   []

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: serviceTitle
Expected values: [Test Service Description - for a WMS service in ISO19139/119]
Actual values:   [Test Service Description - for a WMS service in ISO19139/119]

Compared fields for: serviceDescription
Expected values: [Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS).]
Actual values:   [Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS).]

Compared fields for: eastBoundCoord
Expected values: []
Actual values:   []

Compared fields for: southBoundCoord
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values:   [cnSandboxUCSB1]

Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values:   [5ec9ee7e9e4c34c6ab360a19328917ef]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values:   [isotc211_looselyCoupledServiceSrvAndDistrib]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]

Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [5172]
Actual values:   [5172]

Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [WMS]
Actual values:   [WMS]

Compared fields for: serviceOutput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml, DAP/2.0]
Actual values:   [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml, DAP/2.0]

Compared fields for: keywords
Expected values: []
Actual values:   []

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: origin
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]
Actual values:   [http://localhost:8080/geoserver/wms?SERVICE=WMS&, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]

Compared fields for: title
Expected values: []
Actual values:   []

Compared fields for: northBoundCoord
Expected values: []
Actual values:   []

Compared fields for: investigator
Expected values: [Bob, Steven Baum]
Actual values:   [Bob, Steven Baum]

Compared fields for: serviceCoupling
Expected values: [loose]
Actual values:   [loose]

Compared fields for: westBoundCoord
Expected values: []
Actual values:   []

Compared fields for: authorSurNameSort
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: text
Expected values: [iso19119_looselyCoupled    eng    UTF8    dataset    service      Bob    UNM    owner      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        Test Render Service      2007-12-29T12:00:00           Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.     OGC:WMS         RenderSVG         http://localhost:8080/geoserver/wms?SERVICE=WMS&    Renders an application/svg xml of given									data.                  Steven Baum    Texas AM University        979-458-3274        David G. Eller Bldg., Room 618A    College Station    TX    77843-3146    USA    baum@stommel.tamu.edu        distributor        OPeNDAP    DAP/2.0          http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html    OPeNDAP    ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.    download            http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph    Viewer Information    ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.    mapDigital isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values:   [iso19119_looselyCoupled    eng    UTF8    dataset    service      Bob    UNM    owner      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        Test Render Service      2007-12-29T12:00:00           Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.     OGC:WMS         RenderSVG         http://localhost:8080/geoserver/wms?SERVICE=WMS&    Renders an application/svg xml of given									data.                  Steven Baum    Texas AM University        979-458-3274        David G. Eller Bldg., Room 618A    College Station    TX    77843-3146    USA    baum@stommel.tamu.edu        distributor        OPeNDAP    DAP/2.0          http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html    OPeNDAP    ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.    download            http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph    Viewer Information    ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.    mapDigital isotc211_looselyCoupledServiceSrvAndDistrib]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]

Compared fields for: geohash_7
Expected values: []
Actual values:   []

Compared fields for: contactOrganization
Expected values: [UNM]
Actual values:   [UNM]

Compared fields for: geohash_6
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: []
Actual values:   []

Compared fields for: geohash_4
Expected values: []
Actual values:   []

Compared fields for: geohash_3
Expected values: []
Actual values:   []

Compared fields for: geohash_2
Expected values: []
Actual values:   []

Compared fields for: author
Expected values: [Bob]
Actual values:   [Bob]

Compared fields for: geohash_1
Expected values: []
Actual values:   []

Compared fields for: serviceInput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]
Actual values:   [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]

Compared fields for: abstract
Expected values: []
Actual values:   []

Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values:   [20151214-01-01T00:00:00.000Z]

Compared fields for: geohash_9
Expected values: []
Actual values:   []

Compared fields for: geohash_8
Expected values: []
Actual values:   []

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: serviceTitle
Expected values: [Test Render Service:OPeNDAP:Viewer Information]
Actual values:   [Test Render Service:OPeNDAP:Viewer Information]

Compared fields for: serviceDescription
Expected values: [Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]
Actual values:   [Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]

Compared fields for: eastBoundCoord
Expected values: []
Actual values:   []

Compared fields for: southBoundCoord
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values:   [cnSandboxUCSB1]

Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values:   [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values:   [5ec9ee7e9e4c34c6ab360a19328917ef]

Compared fields for: replicationAllowed
Expected values: []
Actual values:   []

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [isotc211_tightlyCoupledServiceSrvOnly]
Actual values:   [isotc211_tightlyCoupledServiceSrvOnly]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]

Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values:   [2016-01-12T17:30:48.415Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values:   [MD5]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: []
Actual values:   []

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values:   [http://www.isotc211.org/2005/gmd]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [5172]
Actual values:   [5172]

Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values:   [urn:node:mnDemo6]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [WMS]
Actual values:   [WMS]

Compared fields for: serviceOutput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]
Actual values:   [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]

Compared fields for: keywords
Expected values: []
Actual values:   []

Compared fields for: endDate
Expected values: []
Actual values:   []

Compared fields for: authorSurName
Expected values: []
Actual values:   []

Compared fields for: origin
Expected values: [UNM]
Actual values:   [UNM]

Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&]
Actual values:   [http://localhost:8080/geoserver/wms?SERVICE=WMS&]

Compared fields for: title
Expected values: []
Actual values:   []

Compared fields for: northBoundCoord
Expected values: []
Actual values:   []

Compared fields for: investigator
Expected values: []
Actual values:   []

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: []
Actual values:   []

Compared fields for: authorSurNameSort
Expected values: []
Actual values:   []

Compared fields for: text
Expected values: [iso19119_looselyCoupled    eng    UTF8    dataset    service       UNM    author      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        Test Render Service      2007-12-29T12:00:00           Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.     OGC:WMS         RenderSVG         http://localhost:8080/geoserver/wms?SERVICE=WMS&    Renders an application/svg xml of given									data. isotc211_tightlyCoupledServiceSrvOnly]
Actual values:   [iso19119_looselyCoupled    eng    UTF8    dataset    service       UNM    author      20151214Z    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        Test Render Service      2007-12-29T12:00:00           Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.     OGC:WMS         RenderSVG         http://localhost:8080/geoserver/wms?SERVICE=WMS&    Renders an application/svg xml of given									data. isotc211_tightlyCoupledServiceSrvOnly]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]

Compared fields for: geohash_7
Expected values: []
Actual values:   []

Compared fields for: contactOrganization
Expected values: [UNM]
Actual values:   [UNM]

Compared fields for: geohash_6
Expected values: []
Actual values:   []

Compared fields for: geohash_5
Expected values: []
Actual values:   []

Compared fields for: geohash_4
Expected values: []
Actual values:   []

Compared fields for: geohash_3
Expected values: []
Actual values:   []

Compared fields for: geohash_2
Expected values: []
Actual values:   []

Compared fields for: author
Expected values: []
Actual values:   []

Compared fields for: geohash_1
Expected values: []
Actual values:   []

Compared fields for: serviceInput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/somePidHere, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/anotherPid]
Actual values:   [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/somePidHere, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/anotherPid]

Compared fields for: abstract
Expected values: []
Actual values:   []

Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values:   [20151214-01-01T00:00:00.000Z]

Compared fields for: geohash_9
Expected values: []
Actual values:   []

Compared fields for: geohash_8
Expected values: []
Actual values:   []

Compared fields for: beginDate
Expected values: []
Actual values:   []

Compared fields for: serviceTitle
Expected values: [Test Render Service]
Actual values:   [Test Render Service]

Compared fields for: serviceDescription
Expected values: [Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.]
Actual values:   [Abstract: A rendering service in ISO19139/119,					yields an application/svg xml of given data.]

Compared fields for: eastBoundCoord
Expected values: []
Actual values:   []

Compared fields for: southBoundCoord
Expected values: []
Actual values:   []

Compared fields for: rightsHolder
Expected values: [NODC]
Actual values:   [NODC]

Compared fields for: submitter
Expected values: [NODC]
Actual values:   [NODC]

Compared fields for: fileName
Expected values: []
Actual values:   []

Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:41.356Z]
Actual values:   [2015-05-08T01:47:41.356Z]

Compared fields for: seriesId
Expected values: []
Actual values:   []

Compared fields for: obsoletedBy
Expected values: []
Actual values:   []

Compared fields for: replicaMN
Expected values: []
Actual values:   []

Compared fields for: changePermission
Expected values: []
Actual values:   []

Compared fields for: readPermission
Expected values: [public]
Actual values:   [public]

Compared fields for: checksum
Expected values: [ff5d7c92a8c3285f49a8f216f929f14c6b5335a3]
Actual values:   [ff5d7c92a8c3285f49a8f216f929f14c6b5335a3]

Compared fields for: replicationAllowed
Expected values: [true]
Actual values:   [true]

Compared fields for: isPublic
Expected values: [true]
Actual values:   [true]

Compared fields for: id
Expected values: [isotc211_noaa_12345]
Actual values:   [isotc211_noaa_12345]

Compared fields for: formatType
Expected values: [METADATA]
Actual values:   [METADATA]

Compared fields for: authoritativeMN
Expected values: [urn:node:NODC]
Actual values:   [urn:node:NODC]

Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]

Compared fields for: dateModified
Expected values: [2015-05-08T01:47:41.391Z]
Actual values:   [2015-05-08T01:47:41.391Z]

Compared fields for: mediaType
Expected values: []
Actual values:   []

Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values:   [SHA-1]

Compared fields for: mediaTypeProperty
Expected values: []
Actual values:   []

Compared fields for: numberReplicas
Expected values: [3]
Actual values:   [3]

Compared fields for: obsoletes
Expected values: []
Actual values:   []

Compared fields for: replicaVerifiedDate
Expected values: []
Actual values:   []

Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd-noaa]
Actual values:   [http://www.isotc211.org/2005/gmd-noaa]

Compared fields for: preferredReplicationMN
Expected values: []
Actual values:   []

Compared fields for: size
Expected values: [11406]
Actual values:   [11406]

Compared fields for: datasource
Expected values: [urn:node:NODC]
Actual values:   [urn:node:NODC]

Compared fields for: blockedReplicationMN
Expected values: []
Actual values:   []

Compared fields for: writePermission
Expected values: []
Actual values:   []

Compared fields for: serviceType
Expected values: [HTTP]
Actual values:   [HTTP]

Compared fields for: serviceOutput
Expected values: []
Actual values:   []

Compared fields for: keywords
Expected values: [9900233, DEPTH - OBSERVATION, WATER TEMPERATURE, bathythermograph - XBT, physical, profile, ANTON DOHRN II, CAP FINISTERRE, GAUSS, KOELN EXPRESS, UNKNOWN PLATFORMS, University of Hamburg; Institut Fuer Meereskunde, University of Hamburg; Institut Fuer Meereskunde, UNKNOWN, WORLD OCEAN CIRCULATION EXPERIMENT (WOCE), oceanography]
Actual values:   [9900233, DEPTH - OBSERVATION, WATER TEMPERATURE, bathythermograph - XBT, physical, profile, ANTON DOHRN II, CAP FINISTERRE, GAUSS, KOELN EXPRESS, UNKNOWN PLATFORMS, University of Hamburg; Institut Fuer Meereskunde, University of Hamburg; Institut Fuer Meereskunde, UNKNOWN, WORLD OCEAN CIRCULATION EXPERIMENT (WOCE), oceanography]

Compared fields for: endDate
Expected values: [1998-12-12T00:00:00.000Z]
Actual values:   [1998-12-12T00:00:00.000Z]

Compared fields for: authorSurName
Expected values: [Alexander Sy]
Actual values:   [Alexander Sy]

Compared fields for: origin
Expected values: []
Actual values:   []

Compared fields for: serviceEndpoint
Expected values: [http://accession.nodc.noaa.gov/9900233]
Actual values:   [http://accession.nodc.noaa.gov/9900233]

Compared fields for: title
Expected values: [DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233)]
Actual values:   [DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233)]

Compared fields for: northBoundCoord
Expected values: [65.7]
Actual values:   [65.7]

Compared fields for: investigator
Expected values: [Alexander Sy]
Actual values:   [Alexander Sy]

Compared fields for: serviceCoupling
Expected values: [tight]
Actual values:   [tight]

Compared fields for: westBoundCoord
Expected values: [-50]
Actual values:   [-50]

Compared fields for: authorSurNameSort
Expected values: [Alexander Sy]
Actual values:   [Alexander Sy]

Compared fields for: text
Expected values: [isotc211_noaa_12345    eng    utf8    dataset      US National Oceanographic Data Center    Data Officer        301-713-3272    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        custodian      2014-01-23T14:00:11    ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233)      2010-12-19    publication          NODC Accession Number       US National Oceanographic Data Center    resourceProvider        gov.noaa.nodc:9900233        US National Oceanographic Data Center        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        publisher        Alexander Sy    Federal Maritime Agency - Hamburg        040-3190-3430        BERNHARD-NOCHT-STRASSE 78    HAMBURG    D-20359    DEU    alexander.sy@bsh.de        http://www.bsh.de    HTTP    Standard Internet browser    Federal Maritime Agency - Hamburg website    Institution web page    information        resourceProvider        University of Hamburg; Institut Fuer Meereskunde        TROPLOWITZSTR, 7    HAMBURG    D-2000, 54    DEU        resourceProvider      tableDigital       BASIC RESEARCH    completed      US National Oceanographic Data Center    NODC User Services        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.Services@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information      8:30-6:00 PM, EST      pointOfContact        asNeeded        http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:9900233    Preview graphic    PNG        9900233      NODC ACCESSION NUMBER      2000-02-29    publication            DEPTH - OBSERVATION    WATER TEMPERATURE    theme      NODC DATA TYPES THESAURUS           bathythermograph - XBT    instrument      NODC INSTRUMENT TYPES THESAURUS           physical    profile    theme      NODC OBSERVATION TYPES THESAURUS           ANTON DOHRN II    CAP FINISTERRE    GAUSS    KOELN EXPRESS    UNKNOWN PLATFORMS    platform      NODC PLATFORM NAMES THESAURUS           University of Hamburg; Institut Fuer Meereskunde    dataCenter      NODC COLLECTING INSTITUTION NAMES THESAURUS           University of Hamburg; Institut Fuer Meereskunde    dataCenter      NODC SUBMITTING INSTITUTION NAMES THESAURUS           UNKNOWN    WORLD OCEAN CIRCULATION EXPERIMENT (WOCE)    project      NODC PROJECT NAMES THESAURUS           oceanography    theme      WMO_CategoryCode      2012-09-15    publication            Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data.    accessLevel: Public        otherRestrictions    Cite as: Sy, A. and University of Hamburg; Institut Fuer Meereskunde (2010). DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233). National Oceanographic Data Center, NOAA. Dataset. [access date]        otherRestrictions    None      eng    utf8    oceans    environment        -50    -5.7    -9    65.7         1998-01-01  1998-12-12         Note: Metadata for this accession were extracted from a legacy databasemaintained by the U.S. National Oceanographic Data Center (NODC). Thedesign of the database did not exactly reflect the FGDC ContentStandard for Digital Geospatial Metadata (CSDGM).Principal Investigator (PI) and organization contact informationaccurately represents all available information from the legacy databaseat the time that this description was created. However, properattribution of a PI to a specific institution or the role (submitting orcollecting) taken by an institution may not be correct due to inexactmapping between fields in the legacy database and the CSDGM. Due to thisuncertainty, the contact information was initially recorded in theSupplemental Information element of the CSDGM description.To develop more accurate metadata, the NODC reviews metadata for allaccessions on an ongoing basis.Points of contact for this data set include:Contact info:Agency: UNIVERSITY OF HAMBURG; INSTITUT FUER MEERESKUNDEPI: Sy, Dr. AlexanderAddress:address: TROPLOWITZSTR, 7city: HAMBURGstate: NOT AVAILABLEpostal: D-2000, 54country: GERMANY            US National Oceanographic Data Center    NODC User Services        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.Services@noaa.gov      8:30-6:00 PM, EST      pointOfContact        Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees.    Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record.        Originator data format           http://accession.nodc.noaa.gov/9900233    HTTP    Standard Internet browser    Details    Navigate directly to the URL for a descriptive web page with download links.    information              asNeeded    Metadata are developed, maintained and distributed by the NODC. Updates are performed as needed to maintain currentness.      DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce    custodian isotc211_noaa_12345]
Actual values:   [isotc211_noaa_12345    eng    utf8    dataset      US National Oceanographic Data Center    Data Officer        301-713-3272    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        custodian      2014-01-23T14:00:11    ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data    ISO 19115-2:2009(E)        DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233)      2010-12-19    publication          NODC Accession Number       US National Oceanographic Data Center    resourceProvider        gov.noaa.nodc:9900233        US National Oceanographic Data Center        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.DataOfficer@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information        publisher        Alexander Sy    Federal Maritime Agency - Hamburg        040-3190-3430        BERNHARD-NOCHT-STRASSE 78    HAMBURG    D-20359    DEU    alexander.sy@bsh.de        http://www.bsh.de    HTTP    Standard Internet browser    Federal Maritime Agency - Hamburg website    Institution web page    information        resourceProvider        University of Hamburg; Institut Fuer Meereskunde        TROPLOWITZSTR, 7    HAMBURG    D-2000, 54    DEU        resourceProvider      tableDigital       BASIC RESEARCH    completed      US National Oceanographic Data Center    NODC User Services        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.Services@noaa.gov        http://www.nodc.noaa.gov/    HTTP    Standard Internet browser    US National Oceanographic Data Center website    Main NODC website providing links to the NODC Geoportal and access links to data and data services.    information      8:30-6:00 PM, EST      pointOfContact        asNeeded        http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:9900233    Preview graphic    PNG        9900233      NODC ACCESSION NUMBER      2000-02-29    publication            DEPTH - OBSERVATION    WATER TEMPERATURE    theme      NODC DATA TYPES THESAURUS           bathythermograph - XBT    instrument      NODC INSTRUMENT TYPES THESAURUS           physical    profile    theme      NODC OBSERVATION TYPES THESAURUS           ANTON DOHRN II    CAP FINISTERRE    GAUSS    KOELN EXPRESS    UNKNOWN PLATFORMS    platform      NODC PLATFORM NAMES THESAURUS           University of Hamburg; Institut Fuer Meereskunde    dataCenter      NODC COLLECTING INSTITUTION NAMES THESAURUS           University of Hamburg; Institut Fuer Meereskunde    dataCenter      NODC SUBMITTING INSTITUTION NAMES THESAURUS           UNKNOWN    WORLD OCEAN CIRCULATION EXPERIMENT (WOCE)    project      NODC PROJECT NAMES THESAURUS           oceanography    theme      WMO_CategoryCode      2012-09-15    publication            Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data.    accessLevel: Public        otherRestrictions    Cite as: Sy, A. and University of Hamburg; Institut Fuer Meereskunde (2010). DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233). National Oceanographic Data Center, NOAA. Dataset. [access date]        otherRestrictions    None      eng    utf8    oceans    environment        -50    -5.7    -9    65.7         1998-01-01  1998-12-12         Note: Metadata for this accession were extracted from a legacy databasemaintained by the U.S. National Oceanographic Data Center (NODC). Thedesign of the database did not exactly reflect the FGDC ContentStandard for Digital Geospatial Metadata (CSDGM).Principal Investigator (PI) and organization contact informationaccurately represents all available information from the legacy databaseat the time that this description was created. However, properattribution of a PI to a specific institution or the role (submitting orcollecting) taken by an institution may not be correct due to inexactmapping between fields in the legacy database and the CSDGM. Due to thisuncertainty, the contact information was initially recorded in theSupplemental Information element of the CSDGM description.To develop more accurate metadata, the NODC reviews metadata for allaccessions on an ongoing basis.Points of contact for this data set include:Contact info:Agency: UNIVERSITY OF HAMBURG; INSTITUT FUER MEERESKUNDEPI: Sy, Dr. AlexanderAddress:address: TROPLOWITZSTR, 7city: HAMBURGstate: NOT AVAILABLEpostal: D-2000, 54country: GERMANY            US National Oceanographic Data Center    NODC User Services        301-713-3277    301-713-3302        1315 East-West Highway, SSMC3, 4th floor    Silver Spring    MD    20910-3282    USA    NODC.Services@noaa.gov      8:30-6:00 PM, EST      pointOfContact        Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees.    Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record.        Originator data format           http://accession.nodc.noaa.gov/9900233    HTTP    Standard Internet browser    Details    Navigate directly to the URL for a descriptive web page with download links.    information              asNeeded    Metadata are developed, maintained and distributed by the NODC. Updates are performed as needed to maintain currentness.      DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce    custodian isotc211_noaa_12345]

Compared fields for: isService
Expected values: [true]
Actual values:   [true]

Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]
Actual values:   [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]

Compared fields for: geohash_7
Expected values: [emh1q2b]
Actual values:   [emh1q2b]

Compared fields for: contactOrganization
Expected values: [US National Oceanographic Data Center]
Actual values:   [US National Oceanographic Data Center]

Compared fields for: geohash_6
Expected values: [emh1q2]
Actual values:   [emh1q2]

Compared fields for: geohash_5
Expected values: [emh1q]
Actual values:   [emh1q]

Compared fields for: geohash_4
Expected values: [emh1]
Actual values:   [emh1]

Compared fields for: geohash_3
Expected values: [emh]
Actual values:   [emh]

Compared fields for: geohash_2
Expected values: [em]
Actual values:   [em]

Compared fields for: author
Expected values: [Alexander Sy]
Actual values:   [Alexander Sy]

Compared fields for: geohash_1
Expected values: [e]
Actual values:   [e]

Compared fields for: serviceInput
Expected values: []
Actual values:   []

Compared fields for: abstract
Expected values: []
Actual values:   []

Compared fields for: pubDate
Expected values: [2014-01-23T14:00:11.000Z]
Actual values:   [2014-01-23T14:00:11.000Z]

Compared fields for: geohash_9
Expected values: [emh1q2bnx]
Actual values:   [emh1q2bnx]

Compared fields for: geohash_8
Expected values: [emh1q2bn]
Actual values:   [emh1q2bn]

Compared fields for: beginDate
Expected values: [1998-01-01T00:00:00.000Z]
Actual values:   [1998-01-01T00:00:00.000Z]

Compared fields for: serviceTitle
Expected values: [Details]
Actual values:   [Details]

Compared fields for: serviceDescription
Expected values: [Navigate directly to the URL for a descriptive web page with download links.]
Actual values:   [Navigate directly to the URL for a descriptive web page with download links.]

Compared fields for: eastBoundCoord
Expected values: [-5.7]
Actual values:   [-5.7]

Compared fields for: southBoundCoord
Expected values: [-9]
Actual values:   [-9]

Tests run: 10, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.259 sec - in org.dataone.cn.index.SolrFieldIsotc211Test

Results :

Tests run: 82, Failures: 0, Errors: 0, Skipped: 2

[JENKINS] Recording test results
Notifying upstream projects of job completion
Join notifier requires a CauseAction
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 6:30.009s
[INFO] Finished at: Tue Nov 21 22:15:34 UTC 2017
[INFO] Final Memory: 53M/587M
[INFO] ------------------------------------------------------------------------
Waiting for Jenkins to finish collecting data