cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0058279.10fu
title: SH0058279.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0058280.10fu
title: SH0058280.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0058281.10fu
title: SH0058281.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0058282.10fu
title: SH0058282.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0058283.10fu
title: SH0058283.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0058284.10fu
title: SH0058284.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.az5x9u
title: Occurrence Download

description: A dataset containing 5731556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dipsacales)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 5731556 records from 4857 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011339-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7scchz
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Phyllotis darwini (Waterhouse, 1837)"
 ]
}

 The dataset includes 880 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023357-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wsuv4
title: Occurrence Download

description: A dataset containing 524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schizaphis graminum (Rondani, 1852)",
 "Year 1973-2022"
 ]
}

 The dataset includes 524 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067674-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8s88n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia kotschyana Fenzl",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020626-240229165702484/datasets/export for details.
DOI: 10.15468/dl.b4unn8
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "TaxonKey is Balaenoptera musculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1009 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110621-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5guveq
title: Occurrence Download

description: A dataset containing 47778099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.08763 8.77454,-76.22115 -24.30523,-80.05638 -56.35418,-64.07626 -57.05594,-18.69274 -9.05082,-71.10751 22.28725,-87.08763 8.77454))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47778099 records from 3973 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023358-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2emb94
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasius subglaber",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008134-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/ieda/324507
title: Processed Acoustic Backscatter and Swath Bathymetry Data acquired during R/V Falkor expedition FK171224 (2017)

description: This data set was acquired with a Kongsberg Maritime EM302 Multibeam Sonar during R/V Falkor expedition FK171224 conducted in 2017 (Chief Scientist: Dr. Brian Taylor). These data files are of MBSystem-compatible format and include Acoustic Backscatter and Swath Bathymetry data that were processed after acquisition. This data was processed by UNH:Center for Coastal and Ocean Mapping Joint Hydrographic Center and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 3.6).
DOI: 10.1594/ieda/324516
title: Processed Acoustic Backscatter and Swath Bathymetry Data acquired during R/V Falkor expedition FK150410 (2015)

description: This data set was acquired with a Kongsberg Maritime EM710 Multibeam Sonar during R/V Falkor expedition FK150410 conducted in 2015 (Chief Scientist: Dr. Gregory Ivey). These data files are of MBSystem-compatible format and include Acoustic Backscatter and Swath Bathymetry data that were processed after acquisition. This data was processed by UNH:Center for Coastal and Ocean Mapping Joint Hydrographic Center and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 3.6).
DOI: 10.15468/dl.umfcw2
title: Occurrence Download

description: A dataset containing 60414 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RBINS Mammal collection"
 ]
}

 The dataset includes 60414 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008133-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/ieda/324541
title: Event Logs from ROV SuBastian Dives Conducted during R/V Falkor expedition FK180420 (2018)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger during ROV SuBastian dives on R/V Falkor expedition FK180420 conducted in 2018 (Chief Scientist: Dr. Barbara Block). These data files are of Text File (ASCII) format and documentation ROV dive activities.
DOI: 10.1594/ieda/324542
title: Google Earth files of ROV SuBastian dive tracks and events during R/V Falkor expedition FK180420 (2018)

description: This data set was acquired with a Navigation System and Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK180420 conducted in 2018 (Chief Scientist: Dr. Barbara Block). These data files are of Google Earth (KML) format.
DOI: 10.1594/ieda/324543
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK180420 (2018)

description: These dive reports document basic dive metadata and dive events for ROV SuBastian dives conducted during R/V Falkor expedition FK180420 2018 (Chief Scientist: Dr. Barbara Block). These reports are of PDF format.
DOI: 10.1594/ieda/324544
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK180420 (2018)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK180420 conducted in 2018 (Chief Scientist: Dr. Barbara Block). These data files are of Text File (ASCII) format and include Vehicle Navigation, Oxygen Sensor, CTD and Temperature probe data that have not been processed.
DOI: 10.1594/ieda/324580
title: Processed Acoustic Backscatter and Swath Bathymetry Data acquired during R/V Falkor expedition FK171110 (2017)

description: This data set was acquired with a Kongsberg Maritime EM302 Multibeam Sonar during R/V Falkor expedition FK171110 conducted in 2017 (Chief Scientist: Dr. Kenneth Rubin). These data files are of MBSystem-compatible format and include Acoustic Backscatter and Swath Bathymetry data that were processed after acquisition. This data was processed by the GMRT Team and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 3.6).
DOI: 10.1594/ieda/324589
title: Event Logs from ROV SuBastian Dives Conducted during R/V Falkor expedition FK180731 (2018)

description: This data set was acquired with a Schmidt Ocean Institute Event Logger during ROV SuBastian dives on R/V Falkor expedition FK180731 conducted in 2018 (Chief Scientist: Dr. Blair Thornton). These data files are of Text
 File (ASCII) format and provide documentation of the ROV dive activities.
DOI: 10.1594/ieda/324590
title: Google Earth files of ROV SuBastian dive tracks and events during R/V Falkor expedition FK180731 (2018)

description: This data set was acquired with a Navigation System and Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK180731 conducted in 2018 (Chief Scientist: Dr. Blair Thornton). These data files are of Google Earth (KML) format.
DOI: 10.1594/ieda/324591
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK180731 (2018)

description: These dive reports document basic dive metadata and dive events for ROV SuBastian dives conducted during R/V Falkor expedition FK180731 2018 (Chief Scientist: Dr. Blair Thornton). These data files are of PDF format.
DOI: 10.1594/ieda/324592
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK180731 (2018)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK180731 conducted in 2018 (Chief Scientist: Dr. Blair Thornton). These data files are of Text File (ASCII) format and include Vehicle Navigation, Oxygen Sensor, CTD and Temperature probe data that have not been processed.
DOI: 10.1594/ieda/324621
title: Uncalibrated Hydrographic Data acquired with a Glider during R/V Falkor expedition FK180420 (2018)

description: This data set was acquired with a Glider (WET Labs ECO-Puck Optical Backscatter Sensor,Sea-Bird Electronics GPCTD CTD and Aanderaa Data Instruments 4330 Oxygen Optode Sensor) during R/V Falkor expedition FK180420 conducted in 2018 (Chief Scientist: Dr. Barbara Block, Investigator: Dr. Barbara Block). These data files are of Text File (ASCII) format and include Conductivity, Oxygen, Pressure, Sidescan, Species Abundance and Temperature data that have not been processed.
DOI: 10.1594/ieda/324622
title: Calibrated Hydrographic Data acquired with a Glider during R/V Falkor expedition FK180420 (2018)

description: This data set was acquired with a Glider (WET Labs ECO-Puck Optical Backscatter Sensor,Sea-Bird Electronics GPCTD CTD and Aanderaa Data Instruments 4330 Oxygen Optode Sensor) during R/V Falkor expedition FK180420 conducted in 2018 (Chief Scientist: Dr. Barbara Block, Investigator: Dr. Barbara Block). These data files are of Text File (ASCII) format and include Conductivity, Oxygen, Pressure, Sidescan, Species Abundance and Temperature data that were processed after acquisition.
DOI: 10.1594/ieda/324626
title: Processed Acoustic Backscatter and Swath Bathymetry Data acquired during R/V Falkor expedition FK180119 (2018)

description: This data set was acquired with a Kongsberg Maritime EM710 Multibeam Sonar during R/V Falkor expedition FK180119 conducted in 2018 (Chief Scientist: Dr. Oscar Pizarro). These data files are of MBSystem-compatible format and include Acoustic Backscatter and Swath Bathymetry data that were processed after acquisition. This data was processed by UNH:Center for Coastal and Ocean Mapping Joint Hydrographic Center and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 3.7). Data were acquired as part of the project(s): CAREER: Real-Time 3D Reconstruction and Manipulation for Underwater Intervention - A Career Development Plan. Ship time was provided by Schmidt Ocean Institute and additional funding was provided by NSF Award(s): IIS14-52793.
DOI: 10.1594/ieda/324649
title: Processed Gridded Near-Bottom Bathymetry Data from the Lau Back-arc Basin acquired with ROV ROPOS during R/V Falkor expedition FK160407 (2016)

description: This data set was acquired with a Mesotech M3 Multibeam Sonar on ROV ROPOS during R/V Falkor expedition FK160407 conducted in 2016 (Chief Scientist: Dr. Charles Fisher, Investigators: Solana Huang, Dr. Vicki Ferrini). These data files are of NetCDF Grid format and include Bathymetry data that were processed after acquisition. Data were acquired as part of the project(s): Collaborative Research: Ecosystem dynamics of Western Pacific hydrothermal vent communities associated with polymetallic sulfide deposits. Ship time was provided by Schmidt Ocean Institute and additional funding was provided by NSF Award(s): OCE15-36650.
DOI: 10.1594/ieda/324652
title: Event Logs from ROV SuBastian Dives conducted during R/V Falkor expedition FK180824 (2018)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger during ROV SuBastian dives on R/V Falkor expedition FK180824 conducted in 2018 (Chief Scientist: Dr. Anna Michel). These data files are of Text File (ASCII) format and provide documentation of the ROV dive activities. Data were acquired as part of the project(s): Identifying Cross-talk between Nitrogen and Manganese Redox Cycling; A Robust and Sensitive In Situ Analyzer for Simultaneous Methane Carbon and Hydrogen Isotopic Measurements in the Deep Sea. Ship time was provided by Schmidt Ocean Institute and additional funding was provided by NSF Award(s): EAR18-26940 , OCE14-43683.
DOI: 10.1594/ieda/324653
title: Google Earth files of ROV SuBastian dive tracks and events during R/V Falkor expedition FK180824 (2018)

description: This data set was acquired with a Navigation System and Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK180824 conducted in 2018 (Chief Scientist: Dr. Anna Michel). These data files are of Google Earth (KML) format. Data were acquired as part of the project(s): Identifying Cross-talk between Nitrogen and Manganese Redox Cycling; A Robust and Sensitive In Situ Analyzer for Simultaneous Methane Carbon and Hydrogen Isotopic Measurements in the Deep Sea. Ship time was provided by Schmidt Ocean Institute and additional funding was provided by NSF Award(s): EAR18-26940 , OCE14-43683.
DOI: 10.1594/ieda/324654
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK180824 (2018)

description: These dive reports document basic dive metadata and dive events for ROV SuBastian dives conducted during R/V Falkor expedition FK180824 2018 (Chief Scientist: Dr. Anna Michel). These reports are of PDF format. Data were acquired as part of the project(s): Identifying Cross-talk between Nitrogen and Manganese Redox Cycling; A Robust and Sensitive In Situ Analyzer for Simultaneous Methane Carbon and Hydrogen Isotopic Measurements in the Deep Sea. Ship time was provided by Schmidt Ocean Institute and additional funding was provided by NSF Award(s): EAR18-26940 , OCE14-43683.
DOI: 10.1594/ieda/324655
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK180824 (2018)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK180824 conducted in 2018 (Chief Scientist: Dr. Anna Michel). These data files are of Text File (ASCII) format and include Vehicle Navigation, Oxygen Sensor, CTD and Temperature probe data that have not been processed. Data were acquired as part of the project(s): Identifying Cross-talk between Nitrogen and Manganese Redox Cycling; A Robust and Sensitive In Situ Analyzer for Simultaneous Methane Carbon and Hydrogen Isotopic Measurements in the Deep Sea. Ship time was provided by Schmidt Ocean Institute and additional funding was provided by NSF Award(s): EAR18-26940 , OCE14-43683.
DOI: 10.1594/ieda/324660
title: Event Logs from ROV SuBastian Dives conducted during R/V Falkor expedition FK181005 (2018)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger during ROV SuBastian dives on R/V Falkor expedition FK181005 conducted in 2018 (Chief Scientist: Dr. Peter Girguis). These data files are of Text File
 (ASCII) format and provide documentation of the ROV dive activities.
DOI: 10.1594/ieda/324661
title: Google Earth files of ROV SuBastian dive tracks and events during R/V Falkor expedition FK181005 (2018)

description: This data set was acquired with a Navigation System and Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK181005 conducted in 2018 (Chief Scientist: Dr. Peter Girguis). These data files are of Google Earth (KML) format.
DOI: 10.1594/ieda/324662
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK181005 (2018)

description: These dive reports document basic dive metadata and dive events for ROV SuBastian dives conducted during R/V Falkor expedition FK181005 2018 (Chief Scientist: Dr. Peter Girguis).These reports are of PDF format.
DOI: 10.1594/ieda/324663
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK181005 (2018)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK181005 conducted in 2018 (Chief Scientist: Dr. Peter Girguis). These data files are of Text File (ASCII) format and include Vehicle Navigation, Oxygen Sensor, CTD and Temperature probe data that have not been processed.