cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zkereg
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jatropha lagarinthoides Sond."
 ]
}

 The dataset includes 83 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034577-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxthaa
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adiantum kingii Copel."
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016506-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whozv2
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balitora Gray, 1830"
 ]
}

 The dataset includes 90 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008128-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5arym
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris iberica Steven"
 ]
}

 The dataset includes 158 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034538-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9d9zms
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adiantum klossii A.Gepp"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016510-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3decsv
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris kirkwoodiae Chaudhary"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034587-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhr3um
title: Occurrence Download

description: A dataset containing 8131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coleoptera",
 "HasCoordinate is true",
 "Geometry POLYGON((165.234375 -33.431441,165.234375 -49.152969,180 -49.152969,180 -33.431441,165.234375 -33.431441))",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 }
 ]
}

 The dataset includes 8131 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008128-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu2qfa
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adiantum japonicum T.Zhao, Z.Y.Zuo, J.Wen & J.Mei Lu"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016501-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1ym3m2
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phaius wallichii Lindl."
 ]
}

 The dataset includes 44 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008128-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vqfxd
title: Occurrence Download

description: A dataset containing 2228 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglaia elaeagnoidea (A.Juss.) Benth."
 ]
}

 The dataset includes 2228 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034606-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ee3snc
title: Occurrence Download

description: A dataset containing 8447267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8447267 records from 2736 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034545-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17957426
title: RCS-UKC4 configuration paper data and code

description: This folder includes the data and code behind each Figure of the paper submitted to GMD:

Km-scale regional coupled system for the Northwest European shelf for weather and climate applications: RCS-UKC4

Ségolène Berthou1, Juan Manuel Castillo1, Vivian Fraser-Leonhardt2, Sana Mahmood1, Nefeli Makrygianni1, Alex Arnold1, Claudio Sanchez1, Huw Lewis1, Dale Partridge3, Martin Best1, Lucy Bricheno4, Helen Davies5, Douglas Clark5, James R. Clark3, Jeff A. Polton4, Andrew Saulter1, Chris J. Short6, Jonathan Tinker1, Simon Tucker6

1 Met Office, Exeter, United Kingdom

2 University of Reading, Reading, United Kingdom

3 Plymouth Marine Laboratory, Plymouth, United Kingdom

4 National Oceanography Centre, Liverpool, United Kingdom

5 UK Centre for Ecology and Hydrology, Wallingford, United Kingdom

6 Met Office Hadley Centre, Exeter, United Kingdom
DOI: 10.5281/zenodo.17957427
title: RCS-UKC4 configuration paper data and code

description: This folder includes the data and code behind each Figure of the paper submitted to GMD:

Km-scale regional coupled system for the Northwest European shelf for weather and climate applications: RCS-UKC4

Ségolène Berthou1, Juan Manuel Castillo1, Vivian Fraser-Leonhardt2, Sana Mahmood1, Nefeli Makrygianni1, Alex Arnold1, Claudio Sanchez1, Huw Lewis1, Dale Partridge3, Martin Best1, Lucy Bricheno4, Helen Davies5, Douglas Clark5, James R. Clark3, Jeff A. Polton4, Andrew Saulter1, Chris J. Short6, Jonathan Tinker1, Simon Tucker6

1 Met Office, Exeter, United Kingdom

2 University of Reading, Reading, United Kingdom

3 Plymouth Marine Laboratory, Plymouth, United Kingdom

4 National Oceanography Centre, Liverpool, United Kingdom

5 UK Centre for Ecology and Hydrology, Wallingford, United Kingdom

6 Met Office Hadley Centre, Exeter, United Kingdom
DOI: 10.15156/bio/sh0176635.10fu
title: SH0176635.10FU

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/sh0176636.10fu
title: SH0176636.10FU

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/sh0176637.10fu
title: SH0176637.10FU

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: 10.17632/rn4pnyzdwb
title: The linestring data used in the reproducible visual exploration framework

description: The geospatial vector linestring data which records global roads
DOI: 10.15156/bio/sh0176638.10fu
title: SH0176638.10FU

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: 10.7910/dvn/pb8xw0
title: Time Series of Potential U.S. Wildland Fire Smoke Exposures (WFSmokeExp)

description: The Time Series of Potential US Wildland Fire Smoke Exposures (WFSmokeExp) data represent a spatial and temporal intersection of U.S. population data with wildfire smoke data from 2010 – 2019. Data from NOAA’s Hazard Mapping System’s Smoke Product are combined with data from the U.S. Census Block Group Population Centers to estimate a potential exposure using light, medium, or heavy categories. The result is a table of locations and daily smoke observations with each row displaying data for a single block group and day. The data are stored in csv format in the Harvard Dataverse Repository, a free data repository, and are useful in helping to understand the burden of wildfire smoke on communities across the U.S. The data set also encourages more research on impacts of wildfire smoke on the health of U.S. Populations.
DOI: 10.17632/rn4pnyzdwb.1
title: The linestring data used in the reproducible visual exploration framework

description: The geospatial vector linestring data which records global roads
DOI: 10.15156/bio/sh0176639.10fu
title: SH0176639.10FU

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/sh0176640.10fu
title: SH0176640.10FU

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/sh0176641.10fu
title: SH0176641.10FU

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/sh0176642.10fu
title: SH0176642.10FU

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/sh0176643.10fu
title: SH0176643.10FU

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/sh0176644.10fu
title: SH0176644.10FU

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.1jg9tc
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Belgium",
 "TaxonKey is Silurus glanis Linnaeus, 1758"
 ]
}

 The dataset includes 240 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006340-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpmnrn
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa cumingii Trin."
 ]
}

 The dataset includes 73 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043990-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj8agt
title: Occurrence Download

description: A dataset containing 8356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.92885 40.22258,-69.75895 40.22258,-69.75895 43.49382,-87.92885 43.49382,-87.92885 40.22258))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rana sylvatica LeConte, 1825"
 ]
}

 The dataset includes 8356 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038475-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kxzek
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is On some extinct reptiles and batrachia from the Judith River and Fox Hills beds of Montana"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112127-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nabgy
title: Occurrence Download

description: A dataset containing 1821 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagocephalus sceleratus (Gmelin, 1789)"
 ]
}

 The dataset includes 1821 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004093-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7vs7d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasiopogon rokuroi Hradský, 1981",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209325-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fixyyv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "MediaType is Image",
 "Geometry POLYGON((-0.1418 5.55298,0.01562 5.55298,0.01562 5.6646,-0.1418 5.6646,-0.1418 5.55298))",
 "HasCoordinate is true",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004253-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.