cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v2k2kf
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela nigripes"
 ]
}

 The dataset includes 1925 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002019-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17225728
title: Acessibilidade em Aplicativos Governamentais Móveis
DOI: 10.5281/zenodo.17225727
title: Acessibilidade em Aplicativos Governamentais Móveis
DOI: 10.15468/dl.nqytya
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Amaranthus greggii"
 ]
}

 The dataset includes 431 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002020-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.pof.31116484
title: Supplement 2

description: Dataset used in the paper
DOI: 10.60893/figshare.pof.31116484.v1
title: Supplement 2

description: Dataset used in the paper
DOI: 10.6084/m9.figshare.31291042
title: Posterior Arcuate Exclusion ROIs

description: Posterior Arcuate ROIs used by pyAFQ to identify the Posterior Arcuate.
DOI: 10.6084/m9.figshare.31291042.v1
title: Posterior Arcuate Exclusion ROIs

description: Posterior Arcuate ROIs used by pyAFQ to identify the Posterior Arcuate.
DOI: 10.15468/dl.q4xgv4
title: Occurrence Download

description: A dataset containing 19422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cynomys ludovicianus"
 ]
}

 The dataset includes 19422 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002021-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.pop.31079224
title: Equation of State

description: Equation of State
DOI: 10.60893/figshare.pop.31079224.v1
title: Equation of State

description: Equation of State
DOI: 10.5281/zenodo.18530539
title: SuperDARN data in netCDF format (2021-Jan)

description: 2021-Jan SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7622337
title: SuperDARN data in netCDF format (2021-Jan)

description: 2021-Jan SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.w2fmt6
title: Occurrence Download

description: A dataset containing 12469 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= 69.0769461528656
 AND decimallongitude &lt;= 77.9229717807129
 AND GBIF_Within('POLYGON ((77.922972 37.428574, 77.922972 41.894152, 69.076946 41.894152, 69.076946 37.428574, 77.922972 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 12469 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002016-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzf2mf
title: Occurrence Download

description: A dataset containing 939520 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Egernia cunninghami",
 "TaxonKey is Eirene mollis",
 "TaxonKey is Eledone cirrhosa",
 "TaxonKey is Eledonella pygmaea",
 "TaxonKey is Eleginus gracilis",
 "TaxonKey is Ena obscura",
 "TaxonKey is Epicrates cenchria",
 "TaxonKey is Eriphia spinifrons",
 "TaxonKey is Eryx colubrinus",
 "TaxonKey is Esomus danrica",
 "TaxonKey is Esox lucius",
 "TaxonKey is Esox masquinongy",
 "TaxonKey is Etheostoma boschungi",
 "TaxonKey is Etheostoma duryi",
 "TaxonKey is Etheostoma flabellare",
 "TaxonKey is Etheostoma fusiforme",
 "TaxonKey is Etheostoma rufilineatum",
 "TaxonKey is Etheostoma squamiceps",
 "TaxonKey is Eumeces obsoletus",
 "TaxonKey is Euphausia superba",
 "TaxonKey is Eurythenes gryllus",
 "TaxonKey is Euterpina acutifrons",
 "TaxonKey is Euthemisto compressa",
 "TaxonKey is Euthemisto libellula",
 "TaxonKey is Exodon paradoxus",
 "TaxonKey is Fundulus heteroclitus",
 "TaxonKey is Fundulus parvipinnis",
 "TaxonKey is Fundulus similis"
 ]
 },
 "HasCoordinate is true"
 ]
}

 The dataset includes 939520 records from 1190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001978-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wywyzx
title: Occurrence Download

description: A dataset containing 698 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia murilloi"
 ]
}

 The dataset includes 698 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002027-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18531118
title: Mechanisms and Environmental Indicators for Severe Convective Wind in a Convection-Permitting Model

description: Data used in the manuscript "Mechanisms and Environmental Indicators for Severe Convective Wind in a Convection-Permitting Model", which was submitted to Geophysical Research Letters
DOI: 10.5281/zenodo.18531117
title: Mechanisms and Environmental Indicators for Severe Convective Wind in a Convection-Permitting Model

description: Data used in the manuscript "Mechanisms and Environmental Indicators for Severe Convective Wind in a Convection-Permitting Model", which was submitted to Geophysical Research Letters
DOI: 10.5281/zenodo.18531507
title: Stablecoin DeFi Hourly Dataset (weekly snapshot) - 2026-02-09

description: Weekly snapshot uploaded automatically from the GitHub rolling release `data-latest`.

Source release: https://github.com/MSCA-DN-Digital-Finance/stablecoin-onchain-data/releases/tag/data-latest
Release created at: 2026-01-20T12:09:16Z

Files included: AAVE, Uniswap, Curve, ETH blocks mapping (ZIP archives).
DOI: 10.34740/kaggle/ds/6063456
title: student lifestyle dataset
DOI: 10.15468/dl.u58jd7
title: Occurrence Download

description: A dataset containing 1351 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= 74.83335833227108
 AND decimallongitude &lt;= 83.91704653307544
 AND GBIF_Within('POLYGON ((83.917047 37.428574, 83.917047 41.894152, 74.833358 41.894152, 74.833358 37.428574, 83.917047 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 1351 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002028-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un9adz
title: Occurrence Download

description: A dataset containing 210919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Temora",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 210919 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002012-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0163739.10fu
title: SH0163739.10FU

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/sh0163740.10fu
title: SH0163740.10FU

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/sh0163741.10fu
title: SH0163741.10FU

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/sh0163742.10fu
title: SH0163742.10FU

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.jfvxyx
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.856083 23.388769, 71.779573 23.383193, 71.704966 23.366601, 71.63411600000001 23.339406, 71.56878 23.302285, 71.510575 23.256159, 71.460937 23.202172, 71.421086 23.141662, 71.391994 23.076126, 71.374363 23.007185, 71.368612 22.936538, 71.374863 22.865928, 71.392944 22.797091, 71.422394 22.731718, 71.462475 22.671413, 71.512191 22.617653, 71.570317 22.571755, 71.635423 22.534839, 71.705916 22.507807, 71.780073 22.49132, 71.856083 22.485779, 71.93209299999999 22.49132, 72.00624999999999 22.507807, 72.07674299999999 22.534839, 72.14184899999999 22.571755, 72.19997499999999 22.617653, 72.249691 22.671413, 72.289772 22.731718, 72.319222 22.797091, 72.33730300000001 22.865928, 72.343554 22.936538, 72.33780299999999 23.007185, 72.320172 23.076126, 72.29107999999999 23.141662, 72.251229 23.202172, 72.20159099999999 23.256159, 72.14338600000001 23.302285, 72.07805 23.339406, 72.0072 23.366601, 71.932593 23.383193, 71.856083 23.388769))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 212 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001130-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0163743.10fu
title: SH0163743.10FU

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/sh0163744.10fu
title: SH0163744.10FU

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/sh0163745.10fu
title: SH0163745.10FU

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/sh0163746.10fu
title: SH0163746.10FU

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/sh0163747.10fu
title: SH0163747.10FU

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.