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

description: A dataset containing 29488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Molothrus ater)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 29488 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025946-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89xnmh
title: Occurrence Download

description: A dataset containing 7572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON ((-97.87122 17.42636, -97.86391 17.35143, -97.83552 17.26633, -97.83944 17.22082, -97.84634 17.18861, -97.77048 17.06748, -97.72101 17.04396, -97.67577 16.94096, -97.66476 16.94384, -97.66565 16.97377, -97.68681 17.05908, -97.65104 17.08163, -97.63068 17.07315, -97.62418 17.02036, -97.62862 16.98916, -97.61838 16.98866, -97.60488 17.03195, -97.59563 17.05492, -97.55674 17.09305, -97.58185 17.15194, -97.58257 17.22982, -97.61264 17.25139, -97.60899 17.2969, -97.59949 17.33349, -97.59896 17.38246, -97.61099 17.4034, -97.62492 17.41824, -97.62515 17.46452, -97.64122 17.47872, -97.65994 17.52392, -97.68801 17.56314, -97.69892 17.56842, -97.70852 17.52637, -97.72872 17.52769, -97.76407 17.55715, -97.78556 17.5459, -97.81633 17.53002, -97.87466 17.56658, -97.90991 17.6273, -97.9271 17.64115, -97.94063 17.63896, -97.94276 17.61551, -97.92323 17.54787, -97.91124 17.54294, -97.91831 17.52228, -97.90086 17.50298, -97.87491 17.48391, -97.87122 17.42636))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 7572 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025950-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xt3urw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliophila vlokii"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025952-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rswtsd
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthophthalmus kuhlii sumatranus"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025953-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg7647
title: Occurrence Download

description: A dataset containing 13096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia dealbata",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13096 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025954-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6pvxt
title: Occurrence Download

description: A dataset containing 7260160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Molothrus ater)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 7260160 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025919-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxp9xc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Molothrus ater)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025955-250711103210423/datasets/export for details.
DOI: 10.15468/dl.jrefty
title: Occurrence Download

description: A dataset containing 8205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON ((-99.69341 17.50438, -99.65889 17.52621, -99.65905 17.53658, -99.65177 17.5485, -99.66477 17.59045, -99.68784 17.59742, -99.69729 17.58519, -99.70534 17.5694, -99.7298 17.55655, -99.7363 17.54695, -99.72144 17.53937, -99.72377 17.51434, -99.70441 17.53674, -99.69341 17.50438))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 8205 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025956-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hx7rd
title: Occurrence Download

description: A dataset containing 493698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopochen aegyptiaca",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 493698 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025927-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy43c4
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptanthus oliganthus"
 ]
}

 The dataset includes 131 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025957-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfgxyt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthophthalmus sumatranus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025958-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29586437
title: Mobile Mapping of Urban Methane Emissions in Montreal (2019–2024)

description: This dataset contains raw, processed, and auxiliary data collected as part of a four-year mobile methane measurement campaign in Montreal, Canada, covering 2019, 2022, 2023, and 2024. The goal of the project was to identify and quantify methane emission hotspots from landfills, natural gas infrastructure, and other urban sources, and to inform spatially resolved emissions assessments for urban climate mitigation.Measurements were collected using vehicle-mounted gas analyzers, and emissions were estimated using a Gaussian plume inversion model. <br>
DOI: 10.6084/m9.figshare.29586437.v1
title: Mobile Mapping of Urban Methane Emissions in Montreal (2019–2024)

description: This dataset contains raw, processed, and auxiliary data collected as part of a four-year mobile methane measurement campaign in Montreal, Canada, covering 2019, 2022, 2023, and 2024. The goal of the project was to identify and quantify methane emission hotspots from landfills, natural gas infrastructure, and other urban sources, and to inform spatially resolved emissions assessments for urban climate mitigation.Measurements were collected using vehicle-mounted gas analyzers, and emissions were estimated using a Gaussian plume inversion model. <br>
DOI: 10.15468/dl.c27bz3
title: Occurrence Download

description: A dataset containing 117843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopochen aegyptiaca",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 117843 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025926-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1389112.10fu
title: SH1389112.10FU

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/sh1389113.10fu
title: SH1389113.10FU

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/sh1389116.10fu
title: SH1389116.10FU

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/sh1389117.10fu
title: SH1389117.10FU

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/sh1389118.10fu
title: SH1389118.10FU

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/sh1389119.10fu
title: SH1389119.10FU

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/sh1389120.10fu
title: SH1389120.10FU

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/sh1389121.10fu
title: SH1389121.10FU

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/sh1389124.10fu
title: SH1389124.10FU

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.ms8n2p
title: Occurrence Download

description: A dataset containing 5370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dileptus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5370 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033818-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/q56df
title: Longitudinal Trajectories of War-Related Traumatic Stress in Ukrainian Refugees
DOI: 10.15468/dl.kmkbku
title: Occurrence Download

description: A dataset containing 10518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe, North America, South America)",
 "TaxonKey is Remiz consobrinus"
 ]
}

 The dataset includes 10518 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033820-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5e6bs
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaurornis phoenicurus"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033821-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w45jp4
title: Occurrence Download

description: A dataset containing 5372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Austroclima",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5372 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033822-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aw7wen
title: Occurrence Download

description: A dataset containing 5270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilyarachna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5270 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033824-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.