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

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((118.24902522563934 21.818358704447746,122.24902522563934 21.818358704447746,122.24902522563934 25.818358704447746,118.24902522563934 25.818358704447746,118.24902522563934 21.818358704447746))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Utricularia aurea Lour."
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279259-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iij5pv
title: Occurrence Download

description: A dataset containing 339228 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vulpes vulpes (Linnaeus, 1758)"
 ]
}

 The dataset includes 339228 records from 572 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009478-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5q8tjx
title: Occurrence Download

description: A dataset containing 9137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyperus odoratus L."
 ]
}

 The dataset includes 9137 records from 393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157556-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnuxcq
title: Occurrence Download

description: A dataset containing 14411 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Jardín Botánico Atlántico, Gijón/Xixón: Herbarium JBAG-Laínz"
 ]
}

 The dataset includes 14411 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023359-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh27kj
title: Occurrence Download

description: A dataset containing 2462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sonchus maritimus L.",
 "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 2462 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007182-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbmqdr
title: Occurrence Download

description: A dataset containing 5272 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Norway",
 "Country is Sweden",
 "Country is Germany",
 "Country is Belgium",
 "Country is Czechia",
 "Country is Austria"
 ]
 },
 "Year 2019-2019",
 "HasCoordinate is true",
 "TaxonKey is Lupinus polyphyllus Lindl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5272 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009435-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25xmka
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dichapetalum moralesii Prance"
 ]
}

 The dataset includes 74 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157557-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yc38wa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-165 -30,-157.5 -30,-157.5 -22.5,-165 -22.5,-165 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041051-251009101135966/datasets/export for details.
DOI: 10.15468/dl.5hh297
title: Occurrence Download

description: A dataset containing 1542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Grus leucogeranus"
 ]
}

 The dataset includes 1542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041052-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdxztd
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis nigrescens var. lonchopoda Barneby"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004124-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b96ku2
title: Occurrence Download

description: A dataset containing 539964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.8121 7.201,-72.36509 7.201,-72.36509 11.13873,-73.8121 11.13873,-73.8121 7.201))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 539964 records from 551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026799-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztwftk
title: Occurrence Download

description: A dataset containing 18114134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 18114134 records from 1618 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032791-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-0359
title: Conditions de vie - 1978-1979

description: L'Insee a réalisé en 1978-1979 une première enquête portant sur l'étude du cumul des situations défavorisées dans les modes de vie individuels. L'enquête a été menée à titre expérimental sur un petit échantillon (6000 ménages) et uniquement dans les agglomérations de plus de 100 000 habitants. Cette enquête tentait une approche multidimensionnelle des "pauvretés" en analysant comment interfèrent et s'agencent entre elles les diverses dimensions de pauvreté. Elle s'adressait à l'ensemble de la population sans cibler à priori de populations particulières. L'enquête s'est déroulée en 2 temps. D'abord l'enquêteur recueillait des informations sur les caractéristiques du ménage, sa composition, son logement, son patrimoine, ainsi que sur les différents types de ressources dont avait bénéficié chacun des membres durant l'année 1977. A la fin de cette 1ère visite, un individu de plus de 18 ans était tiré au sort. Il était ensuite interrogé sur son emploi, ses relations, son état de santé et sur un ensemble de renseignements biographiques.
DOI: 10.15468/dl.47p6nt
title: Occurrence Download

description: A dataset containing 1204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callionymus maculatus Rafinesque, 1810",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1204 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004296-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-0363
title: Base de données communales du recensement de la population - 1990

description: Ensemble des informations disponibles sur la population des communes de France métropolitaine, des Départements d'Outre-Mer (DOM) et de Saint-Pierre-et-Miquelon, établies dans le découpage territorial en vigueur à la date de référence du recensement, soit le 5 mars 1990 pour la métropole et St Pierre-et-Miquelon et le 15 mars pour les DOM. Le fichier a été établi à partir des résultats du recensement général de la population de 1990 et des recensements antérieurs. Il compte 36 685 enregistrements : un enregistrement pour chacune des communes de métropole (hormis Paris), soit 36 550 enregistrements ; un enregistrement pour chacun des 20 arrondissements municipaux de la commune de Paris ; un enregistrement pour chacune des communes des départements d'outre-mer, soit 113 enregistrements ; un enregistrement pour chacune des  2 communes de la collectivité territoriale de Saint-Pierre-et-Miquelon. Chaque enregistrement communal se compose de 109 variables : 39 codes et 70 données numériques ; dont un rappel des données des RP antérieurs (1936, 1954, 1962, 1968, 1975, 1982).
DOI: 10.13144/lil-0365
title: Budget des familles - 2005-2006

description: L'enquête « Budget des Familles» a été réalisée dans la continuité des enquêtes budget menées par l'INSEE à un rythme quinquennal depuis 1979. Elle a pour objectif central l'étude des dépenses (montant et nature) et des ressources des ménages. Toutes les dépenses sont enregistrées et ventilées selon une nomenclature en 900 postes, compatible avec la nomenclature européenne COICOP (Classification Of Individual Comsuption Of Purpose), utilisée également par la Comptabilité nationale et pour l'élaboration de l'indice des prix. Toutes les dépenses sont couvertes y compris celles qui ne relèvent pas de la consommation des biens et services (impôts, taxes, primes d'assurance, transferts interménages, achats de biens d'occasion et remboursement de crédits notamment). Outre les dépenses monétaires, l'enquête recueille les consommations ne donnant pas lieu à contrepartie financière (autoconsommation alimentaire, avantages en nature fournis par l'employeur, transferts non monétaires entre ménages). Ces données sont complétées, pour certains postes budgétaires, par des informations d'ordre qualitatif sur l'équipement du ménage, les quantités achetées, ou encore, depuis 2001 les lieux d'achat. Depuis 1994-1995 l'étude des ressources (revenus, prestations sociales, sommes provenant d'autres ménages, héritage, primes de licenciement, loto ...) est devenue un autre objectif de l'enquête. Elle permet de comparer les niveaux de vie et les choix de consommation des diverses catégories de ménage tant sur le plan économique (tendance à long terme et facteurs explicatifs de la consommation) que sociale (études de la pauvreté, des inégalités, etc.).
DOI: 10.15156/bio/sh0174926.10fu
title: SH0174926.10FU

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/sh0174927.10fu
title: SH0174927.10FU

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/sh0174928.10fu
title: SH0174928.10FU

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/sh0174929.10fu
title: SH0174929.10FU

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/sh0174930.10fu
title: SH0174930.10FU

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/sh0174931.10fu
title: SH0174931.10FU

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/sh0174932.10fu
title: SH0174932.10FU

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/sh0174933.10fu
title: SH0174933.10FU

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/sh0174934.10fu
title: SH0174934.10FU

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/sh0174935.10fu
title: SH0174935.10FU

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.