cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13144/lil-1224
title: Statistiques sur les ressources et les conditions de vie - 2016

description: L'enquête statistique sur les ressources et conditions de vie (Dispositif SRCV) est la partie française du système communautaire EU-SILC (European union-Statistics on income and living conditions). Il a pris la suite en 2004 de l'ancien Panel européen, European Community Households Panel (ECHP), interrompu en 2001. L'enquête de 2016 constitue la 13ème année de collecte. Ce dispositif est une enquête de cadrage général couvrant de nombreux thèmes sur les revenus (de l'année civile précédant la collecte), la situation financière et les conditions de vie des ménages. Elle sert de référence pour les comparaisons de distributions des revenus entre États membres de l'Union Européenne et pour les actions communautaires de lutte contre l'exclusion. Les données sont collectées annuellement au moyen d'une enquête en panel. L'enquête a obtenu le label d'intérêt général et de qualité statistique. Elle est obligatoire lorsqu'elle constitue l'une des 4 premières interrogations annuelles d'un ménage ; elle est facultative pour les interrogations ultérieures.  Le questionnaire est composé du tronc commun des enquêtes ménages, d'un questionnaire ménage et d'un questionnaire individu. De plus et depuis 2010, un questionnaire auto-administré (papier ou Internet) a été proposé aux individus des ménages interrogés pour la troisième année consécutive (soit environ 1 800 ménages et 3 800 individus âgés de 16 ans ou plus), pour approfondir la mesure du bien-être subjectif. Le questionnaire ménage aborde les thèmes suivants : composition familiale, conditions de logement (résidence principale), conditions de vie, et revenus (non individualisables) sur la période de référence. Le questionnaire individuel aborde, lui, la biographie et les ressources culturelles, l'activité, l'emploi, la profession, les revenus (individualisables) sur la période de référence et la santé. Depuis 2008, la plupart des informations sur les revenus sont collectées par appariement avec des sources administratives et fiscales. Le dispositif SRCV intègre également l'ajout d'un module spécifique chaque année : le module secondaire de 2016 porte sur l'accès aux services. Le bloc "indicateurs sociaux" de 2016 porte, lui, sur la participation sociale, relations professionnelles, vie associative (comme en 2013 avec la santé en moins). Pour l'enquête 2016, 11 459 ménages et 26 647 individus sont interrogés.
DOI: 10.15468/dl.rlahr0
title: Occurrence Download

description: A dataset containing 40321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medicago arabica (L.) Huds."
 ]
}

 The dataset includes 40321 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007974-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hv7yjc
title: Occurrence Download

description: A dataset containing 2348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagina japonica (Sw. ex Steud.) Ohwi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2348 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043409-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68r35k
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aiphanes grandis Borchs. & Balslev"
 ]
}

 The dataset includes 27 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035072-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8g9so
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrophis torquatus Murphy, Cox & Voris, 1999",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007974-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4az6k
title: Occurrence Download

description: A dataset containing 7985 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kalanchoe pinnata (Lam.) Pers."
 ]
}

 The dataset includes 7985 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035139-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.959s5c
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016717-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k93jcu
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streblus macrophyllus Blume"
 ]
}

 The dataset includes 146 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007974-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2h2me
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juglans hopeiensis Hu"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035106-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmkm26
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adinandra glischroloma Hand.-Mazz."
 ]
}

 The dataset includes 384 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016698-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kknbha
title: Occurrence Download

description: A dataset containing 72606 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum officinale Weber ex F.H.Wigg."
 ]
}

 The dataset includes 72606 records from 813 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007979-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.su2skw
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidiaspis leperii (Signoret, 1869)"
 ]
}

 The dataset's 4 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035158-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kdxxs
title: Occurrence Download

description: A dataset containing 840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Europe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia daurica Andrews"
 ]
}

 The dataset includes 840 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043415-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9br6q2
title: Occurrence Download

description: A dataset containing 10559657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10559657 records from 3117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014692-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ptcsv
title: Occurrence Download

description: A dataset containing 7582 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Otonga"
 ]
}

 The dataset includes 7582 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044117-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udymym
title: Occurrence Download

description: A dataset containing 4186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eschweilera coriacea (DC.) S.A.Mori"
 ]
}

 The dataset includes 4186 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339061-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxmm3b
title: Occurrence Download

description: A dataset containing 1810 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Human Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Laguncularia racemosa (L.) C.F.Gaertn."
 ]
}

 The dataset includes 1810 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033680-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqscd8
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Thecla betulae (Linnaeus, 1758)"
 ]
}

 The dataset includes 174 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024160-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kxuq9
title: Occurrence Download

description: A dataset containing 572 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Código de barras genético de especies de anfibios y reptiles de México"
 ]
}

 The dataset includes 572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078504-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh84ss
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Anoplius aethiops (Cresson, 1865)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012033-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frqshw
title: Occurrence Download

description: A dataset containing 43164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Biscutella L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43164 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033366-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knqdsw
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-96.9137 18.04724,-95.48547 16.37732,-94.73785 16.66077,-93.73041 17.9967,-92.93939 17.7605,-92.62389 17.99302,-95.67224 18.86023,-96.9137 18.04724))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thorichthys callolepis (Regan, 1904)"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042472-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9om2q
title: Occurrence Download

description: A dataset containing 748195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2001",
 "Month is March",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 748195 records from 1461 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034813-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0177024.10fu
title: SH0177024.10FU

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/sh0177025.10fu
title: SH0177025.10FU

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: 10.5281/zenodo.18199752
title: Bilberry Tingvoll Norway
DOI: 10.5281/zenodo.18199753
title: Bilberry Tingvoll Norway
DOI: 10.15156/bio/sh0177026.10fu
title: SH0177026.10FU

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/sh0177027.10fu
title: SH0177027.10FU

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/sh0177028.10fu
title: SH0177028.10FU

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/sh0177029.10fu
title: SH0177029.10FU

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/sh0177030.10fu
title: SH0177030.10FU

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/sh0177031.10fu
title: SH0177031.10FU

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.