cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13144/lil-1180
title: Statistiques sur les ressources et les conditions de vie - 2015

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 2015 constitue la 12ème 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 2015 porte (comme en 2006) sur la participation sociale. Le bloc "indicateurs sociaux" de 2015 porte, lui, sur les pratiques sportives, culturelles et les loisirs (comme en 2012). Pour l'enquête 2015, 11 390 ménages et 26 644 individus sont interrogés.
DOI: 10.15468/dl.qkq4jt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Limacolasia thermistis (Hampson, 1910), Limacolasia dubiosa Hering, 1931, Limacolasia ruficollaris Hering, 1931, Limacolasia thermistis (Hampson, 1910), Limacolasia suffusca Solovyev & Witt, 2009)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004349-250415084134356/datasets/export for details.
DOI: 10.15468/dl.fnr6qs
title: Occurrence Download

description: A dataset containing 12491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sturnia sinensis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12491 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014630-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.29753.43364
title: EM STEPS Analysis of PERS038-2S4 180-1 60 Real World Data by the Persian Curve (PC) EM STEP 07 PERSIAN QUANTILE COMPLETE
DOI: 10.57755/1aw1-ck65
title: Post mortem dissection of septal pouch raw data from the examination of feline cardiac samples

description: <p>The data were obtained as part of the project entitled: The dissection of a septal pouch allowing to preserve the present thrombi and to evaluate the relationship between thrombus and endocardium in the context of the study on human ischemic brain stroke conducted on animal model - preliminary study, project number 2024/08/X/NZ4/00518 financed by National Science Centre. The project used cardiac samples obtained from cats. The hearts were weighed and measured and the intact atria were dissected using various dissection angle (from 30 to 150 degrees). Data set contains raw data acquired from post mortem dissection of feline hearts samples, evaluating the possibilities to obtain a septal pouch specimen together with left atrial inner material suitable for further examination.<br /></p>
DOI: 10.15468/dl.9eg9rw
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amelanchier lamarckii",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014632-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuusrq
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amelanchier lamarckii",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 128 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014633-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfaf6b
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amelanchier lamarckii",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014634-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dnxf3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Oryza sativa glutinosa)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014635-250920141307145/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13165435
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.yah3ss
title: Occurrence Download

description: A dataset containing 3222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sturnus vulgaris",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3222 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014636-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysuwba
title: Occurrence Download

description: A dataset containing 2128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amelanchier lamarckii",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2128 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014637-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ans6fa
title: Occurrence Download

description: A dataset containing 27400 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Secale cereale)"
 ]
}

 The dataset includes 27400 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014638-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yjfek
title: Occurrence Download

description: A dataset containing 1033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Tremarctos ornatus"
 ]
}

 The dataset includes 1033 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014639-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8xaek
title: Occurrence Download

description: A dataset containing 6474974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Geometry POLYGON((-180 -58,180 -58,180 84,-180 84,-180 -58))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year is 2018"
 ]
}

 The dataset includes 6474974 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014577-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kn3vtm
title: Occurrence Download

description: A dataset containing 44178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platalea minor",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44178 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014640-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuz4s8
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Equisetaceae"
 ]
}

 The dataset includes 29 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014641-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puubpk
title: Occurrence Download

description: A dataset containing 10237 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Setaria italica)"
 ]
}

 The dataset includes 10237 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014642-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9sqfp
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aronia melanocarpa",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014643-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bhrfh
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aronia melanocarpa",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 150 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014644-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z4a92
title: Occurrence Download

description: A dataset containing 990068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 1980"
 ]
}

 The dataset includes 990068 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014574-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0176915.10fu
title: SH0176915.10FU

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/sh0176916.10fu
title: SH0176916.10FU

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/sh0176917.10fu
title: SH0176917.10FU

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/sh0176918.10fu
title: SH0176918.10FU

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/sh0176919.10fu
title: SH0176919.10FU

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/sh0176920.10fu
title: SH0176920.10FU

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/sh0176921.10fu
title: SH0176921.10FU

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/sh0176922.10fu
title: SH0176922.10FU

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.