cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d8h7em
title: Occurrence Download

description: A dataset containing 42058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((39.45953 20.84275,42.9623 16.8319,44.07908 17.72089,47.16668 17.28232,49.79442 18.89514,54.83901 20.11133,55.67755 22.68233,52.00953 22.68233,51.46647 23.44486,50.18376 25.22842,49.53164 27.40148,47.80734 28.62528,44.71424 29.13225,41.12288 31.35022,37.58118 29.89706,35.18245 27.91738,39.45953 20.84275))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2019-2022"
 ]
}

 The dataset includes 42058 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233088-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn4c6c
title: Occurrence Download

description: A dataset containing 695 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platyrrhinus umbratus (Lyon, 1902)"
 ]
}

 The dataset includes 695 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278620-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty47j9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porifera",
 "DatasetKey is Welsh Invertebrate Database (WID)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207443-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fq882m
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllodactylus sentosus Dixon & Huey, 1970"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278624-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rwxwz
title: Occurrence Download

description: A dataset containing 1034 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleistodontes imperialis Saunders, 1882"
 ]
}

 The dataset includes 1034 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231024-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhm6v6
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sturnira aratathomasi Peterson & Tamsitt, 1968"
 ]
}

 The dataset includes 84 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278634-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8ak6d
title: Occurrence Download

description: A dataset containing 144893 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Occurrence evidence, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lutra lutra (Linnaeus, 1758), Neusticomys vossii Hanson, D'Elía, Westerman-Ayers, Cox, Burneo & Lee, 2015)",
 "Year 2002-2022"
 ]
}

 The dataset includes 144893 records from 594 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234683-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d64ku6
title: Occurrence Download

description: A dataset containing 1784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Laminaria digitata (Huds.) J.V.Lamour.",
 "Year 1999-2010"
 ]
}

 The dataset includes 1784 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278645-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkgfyr
title: Occurrence Download

description: A dataset containing 2090 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Utricularia inflata Walter"
 ]
}

 The dataset includes 2090 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231028-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8r6ax
title: Occurrence Download

description: A dataset containing 1058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla flabellifolia Hook. ex Torr. & A.Gray",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1058 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278650-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dk5aft
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monstera amargalensis Croat & M.M.Mora"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043276-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyfmmk
title: Occurrence Download

description: A dataset containing 3019 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anaxagorea dolichocarpa Sprague & Sandwith"
 ]
}

 The dataset includes 3019 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278654-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p73mr5
title: Occurrence Download

description: A dataset containing 47405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-106.46153 35.34962,-106.5925 35.29085,-106.67109 35.17316,-106.66454 35.00437,-106.64162 34.89164,-106.4517 34.85135,-106.28799 34.97754,-106.2356 35.18387,-106.3371 35.34962,-106.46153 35.34962))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 47405 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233089-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxv5bn
title: Occurrence Download

description: A dataset containing 1106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutellaria siphocampyloides Vatke"
 ]
}

 The dataset includes 1106 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121880-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3h5dz5
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Tuber P.Micheli ex F.H.Wigg."
 ]
}

 The dataset includes 81 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238290-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6g4xwd
title: Occurrence Download

description: A dataset containing 9831 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Marine biodiversity data from Seawatchers Marine Citizen Science Platform 1980-2020"
 ]
}

 The dataset includes 9831 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025199-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3tqgu
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "TaxonKey is Phoracantha recurva Newman, 1840"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246934-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phdumd
title: Occurrence Download

description: A dataset containing 1096747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.8796086666666671 32.097476, 35.924964333333335 32.097476, 35.924964333333335 49.184106666666665, 1.8796086666666671 49.184106666666665, 1.8796086666666671 32.097476))",
 "EventDate is 2022-06-01,2022-06-30"
 ]
}

 The dataset includes 1096747 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025198-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nwcf6
title: Occurrence Download

description: A dataset containing 17646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "TaxonKey is Gadus morhua Linnaeus, 1758"
 ]
}

 The dataset includes 17646 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195725-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpmxlr
title: Occurrence Download

description: A dataset containing 5577584 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 5577584 records from 1805 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004745-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-1659
title: Enquête Formation tout au long de la vie (FLV) - 2022

description: L'enquête Formation tout au long de la vie 2022 est la réédition des enquêtes sur la formation des adultes (AES, Adult Education Survey), à laquelle est adossé un module sur les compétences issu des précédentes enquêtes IVQ (Information et Vie Quotidienne). L'enquête vise à mesurer et caractériser d'une part la participation des adultes à la formation, selon des concepts définis au niveau européen, et d'autre part les compétences des adultes dans des situations de la vie quotidienne (écrit, calcul, usage d'Internet).  Le volet sur la formation permet entre autres de décrire les formations suivies (niveau, domaine, durée, etc.) et le profil des personnes qui en bénéficient. Il permet également de connaître les difficultés rencontrées pour accéder aux formations ou les raisons qui conduisent à ne pas en suivre. Le volet sur les compétences s'attache avant tout à évaluer les compétences en lecture et en écriture dans les gestes courants de la vie personnelle et professionnelle. Des variables sociodémographiques (âge, sexe, diplôme, situation sur le marché du travail…) permettent de mener des analyses différenciées par public. Taille de l'échantillon : 30 000 ménages : 20 000 en France métropolitaine et 2 000 par DROM.
DOI: 10.15156/bio/sh0174277.10fu
title: SH0174277.10FU

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/sh0174278.10fu
title: SH0174278.10FU

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/sh0174279.10fu
title: SH0174279.10FU

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/sh0174280.10fu
title: SH0174280.10FU

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/sh0174281.10fu
title: SH0174281.10FU

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/sh0174282.10fu
title: SH0174282.10FU

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: 10.7282/t3zg6wgx
title: Species Diversity in the Asphalt Jungle: Floristic Composition and Structure of Parking Lots

description: Supplemental tables 1 and 2.
DOI: 10.15156/bio/sh0174283.10fu
title: SH0174283.10FU

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/sh0174284.10fu
title: SH0174284.10FU

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/sh0174285.10fu
title: SH0174285.10FU

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/sh0174286.10fu
title: SH0174286.10FU

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.