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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.843985 -33.703238, 147.843985 -33.705483, 147.839493 -33.705483, 147.839493 -33.707729, 147.848476 -33.707729, 147.848476 -33.703238, 147.843985 -33.703238))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059034-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wjbad7
title: Occurrence Download

description: A dataset containing 745 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena mandibularis Robertson, 1892"
 ]
}

 The dataset includes 745 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059035-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhchj7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.944426 -33.685271, 148.944426 -33.687517, 148.948918 -33.687517, 148.948918 -33.685271, 148.944426 -33.685271)), ((148.944426 -33.685271, 148.944426 -33.68078, 148.939935 -33.68078, 148.939935 -33.685271, 148.944426 -33.685271)), ((148.948918 -33.685271, 148.951164 -33.685271, 148.951164 -33.68078, 148.955655 -33.68078, 148.955655 -33.687517, 148.951164 -33.687517, 148.951164 -33.692009, 148.948918 -33.692009, 148.948918 -33.694254, 148.951164 -33.694254, 148.951164 -33.709975, 148.957901 -33.709975, 148.957901 -33.703238, 148.960147 -33.703238, 148.960147 -33.692009, 148.964639 -33.692009, 148.964639 -33.685271, 148.960147 -33.685271, 148.960147 -33.68078, 148.957901 -33.68078, 148.957901 -33.678534, 148.948918 -33.678534, 148.948918 -33.685271)))"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059036-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8kgfm
title: Occurrence Download

description: A dataset containing 2290327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alauda arvensis Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2290327 records from 3726 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059031-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usedu3
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lutra lutra lutra",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003713-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7e4xr
title: Occurrence Download

description: A dataset containing 31681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (algas, frutos y semillas, hongos, líquenes, xiloteca)"
 ]
}

 The dataset includes 31681 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041200-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewjuqh
title: Occurrence Download

description: A dataset containing 3371244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyprinidae"
 ]
}

 The dataset includes 3371244 records from 684 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010623-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsviyb
title: Occurrence Download

description: A dataset containing 316955 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Magnoliophyta",
 "TaxonKey is Plantae"
 ]
 },
 "Country is Thailand"
 ]
}

 The dataset includes 316955 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003714-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42ucga
title: Occurrence Download

description: A dataset containing 26913 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Asimina triloba (L.) Dunal, Asimina triloba (L.) Dunal)"
 ]
}

 The dataset includes 26913 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033364-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1a5yyn
title: Occurrence Download

description: A dataset containing 3841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens frondosa Buch.-Ham. ex Hook.fil.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3841 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003714-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b6gnt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cremanthodium obovatum Y.Ling & S.W.Liu"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151030-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sssjd5
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cremanthodium prattii (Hemsl.) R.D.Good"
 ]
}

 The dataset includes 21 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151042-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpbfef
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus durata Jeps."
 ]
}

 The dataset includes 1791 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003714-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs5avp
title: Occurrence Download

description: A dataset containing 65485 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anhinga rufa (Daudin, 1802)"
 ]
}

 The dataset includes 65485 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003714-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8xmmr
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetrao urogallus Linnaeus, 1758",
 "Year 1990-2022"
 ]
}

 The dataset includes 49 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151046-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4av7b8
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cremanthodium pulchrum R.D.Good"
 ]
}

 The dataset includes 24 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151054-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4htqk
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Franklinothrips orizabensis Johansen, 1974",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 102 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003714-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttzs9z
title: Occurrence Download

description: A dataset containing 539136 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Harmonia axyridis (Pallas, 1773)"
 ]
}

 The dataset includes 539136 records from 898 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027497-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0178455.10fu
title: SH0178455.10FU

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/sh0178456.10fu
title: SH0178456.10FU

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.18200311
title: L'IMPACT DU SOUTIEN SOCIAL SUR LA QUALITÉ DE LA GOUVERNANCE UNIVERSITAIRE EN CÔTE D'IVOIRE : LE RÔLE DE L'ENGAGEMENT ORGANISATIONNEL AFFECTIF

description: Cette étude examine l’impact du soutien social sur la qualité de la gouvernance universitaire en Côte d’Ivoire, en intégrant le rôle modérateur de l’engagement organisationnel affectif. Le soutien social, provenant des collègues et des supérieurs hiérarchiques, favorise la coopération, la confiance et la performance collective. L’engagement organisationnel affectif, comprenant l’attachement émotionnel et la fierté d’appartenance, renforce l’effet du soutien social sur la gouvernance, en stimulant la participation, la loyauté et l’innovation organisationnelle. La méthodologie repose sur une approche quantitative, avec 428 questionnaires collectés dans quatre universités publiques et analysés via des analyses factorielles et des équations structurelles. Les résultats confirment que le soutien social améliore significativement la qualité de la gouvernance, et que cet effet est amplifié par l’engagement affectif des acteurs, soulignant l’importance des relations interpersonnelles et de l’attachement organisationnel pour une gouvernance universitaire efficace et durable.
DOI: 10.5281/zenodo.18200312
title: L'IMPACT DU SOUTIEN SOCIAL SUR LA QUALITÉ DE LA GOUVERNANCE UNIVERSITAIRE EN CÔTE D'IVOIRE : LE RÔLE DE L'ENGAGEMENT ORGANISATIONNEL AFFECTIF

description: Cette étude examine l’impact du soutien social sur la qualité de la gouvernance universitaire en Côte d’Ivoire, en intégrant le rôle modérateur de l’engagement organisationnel affectif. Le soutien social, provenant des collègues et des supérieurs hiérarchiques, favorise la coopération, la confiance et la performance collective. L’engagement organisationnel affectif, comprenant l’attachement émotionnel et la fierté d’appartenance, renforce l’effet du soutien social sur la gouvernance, en stimulant la participation, la loyauté et l’innovation organisationnelle. La méthodologie repose sur une approche quantitative, avec 428 questionnaires collectés dans quatre universités publiques et analysés via des analyses factorielles et des équations structurelles. Les résultats confirment que le soutien social améliore significativement la qualité de la gouvernance, et que cet effet est amplifié par l’engagement affectif des acteurs, soulignant l’importance des relations interpersonnelles et de l’attachement organisationnel pour une gouvernance universitaire efficace et durable.
DOI: 10.15156/bio/sh0178457.10fu
title: SH0178457.10FU

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/sh0178458.10fu
title: SH0178458.10FU

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/sh0178459.10fu
title: SH0178459.10FU

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/sh0178460.10fu
title: SH0178460.10FU

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/sh0178461.10fu
title: SH0178461.10FU

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/sh0178462.10fu
title: SH0178462.10FU

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/sh0178463.10fu
title: SH0178463.10FU

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/sh0178464.10fu
title: SH0178464.10FU

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.