cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/96rtcxcbzg.1
title: LINF_040014400

description: DnaJ domain-containing protein | JDP27 | J27; Leishmania infantum
DOI: 10.17632/96rtcxcbzg.2
title: LINF_040014400

description: DnaJ domain-containing protein | JDP27 | J27; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.xk42es
title: Occurrence Download

description: A dataset containing 337535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, North America, Antarctica, Asia)",
 "TaxonKey is Larix Mill."
 ]
}

 The dataset includes 337535 records from 1153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000711-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72c659
title: Occurrence Download

description: A dataset containing 1154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onychorhynchus swainsoni (Pelzeln, 1858)"
 ]
}

 The dataset includes 1154 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070079-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scsqme
title: Occurrence Download

description: A dataset containing 11924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amanita muscaria (L.) Lam., Clitopilus prunulus (Scop.) P.Kumm.)"
 ]
}

 The dataset includes 11924 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010179-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmfs2r
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence, Human Observation)",
 "Country is one of (Spain, Portugal)",
 "DatasetKey is one of (Banco de Datos de la Biodiversidad de la Comunitat Valenciana, Flora vascular de Mallorca, Illes Balears, Colección de plantas vasculares del herbario de la Universitat de València (VAL), CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España)",
 "Geometry POLYGON((-11.03164 39.3126,-9.8516 35.71411,-4.98946 34.96579,6.28223 37.9875,5.03397 42.56119,-2.18797 44.58538,-9.85244 44.3983,-11.03164 39.3126))",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus L.fil."
 ]
}

 The dataset includes 488 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010180-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c625ec
title: Occurrence Download

description: A dataset containing 10396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Linepithema humile (Mayr, 1868)"
 ]
}

 The dataset includes 10396 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010181-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xynfxm
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"2476643","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"PRESERVED SPECIMEN","matchCase":false},{"type":"equals","key":"CONTINENT","value":"southamerica","matchCase":false}]}

 The dataset includes 1548 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010183-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swet9n
title: Occurrence Download

description: A dataset containing 368804 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is izeltlabuak.hu observations validated to species level"
 ]
}

 The dataset includes 368804 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010182-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zq6p7
title: Occurrence Download

description: A dataset containing 14631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Linepithema humile (Mayr, 1868)",
 "Year 1000-2024"
 ]
}

 The dataset includes 14631 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010187-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucwk63
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylloceras guettardi"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010188-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhmgvy
title: Occurrence Download

description: A dataset containing 2720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Spain, Portugal)",
 "DatasetKey is one of (naturgucker, Flora vascular de Mallorca, Illes Balears, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), Observation.org, Nature data from around the World, Pl@ntNet observations, iNaturalist Research-grade Observations, Pl@ntNet automatically identified occurrences, Banco de Datos de la Biodiversidad de la Comunitat Valenciana)",
 "Geometry POLYGON((-4.74839 44.36606,-10.75762 44.04529,-9.9236 39.98211,-9.41035 36.17555,-3.78605 34.91382,1.62439 37.67251,4.89632 39.29778,5.32403 41.54322,2.13764 43.89559,-4.74839 44.36606))",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus L.fil."
 ]
}

 The dataset includes 2720 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010189-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr9csy
title: Occurrence Download

description: A dataset containing 851594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Machine Observation",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "Year 2022-2022"
 ]
}

 The dataset includes 851594 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010184-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbx9s4
title: Occurrence Download

description: A dataset containing 19694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus macrocarpa Michx."
 ]
}

 The dataset includes 19694 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010185-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3dqs2
title: Occurrence Download

description: A dataset listing the 183 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nepenthes L."
 ]
}

 The dataset's 183 records were derived from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010186-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apr52t
title: Occurrence Download

description: A dataset containing 5885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alouatta seniculus (Linnaeus, 1766)"
 ]
}

 The dataset includes 5885 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010190-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqn5gk
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.6.124_2",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 133 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010192-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3ez2f
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"2476643","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"PRESERVED SPECIMEN","matchCase":false},{"type":"equals","key":"CONTINENT","value":"southamerica","matchCase":false}]}

 The dataset includes 1548 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010191-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13318708
title: Menschen afrikanischer, asiatischer sowie indigen- und afrikanisch-amerikanischer Herkunft im Hamburger Raum, 1760 bis 1840

description: Dieser prosopographische Datensatz ist aus der Recherche zu einem Dissertationsprojekt der Autorin zu Hamburger Sklavereiverbindungen und nicht-weißen Menschen im Hamburger Raum hervorgegangen, die von 2017 bis 2024 an der Universität Bremen durchgeführt wurde. Es erfasst Personen afrikanischer, asiatischer sowie indigen- oder afrikanisch-amerikanischer Herkunft, die sich zwischen 1760 und 1840 im Hamburger Raum aufhielten und sich durch Sekundärliteratur oder Quellen nachweisen lassen. Die Datenbank stellt ein Teilergebnis der Forschung dar, die in der zugehörigen Dissertation ausgewertet, kontextualisiert und analysiert wird. In die Datenbank aufgenommen wurden Individuen oder – so sich keine Einzelangaben ausfindig machen ließen – kleine Gruppen, die sich nachweislich über kürzere oder längere Zeiträume im heutigen Hamburger Stadtgebiet sowie in angrenzende Gemeinden wie Ahrensburg und Pinneberg aufhielten. Da die Datenbank ein Resultat einer gezielten Recherche ist, kann sie keinen Anspruch auf Vollständigkeit oder Repräsentativität (etwa in Bezug auf Herkunftsregionen) erheben. Ergänzende Informationen zum Quellenkorpus finden sich im Dokument „Durchgesehene serielle Quellen“; weitere Informationen zu den in der Datenbank genutzten Quellen sind im Dokument „Erläuterungen zu Spalten und Angabeoptionen“ einzusehen.
DOI: 10.5281/zenodo.14253989
title: Menschen afrikanischer, asiatischer sowie indigen- und afrikanisch-amerikanischer Herkunft im Hamburger Raum, 1760 bis 1840

description: Dieser prosopographische Datensatz ist aus der Recherche zu einem Dissertationsprojekt der Autorin zu Hamburger Sklavereiverbindungen und nicht-weißen Menschen im Hamburger Raum hervorgegangen, die von 2017 bis 2024 an der Universität Bremen durchgeführt wurde. Es erfasst Personen afrikanischer, asiatischer sowie indigen- oder afrikanisch-amerikanischer Herkunft, die sich zwischen 1760 und 1840 im Hamburger Raum aufhielten und sich durch Sekundärliteratur oder Quellen nachweisen lassen. Die Datenbank stellt ein Teilergebnis der Forschung dar, die in der zugehörigen Dissertation ausgewertet, kontextualisiert und analysiert wird. In die Datenbank aufgenommen wurden Individuen oder – so sich keine Einzelangaben ausfindig machen ließen – kleine Gruppen, die sich nachweislich über kürzere oder längere Zeiträume im heutigen Hamburger Stadtgebiet sowie in angrenzende Gemeinden wie Ahrensburg und Pinneberg aufhielten. Da die Datenbank ein Resultat einer gezielten Recherche ist, kann sie keinen Anspruch auf Vollständigkeit oder Repräsentativität (etwa in Bezug auf Herkunftsregionen) erheben. Ergänzende Informationen zum Quellenkorpus finden sich im Dokument „Durchgesehene serielle Quellen“; weitere Informationen zu den in der Datenbank genutzten Quellen sind im Dokument „Erläuterungen zu Spalten und Angabeoptionen“ einzusehen.
DOI: 10.5281/zenodo.14224353
title: Output files for Variable-Resolution Community Earth System Model (VR-CESM) simulations with highest resolutions over the Euro-Mediterranean

description: Output files for Variable-Resolution Community Earth System Model (VR-CESM) simulations with highest resolutions over the Euro-Mediterranean and notebooks created for analyses and visualization.

Configuration names:



ne30_n

ne30x4_n

ne30x4_t

ne30x8_t


Variables at single level: PHIS,PRECC,PRECL,PS,TREFHT,LHFLX,SWCF,LWCF,TMQ,SNOWHLND

Variables at pressure levels:U,V,OMEGA,RELHUM,Z3,Q
DOI: 10.15468/dl.xxg3ma
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.6.124_2",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 133 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010194-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kybzv
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.6.124_2",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 133 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010195-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbk2r3
title: Occurrence Download

description: A dataset containing 8718058 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anura"
 ]
}

 The dataset includes 8718058 records from 7249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010193-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1057190.10fu
title: SH1057190.10FU

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/sh1057191.10fu
title: SH1057191.10FU

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/sh1057192.10fu
title: SH1057192.10FU

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/sh1057193.10fu
title: SH1057193.10FU

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/sh1057194.10fu
title: SH1057194.10FU

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/sh1057195.10fu
title: SH1057195.10FU

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/sh1057199.10fu
title: SH1057199.10FU

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.