cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23000573
title: vacancydb

description: https://arxiv.org/abs/2205.08366
DOI: 10.15468/dl.w3mtds
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecrista gonoclada (Benth.) H.S.Irwin & Barneby"
 ]
}

 The dataset includes 61 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007363-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhtq5q
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cymatodera undulata (Say, 1825)"
 ]
}

 The dataset includes 347 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007434-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18120/rx8g-b578
title: PRT
DOI: 10.15468/dl.66jn4b
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Otospermophilus atricapillus (Bryant, 1889)"
 ]
}

 The dataset includes 135 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007364-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3gdm6
title: Occurrence Download

description: A dataset containing 3177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela erminea Linnaeus, 1758",
 "Year 2024-2025"
 ]
}

 The dataset includes 3177 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007435-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw932y
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((164.6065 -53.59283,179.79623 -53.59283,179.79623 -28.84825,164.6065 -28.84825,164.6065 -53.59283))",
 "TaxonKey is Mustela erminea Linnaeus, 1758"
 ]
}

 The dataset includes 337 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007366-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uazdhk
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Otospermophilus beecheyi (Richardson, 1829)"
 ]
}

 The dataset includes 805 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007367-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mxggq
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Stelis parvilabris Lindl."
 ]
}

 The dataset includes 54 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007368-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7v4aqs
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Stelis pittieri (Schltr.) Rojas-Alv. & Karremans"
 ]
}

 The dataset includes 229 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007437-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zve65
title: Occurrence Download

description: A dataset containing 3752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus microscaphus (Cope, 1867))"
 ]
}

 The dataset includes 3752 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007369-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.789fec
title: Occurrence Download

description: A dataset containing 1905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prosthemadera novaeseelandiae (J.F.Gmelin, 1788)",
 "Year 2024-2025"
 ]
}

 The dataset includes 1905 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007438-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/6808187
title: TikTok Refugee Migration Data
DOI: 10.15468/dl.p57wy2
title: Occurrence Download

description: A dataset containing 31347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Picumnus temminckii Lafresnaye, 1845",
 "Year 1000-2024"
 ]
}

 The dataset includes 31347 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007370-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbz9qs
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Costa Rica, Colombia, United States of America, Ecuador, Panama, Mexico, Bolivia (Plurinational State of), Peru, Nicaragua, Denmark, Brazil, unknown or invalid)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ara militaris mexicanus Ridgway, 1915, Ara militaris bolivianus Reichenow, 1908, Ara militaris militaris)"
 ]
}

 The dataset includes 62 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007439-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xhhft
title: Occurrence Download

description: A dataset containing 18589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Paraguay)",
 "TaxonKey is Picumnus albosquamatus d'Orbigny, 1840",
 "Year 1000-2024"
 ]
}

 The dataset includes 18589 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007440-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfn68k
title: Occurrence Download

description: A dataset containing 3856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philesturnus rufusater (R.P.Lesson, 1828)",
 "Year 2023-2025"
 ]
}

 The dataset includes 3856 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007441-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7df6pc9
title: Denning Phenology, Den Substrate, and Reproductive Success of Female Polar Bears (Ursus maritimus) in the Southern Beaufort Sea 1986-2013 and the Chukchi Sea 1987-1994

description: These data represent estimates of den entrance and exit dates for female polar bears in the southern Beaufort and Chukchi Seas based on temperature sensor data obtained from satellite collars. An algorithm described in Olson et al. (2017) was used to determine whether the female entered a den and further analyses using temperature data as described in Olson et al. (2017) were used to assess den entry and emergence dates. The algorithm used identified the denning period as that during which collar temperature remained consistently above a temperature threshold. As such, users of these data should be aware that bear behavior can affect den entrance and exit date. If a bear moves in and out of a den frequently, the algorithm identifies that bear as not denning. Den substrate was determined by examining satellite locations from collars during the identified denning period and classify dens as occurring on landfast ice, pack ice, or land. This data set also includes direct observations of females post-den emergence to ascertain whether or not she was accompanied by cubs as an indicator of reproductive success. The den IDs provided in this data set correspond with those identified in the USGS den catalog (Durner 2010, Durner et al 2020) additional information about the dens in this data set may be found in the catalog.
DOI: 10.15468/dl.abstnc
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Costa Rica, Colombia, United States of America, Ecuador, Panama, Mexico, Bolivia (Plurinational State of), Peru, Nicaragua, Denmark, Brazil, unknown or invalid)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ara militaris mexicanus Ridgway, 1915, Ara militaris bolivianus Reichenow, 1908, Ara militaris militaris)"
 ]
}

 The dataset includes 62 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007443-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysqyaj
title: Occurrence Download

description: A dataset containing 2608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Glyptemys insculpta (Le Conte, 1830))"
 ]
}

 The dataset includes 2608 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007445-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4s8rf
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Costa Rica, Colombia, United States of America, Ecuador, Panama, Mexico, Bolivia (Plurinational State of), Peru, Nicaragua, Denmark, Brazil, unknown or invalid)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon cancrivorus G"
 ]
}

 The dataset includes 126 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007446-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxzxen
title: Occurrence Download

description: A dataset containing 45475335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 45475335 records from 1560 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007365-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1049347.10fu
title: SH1049347.10FU

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/sh1049355.10fu
title: SH1049355.10FU

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/sh1049356.10fu
title: SH1049356.10FU

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/sh1049363.10fu
title: SH1049363.10FU

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/sh1049364.10fu
title: SH1049364.10FU

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/sh1049370.10fu
title: SH1049370.10FU

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/sh1049383.10fu
title: SH1049383.10FU

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/sh1049384.10fu
title: SH1049384.10FU

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/sh1049386.10fu
title: SH1049386.10FU

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/sh1049390.10fu
title: SH1049390.10FU

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.