cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ihq13a
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eupithecia ultimaria Boisduval, 1840",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003861-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4b6dt
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia haussknechtii C.Winkl."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149640-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lnhacv
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scorzonera cana (C.A.Mey.) Griseb."
 ]
}

 The dataset includes 303 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003862-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwqqns
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia humilis Boiss."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149685-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9o7uvh
title: Occurrence Download

description: A dataset containing 6559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oryzomys couesi (Alston, 1877)"
 ]
}

 The dataset includes 6559 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003862-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8h2zyf
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emberiza caesia Cretzschmar, 1827",
 "Year 2000-2023"
 ]
}

 The dataset includes 230 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149708-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mazrc
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Costus barbatus Suess."
 ]
}

 The dataset includes 35 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003862-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3h48y
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia iconica Hub.-Mor."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149693-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkwgvf
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica campestris Hegetschw., 1839"
 ]
}

 The dataset includes 197 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003864-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ykuxm
title: Occurrence Download

description: A dataset containing 603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phalaenopsis Blume"
 ]
}

 The dataset includes 603 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027294-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5tkc1
title: Occurrence Download

description: A dataset containing 98560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capreolus capreolus (Linnaeus, 1758)"
 ]
}

 The dataset includes 98560 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003862-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hu57x
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sinningia allagophylla (Mart.) Wiehler"
 ]
}

 The dataset includes 653 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033127-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsaekm
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mazama americana (Erxleben, 1777)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 }
 ]
}

 The dataset includes 79 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003862-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3mrs8
title: Occurrence Download

description: A dataset containing 3403810 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 3403810 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033135-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uf0qyr
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Foraminifera abundance of sediment core C1960.203"
 ]
}

 The dataset includes 363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003862-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c453bg
title: Occurrence Download

description: A dataset containing 843396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((2.479608666666667 48.58410666666667, 2.479608666666667 65.67073733333334, -31.565747 65.67073733333334, -31.565747 48.58410666666667, 2.479608666666667 48.58410666666667))",
 "EventDate is 2021-04-01,2021-04-30"
 ]
}

 The dataset includes 843396 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033123-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cez7d
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus austroglauca (Y.T.Chang) Y.T.Chang"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007792-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/2rpb-q562
title: "Small ponds dataset from PlanetScope imagery of Hubei province, China"

description: "The \u201cHubei Small Pond Dataset\u201d provides spatial vector data of small water bodies across Hubei Province, excluding rivers and ditches. The dataset is stored in ESRI Shapefile format and delineates the boundaries of small ponds derived from high-resolution remote sensing imagery. It can be used for hydrological analysis, water resource monitoring, and model validation in small water body studies."
DOI: 10.15468/dl.6q645p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-45 7.5,-37.5 7.5,-37.5 15,-45 15,-45 7.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041285-251009101135966/datasets/export for details.
DOI: 10.15468/dl.s33em3
title: Occurrence Download

description: A dataset containing 859 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fulvetta striaticollis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 859 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041284-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shj2bz
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epigonus constanciae (Giglioli, 1880)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 428 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004359-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gptsxs4cfs
title: PA-MIP and C-MIP approaches on Critical Thinking Skills

description: This dataset supports a study investigating the impact of PA-MIP and C-MIP approaches on students’ critical thinking skills (CTS), as well as the gender effect on CTS. The dataset includes coded data from both discussion transcripts and self-reflection reports, and Epistemic Network Analysis (ENA) matrices representing relationships among interpretation, analysis, evaluation, inference, explanation, and self-regulation.
DOI: 10.17632/gptsxs4cfs.1
title: PA-MIP and C-MIP approaches on Critical Thinking Skills

description: This dataset supports a study investigating the impact of PA-MIP and C-MIP approaches on students’ critical thinking skills (CTS), as well as the gender effect on CTS. The dataset includes coded data from both discussion transcripts and self-reflection reports, and Epistemic Network Analysis (ENA) matrices representing relationships among interpretation, analysis, evaluation, inference, explanation, and self-regulation.
DOI: 10.15156/bio/sh0177388.10fu
title: SH0177388.10FU

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/sh0177389.10fu
title: SH0177389.10FU

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/sh0177390.10fu
title: SH0177390.10FU

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/sh0177391.10fu
title: SH0177391.10FU

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/sh0177392.10fu
title: SH0177392.10FU

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/sh0177393.10fu
title: SH0177393.10FU

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/sh0177394.10fu
title: SH0177394.10FU

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/sh0177395.10fu
title: SH0177395.10FU

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/sh0177396.10fu
title: SH0177396.10FU

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/sh0177397.10fu
title: SH0177397.10FU

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.