cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.25mhuc
title: Occurrence Download

description: A dataset containing 1671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((92.95268 6.54955,96.72862 -11.85815,119.66745 -12.23574,133.73282 -10.44217,144.30545 -9.49819,149.02537 -2.4183,145.62702 3.812,134.96 11.36387,121.74421 19.67094,117.96828 14.76222,101.82614 12.30786,92.95268 6.54955))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 1671 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026510-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zxhfh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanoides tuberculata",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026508-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hva882
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cytisus multiflorus",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026511-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a5k4e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanoides tuberculata",
 "Country is Dominica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026507-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.4qt333
title: test

description: test (dn)
DOI: 10.15468/dl.e6dmwv
title: Occurrence Download

description: A dataset containing 4136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bothrops atrox",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 4136 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001198-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqswcv
title: Occurrence Download

description: A dataset containing 8837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetragonisca angustula)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8837 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001199-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mer5ru
title: Occurrence Download

description: A dataset containing 37522 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 24.552553756517728
 AND decimallatitude &lt;= 28.773895969281842
 AND decimallongitude &gt;= 31.74027567138109
 AND decimallongitude &lt;= 37.89100621667205
 AND GBIF_Within('POLYGON ((37.891006 24.552554, 37.891006 28.773896, 31.740276 28.773896, 31.740276 24.552554, 37.891006 24.552554))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 37522 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001183-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tvdfg
title: Occurrence Download

description: A dataset containing 4606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Orostachys spinosa"
 ]
}

 The dataset includes 4606 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001200-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r2kuu
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wolffiella oblonga",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 124 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001201-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yprckw
title: Occurrence Download

description: A dataset containing 8837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetragonisca angustula)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8837 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001202-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhqnjb
title: Occurrence Download

description: A dataset containing 2480315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tringa totanus",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2480315 records from 1175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001090-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31289467
title: Negative Public Opinion Data on Chinese Marathons from 2020 to 2025 (LDA Topic Analysis, Sentiment Analysis, Web Crawling, etc.)

description: A web crawler program was developed using the Scrapy framework, targeting keywords such as "marathon events," "marathon event evaluations," and "marathon public sentiment" to scrape relevant topics and comments from the Sina Weibo platform. The data collection spanned from January 1, 2020, to December 31, 2025, resulting in a total of 11,045 raw text data entries. Subsequently, negative public sentiment content was filtered out through sentiment analysis. Finally, cluster analysis was conducted using the LDA model, with the number of topics determined to be seven.
DOI: 10.6084/m9.figshare.31289467.v1
title: Negative Public Opinion Data on Chinese Marathons from 2020 to 2025 (LDA Topic Analysis, Sentiment Analysis, Web Crawling, etc.)

description: A web crawler program was developed using the Scrapy framework, targeting keywords such as "marathon events," "marathon event evaluations," and "marathon public sentiment" to scrape relevant topics and comments from the Sina Weibo platform. The data collection spanned from January 1, 2020, to December 31, 2025, resulting in a total of 11,045 raw text data entries. Subsequently, negative public sentiment content was filtered out through sentiment analysis. Finally, cluster analysis was conducted using the LDA model, with the number of topics determined to be seven.
DOI: 10.15468/dl.655g8f
title: Occurrence Download

description: A dataset containing 2161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vipera ammodytes",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 2161 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001203-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6n248
title: Occurrence Download

description: A dataset containing 214394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocothemis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 214394 records from 1992 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001148-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e225hu
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus carolinensis",
 "HasCoordinate is true",
 "Country is Belgium"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000455-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9wb9c
title: Occurrence Download

description: A dataset containing 2487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notropis baileyi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2487 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000454-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr9qsy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphenisciformes)",
 "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((60 60,90 60,90 90,60 90,60 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000458-251009101135966/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13312010
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15156/bio/sh0165411.10fu
title: SH0165411.10FU

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/sh0165412.10fu
title: SH0165412.10FU

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/sh0165413.10fu
title: SH0165413.10FU

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/sh0165414.10fu
title: SH0165414.10FU

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/sh0165415.10fu
title: SH0165415.10FU

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/sh0165416.10fu
title: SH0165416.10FU

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/sh0165417.10fu
title: SH0165417.10FU

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/sh0165418.10fu
title: SH0165418.10FU

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: 10.21950/g0drpj
title: PYPSHORT: Minimum short-circuit current optimization model

description: Optimization model to guarantee minimum levels of short-circuit current at specified nodes of a transmission system. The model includes the short-circuit current injected under fault conditions by inverter-based resources. To reach the specified short-circuit current, synchronous condensers are allocated across the network at a minimum cost. The model is written on Pyomo and can be solved using off-the-shelf MILP solvers such as CPLEX or Gurobi.
description: Python
description: Pyomo (required)
description: Pandapower
description: PSSE
DOI: 10.15156/bio/sh0165419.10fu
title: SH0165419.10FU

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/sh0165420.10fu
title: SH0165420.10FU

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.