cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y2pse9
title: Occurrence Download

description: A dataset containing 2697731 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turdus pilaris"
 ]
}

 The dataset includes 2697731 records from 2412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023311-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1387103.10fu
title: SH1387103.10FU

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/sh1387105.10fu
title: SH1387105.10FU

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/sh1387106.10fu
title: SH1387106.10FU

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/sh1387110.10fu
title: SH1387110.10FU

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/sh1387111.10fu
title: SH1387111.10FU

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/sh1387112.10fu
title: SH1387112.10FU

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/sh1387113.10fu
title: SH1387113.10FU

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/sh1387114.10fu
title: SH1387114.10FU

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/sh1387115.10fu
title: SH1387115.10FU

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: 10.15468/dl.jch8th
title: Occurrence Download

description: A dataset containing 9982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Chinese Taipei",
 "Geometry POLYGON((120.82523 24.9649,120.36321 24.20415,121.33716 24.1352,121.76811 24.11365,122.08201 24.90892,122.08025 24.90933,121.53445 24.92894,120.82523 24.9649))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Squamata, Testudines, Crocodylia)",
 "Year 2000-2024"
 ]
}

 The dataset includes 9982 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013061-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12755015
title: OnSSET processed GIS input data for 20 Sub Sahara Africa countries

description: This repository contains the processed geospatial data files needed to run the Open-Source Spatial Electrification Tool (OnSSET), for 20 countries in Sub Sahara Africa. These data files were created by the KTH team for the Global Electrification Platform (GEP) model (https://electrifynow.energydata.info/). To access result files and geospatial population clusters, please go to https://energydata.info/dataset/?q=gep.
DOI: 10.5281/zenodo.17339090
title: OnSSET processed GIS input data for 20 Sub Sahara Africa countries

description: This repository contains the processed geospatial data files needed to run the Open-Source Spatial Electrification Tool (OnSSET), for 20 countries in Sub Sahara Africa. These data files were created by the KTH team for the Global Electrification Platform (GEP) model (https://electrifynow.energydata.info/). To access result files and geospatial population clusters, please go to https://energydata.info/dataset/?q=gep.
DOI: 10.5281/zenodo.17339161
title: Data for "Velocity and calving response of a major Greenland ice stream to a lake drainage event", Wehrlé et al 2025b

description: Global Navigation Satellite System (GNSS) and Terrestrial Radar Interferometer (TRI) data for "Velocity and calving response of a major Greenland ice stream to a lake drainage event", Wehrlé et al 2025b. 

All information and details are stored in the metadata fields of the NetCDF files to ensure metadata and data stay together and in sync.
DOI: 10.5281/zenodo.17339162
title: Data for "Velocity and calving response of a major Greenland ice stream to a lake drainage event", Wehrlé et al 2025b

description: Global Navigation Satellite System (GNSS) and Terrestrial Radar Interferometer (TRI) data for "Velocity and calving response of a major Greenland ice stream to a lake drainage event", Wehrlé et al 2025b. 

All information and details are stored in the metadata fields of the NetCDF files to ensure metadata and data stay together and in sync.
DOI: 10.15468/k7odqc
title: Mammal Recording Scheme 1970-1985 (An Foras Forbartha)

description: Mammal sightings recording during the An Foras Forbartha mammal recording scheme 1970-1985.
DOI: 10.5281/zenodo.14749820
title: PUDL Raw EIA MECS -- Manufacturing Energy Consumption Survey

description: EIA Form 846 A and B is more commonly known as the Manufacturing Energy Consumption Survey (MECS). MECS is a national sample survey that collects information on the stock of U.S. manufacturing establishment, their energy-related building characteristics, and their energy consumption and expenditures. MECS is conducted every four years. Archived from 
https://www.eia.gov/consumption/manufacturing/data/2018/

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14782683
title: EIA MECS -- Manufacturing Energy Consumption Survey

description: EIA Form 846 A and B is more commonly known as the Manufacturing Energy Consumption Survey (MECS). MECS is a national sample survey that collects information on the stock of U.S. manufacturing establishment, their energy-related building characteristics, and their energy consumption and expenditures. MECS is conducted every four years. Archived from https://www.eia.gov/consumption/manufacturing/data/2018/

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14827265
title: PUDL Raw EIA MECS -- Manufacturing Energy Consumption Survey

description: EIA Form 846 A and B is more commonly known as the Manufacturing Energy Consumption Survey (MECS). MECS is a national sample survey that collects information on the stock of U.S. manufacturing establishment, their energy-related building characteristics, and their energy consumption and expenditures. MECS is conducted every four years. Archived from https://www.eia.gov/consumption/manufacturing/data/2018/

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15037754
title: PUDL Raw EIA MECS -- Manufacturing Energy Consumption Survey

description: EIA Form 846 A and B is more commonly known as the Manufacturing Energy Consumption Survey (MECS). MECS is a national sample survey that collects information on the stock of U.S. manufacturing establishment, their energy-related building characteristics, and their energy consumption and expenditures. MECS is conducted every four years. Archived from https://www.eia.gov/consumption/manufacturing/data/2018/

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.15468/dl.bcqm9s
title: Occurrence Download

description: A dataset containing 8830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Xema sabini (Sabine, 1819)"
 ]
}

 The dataset includes 8830 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019234-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbkp74
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Salpornis spilonota",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 508 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083668-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utcx7a
title: Occurrence Download

description: A dataset containing 15879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Galium sylvaticum L."
 ]
}

 The dataset includes 15879 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047627-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dctqd
title: Occurrence Download

description: A dataset containing 3712 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario SQF"
 ]
}

 The dataset includes 3712 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083665-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9j796k
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium stewartianum Balf.f. & W.W.Sm."
 ]
}

 The dataset includes 58 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009579-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6r2xqx
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambrosia ×intergradiens W.H.Wagner"
 ]
}

 The dataset includes 63 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019221-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcjg3a
title: Occurrence Download

description: A dataset containing 12536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Polysticta stelleri (Pallas, 1769)"
 ]
}

 The dataset includes 12536 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047661-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3xnzf
title: Occurrence Download

description: A dataset listing the 72863 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((26.7542939189847 1.2186193716968,36.9991642472184 13.6345880476356,41.544901412726 10.038706409249,37.5419388341447 2.16847489881781,35.84576825 -7.80500813595271,36.2528491901947 -16.0144737632128,34.2174444892211 -16.5572483501391,27.5006089760084 -8.95840413317107,26.7542939189847 1.2186193716968))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 72863 records were derived from 1093 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019183-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vquj7
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limeum argute-carinatum Wawra"
 ]
}

 The dataset includes 295 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009603-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmzt3q
title: Occurrence Download

description: A dataset containing 61308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Platanthera chlorantha (Custer) Rchb."
 ]
}

 The dataset includes 61308 records from 400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019236-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57907/mirri/9ylbv6
title: MIRRI0157885

description: Organism type: Yeast ; Taxon name: Fusarium ; Collection: UOA/HCPF 5922 ; Country: Greece
DOI: 10.57907/mirri/aghesx/mrh6qb
title: MIRRI0157914.json

description: Strain json file
DOI: 10.57907/mirri/azoucx
title: MIRRI0157913

description: Organism type: Yeast ; Taxon name: Cladosporium ; Collection: UOA/HCPF 5999 ; Country: Greece
DOI: 10.57907/mirri/bgpa14
title: MIRRI0157875

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 5887 ; Country: Greece
DOI: 10.57907/mirri/cq79pp
title: MIRRI0156470

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 12743 ; Country: Greece
DOI: 10.57907/mirri/eiizwz
title: MIRRI0157707

description: Organism type: Yeast ; Taxon name: Aspergillus terreus ; Collection: UOA/HCPF 14890 b ; Country: Greece