cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1246069.09fu
title: SH1246069.09FU

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/sh1246070.09fu
title: SH1246070.09FU

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/sh1246071.09fu
title: SH1246071.09FU

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/sh1246072.09fu
title: SH1246072.09FU

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/sh1246073.09fu
title: SH1246073.09FU

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/sh1246074.09fu
title: SH1246074.09FU

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: 10.5281/zenodo.11362652
title: Processed scRNA and scATAC data in DRCTdb

description: Understanding the molecular mechanisms underlying genetic diseases is challenging due to the involvement of both environmental and genetic factors. Genome-wide association studies (GWAS) have identified numerous genetic loci, but their functional implications remain largely unknown. Single-cell multiomics sequencing has emerged as a powerful tool to study disease-specific cell types and their relationship with genetic variants. However, there is a lack of comprehensive databases for exploring genetic disease-related cell types and their mechanisms across different human tissues. In this study, we present the disease-related cell type database (DRCTdb), a database that integrates GWAS data and single-cell multiomics data to identify disease-related cell types and elucidate their regulatory mechanisms. DRCTdb contains well-processed single-cell multiomics data in 16 studies, encompassing transcriptome and epigenetic information overall 4 million cells within 28 tissues. Through DRCTdb, user can easily browse relationships and regulatory mechanisms between SNPs of 42 genetic disease and cell type in different human tissue based on GWAS and single cell multiomics data. Moreover, DRCTdb also provides data download, which allowing users to download well-processed single-cell multiomics data and analysis result from DRCTdb
DOI: 10.15468/dl.7mztbo
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Telescopus hoogstraali Schmidt & Marx, 1956"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008137-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrn89t
title: Occurrence Download

description: A dataset containing 647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.16191 21.26954,-98.85155 21.26954,-98.85155 21.51249,-99.16191 21.51249,-99.16191 21.26954))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 647 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263215-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vx7n57
title: Occurrence Download

description: A dataset containing 18669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium bonus-henricus L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18669 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000431-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11362883
title: Processed scRNA and scATAC data in DRCTdb

description: Understanding the molecular mechanisms underlying genetic diseases is challenging due to the involvement of both environmental and genetic factors. Genome-wide association studies (GWAS) have identified numerous genetic loci, but their functional implications remain largely unknown. Single-cell multiomics sequencing has emerged as a powerful tool to study disease-specific cell types and their relationship with genetic variants. However, there is a lack of comprehensive databases for exploring genetic disease-related cell types and their mechanisms across different human tissues. In this study, we present the disease-related cell type database (DRCTdb), a database that integrates GWAS data and single-cell multiomics data to identify disease-related cell types and elucidate their regulatory mechanisms. DRCTdb contains well-processed single-cell multiomics data in 16 studies, encompassing transcriptome and epigenetic information overall 4 million cells within 28 tissues. Through DRCTdb, user can easily browse relationships and regulatory mechanisms between SNPs of 42 genetic disease and cell type in different human tissue based on GWAS and single cell multiomics data. Moreover, DRCTdb also provides data download, which allowing users to download well-processed single-cell multiomics data and analysis result from DRCTdb
DOI: 10.15468/dl.45q2cy
title: Occurrence Download

description: A dataset containing 764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Tamarix L."
 ]
}

 The dataset includes 764 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005355-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11344659
title: Processed scRNA and scATAC data in DRCTdb

description: Understanding the molecular mechanisms underlying genetic diseases is challenging due to the involvement of both environmental and genetic factors. Genome-wide association studies (GWAS) have identified numerous genetic loci, but their functional implications remain largely unknown. Single-cell multiomics sequencing has emerged as a powerful tool to study disease-specific cell types and their relationship with genetic variants. However, there is a lack of comprehensive databases for exploring genetic disease-related cell types and their mechanisms across different human tissues. In this study, we present the disease-related cell type database (DRCTdb), a database that integrates GWAS data and single-cell multiomics data to identify disease-related cell types and elucidate their regulatory mechanisms. DRCTdb contains well-processed single-cell multiomics data in 16 studies, encompassing transcriptome and epigenetic information overall 4 million cells within 28 tissues. Through DRCTdb, user can easily browse relationships and regulatory mechanisms between SNPs of 42 genetic disease and cell type in different human tissue based on GWAS and single cell multiomics data. Moreover, DRCTdb also provides data download, which allowing users to download well-processed single-cell multiomics data and analysis result from DRCTdb
DOI: 10.5281/zenodo.11344660
title: Processed scRNA and scATAC data in DRCTdb

description: Understanding the molecular mechanisms underlying genetic diseases is challenging due to the involvement of both environmental and genetic factors. Genome-wide association studies (GWAS) have identified numerous genetic loci, but their functional implications remain largely unknown. Single-cell multiomics sequencing has emerged as a powerful tool to study disease-specific cell types and their relationship with genetic variants. However, there is a lack of comprehensive databases for exploring genetic disease-related cell types and their mechanisms across different human tissues. In this study, we present the disease-related cell type database (DRCTdb), a database that integrates GWAS data and single-cell multiomics data to identify disease-related cell types and elucidate their regulatory mechanisms. DRCTdb contains well-processed single-cell multiomics data in 16 studies, encompassing transcriptome and epigenetic information overall 4 million cells within 28 tissues. Through DRCTdb, user can easily browse relationships and regulatory mechanisms between SNPs of 42 genetic disease and cell type in different human tissue based on GWAS and single cell multiomics data. Moreover, DRCTdb also provides data download, which allowing users to download well-processed single-cell multiomics data and analysis result from DRCTdb
DOI: 10.15468/dl.7b2zjy
title: Occurrence Download

description: A dataset containing 396562 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Continent is Africa",
 "Country is South Africa",
 {
 "or" : [
 "DatasetKey is KZNM-PINDIP-DIPTATEACH",
 "DatasetKey is NMSA: Arthropod Collections (1900-2012)",
 "DatasetKey is IZIKO South Africa Museum Collection (1800-2013)",
 "DatasetKey is AM: Terrestrial Insect Collections (1896-2000)",
 "DatasetKey is Observation.org, Nature data from around the World",
 "DatasetKey is DNSM: Durban Natural Science Museum Insect Collection (1900-2011)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 396562 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263213-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1l2pnv
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Antarctic pycnogonids"
 ]
}

 The dataset includes 174 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008137-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tr8tm
title: Occurrence Download

description: A dataset containing 7661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpaceae",
 "Country is Malaysia",
 "DatasetKey is Naturalis Biodiversity Center (NL) - Botany"
 ]
}

 The dataset includes 7661 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000431-160802083343578/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b93q7
title: Occurrence Download

description: A dataset containing 10124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ranunculus ophioglossifolius Vill.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10124 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051985-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jvgh2
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colophospermum mopane (J.Kirk ex Benth.) J.Léonard"
 ]
}

 The dataset includes 1250 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231330-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7h35x2
title: Occurrence Download

description: A dataset containing 249181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sciurus carolinensis Gmelin, 1788"
 ]
}

 The dataset includes 249181 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075075-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f52x7d
title: Occurrence Download

description: A dataset containing 4553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Alopecurus myosuroides Huds."
 ]
}

 The dataset includes 4553 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066873-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.traiiu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetodon ornatissimus Cuvier, 1831",
 "Country is India"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000431-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9jyjh
title: Occurrence Download

description: A dataset containing 84282226 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is United Kingdom of Great Britain and Northern Ireland"
 ]
}

 The dataset includes 84282226 records from 2412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240395-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt5g5h
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnolia biondii Pamp.",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 290 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081581-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xanmj
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria heterosticta E.M.A.Petit"
 ]
}

 The dataset includes 164 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081582-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpy2b3
title: Occurrence Download

description: A dataset containing 630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Koelreuteria paniculata Laxm.",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 630 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081584-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf8c4j
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteris simplex Holttum"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081585-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7940386
title: Non-reciprocal crowd dynamics: investigating the impact of moving threats on pedestrian speed preferences

description: The data used to support the results in our paper.
DOI: 10.5281/zenodo.7940387
title: Non-reciprocal crowd dynamics: investigating the impact of moving threats on pedestrian speed preferences

description: The data used to support the results in our paper.
DOI: 10.15468/dl.7928p3
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudocodon graminifolius (H.Lév.) D.Y.Hong"
 ]
}

 The dataset includes 198 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081583-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyhe2w
title: Occurrence Download

description: A dataset containing 7450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.15607 43.24686,-6.90617 43.24358,-6.90021 43.42383,-7.14603 43.428,-7.14616 43.428,-7.15607 43.24686))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7450 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081586-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqc8jh
title: Occurrence Download

description: A dataset containing 24284 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Weed plants of the European part of Russia"
 ]
}

 The dataset includes 24284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081587-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.