cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0165980.10fu
title: SH0165980.10FU

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/sh0165981.10fu
title: SH0165981.10FU

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/sh0165982.10fu
title: SH0165982.10FU

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/sh0165983.10fu
title: SH0165983.10FU

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/sh0165984.10fu
title: SH0165984.10FU

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/sh0165985.10fu
title: SH0165985.10FU

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/sh0165986.10fu
title: SH0165986.10FU

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/sh0165987.10fu
title: SH0165987.10FU

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/sh0165988.10fu
title: SH0165988.10FU

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.cw5cdw
title: Occurrence Download

description: A dataset containing 842 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia cuspidata Hort."
 ]
}

 The dataset includes 842 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312350-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccsufy
title: Occurrence Download

description: A dataset containing 7571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-132.94287 12.78680,-27.05713 12.78680,-27.05713 55.21320,-132.94287 55.21320,-132.94287 12.78680))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lithobates palustris (LeConte, 1825)",
 "Year 1900-2021"
 ]
}

 The dataset includes 7571 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301132-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8zazr
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pilostyles blanchetii (Gardner) R.Br.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 125 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009620-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uv57h
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juglans cathayensis Dode"
 ]
}

 The dataset includes 559 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312369-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vg24d
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is China",
 "Country is unknown or invalid"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Clerodendrum bungei Steud."
 ]
}

 The dataset includes 531 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276913-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zy87r4
title: Occurrence Download

description: A dataset containing 6317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation, Human Observation)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiropterotriton chiropterus (Cope, 1863)",
 "Year 1900-2022"
 ]
}

 The dataset includes 6317 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012024-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxfjgc
title: Occurrence Download

description: A dataset containing 169641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Danish Mycological Society, fungal records database",
 "MediaType is Image"
 ]
}

 The dataset includes 169641 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033523-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpn93e
title: Occurrence Download

description: A dataset containing 404812 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Geometry POLYGON((-114.20288 21.89575,-107.72095 21.89575,-107.72095 28.37769,-114.20288 28.37769,-114.20288 21.89575))",
 "HasCoordinate is true",
 "TaxonKey is Animalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 404812 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009620-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2n572
title: Occurrence Download

description: A dataset containing 11479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Vaccinium corymbosum L."
 ]
}

 The dataset includes 11479 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075137-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m76ufe
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is Axis axis (Erxleben, 1777)"
 ]
}

 The dataset includes 400 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001800-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aagbd1
title: Occurrence Download

description: A dataset containing 33702472 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 33702472 records from 2300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009620-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/fnaqbb
title: Immunotherapy NextGen Medicine Healthcare Toward2030_Dataset

description: Immunotherapy is expected to expand beyond oncology toward 2030, extending into autoimmune and inflammatory diseases, rare diseases, infectious diseases, and chronic disease management. As clinical adoption broadens, treatment success will increasingly depend not only on drug efficacy but also on system-based therapy, integrating patient stratification, combination regimens, real-time monitoring, adverse event management, and real-world data infrastructure.

With immune checkpoint inhibitors established as standard of care and cell therapies entering a post–CAR-T expansion phase, operational bottlenecks such as manufacturing, supply chain coordination, workflow integration, and longitudinal follow-up will become critical competitive differentiators.

This paper argues that leadership in next-generation immunotherapy will be defined as much by operational and data capabilities as by therapeutic innovation. It highlights a strategic opportunity for unexakorea to position itself as an operations-and-data company that increases immunotherapy success rates through irAE management infrastructure, patient journey operating systems for cell therapy, and RWD-driven therapy optimization.
DOI: 10.15468/dl.bk2ruj
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The mammals collection (ZM) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "TaxonKey is Heliosciurus rufobrachium"
 ]
}

 The dataset includes 147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001801-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jj4a9c
title: Occurrence Download

description: A dataset containing 712 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Modelación de la distribución y abundancia de las subespecies de venado cola blanca en México: implicaciones de conservación y manejo"
 ]
}

 The dataset includes 712 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001802-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.28605
title: FAKES FOR ALL: Demographically Inclusive Face-Swapped Video Dataset for Fair Deepfake Detection
title: FAKES FOR ALL: Demographically Inclusive Face-Swapped Video Dataset for Fair Deepfake Detection

description: In response to the increasing sophistication of face-swapping technologies, we present a large-scale, high-resolution video dataset aimed at advancing research in deepfake detection. This collection comprises more than 188,000 synthetic videos and 22,067 authentic samples, carefully constructed to ensure demographic diversity across gender and ethnicity, and to reflect real-world audiovisual variability.The synthetic content was generated using a reproducible face-swapping pipeline based on a state-of-the-art identity-preserving method. Source videos were curated from multiple domains to ensure both diversity and visual coherence. In addition, the dataset includes richly structured metadata, enabling detailed and fair evaluation across multiple dimensions.This benchmark addresses key limitations found in existing resources, particularly those related to demographic imbalance and lack of scalability, and serves as a robust foundation for the development, benchmarking, and comparison of deepfake detection systems in a transparent and generalizable manner.
description: In response to the increasing sophistication of face-swapping technologies, we present a large-scale, high-resolution video dataset aimed at advancing research in deepfake detection. This collection comprises more than 188,000 synthetic videos and 22,067 authentic samples, carefully constructed to ensure demographic diversity across gender and ethnicity, and to reflect real-world audiovisual variability.The synthetic content was generated using a reproducible face-swapping pipeline based on a state-of-the-art identity-preserving method. Source videos were curated from multiple domains to ensure both diversity and visual coherence. In addition, the dataset includes richly structured metadata, enabling detailed and fair evaluation across multiple dimensions.This benchmark addresses key limitations found in existing resources, particularly those related to demographic imbalance and lack of scalability, and serves as a robust foundation for the development, benchmarking, and comparison of deepfake detection systems in a transparent and generalizable manner.
DOI: 10.15468/dl.wqdypy
title: Occurrence Download

description: A dataset containing 2319 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;= 33.06103686093294
 AND decimallatitude &lt;= 37.42857426825602
 AND decimallongitude &gt;= 77.92563160714433
 AND decimallongitude &lt;= 86.346182691082
 AND GBIF_Within('POLYGON ((86.346183 33.061037, 86.346183 37.428574, 77.925632 37.428574, 77.925632 33.061037, 86.346183 33.061037))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 2319 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001800-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ae4yh
title: Occurrence Download

description: A dataset containing 156391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carassius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 156391 records from 672 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001795-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hj7mve
title: Occurrence Download

description: A dataset containing 1027252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2020-2026"
 ]
}

 The dataset includes 1027252 records from 694 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001797-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.