cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0207997.10fu
title: SH0207997.10FU

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/sh0207998.10fu
title: SH0207998.10FU

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/sh0207999.10fu
title: SH0207999.10FU

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/sh0208000.10fu
title: SH0208000.10FU

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/sh0208001.10fu
title: SH0208001.10FU

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/sh0208002.10fu
title: SH0208002.10FU

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: 10.26023/tt7y-3y62-sq09
title: ACE-ASIA: Kosan Dimethylsulfide (DMS) and Carbondisulfide. Version 1.0

description: The ACE-Asia Surface Kosan Chemistry DMS; CS&lt;2 data are available online.
DOI: 10.34740/kaggle/dsv/13270130
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.30281500
title: Tabela com a lista de espécies da serra da Cana Brava, Ceará e suas respectivas distribuições nas faixas altitudinais.

description: Este trabalho é resultado da pesquisa de iniciação científica sobre a flora de uma serra no extremo sul do Ceará, Brasil.
DOI: 10.6084/m9.figshare.30281500.v2
title: Tabela com a lista de espécies da serra da Cana Brava, Ceará e suas respectivas distribuições nas faixas altitudinais.

description: Este trabalho é resultado da pesquisa de iniciação científica sobre a flora de uma serra no extremo sul do Ceará, Brasil.
DOI: 10.6084/m9.figshare.30281500.v1
title: Tabela com a lista de espécies da serra da Cana Brava, Ceará e suas respectivas distribuições nas faixas altitudinais.

description: Este trabalho é resultado da pesquisa de iniciação científica sobre a flora de uma serra no extremo sul do Ceará, Brasil.
DOI: 10.15468/dl.7pdc34
title: Occurrence Download

description: A dataset containing 2123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus squamata",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2123 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050783-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttzexj
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caenoplana coerulea",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050784-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xq4jqk
title: Occurrence Download

description: A dataset containing 86680 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrus communis"
 ]
}

 The dataset includes 86680 records from 1141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050748-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etpu3k
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((32.87647 -26.08209,33.00345 -26.08209,33.00345 -25.96592,32.87647 -25.96592,32.87647 -26.08209))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 1990-2025"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050785-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qp7ht
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Steppe communities with Scabiosa isetensis and Scabiosa ochroleuca in Central Kazakhstan"
 ]
}

 The dataset includes 687 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050786-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/5mw1-96h0-8n0x
title: ACE-ASIA: NSF/NCAR C-130 Soluble Ion from PILS-IC. Version 1.0

description: The ACE-Asia Aircraft C-130 Aerosol Fast anions and cations, 3-4 minutes (Weber) data are now available online. Airborne measurements of soluble aerosol particles were made from March 30 to May 4, 2001 using a particles-into-liquid-sampler (PILS). 124-145 LON, 23-43 LAT
DOI: 10.15468/dl.94gwu8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platydemus manokwari",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050791-250920141307145/datasets/export for details.
DOI: 10.15468/dl.eqhpre
title: Occurrence Download

description: A dataset containing 5518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Koeleria pyramidata",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5518 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050788-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2guu6f
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050790-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17272796
title: DL-202304-LC

description: 原始数据
DOI: 10.15468/dl.3a3qxu
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platydemus manokwari",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050789-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq2zk4
title: Occurrence Download

description: A dataset containing 2670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Koenigia alpina",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2670 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050793-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szt49w
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platydemus manokwari",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 518 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050795-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpn8rs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platydemus manokwari",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050794-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.26014840
title: Ruiz et al. (2025) - Fish eDNA metabarcodes' taxonomic resolution

description: Even though environmental DNA metabarcoding is revolutionizing biomonitoring, many critical steps remain unstandardized, leading to arbitrary choices, particularly regarding the selection of metabarcode, clustering method, and similarity threshold, among others. Additionally, these studies were hindered by biases resulting from the presence of mislabeled sequences in international databases such as GenBank and the lack of explicit definitions for taxonomic resolution. To address these issues, we developed a robust framework to compare the performance of 22 metabarcodes derived from the same mitogenomes (all available for Actinopterygians in NCBI) against a standardized taxonomic baseline based on COI Barcode Index Numbers (BINs). This framework allows for the separate quantification of over-splitting (splitting the same taxon/BIN) and over-merging (merging different taxon/BIN). Comparison of OTUs obtained with multiple de novo clustering methods to BINs confirmed the metabarcode ranking based on error sums. Although each metabarcode exhibited varying sensitivities to over-merging or over-splitting errors, the clustering threshold emerged as the most important factor influencing biodiversity estimates whatever the clustering method. This led us to propose optimal thresholds for each metabarcode to delineate taxonomic levels (metabarcode gaps). Additionally, we found that taxonomic resolution varied significantly among genes, orders, and community diversity, but independently of metabarcode length. Overall, the choice of metabarcode and clustering threshold should aim to minimize over-merging or over-splitting, while ensuring accurate lower taxonomic delineations. A set of documented R functions makes this evaluation of taxonomic resolution easily applicable to any other taxonomic group for which a representative set of full genes or mitogenomes is available.
DOI: 10.6084/m9.figshare.26014840.v8
title: Ruiz et al. (2025) - Fish eDNA metabarcodes' taxonomic resolution

description: Even though environmental DNA metabarcoding is revolutionizing biomonitoring, many critical steps remain unstandardized, leading to arbitrary choices, particularly regarding the selection of metabarcode, clustering method, and similarity threshold, among others. Additionally, these studies were hindered by biases resulting from the presence of mislabeled sequences in international databases such as GenBank and the lack of explicit definitions for taxonomic resolution. To address these issues, we developed a robust framework to compare the performance of 22 metabarcodes derived from the same mitogenomes (all available for Actinopterygians in NCBI) against a standardized taxonomic baseline based on COI Barcode Index Numbers (BINs). This framework allows for the separate quantification of over-splitting (splitting the same taxon/BIN) and over-merging (merging different taxon/BIN). Comparison of OTUs obtained with multiple de novo clustering methods to BINs confirmed the metabarcode ranking based on error sums. Although each metabarcode exhibited varying sensitivities to over-merging or over-splitting errors, the clustering threshold emerged as the most important factor influencing biodiversity estimates whatever the clustering method. This led us to propose optimal thresholds for each metabarcode to delineate taxonomic levels (metabarcode gaps). Additionally, we found that taxonomic resolution varied significantly among genes, orders, and community diversity, but independently of metabarcode length. Overall, the choice of metabarcode and clustering threshold should aim to minimize over-merging or over-splitting, while ensuring accurate lower taxonomic delineations. A set of documented R functions makes this evaluation of taxonomic resolution easily applicable to any other taxonomic group for which a representative set of full genes or mitogenomes is available.
DOI: 10.6084/m9.figshare.26014840.v7
title: Ruiz et al. (2025) - Fish eDNA metabarcodes' taxonomic resolution

description: Even though environmental DNA (eDNA) metabarcoding is revolutionizing biomonitoring, many critical steps remain unstandardized, leading to arbitrary choices, which is particularly critical for metabarcodes as well as clustering methods and similarity thresholds choices. For fishes, current in silico comparisons have generally focused on primer sets properties, but few have compared the taxonomic resolution for a comprehensive set of metabarcodes while more than 20 exist. In addition, these studies were hampered by genetic database biases and unstandardized taxonomic resolution definitions. To overcome these issues, we developed a robust framework to compare metabarcodes extracted from the same mitogenomes (all available for Actinopterygians in NCBI) to a standardized taxonomic reference baseline based on COI Barcode Index Numbers (BINs), allowing to quantify separately false-positive (same taxon splitting) and false-negative (different taxa merging). Although each metabarcode exhibited various sensitivities to false-negative or false-positive errors and there were differences between clustering methods, the clustering threshold appears as the most important factor influencing biodiversity estimates, leading us to propose optimal thresholds per metabarcode for taxonomic levels delineation (metabarcode gaps). In addition, we also found that taxonomic resolution significantly varied among genes, orders, and community properties (diversity/redundancy), but not with metabarcodes lengths as previously thought. Overall, our study suggests that the metabarcode and clustering threshold must be chosen to minimize false-negatives and/or false-positives along with providing accurate lower taxonomic delineations. A set of commented R functions makes this taxonomic resolution evaluation framework easy to apply to any other taxonomic group and full genes or mitogenomes reference database.
DOI: 10.26023/mjm6-b25z-5y0k
title: ACE-ASIA: Gosan Aerosol Optical Measurements. Version 1.0

description: The ACE-Asia Surface Kosan Aerosol Neph/humido/radiometers/filters (Ogren/Jefferson) data are now available online. This data contains aerosol light scattering and absorption coefficients taken at the Kosan measurement site on Cheju Island, South Korea from April 5, 2001 to June 26, 2001. This dataset was updated May 16, 2003.
DOI: 10.5281/zenodo.17272925
title: Restoring High Mountain Sphagnum Communities in the Central Pyrenees, by Pladevall-Izard, E. et al., Monitoring raw data
title: Raw field data from monitoring Sphagnum experimental plots

description: Excel file including the field data (identification codes, water level, etc.) and the calculated area for each Sphagnum clump, collected from 2018 to 2024.
DOI: 10.5281/zenodo.17272926
title: Restoring High Mountain Sphagnum Communities in the Central Pyrenees, by Pladevall-Izard, E. et al., Monitoring raw data
title: Raw field data from monitoring Sphagnum experimental plots

description: Excel file including the field data (identification codes, water level, etc.) and the calculated area for each Sphagnum clump, collected from 2018 to 2024.
DOI: 10.15468/dl.ggycam
title: Occurrence Download

description: A dataset containing 7680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium album",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7680 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050796-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qg2s7d
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kontikia ventrolineata",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050797-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veh6hx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kontikia ventrolineata",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050798-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17272956
title: THE ROLE OF SOCIAL DETERMINATS OF HEALTH IN MODERN COMMUNITES

description: THE ROLE OF SOCIAL DETERMINATS OF HEALTH IN MODERN COMMUNITES
DOI: 10.5281/zenodo.17272957
title: THE ROLE OF SOCIAL DETERMINATS OF HEALTH IN MODERN COMMUNITES

description: THE ROLE OF SOCIAL DETERMINATS OF HEALTH IN MODERN COMMUNITES