cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0176709.10fu
title: SH0176709.10FU

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/sh0176710.10fu
title: SH0176710.10FU

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/sh0176711.10fu
title: SH0176711.10FU

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/sh0176712.10fu
title: SH0176712.10FU

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/sh0176713.10fu
title: SH0176713.10FU

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: 10.34740/kaggle/dsv/14446466
title: BOS Kemdikbud
DOI: 10.5281/zenodo.18198168
title: Dataset for: Methane emissions from temperate rice cropping systems: a quantitative systematic review of controlling variables and empirical modeling of emission factors

description: This dataset contains harmonized field data on methane (CH₄) emission factors from temperate rice cropping systems, compiled through a quantitative systematic review of the peer-reviewed literature. The dataset includes the response variable (CH₄ emission factor) and a set of climatic, soil, and agronomic explanatory variables used in the statistical models presented in the associated research article. Data were standardized across studies to ensure consistency of units, variable definitions, and categorical levels. Each observation is linked to its original source through the corresponding DOI reported in the dataset. Detailed descriptions of the systematic review protocol, variable classification, data processing, statistical modeling, and interpretation of results are provided in the associated manuscript.
DOI: 10.15156/bio/sh0176714.10fu
title: SH0176714.10FU

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: 10.5281/zenodo.18198167
title: Dataset for: Methane emissions from temperate rice cropping systems: a quantitative systematic review of controlling variables and empirical modeling of emission factors

description: This dataset contains harmonized field data on methane (CH₄) emission factors from temperate rice cropping systems, compiled through a quantitative systematic review of the peer-reviewed literature. The dataset includes the response variable (CH₄ emission factor) and a set of climatic, soil, and agronomic explanatory variables used in the statistical models presented in the associated research article. Data were standardized across studies to ensure consistency of units, variable definitions, and categorical levels. Each observation is linked to its original source through the corresponding DOI reported in the dataset. Detailed descriptions of the systematic review protocol, variable classification, data processing, statistical modeling, and interpretation of results are provided in the associated manuscript.
DOI: 10.15156/bio/sh0176715.10fu
title: SH0176715.10FU

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/sh0176716.10fu
title: SH0176716.10FU

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/sh0176717.10fu
title: SH0176717.10FU

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.3v4hu7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.275178 -32.791443, 148.275178 -32.795935, 148.277424 -32.795935, 148.277424 -32.791443, 148.275178 -32.791443)), ((148.277424 -32.795935, 148.277424 -32.798181, 148.281916 -32.798181, 148.281916 -32.795935, 148.277424 -32.795935)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056354-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26520391
title: Koduru et al PNAS 2024 - partial data set

description: These are data corresponding to Figures 2, 6, S21, 7 and 8 of Koduru et al 2024 PNAS (in press at this writing - August 8, 2024). Figure 2 is High pressure 1H-15N HSQC and 31P NMR data at 1 bar and 3000 bar at pH 6.5. Figure 6 is Small angle scattering data at 10 bar, 1000 bar, 2000 bar and 3000 bar, as well as configurations for EOM modeling. All data included in the article and its SI are available upon request to: royerc@rpi.edu
DOI: 10.15468/dl.dyeub9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.901756 -32.791443, 148.901756 -32.798181, 148.904002 -32.798181, 148.904002 -32.791443, 148.901756 -32.791443))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056355-240626123714530/datasets/export for details.
DOI: 10.15468/dl.qw2kbj
title: Occurrence Download

description: A dataset containing 487081258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 487081258 records from 16377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056337-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17394896
title: Deep breathing Data
DOI: 10.5281/zenodo.17394897
title: Deep breathing Data
DOI: 10.5281/zenodo.17180761
title: Extreme coastal El Niño drives reduced ocean carbon outgassing in the southeastern tropical Pacific Ocean
DOI: 10.5281/zenodo.17180762
title: Extreme coastal El Niño drives reduced ocean carbon outgassing in the southeastern tropical Pacific Ocean
DOI: 10.15468/dl.6d3yp4
title: Occurrence Download

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

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014408-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htyepb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis recta",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014407-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdnncy
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis recta",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014409-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh4g57
title: Occurrence Download

description: A dataset containing 3360 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Malva verticillata)"
 ]
}

 The dataset includes 3360 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014411-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvsbe9
title: Occurrence Download

description: A dataset containing 46836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is iNaturalist Research-grade Observations",
 "MediaType is Image",
 "Month is August",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 46836 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014410-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3fhn4
title: Occurrence Download

description: A dataset containing 9665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spiraea billardii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9665 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014413-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzu7cf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis recta",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014416-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssx2qy
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis recta",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014415-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s86jye
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Hibiscus manihot)"
 ]
}

 The dataset includes 46 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014417-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17197156
title: Thermal discomfort in urban underground metro systems
DOI: 10.15468/dl.gbgtc2
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014419-250920141307145/datasets/export for details.
DOI: 10.15468/dl.2usv6u
title: Occurrence Download

description: A dataset containing 21090 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Momordica charantia)"
 ]
}

 The dataset includes 21090 records from 552 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014418-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahmazm
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis jackmanii",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014420-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17180839
title: Data and Codes for Exploring Ways to Reduce Biases in a Hybrid Global Climate Model with Machine-Learned Moist Physics

description: See Readme.md.
DOI: 10.5281/zenodo.17180840
title: Data and Codes for Exploring Ways to Reduce Biases in a Hybrid Global Climate Model with Machine-Learned Moist Physics

description: See Readme.md.
DOI: 10.6084/m9.figshare.30205171.v1
title: Additional file 4 of 18S/28S rDNA metabarcoding identifies Cryptosporidium parvum and Blastocystis ST1 as the predominant intestinal protozoa in hospital patients from Changchun, Northeast China

description: Additional file 4. Table S4. Fisher’s exact test comparison of three 18S/28S primer pairs for metabarcoding detection of intestinal parasites
DOI: 10.6084/m9.figshare.30205174.v1
title: Additional file 5 of 18S/28S rDNA metabarcoding identifies Cryptosporidium parvum and Blastocystis ST1 as the predominant intestinal protozoa in hospital patients from Changchun, Northeast China

description: Additional file 5. Fig. S1. Multiple sequence alignments of Cryptosporidium unique sequences obtained in this study with selected reference sequences from GenBank.
DOI: 10.6084/m9.figshare.30205177.v1
title: Additional file 6 of 18S/28S rDNA metabarcoding identifies Cryptosporidium parvum and Blastocystis ST1 as the predominant intestinal protozoa in hospital patients from Changchun, Northeast China

description: Additional file 6. Fig. S2. Multiple sequence alignments of Blastocystis unique sequences obtained in this study with selected reference sequences from the GenBank.
DOI: 10.6084/m9.figshare.30205144.v1
title: Additional file 2 of Questions regarding medication-related issues raised by legislators in the Indian parliament, 2017–2024

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.30205120.v1
title: Additional file 7 of Global sex disparities in lifetime risk of alopecia areata: a systematic analysis from the global burden of disease study, 1990 to 2021

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.30205114.v1
title: Additional file 6 of Global sex disparities in lifetime risk of alopecia areata: a systematic analysis from the global burden of disease study, 1990 to 2021

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.30205102.v1
title: Additional file 2 of Global sex disparities in lifetime risk of alopecia areata: a systematic analysis from the global burden of disease study, 1990 to 2021

description: Supplementary Material 2