cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27626877
title: Data for the manuscript “<b>Expanding hydrologically-linked permafrost-thaw collapse features accelerate sediment and carbon loss across the Tibetan Plateau</b>”

description: These files provide the key data of the hydrologically-linked permafrost collapse features (PCFs) on the Tibetan Plateau and the associated sediment and carbon loss from these PCFs.<b>1_PCF_inventory</b> folder includes the .shp files of PCF inventory on the Tibetan Plateau, including a total of 5512 PCFs.<b>2_Permafrost_data</b> folder includes the simulated permafrost data by SHAW model. <i>QTP_point_feature.txt</i> records the key factors of permafrost dynamics on the Tibetan Plateau in a 1-km spatial resolution.<b>3_River_permafrost</b> folder includes the difference between waterbody temperature and air temperature on the plateau and their impacts on permafrost. <i>TP_water_T_change</i> subfolder includes the water temperatures across the plateau and the surrounding air temperatures. <i>Inundated_permafrost</i> subfolder includes the modeling experiment of permafrost responses to river water temperature change at a section of Tuotuohe river.<b>4_PCF_prediction</b> folder includes the predicted PCF risk regions and the disturbed area by random forest model on the Tibetan Plateau. <i>QTP_PCF&predictors.txt</i> records the predictors of each 1-km grid on the plateau. <i>PCF_Risk</i> subfolder includes the predictions of PCF risk (risk map, model accuracy, and predictor importance). <i>PCF_Area</i> subfolder includes the predictions of disturbed area in risk grids (disturbed area and volume map, optimal model, and predictor importance). <i>Codes</i> subfolder includes the codes for train and prediction.<b>5_PCF_sedment&carbon_loss</b> folder includes the estimated sediment, soil organic carbon, and vegetation biomass losses from existing PCFs and potential PCF risk. <i>Current</i> subfolder includes the losses of each region due to existing PCFs. <i>NewPCF_16-22</i> subfolder includes the losses from newly formed PCFs in each year from 2016 to 2022. <i>Potential</i> subfolder includes the predicted losses from the potential PCF risk and the associated codes.<b>6_PCF_river_transport</b> folder includes the SSC and SSF data of the representative PCF-free upstream reach and PCF-abundant downstream reach at headwater Yangtze River.For more information and relative codes, kindly reach out to the authors at yi.zhao@pku.edu.cn or yizhao_cryo@outlook.com.
DOI: 10.6084/m9.figshare.27626877.v3
title: Data for the manuscript “<b>Expanding hydrologically-linked permafrost-thaw collapse features accelerate sediment and carbon loss across the Tibetan Plateau</b>”

description: These files provide the key data of the hydrologically-linked permafrost collapse features (PCFs) on the Tibetan Plateau and the associated sediment and carbon loss from these PCFs.<b>1_PCF_inventory</b> folder includes the .shp files of PCF inventory on the Tibetan Plateau, including a total of 5512 PCFs.<b>2_Permafrost_data</b> folder includes the simulated permafrost data by SHAW model. <i>QTP_point_feature.txt</i> records the key factors of permafrost dynamics on the Tibetan Plateau in a 1-km spatial resolution.<b>3_River_permafrost</b> folder includes the difference between waterbody temperature and air temperature on the plateau and their impacts on permafrost. <i>TP_water_T_change</i> subfolder includes the water temperatures across the plateau and the surrounding air temperatures. <i>Inundated_permafrost</i> subfolder includes the modeling experiment of permafrost responses to river water temperature change at a section of Tuotuohe river.<b>4_PCF_prediction</b> folder includes the predicted PCF risk regions and the disturbed area by random forest model on the Tibetan Plateau. <i>QTP_PCF&predictors.txt</i> records the predictors of each 1-km grid on the plateau. <i>PCF_Risk</i> subfolder includes the predictions of PCF risk (risk map, model accuracy, and predictor importance). <i>PCF_Area</i> subfolder includes the predictions of disturbed area in risk grids (disturbed area and volume map, optimal model, and predictor importance). <i>Codes</i> subfolder includes the codes for train and prediction.<b>5_PCF_sedment&carbon_loss</b> folder includes the estimated sediment, soil organic carbon, and vegetation biomass losses from existing PCFs and potential PCF risk. <i>Current</i> subfolder includes the losses of each region due to existing PCFs. <i>NewPCF_16-22</i> subfolder includes the losses from newly formed PCFs in each year from 2016 to 2022. <i>Potential</i> subfolder includes the predicted losses from the potential PCF risk and the associated codes.<b>6_PCF_river_transport</b> folder includes the SSC and SSF data of the representative PCF-free upstream reach and PCF-abundant downstream reach at headwater Yangtze River.For more information and relative codes, kindly reach out to the authors at yi.zhao@pku.edu.cn or yizhao_cryo@outlook.com.
DOI: 10.6084/m9.figshare.27626877.v2
title: Data for the manuscript “<b>Expansion of hydrologically-linked permafrost-thaw collapse features accelerates sediment and carbon loss across the Tibetan Plateau</b>”

description: These files provide the key data of the hydrologically-linked permafrost collapse features (PCFs) on the Tibetan Plateau and the associated sediment and carbon loss from these PCFs.<b>1_PCF_inventory</b> folder includes the .shp files of PCF inventory on the Tibetan Plateau, including a total of 5512 PCFs.<b>2_Permafrost_data</b> folder includes the simulated permafrost data by SHAW model. <i>QTP_point_feature.txt</i> records the key factors of permafrost dynamics on the Tibetan Plateau in a 1-km spatial resolution.<b>3_River_permafrost</b> folder includes the difference between waterbody temperature and air temperature on the plateau and their impacts on permafrost. <i>TP_water_T_change</i> subfolder includes the water temperatures across the plateau and the surrounding air temperatures. <i>Inundated_permafrost</i> subfolder includes the modeling experiment of permafrost responses to river water temperature change at a section of Tuotuohe river.<b>4_PCF_prediction</b> folder includes the predicted PCF risk regions and the disturbed area by random forest model on the Tibetan Plateau. <i>QTP_PCF&predictors.txt</i> records the predictors of each 1-km grid on the plateau. <i>PCF_Risk</i> subfolder includes the predictions of PCF risk (risk map, model accuracy, and predictor importance). <i>PCF_Area</i> subfolder includes the predictions of disturbed area in risk grids (disturbed area and volume map, optimal model, and predictor importance). <i>Codes</i> subfolder includes the codes for train and prediction.<b>5_PCF_sedment&carbon_loss</b> folder includes the estimated sediment, soil organic carbon, and vegetation biomass losses from existing PCFs and potential PCF risk. <i>Current</i> subfolder includes the losses of each region due to existing PCFs. <i>NewPCF_16-22</i> subfolder includes the losses from newly formed PCFs in each year from 2016 to 2022. <i>Potential</i> subfolder includes the predicted losses from the potential PCF risk and the associated codes.<b>6_PCF_river_transport</b> folder includes the SSC and SSF data of the representative PCF-free upstream reach and PCF-abundant downstream reach at headwater Yangtze River.For more information and relative codes, kindly reach out to the authors at yi.zhao@pku.edu.cn or yizhao_cryo@outlook.com.
DOI: 10.34740/kaggle/dsv/13196516
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ny52b2
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025709-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30207580
title: Dataset for the Development of a Health Information Anxiety Scale for First-time Mothers: Interviews and Questionnaire

description: 该数据集包含初为人母的访谈记录、收集的问卷数据以及结构方程建模 （SEM） 分析数据。
DOI: 10.6084/m9.figshare.30207580.v1
title: Dataset for the Development of a Health Information Anxiety Scale for First-time Mothers: Interviews and Questionnaire

description: 该数据集包含初为人母的访谈记录、收集的问卷数据以及结构方程建模 （SEM） 分析数据。
DOI: 10.15468/dl.ru9wn4
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium formosanum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 444 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025710-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2djpf
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025713-250920141307145/datasets/export for details.
DOI: 10.15468/dl.v8pjt4
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lawsonia inermis",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025711-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bndh6
title: Occurrence Download

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

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025712-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38ayb8
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plecotus austriacus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Material sample)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 138 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025714-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82tfhj
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium samarangense",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 291 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025715-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muuc4d
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lawsonia inermis",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025718-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ta2jkr
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saccharum angustifolium",
 "Year 1975-2024"
 ]
}

 The dataset includes 203 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025716-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3txbzn
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025719-250920141307145/datasets/export for details.
DOI: 10.15468/dl.9ejfxg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lawsonia inermis",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025717-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uh4rwr
title: Occurrence Download

description: A dataset containing 12631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vaccinium corymbosum",
 {
 "or" : [
 "Year 1970-2025",
 "Year 1970-2025"
 ]
 }
 ]
}

 The dataset includes 12631 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025720-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9snym
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saccharum officinarum",
 "Year 1975-2024"
 ]
}

 The dataset includes 1791 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025721-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2vmwx
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aletris spicata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 132 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025722-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qsaec
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lawsonia inermis",
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025724-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7buhc2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lawsonia inermis",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025725-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxaqkf
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025726-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17218083
title: test
DOI: 10.15468/dl.q3vmr9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nelumbo nucifera",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025727-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e35duu
title: Occurrence Download

description: A dataset containing 612887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa annua",
 "Year 1975-2024"
 ]
}

 The dataset includes 612887 records from 3188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025629-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0186804.10fu
title: SH0186804.10FU

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/sh0186805.10fu
title: SH0186805.10FU

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/sh0186806.10fu
title: SH0186806.10FU

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/sh0186807.10fu
title: SH0186807.10FU

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.