cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.29371
title: Comprehensive Hazard of Extreme Events in China under Future Climate Change
title: 未来气候变化背景下中国极端事件综合危险性

description: Three typical extreme events—heatwaves, floods, and droughts—covering a broad national scope were selected. The hazard levels of heatwaves, floods, and droughts were assessed using indicators such as the composite meteorological drought index, heatwave index, and flood index. The integrated hazard level was derived by aggregating the three extreme events. First, different hazard levels for extreme events were assigned values: high hazard = 3, medium hazard = 2, low hazard = 1, and no hazard = 0. The integrated hazard was then calculated using an equal-weight summation method. The integrated hazard of extreme events in China during the periods of 1.5°C and 2°C global warming under RCP4.5 and RCP8.5 scenarios was ultimately obtained. The data format is tif.
description: Three typical extreme events—heatwaves, floods, and droughts—covering a broad national scope were selected. The hazard levels of heatwaves, floods, and droughts were assessed using indicators such as the composite meteorological drought index, heatwave index, and flood index. The integrated hazard level was derived by aggregating the three extreme events. First, different hazard levels for extreme events were assigned values: high hazard = 3, medium hazard = 2, low hazard = 1, and no hazard = 0. The integrated hazard was then calculated using an equal-weight summation method. The integrated hazard of extreme events in China during the periods of 1.5°C and 2°C global warming under RCP4.5 and RCP8.5 scenarios was ultimately obtained. The data format is tif.
DOI: 10.57760/sciencedb.29365
title: Dataset of Drought Hazard for Different Levels in China Under RCP8.5
title: RCP8.5情景下中国不同等级干旱危险性数据集

description: The hazard of droughts under climate change is primarily determined by the probability of occurrence based on the Composite Meteorological Drought Index (CI). According to the magnitude of the CI, droughts are classified into three levels: mild drought (-1.8 &lt; CI ≤ -1.2), moderate drought (2.4 &lt; CI ≤ -1.8), and severe drought (CI ≤ -2.4), indicating the respective drought levels and their impact severity. A drought event is defined as a continuous 10-day period with CI values at the mild drought threshold. Within each event, different drought levels are delineated based on the peak index value during the process. The frequency of occurrence for each drought level is calculated by determining the frequency of events corresponding to that level. Data format: xlsx.
description: The hazard of droughts under climate change is primarily determined by the probability of occurrence based on the Composite Meteorological Drought Index (CI). According to the magnitude of the CI, droughts are classified into three levels: mild drought (-1.8 &lt; CI ≤ -1.2), moderate drought (2.4 &lt; CI ≤ -1.8), and severe drought (CI ≤ -2.4), indicating the respective drought levels and their impact severity. A drought event is defined as a continuous 10-day period with CI values at the mild drought threshold. Within each event, different drought levels are delineated based on the peak index value during the process. The frequency of occurrence for each drought level is calculated by determining the frequency of events corresponding to that level. Data format: xlsx.
DOI: 10.57760/sciencedb.29370
title: Data for Quantum Superconducting Diode Effect
title: Data for Quantum Superconducting Diode Effect

description: Data for plotting Fig. 2, Fig. 3, and Fig. 4 in the manuscript on quantum superconducting diode effect with perfect efficiency above liquid nitrogen temperature
description: Data for plotting Fig. 2, Fig. 3, and Fig. 4 in the manuscript on quantum superconducting diode effect with perfect efficiency above liquid nitrogen temperature
DOI: 10.34740/kaggle/dsv/13306760
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.5s43v6
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phoebe cavaleriei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 509 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063639-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17299077
title: Data and Code

description: This dataset and code package includes amplitude and phase data of a Time Domain Coding Metasurface (TDCM), each containing simulation, measurement, and calibration results, as well as MATLAB scripts for FMCW radar signal quality analysis and radar equation calculation.
DOI: 10.5281/zenodo.17299078
title: Data and Code

description: This dataset and code package includes amplitude and phase data of a Time Domain Coding Metasurface (TDCM), each containing simulation, measurement, and calibration results, as well as MATLAB scripts for FMCW radar signal quality analysis and radar equation calculation.
DOI: 10.15468/dl.e9ssn4
title: Occurrence Download

description: A dataset containing 379393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Empetrum nigrum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 379393 records from 541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063611-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2mahe
title: Occurrence Download

description: A dataset containing 124902 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((5.598907470703125 43.481822852999905,5.511016845703125 43.509717009288075,5.400552749633789 43.51127322324609,5.412139892578125 43.54257572246922,5.4547119140625 43.563476493226595,5.480804443359375 43.61122246320032,5.483551025390625 43.6499881760459,5.503549575805664 43.66644361490711,5.598907470703125 43.66985832954972,5.69091796875 43.70362249839005,5.763702392578124 43.661911057260674,5.79254150390625 43.625141236940564,5.804901123046875 43.601278509333646,5.799407958984375 43.5734266934657,5.76507568359375 43.52565074189047,5.71563720703125 43.52166770320007,5.598907470703125 43.481822852999905)))"
 ]
}

 The dataset includes 124902 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266156-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmatvw
title: Occurrence Download

description: A dataset containing 1992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2010-2018",
 "HasCoordinate is true",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1992 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011168-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bre56s
title: Occurrence Download

description: A dataset containing 16440 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is USA.33.3_1",
 "GadmGid is USA.33.24_1",
 "GadmGid is USA.33.32_1",
 "GadmGid is USA.33.42_1",
 "GadmGid is USA.33.44_1"
 ]
 },
 "TaxonKey is Hymenoptera"
 ]
}

 The dataset includes 16440 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226860-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvpvac
title: Occurrence Download

description: A dataset containing 2267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Grus virgo (Linnaeus, 1758)"
 ]
}

 The dataset includes 2267 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279878-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7evtzq
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetradium daniellii (Benn.) T.G.Hartley"
 ]
}

 The dataset includes 1079 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248410-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.plubwp
title: Occurrence Download

description: A dataset containing 5113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Humiria A.St.-Hil."
 ]
}

 The dataset includes 5113 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011168-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drk9fm
title: Occurrence Download

description: A dataset containing 775059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "HasCoordinate is true",
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 775059 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002527-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f73c3a
title: Occurrence Download

description: A dataset containing 521021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sterna paradisaea Pontoppidan, 1763"
 ]
}

 The dataset includes 521021 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250171-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8djq7
title: Occurrence Download

description: A dataset containing 3904 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is David Dodds Associates Ltd - Species Records"
 ]
}

 The dataset includes 3904 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252487-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lntser
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atelopus ebenoides Rivero, 1963"
 ]
}

 The dataset includes 191 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011168-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb4m3f
title: Occurrence Download

description: A dataset containing 213999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coccyzus americanus (Linnaeus, 1758)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 2016",
 "Year is less than or equal to 2018",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 213999 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257322-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x5v8p
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophura nycthemera (Linnaeus, 1758)",
 "Year 1000-2010"
 ]
}

 The dataset includes 821 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279891-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9abscp
title: Occurrence Download

description: A dataset containing 3917 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lama glama (Linnaeus, 1758)"
 ]
}

 The dataset includes 3917 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016378-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.icaxcd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophilus caerulescens pernambucensis Naumburg, 1937"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011168-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uw98x6
title: Occurrence Download

description: A dataset containing 28365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mysidae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than 1980"
 ]
}

 The dataset includes 28365 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264827-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7tcyj
title: Occurrence Download

description: A dataset containing 31170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geranium lucidum L.",
 "Year 1970-2021"
 ]
}

 The dataset includes 31170 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290743-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1215661.10fu
title: SH1215661.10FU

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/sh1215662.10fu
title: SH1215662.10FU

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/sh1215664.10fu
title: SH1215664.10FU

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/sh1215665.10fu
title: SH1215665.10FU

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/sh1215666.10fu
title: SH1215666.10FU

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/sh1215670.10fu
title: SH1215670.10FU

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/sh1215672.10fu
title: SH1215672.10FU

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/sh1215679.10fu
title: SH1215679.10FU

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.