cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28557611
title: NHANES 2007-2008 至 2015-2016 匿名数据集

description: This dataset includes participants from five consecutive survey cycles (NHANES 2007 - 2008 to 2015 - 2016). A total of 20,804 eligible subjects were included in the analysis. It encompasses age, gender, serum uric acid levels, education level, physical activity level, smoking status, drinking status, income, creatinine, race/ethnicity, body mass index, and albumin/creatinine ratio. The main purpose of this dataset is to investigate the gender - specific associations between serum uric acid levels and depression among US adults.
DOI: 10.5281/zenodo.14988630
title: cigRockSEM: A benchmark dataset and baseline methods for rock microstructure interpretation in scanning electron microscope (SEM) images

description: We developed a standardized SEM image dataset that includes mudstone, sandstone, and shale. And this dataset combines publicly available labeled data, manually annotated images, and laboratory-collected samples.
DOI: 10.5281/zenodo.14988631
title: cigRockSEM: A benchmark dataset and baseline methods for rock microstructure interpretation in scanning electron microscope (SEM) images

description: We developed a standardized SEM image dataset that includes mudstone, sandstone, and shale. And this dataset combines publicly available labeled data, manually annotated images, and laboratory-collected samples.
DOI: 10.15468/dl.cwya9x
title: Occurrence Download

description: A dataset containing 2795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helianthus ×laetiflorus Pers.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2795 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008379-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvjpjb
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aleuroclava aucubae (Kuwana, 1911)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008380-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt9c52
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phrynocephalus theobaldi Blyth, 1863"
 ]
}

 The dataset includes 287 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008463-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3hcc9
title: Occurrence Download

description: A dataset containing 2405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helianthus pauciflorus Nutt.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2405 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008464-250227182430271/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.28425452
title: Non-Contact ECG

description: <br>Thank you very much for your interest in our work!<br>This repository contains data and code for the AI Radar ECG.<br>Below are the key components:Demo.m: Tests the trained models using the test dataset.TrainingPerformance.m: Displays the training performance of the trained models.TrainedModels.m: Trains the models using the training and validation datasets.PQRST_Detection.m: Detects P, Q, R, S, and T waves in radar ECGs.<br>Thank you!Wishing you happiness every day.
DOI: 10.15468/dl.qktqdx
title: Occurrence Download

description: A dataset containing 4253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Hymenaea courbaril L."
 ]
}

 The dataset includes 4253 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008381-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgjtdm
title: Occurrence Download

description: A dataset containing 534358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Cacatua goffiniana C.S.Roselaar & Michaels, 2004, Cacatua leadbeateri (Vigors, 1831), Cacatua roseicapilla (Vieillot, 1817), Cacatua sanguinea Gould, 1843, Cacatua sulphurea (Gmelin, 1788), Cacatua tenuirostris (Kuhl, 1820))"
 ]
}

 The dataset includes 534358 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008459-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-194817
title: 1956 - call for unity
DOI: 10.15468/dl.9fd4dm
title: Occurrence Download

description: A dataset containing 10001344 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Argentina"
 ]
}

 The dataset includes 10001344 records from 2181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016931-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87cmus
title: Occurrence Download

description: A dataset containing 897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "IucnRedListCategory is EN",
 "TaxonKey is Platanthera praeclara Sheviak & M.L.Bowles"
 ]
}

 The dataset includes 897 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000163-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmjkgr
title: Occurrence Download

description: A dataset containing 38726 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria aurea (Lesson, 1829)"
 ]
}

 The dataset includes 38726 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000916-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ktzrf
title: Occurrence Download

description: A dataset listing the 87 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "TaxonKey is Eumorpha Hübner"
 ]
}

 The dataset's 87 records were derived from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000914-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7kj3e
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Ageratina O.Hoffm."
 ]
}

 The dataset includes 60 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000919-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuafmr
title: Occurrence Download

description: A dataset containing 1556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypolimnas octocula marianensis Fruhstorfer, 1912, Partula gibba Férussac, 1821, Partula radiolata (L.Pfeiffer, 1846), Samoana fragilis (Férussac, 1821), Cycas micronesica K.D.Hill, Eugenia bryanii Kaneh., Serianthes nelsonii Merr., Psychotria malaspinae Merr., Tabernaemontana rotensis (Kaneh.) B.C.Stone, Heritiera longipetiolata Kaneh., Maesa walkeri Fosberg & Sachet, Todiramphus cinnamominus (Swainson, 1821), Gallirallus owstoni (Rothschild, 1895), Aerodramus bartschi (Mearns, 1909), Emoia slevini Brown & Falanruw, 1972, Pteropus mariannus Desmarest, 1822, Hypolimnas octocula Butler, 1869)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1556 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000165-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt2pkf
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Dragonfly records from the British Dragonfly Society Recording Scheme",
 "Geometry POLYGON((-2.6 57.1,-2.5 57.1,-2.5 57.2,-2.6 57.2,-2.6 57.1))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000164-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx83jt
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-2.6 57.1,-2.5 57.1,-2.5 57.2,-2.6 57.2,-2.6 57.1))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 14 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000917-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ke4yks
title: Occurrence Download

description: A dataset containing 1107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Poecilotriccus pulchellus (P.L.Sclater, 1874)"
 ]
}

 The dataset includes 1107 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000169-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urnp6r
title: Occurrence Download

description: A dataset containing 8626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria bicolor (Gray, 1842)"
 ]
}

 The dataset includes 8626 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000920-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah3u9k
title: Occurrence Download

description: A dataset containing 1169259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lauraceae)"
 ]
}

 The dataset includes 1169259 records from 2623 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000160-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r75eu
title: Occurrence Download

description: A dataset containing 2163255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solanales)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 2163255 records from 4063 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011391-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1058432.10fu
title: SH1058432.10FU

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/sh1058433.10fu
title: SH1058433.10FU

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/sh1058437.10fu
title: SH1058437.10FU

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/sh1058439.10fu
title: SH1058439.10FU

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/sh1058440.10fu
title: SH1058440.10FU

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/sh1058441.10fu
title: SH1058441.10FU

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/sh1058445.10fu
title: SH1058445.10FU

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/sh1058446.10fu
title: SH1058446.10FU

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/sh1058447.10fu
title: SH1058447.10FU

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.