cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1211702.10fu
title: SH1211702.10FU

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/sh1211705.10fu
title: SH1211705.10FU

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/sh1211707.10fu
title: SH1211707.10FU

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/sh1211712.10fu
title: SH1211712.10FU

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/sh1211713.10fu
title: SH1211713.10FU

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: 10.3886/e243221
title: Estimates of Emergency Department Visits in the United States from 2016-2022

description: The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates.

The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e243221v1
title: Estimates of Emergency Department Visits in the United States from 2016-2022

description: The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates.

The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.
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description: (Downloaded 1/10/2026)
DOI: 10.15156/bio/sh1211716.10fu
title: SH1211716.10FU

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.15598238
title: Generation of High-precision Precipitable Water Vapor Products from Morphed Integrated Microwave Imagery  (MIMIC PWV-HR, 0.02°, 2022, v2)

description: Click here to view all data versions.

NOTE: If you have any questions, or technical issues, contact us at wyhnpnp@whu.edu.cn (Yuhao Wu) or sggzb@whu.edu.cn (Bao Zhang).

Citation:Yuhao Wu, Bao Zhang, Yibin Yao, Zheng Du, Hongming Li, Quanyu Chen, 2026, Generation of high-precision Precipitable Water Vapor Products from Morphed Integrated Microwave Imagery. International Journal of Applied Earth Observation and Geoinformation (under review). Yuhao Wu, Bao Zhang, Yibin Yao, Zheng Du, Hongming Li, Quanyu Chen. 2026. Generation of high-precision Precipitable Water Vapor Products from Morphed Integrated Microwave Imagery [Data set]. Zenodo.

Funding: This work was jointly supported by the Nanning Science and Technology Major Program (20241027), the National Natural Science Foundation of China (42522401, 42388102 and 42304018), and the Guangxi Science and Technology Program (ZG2503980015).

Acknowledgments: We sincerely thank the NGL for providing GNSS PWV, the University of Wisconsin-Madison for developing and the MIMIC-TPW2 product, and the Viewfinder Panoramas team for hosting the SRTM dataset. We also acknowledge the CDS for supplying ERA5 reanalysis and the NOAA for distributing radiosonde observations.
DOI: 10.5281/zenodo.18206392
title: Generation of High-precision Precipitable Water Vapor Products from Morphed Integrated Microwave Imagery  (MIMIC PWV-HR, 0.02°, 2022, v2)

description: Click here to view all data versions.

NOTE: If you have any questions, or technical issues, contact us at wyhnpnp@whu.edu.cn (Yuhao Wu) or sggzb@whu.edu.cn (Bao Zhang).

Citation:Yuhao Wu, Bao Zhang, Yibin Yao, Zheng Du, Hongming Li, Quanyu Chen, 2026, Generation of high-precision Precipitable Water Vapor Products from Morphed Integrated Microwave Imagery. International Journal of Applied Earth Observation and Geoinformation (under review). Yuhao Wu, Bao Zhang, Yibin Yao, Zheng Du, Hongming Li, Quanyu Chen. 2026. Generation of high-precision Precipitable Water Vapor Products from Morphed Integrated Microwave Imagery [Data set]. Zenodo.

Funding: This work was jointly supported by the Nanning Science and Technology Major Program (20241027), the National Natural Science Foundation of China (42522401, 42388102 and 42304018), and the Guangxi Science and Technology Program (ZG2503980015).

Acknowledgments: We sincerely thank the NGL for providing GNSS PWV, the University of Wisconsin-Madison for developing and the MIMIC-TPW2 product, and the Viewfinder Panoramas team for hosting the SRTM dataset. We also acknowledge the CDS for supplying ERA5 reanalysis and the NOAA for distributing radiosonde observations.
DOI: 10.15156/bio/sh1211717.10fu
title: SH1211717.10FU

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/sh1211718.10fu
title: SH1211718.10FU

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.17482957
title: Steam Games

description: El conjunto de datos steam_games contiene información obtenida de la sección Top Sellers de la plataforma Steam.

Incluye 3 567 registros y 11 variables relacionadas con los videojuegos más vendidos, como el título, plataformas disponibles, fecha de lanzamiento, precio original, descuento (%), precio final, imagen, valoración de los usuarios, porcentaje de votos positivos y fecha scraping 

Este dataset puede emplearse para análisis descriptivos o exploratorios sobre tendencias de precios, popularidad de géneros y comportamiento del mercado de videojuegos digitales.
DOI: 10.15468/dl.7ndk6c
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena robertiana (Bernh., Godr. & Gren.) Španiel, Al-Shehbaz, D.A.German & Marhold"
 ]
}

 The dataset includes 231 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051018-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tddng
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithocarpus calolepis Y.C.Hsu & H.Wei Jen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071296-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsdwt8
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.8155048999999934 42.7001008000000013, -87.8155048999999934 42.7011868499999991, -87.8155048999999934 42.7017298700000012, -87.8155048999999934 42.7028159199999990, -87.8155048999999934 42.7034494400000000, -87.8155048999999934 42.7042187300000009, -87.8155048999999934 42.7049880100000010, -87.8155048999999934 42.7056667900000022, -87.8155048999999934 42.7064813200000017, -87.8155048999999934 42.7072958600000021, -87.8155048999999934 42.7086081699999980, -87.8155048999999934 42.7094226999999975, -87.8146468799999980 42.7094226999999975, -87.8136985400000043 42.7094226999999975, -87.8121179700000027 42.7094226999999975, -87.8109890000000064 42.7094226999999975, -87.8109890000000064 42.7081103900000016, -87.8109890000000064 42.7074316100000004, -87.8109890000000064 42.7067980899999995, -87.8109890000000064 42.7058025400000005, -87.8109890000000064 42.7046712499999970, -87.8109890000000064 42.7039472200000034, -87.8109890000000064 42.7031326800000031, -87.8109890000000064 42.7024086500000024, -87.8109890000000064 42.7016846200000018, -87.8109890000000064 42.7010510900000000, -87.8109890000000064 42.7001008000000013, -87.8118470200000019 42.7001008000000013, -87.8126147199999991 42.7001008000000013, -87.8138340200000016 42.7001008000000013, -87.8148275100000006 42.7001008000000013, -87.8155048999999934 42.7001008000000013))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089509-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8n9cj
title: Occurrence Download

description: A dataset containing 246497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Utricularia L."
 ]
}

 The dataset includes 246497 records from 1109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089477-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgrfek
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrrhula pyrrhula rosacea Seebohm, 1882",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071297-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xed3pd
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena markgrafii (O.E.Schulz) Španiel, Al-Shehbaz, D.A.German & Marhold"
 ]
}

 The dataset includes 28 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051057-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwcpcm
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-73.8086538000000019 40.9269892000000013, -73.8086538000000019 40.9284560700000029, -73.8086538000000019 40.9299229399999973, -73.8086538000000019 40.9308564099999970, -73.8086538000000019 40.9323899600000018, -73.8086538000000019 40.9336568000000014, -73.8073819899999961 40.9336568000000014, -73.8057081900000043 40.9336568000000014, -73.8045700100000062 40.9336568000000014, -73.8028962199999938 40.9336568000000014, -73.8013566000000054 40.9336568000000014, -73.8013566000000054 40.9319898999999978, -73.8013566000000054 40.9310564399999990, -73.8013566000000054 40.9298562700000019, -73.8013566000000054 40.9284560700000029, -73.8013566000000054 40.9269892000000013, -73.8022267000000056 40.9269892000000013, -73.8035657399999963 40.9269892000000013, -73.8044361099999975 40.9269892000000013, -73.8057751500000023 40.9269892000000013, -73.8067124699999937 40.9269892000000013, -73.8086538000000019 40.9269892000000013))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 38 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089512-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ackcwe
title: Occurrence Download

description: A dataset containing 1989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrrhula pyrrhula (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1989 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071300-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgxka5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena orbelica (Ančev & Uzunov) Španiel, Al-Shehbaz, D.A.German & Marhold"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051039-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bsvay
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cakile constricta Rodman"
 ]
}

 The dataset includes 291 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156302-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qfk77
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomacentrus fakfakensis Allen & Erdmann, 2009"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071321-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrw5qg
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena peltarioidea (Boiss.) Španiel, Al-Shehbaz, D.A.German & Marhold"
 ]
}

 The dataset includes 111 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051032-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.