cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w9kf4s
title: Occurrence Download

description: A dataset containing 4823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Equisetum palustre L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4823 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083445-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kgwru
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 113 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083446-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sh4n2
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083448-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymkp5t
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is Philippines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083447-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.332sj2
title: Occurrence Download

description: A dataset containing 521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 521 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083451-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad8wwc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083450-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tzcutp
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083452-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15212664
title: Arg-C Ultra simplifies histone preparation for LC-MS/MS
DOI: 10.5281/zenodo.15212663
title: Arg-C Ultra simplifies histone preparation for LC-MS/MS
DOI: 10.48544/69d1fea9-a9bc-4ad8-86fd-016c9b9f05ba
title: Vierde evaluatie Wet medisch-wetenschappelijk onderzoek met mensen en evaluatie Centrale Commissie Mensgebonden Onderzoek
DOI: 10.34740/kaggle/dsv/12337575
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.r4rxsg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia monacantha Haw.",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083454-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23673/re-524
title: Tajusõnavara andmestik ET DE 2025

description: Andmed on kogutud Tallinna Ülikooli Humanitaarinstituudi lingvistika osakonna doktoriväitekirja „Eesti ja saksa aktiivse värvi-, maitse- ja lõhnasõnavara empiiriline uurimus“ (2025) raames, analüüsimaks analüüsisin aktiivset tajusõnavara kolmes tajuvaldkonnas: nägemine, maitse ja lõhn. Avaandmed on tehtud kättesaadavaks eesmärgil, et neid kasutada edaspidistes samalaadsetes uurimustes kas algandmete või analüüsi- ja/või võrdlusalusena. Andmestik hõlmab eesti ja saksa nägemismeele, sh värvisõnavara, maitse- ja lõhnasõnavara andmeid, mis on kogutud vaba loetelu katsetega silmast-silma küsitluse käigus kokku 129 keelejuhilt vahemikus 2018–2022.
DOI: 10.15468/dl.hbcdat
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astilbe macroflora Hayata"
 ]
}

 The dataset includes 210 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083456-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aeft9u
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia phaeacantha Engelm.",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083457-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87tecr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia phaeacantha Engelm.",
 "Country is Georgia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083458-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kuetfq
title: Occurrence Download

description: A dataset containing 2312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luzula pilosa (L.) Willd.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2312 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083459-250525065834625/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.29444291
title: CarbonMonitor-China: a near-real-time CO<sub>2</sub> emission dataset for 31 provinces in China 2019-2025

description: The dataset contains 36,3165 data records, constructed in a uniform format with four columns (province, sector, date, and value). Of these:The column “province” includes 31 unique elements, indicating 31 provinces in China, i.e., Shanghai, Yunnan, Inner Mongolia, Beijing, Jilin, Sichuan, Tianjin, Ningxia, Anhui, Shandong, Shanxi, Guangdong, Guangxi, Xinjiang, Jiangsu, Jiangxi, Hebei, Henan, Zhejiang, Hainan, Hubei, Hunan, Gansu, Fujian, Tibet, Guizhou, Liaoning, Chongqing, Shaanxi, Qinghai, and Heilongjiang.The column “sector” includes 5 unique elements, indicating 5 sectors, i.e., Power, Industry, Ground transport, Aviation and Residential.The column “date” includes 2,282 unique elements, ranging from 2019/1/1 to 2025/3/31.The column “value” represents the daily CO2 emission estimation on the corresponding date, province, and sector, with the unit in kilotonnes of CO<sub>2</sub> emissions (ktCO<sub>2</sub>)
DOI: 10.6084/m9.figshare.29444291.v1
title: CarbonMonitor-China: a near-real-time CO<sub>2</sub> emission dataset for 31 provinces in China 2019-2025

description: The dataset contains 36,3165 data records, constructed in a uniform format with four columns (province, sector, date, and value). Of these:The column “province” includes 31 unique elements, indicating 31 provinces in China, i.e., Shanghai, Yunnan, Inner Mongolia, Beijing, Jilin, Sichuan, Tianjin, Ningxia, Anhui, Shandong, Shanxi, Guangdong, Guangxi, Xinjiang, Jiangsu, Jiangxi, Hebei, Henan, Zhejiang, Hainan, Hubei, Hunan, Gansu, Fujian, Tibet, Guizhou, Liaoning, Chongqing, Shaanxi, Qinghai, and Heilongjiang.The column “sector” includes 5 unique elements, indicating 5 sectors, i.e., Power, Industry, Ground transport, Aviation and Residential.The column “date” includes 2,282 unique elements, ranging from 2019/1/1 to 2025/3/31.The column “value” represents the daily CO2 emission estimation on the corresponding date, province, and sector, with the unit in kilotonnes of CO<sub>2</sub> emissions (ktCO<sub>2</sub>)
DOI: 10.15479/at:ista:19885
title: Automated All-RF Tuning for Spin Qubit Readout and Control

description: This .zip file contains the data to reproduce the figures and supplementary figures of "Automated All-RF Tuning for Spin Qubit Readout and Control" by Cornelius Carlsson and Jaime Saez-Mollejo et al.
DOI: 10.5281/zenodo.15780330
title: Dataset for "Communicating astrobiology and the search for life elsewhere"
DOI: 10.15468/dl.a8jfmf
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia polyacantha Haw.",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083460-250525065834625/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.29444288
title: Datasets.zip

description: Details have been included in the descriptive excel document in the zip file.
DOI: 10.6084/m9.figshare.29444288.v1
title: Datasets.zip

description: Details have been included in the descriptive excel document in the zip file.
DOI: 10.15468/dl.baxcdg
title: Occurrence Download

description: A dataset containing 7185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campanula portenschlagiana Schult.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7185 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075021-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xeaerb
title: Occurrence Download

description: A dataset containing 4757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emberiza aureola Pallas, 1773"
 ]
}

 The dataset includes 4757 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119878-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdmsq8
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus sadleriana R.Br.ter",
 "Year 1990-2020"
 ]
}

 The dataset includes 38 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093340-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btvbga
title: Occurrence Download

description: A dataset containing 3233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 12.7686819839947",
 "DecimalLongitude is less than 12.7717415371791",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3233 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014269-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5wrxq
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "HasCoordinate is true",
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Recorded date invalid",
 "Issue is Recorded date unlikely",
 "Issue is Basis of record invalid",
 "Issue is Occurrence status inferred from individual count"
 ]
 },
 "TaxonKey is Mannia triandra (Scop.) Grolle"
 ]
}

 The dataset includes 203 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129137-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2fvt7
title: Occurrence Download

description: A dataset containing 21198906 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sturnus vulgaris Linnaeus, 1758"
 ]
}

 The dataset includes 21198906 records from 4346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013147-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0082630.10fu
title: SH0082630.10FU

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: 10.13145/bacdive15027.20251217.10
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15028.20241212.9.2
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0082631.10fu
title: SH0082631.10FU

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: 10.13145/bacdive15028.20251217.10
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0082632.10fu
title: SH0082632.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.34740/kaggle/dsv/14411954
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.13145/bacdive15029.20241212.9.2
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15029.20251217.10
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0082633.10fu
title: SH0082633.10FU

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: 10.13145/bacdive15030.20241212.9.2
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15030.20251217.10
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0082634.10fu
title: SH0082634.10FU

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: 10.13145/bacdive15031.20241212.9.2
title: Kitasatospora aureofaciens (Duggar 1948) Labeda et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0082635.10fu
title: SH0082635.10FU

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.