cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1177805.10fu
title: SH1177805.10FU

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/sh1177808.10fu
title: SH1177808.10FU

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/sh1177809.10fu
title: SH1177809.10FU

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.15102260
title: 4DHydro_Results01_Tetis_Po_7p5sec_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 7.5 sec, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Discharge flux in m-3 s-1

Total evapotranspiration flux in kg m-2 s-1

Volumetric soil moisture content in percentage
DOI: 10.5281/zenodo.15102261
title: 4DHydro_Results01_Tetis_Po_7p5sec_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 7.5 sec, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Discharge flux in m-3 s-1

Total evapotranspiration flux in kg m-2 s-1

Volumetric soil moisture content in percentage
DOI: 10.15468/dl.7rk345
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Italy",
 "GadmGid is ITA.10.10.154_1",
 "Geometry POLYGON((-10.99081 32.30761,34.99081 32.30761,34.99081 50.69239,-10.99081 50.69239,-10.99081 32.30761))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 59 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005554-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sx86f
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Litocranius walleri (Brooke, 1879)",
 "Year 1981-2010"
 ]
}

 The dataset includes 247 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005555-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbdue8
title: Occurrence Download

description: A dataset containing 2650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Quercus arbutifolia Hickel & A.Camus, Quercus asymmetrica Hickel & A.Camus, Quercus austrocochinchinensis Hickel & A.Camus, Quercus bambusifolia Hance, Quercus baniensis A.Camus, Quercus baolamensis H.T.Binh & Ngoc, Quercus bidoupensis H.T.Binh & Ngoc, Quercus blaoensis A.Camus, Quercus braianensis A.Camus, Quercus brevicalyx A.Camus, Quercus cambodiensis Hickel & A.Camus, Quercus camusiae Trel. ex Hickel & A.Camus, Quercus lineata Blume, Quercus chevalieri Hickel & A.Camus, Quercus thorelii Hickel & A.Camus, Quercus chrysocalyx Hickel & A.Camus, Quercus chrysotricha A.Camus, Quercus dankiaensis A.Camus, Quercus dilacerata Hickel & A.Camus, Quercus disciformis Chun & Tsiang, Quercus donnaiensis A.Camus, Quercus edithiae Skan, Quercus eumorpha Kurz, Quercus gaharuensis Soepadmo, Quercus gomeziana A.Camus, Quercus honbaensis H.T.Binh, Tagane & Yahara, Quercus kerangasensis Soepadmo, Quercus kinabaluensis Soepadmo, Quercus kingiana Craib, Quercus lenticellata Barnett, Quercus leucotrichophora A.Camus, Quercus liaoi C.F.Shen, Quercus lodicosa O.E.Warb. & E.F.Warb., Quercus mangdenensis H.T.Binh & Ngoc, 2022, Quercus merrillii Seemen, Quercus mespilifolia Wall. ex A.DC., Quercus ngochoaensis H.T.Binh & T.S.Hoang, Quercus nivea King, Quercus percoriacea Soepadmo, Quercus petelotii A.Camus, Quercus platycalyx Hickel & A.Camus, Quercus pseudoverticillata Soepadmo, Quercus quangtriensis Hickel & A.Camus, Quercus ramsbottomii A.Camus, Quercus rupestris Hickel & A.Camus, Quercus saravanensis A.Camus, Quercus sontraensis Ngoc, H.T.Binh & Son, 2022, Quercus steenisii Soepadmo, Quercus tarokoensis Hayata, Quercus tatakaensis Tomiya, Quercus treubiana Seemen, Quercus trungkhanhensis H.T.Binh & Ngoc, Quercus xanthoclada Drake, Quercus xanthotricha A.Camus, Quercus xuanlienensis H.T.Binh, Ngoc & T.N.Bon)"
 ]
}

 The dataset includes 2650 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005556-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15084057
title: Hall MHD Benchmark data for AGATE Simulation Code

description: Hall MHD simulation data for the GEM Reconnection challenge and the Orszag-Tang vortex benchmarks as generated by the AGATE simulation code and presented in the AGATE paper. These are to be used with the example notebooks found within the AGATE open-source repository, located at https://git.smce.nasa.gov/marble/agate-open-source/examples/benchmarks .
DOI: 10.5281/zenodo.15084058
title: Hall MHD Benchmark data for AGATE Simulation Code

description: Hall MHD simulation data for the GEM Reconnection challenge and the Orszag-Tang vortex benchmarks as generated by the AGATE simulation code and presented in the AGATE paper. These are to be used with the example notebooks found within the AGATE open-source repository, located at https://git.smce.nasa.gov/marble/agate-open-source/examples/benchmarks .
DOI: 10.15139/s3/b9c2mj
title: Monmouth University Georgia Poll, Number 263

description: This survey was conducted among Georgia voters and addresses the 2022 gubernatorial election and US Senate race.
DOI: 10.5519/qd.aqqnr6e0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (840 records)
DOI: 10.15468/dl.fg369s
title: Occurrence Download

description: A dataset containing 963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippopotamus amphibius Linnaeus, 1758",
 "Year 1981-2010"
 ]
}

 The dataset includes 963 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005557-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hw9k7
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-123.3651217403063 41.763193832565776, -123.36851257056271 41.76255188484953, -123.3716708578875 41.761426888258185, -123.37447517101926 41.75986210694991, -123.37681771457646 41.75791771308869, -123.37860847571086 41.75566846859861, -123.37977868175174 41.753200846020285, -123.38028343619754 41.75060970003967, -123.38010343280915 41.747994618420414, -123.37924568365013 41.745456093156925, -123.37774323521165 41.743091659254254, -123.37565388572348 41.74099214942186, -123.37305795487983 41.73923820816785, -123.37005519307323 41.7378971985327, -123.36676094953737 41.737020619443506, -123.3633017464254 41.7366421320137, -123.35981042786078 41.73677626981924, -123.35642106867327 41.737417882128646, -123.35326383636725 41.73854233121749, -123.35046000158702 41.74010643627989, -123.34811728688952 41.742050128104204, -123.34632573117754 41.74429875164501, -123.34515422808906 41.74676592889568, -123.34464787158934 41.74935687296728, -123.34482621181579 41.75197202683504, -123.34568248990597 41.75451088750532, -123.34718388332563 41.75687586891045, -123.34927275446213 41.75897605498872, -123.35186885644589 41.76073069827968, -123.35487241283 41.76207232886408, -123.35816795341347 41.76294935328101, -123.36162875857947 41.76332804261982, -123.3651217403063 41.763193832565776))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005558-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/c9sp-7q60
title: Bangla Social Media Cyberbullying Dataset

description: Cyberbullying is a growing problem on social media. This dataset helps detect cyberbullying in Bangla by collecting comments from YouTube, Facebook, Instagram, and TikTok. The data is categorized into two types: bullying and non-bullying. It includes various abusive and harmful texts, along with normal conversations. This dataset will help researchers and developers train AI models to automatically identify cyberbullying in Bangla text. The goal is to create better tools to keep online spaces safe for Bangla-speaking users.
DOI: 10.5281/zenodo.8377215
title: ercrema/japan_c14db: Curated Database of Radiocarbon Dates from Published in Japanese Archaeological Research Reports

description: This is the first official release of the curated English translation of the "Database of Radiocarbon Dates from Published in Japanese Archaeological Research Reports" published by the National Museum of Japanese History.

NOTE: This is a post-release correction of 1.1.0 with a minor edit for Figure 1 in the data paper.
DOI: 10.15468/dl.u8aymb
title: Occurrence Download

description: A dataset containing 58529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solanum elaeagnifolium Cav."
 ]
}

 The dataset includes 58529 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005547-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15085521
title: UGSC Multilingual Sentiment Dataset for Sustainable Mobility

description: This dataset contains the multilingual version of the User Gold Standard Corpus (UGSC) used in the study “Cross-Lingual Sentiment Classification in Sustainable Mobility: A Zero-Shot Evaluation Framework”.It includes sentence-aligned translations into five languages (English, Spanish, French, German, and Italian) and classification results using a pre-trained XLM-RoBERTa model.The dataset supports reproducible evaluation of multilingual sentiment models and contributes to research in transport-related NLP applications.
DOI: 10.5281/zenodo.15085522
title: UGSC Multilingual Sentiment Dataset for Sustainable Mobility

description: This dataset contains the multilingual version of the User Gold Standard Corpus (UGSC) used in the study “Cross-Lingual Sentiment Classification in Sustainable Mobility: A Zero-Shot Evaluation Framework”.It includes sentence-aligned translations into five languages (English, Spanish, French, German, and Italian) and classification results using a pre-trained XLM-RoBERTa model.The dataset supports reproducible evaluation of multilingual sentiment models and contributes to research in transport-related NLP applications.
DOI: 10.15468/dl.8ksyr6
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-123.3651217403063 41.763193832565776, -123.36851257056271 41.76255188484953, -123.3716708578875 41.761426888258185, -123.37447517101926 41.75986210694991, -123.37681771457646 41.75791771308869, -123.37860847571086 41.75566846859861, -123.37977868175174 41.753200846020285, -123.38028343619754 41.75060970003967, -123.38010343280915 41.747994618420414, -123.37924568365013 41.745456093156925, -123.37774323521165 41.743091659254254, -123.37565388572348 41.74099214942186, -123.37305795487983 41.73923820816785, -123.37005519307323 41.7378971985327, -123.36676094953737 41.737020619443506, -123.3633017464254 41.7366421320137, -123.35981042786078 41.73677626981924, -123.35642106867327 41.737417882128646, -123.35326383636725 41.73854233121749, -123.35046000158702 41.74010643627989, -123.34811728688952 41.742050128104204, -123.34632573117754 41.74429875164501, -123.34515422808906 41.74676592889568, -123.34464787158934 41.74935687296728, -123.34482621181579 41.75197202683504, -123.34568248990597 41.75451088750532, -123.34718388332563 41.75687586891045, -123.34927275446213 41.75897605498872, -123.35186885644589 41.76073069827968, -123.35487241283 41.76207232886408, -123.35816795341347 41.76294935328101, -123.36162875857947 41.76332804261982, -123.3651217403063 41.763193832565776))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005560-250325103851331/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.28684934.v1
title: mgCST_classifier_v2

description: Data and code to run the mgCST classifier v2 within the app
DOI: 10.15468/dl.uf8tsy
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Canada",
 "GadmGid is CAN.1_1",
 "TaxonKey is Pinus albicaulis Engelm."
 ]
}

 The dataset includes 210 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005561-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14833746
title: Data for "Prebiotic synthesis of the major classes of iron-sulfur clusters"

description: Published article in Chem Sci can be found here.

Data associated with Scintilla S, Rossetto D, Clémancey M, Rendon J, Ranieri A, Borsari M, Guella G, Assfalg M, Borsari M, Gambarelli S, Blondin G, Mansy SS (2025) Prebiotic synthesis of the major classes of iron-sulfur clusters. Chem Sci 16, 4614-4624. DOI: 10.1039/d5sc00524h
DOI: 10.5281/zenodo.14833747
title: Data for "Prebiotic synthesis of the major classes of iron-sulfur clusters"

description: Published article can be found here.

Data associated with Scintilla S, Rossetto D, Clémancey M, Rendon J, Ranieri A, Borsari M, Guella G, Assfalg M, Borsari M, Gambarelli S, Blondin G, Mansy SS (2025) Prebiotic synthesis of the major classes of iron-sulfur clusters. Chem Sci. DOI: 10.1039/d5sc00524h
DOI: 10.5281/zenodo.14864836
title: Data for "Prebiotic synthesis of the major classes of iron-sulfur clusters"

description: Published article in Chem Sci can be found here.

Data associated with Scintilla S, Rossetto D, Clémancey M, Rendon J, Ranieri A, Borsari M, Guella G, Assfalg M, Borsari M, Gambarelli S, Blondin G, Mansy SS (2025) Prebiotic synthesis of the major classes of iron-sulfur clusters. Chem Sci 16, 4614-4624. DOI: 10.1039/d5sc00524h
DOI: 10.15468/dl.jafqmr
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-123.3651217403063 41.763193832565776, -123.36851257056271 41.76255188484953, -123.3716708578875 41.761426888258185, -123.37447517101926 41.75986210694991, -123.37681771457646 41.75791771308869, -123.37860847571086 41.75566846859861, -123.37977868175174 41.753200846020285, -123.38028343619754 41.75060970003967, -123.38010343280915 41.747994618420414, -123.37924568365013 41.745456093156925, -123.37774323521165 41.743091659254254, -123.37565388572348 41.74099214942186, -123.37305795487983 41.73923820816785, -123.37005519307323 41.7378971985327, -123.36676094953737 41.737020619443506, -123.3633017464254 41.7366421320137, -123.35981042786078 41.73677626981924, -123.35642106867327 41.737417882128646, -123.35326383636725 41.73854233121749, -123.35046000158702 41.74010643627989, -123.34811728688952 41.742050128104204, -123.34632573117754 41.74429875164501, -123.34515422808906 41.74676592889568, -123.34464787158934 41.74935687296728, -123.34482621181579 41.75197202683504, -123.34568248990597 41.75451088750532, -123.34718388332563 41.75687586891045, -123.34927275446213 41.75897605498872, -123.35186885644589 41.76073069827968, -123.35487241283 41.76207232886408, -123.35816795341347 41.76294935328101, -123.36162875857947 41.76332804261982, -123.3651217403063 41.763193832565776))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005562-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qprw7b
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippotragus equinus (É.Geoffroy Saint-Hilaire, 1803)",
 "Year 1981-2010"
 ]
}

 The dataset includes 475 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005563-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/vzrdl2
title: Monmouth University National Poll, Number 264

description: This survey was conducted using a national sample and addresses President Joe Biden, the 2022 midterm election, the riot at the US Capitol on Jan. 6, US Supreme Court and Covid.
DOI: 10.15468/dl.g5hzq8
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-123.3651217403063 41.763193832565776, -123.36851257056271 41.76255188484953, -123.3716708578875 41.761426888258185, -123.37447517101926 41.75986210694991, -123.37681771457646 41.75791771308869, -123.37860847571086 41.75566846859861, -123.37977868175174 41.753200846020285, -123.38028343619754 41.75060970003967, -123.38010343280915 41.747994618420414, -123.37924568365013 41.745456093156925, -123.37774323521165 41.743091659254254, -123.37565388572348 41.74099214942186, -123.37305795487983 41.73923820816785, -123.37005519307323 41.7378971985327, -123.36676094953737 41.737020619443506, -123.3633017464254 41.7366421320137, -123.35981042786078 41.73677626981924, -123.35642106867327 41.737417882128646, -123.35326383636725 41.73854233121749, -123.35046000158702 41.74010643627989, -123.34811728688952 41.742050128104204, -123.34632573117754 41.74429875164501, -123.34515422808906 41.74676592889568, -123.34464787158934 41.74935687296728, -123.34482621181579 41.75197202683504, -123.34568248990597 41.75451088750532, -123.34718388332563 41.75687586891045, -123.34927275446213 41.75897605498872, -123.35186885644589 41.76073069827968, -123.35487241283 41.76207232886408, -123.35816795341347 41.76294935328101, -123.36162875857947 41.76332804261982, -123.3651217403063 41.763193832565776))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005565-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk7mzj
title: Occurrence Download

description: A dataset containing 1296407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanessa cardui (Linnaeus, 1758)"
 ]
}

 The dataset includes 1296407 records from 3640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005559-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.