cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17198831
title: Supplementary material from: Puget Gil J, Coquery E, Samuel J, Gesquière G (2025) Condensed Representation of RDF and its Application on Graph Versioning

description: The dataset is a set of performance and resource usage metrics for each of the benchmarked versioned triple stores.These results are computed from the logs generated during the workflow execution.
DOI: 10.5281/zenodo.17198832
title: Supplementary material from: Puget Gil J, Coquery E, Samuel J, Gesquière G (2025) Condensed Representation of RDF and its Application on Graph Versioning

description: The dataset is a set of performance and resource usage metrics for each of the benchmarked versioned triple stores.These results are computed from the logs generated during the workflow execution.
DOI: 10.34740/kaggle/dsv/13167430
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.v3xvm9
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Rheomys underwoodi"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015055-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17093853
title: Raw Text Edition of the Old French "Floire et Blancheflor" in Paris, Bibliothèque nationale de France, MS Français 12562

description: A raw text edition of the Old French Floire et Blancheflor based on manual transcription from images of Paris, Bibliothèque nationale de France, MS Français 12562. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.5281/zenodo.17093854
title: Raw Text Edition of the Old French "Floire et Blancheflor" in Paris, Bibliothèque nationale de France, MS Français 12562

description: A raw text edition of the Old French Floire et Blancheflor based on manual transcription from images of Paris, Bibliothèque nationale de France, MS Français 12562. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.15468/dl.dead6e
title: Occurrence Download

description: A dataset containing 872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alosa alosa)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 872 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015059-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw92vc
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Rheomys raptor"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015054-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj4xzx
title: Occurrence Download

description: A dataset containing 9777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Artemisia alba"
 ]
}

 The dataset includes 9777 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015060-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yjxkb
title: Occurrence Download

description: A dataset containing 2331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Turdus mandarinus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2331 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015057-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qxww3
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "TaxonKey is Handleyomys alfaroi"
 ]
}

 The dataset includes 484 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015056-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17093715
title: Raw Text Edition of the Anglo-Norman "Floire et Blancheflor" in Vaticano, Biblioteca Apostolica Vaticana, Palatini latini, 1971

description: A raw text edition of the Anglo-Norman Floire et Blancheflor based on manual transcription from images of Vaticano, Biblioteca Apostolica Vaticana, Palatini latini, 1971. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.5281/zenodo.17093653
title: Raw Text Edition of the Anglo-Norman "Floire et Blancheflor" in Vaticano, Biblioteca Apostolica Vaticana, Palatini latini, 1971

description: A raw text edition of the Anglo-Norman Floire et Blancheflor based on manual transcription from images of Vaticano, Biblioteca Apostolica Vaticana, Palatini latini, 1971. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.15468/dl.3mc9n4
title: Occurrence Download

description: A dataset containing 372404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Testudo marginata, Leiocephalus carinatus, Iguana iguana, Testudo hermanni, Python bivittatus, Hemidactylus turcicus, Vipera ammodytes, Anolis carolinensis, Indotyphlops braminus, Phelsuma lineata, Protobothrops mucrosquamatus, Hemiphyllodactylus typus, Gonatodes albogularis, Podarcis siculus, Ctenosaura pectinata, Lepidodactylus lugubris, Gehyra mutilata)"
 ]
}

 The dataset includes 372404 records from 940 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015027-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17097549
title: Raw Text Edition of the Italian "Fiorio e Biancifiore" in Florence, Biblioteca nazionale centrale, Magliabechiano, Cl. VIII, 1416

description: A raw text edition of the Italian Fiorio e Biancifiore based on manual transcription from images of Florence, Biblioteca nazionale centrale, Magliabechiano, Cl. VIII, 1416. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.5281/zenodo.17097548
title: Raw Text Edition of the Italian "Fiorio e Biancifiore" in Florence, Biblioteca nazionale centrale, Magliabechiano, Cl. VIII, 1416

description: A raw text edition of the Italian Fiorio e Biancifiore based on manual transcription from images of Florence, Biblioteca nazionale centrale, Magliabechiano, Cl. VIII, 1416. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.15468/dl.bfftvg
title: Occurrence Download

description: A dataset containing 1493891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Singapore",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 1493891 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015002-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eq7bra
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.12299 -18.05362,153.59755 -18.05362,153.59755 59.87672,-5.12299 59.87672,-5.12299 -18.05362))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthraxon prionodes"
 ]
}

 The dataset includes 379 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015061-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17197114
title: Knowledge Conflict Datasets for Fact-Checking

description: The wikipedia_current_event_2025_with_evidence.json and wikipedia_current_events_2024_with_evidence.json files contain automatically crawled recent events with corresponding evidence. The politifact_conflict.jsonl dataset is specifically constructed with conflicting external evidence to facilitate knowledge conflict analysis.

For the politifact_conflict.jsonl, each instance follows a structured format: claim_text represents the factual claim to be verified; cred_label is the label for the claim, based on the original dataset's annotation; evidence is the gold evidence provided by the original dataset, serving as the reference for determining the claim's truthfulness. To introduce knowledge conflicts, we construct two types of adversarial evidence: word_counter_evidence is generated through an Entity Substitution method; sentence_counter_evidence is generated via Counterfactual Evidence construction.

The complete datasets will be made publicly available upon acceptance.
DOI: 10.5281/zenodo.17197115
title: Knowledge Conflict Datasets for Fact-Checking

description: The wikipedia_current_event_2025_with_evidence.json and wikipedia_current_events_2024_with_evidence.json files contain automatically crawled recent events with corresponding evidence. The politifact_conflict.jsonl dataset is specifically constructed with conflicting external evidence to facilitate knowledge conflict analysis.

For the politifact_conflict.jsonl, each instance follows a structured format: claim_text represents the factual claim to be verified; cred_label is the label for the claim, based on the original dataset's annotation; evidence is the gold evidence provided by the original dataset, serving as the reference for determining the claim's truthfulness. To introduce knowledge conflicts, we construct two types of adversarial evidence: word_counter_evidence is generated through an Entity Substitution method; sentence_counter_evidence is generated via Counterfactual Evidence construction.

The complete datasets will be made publicly available upon acceptance.
DOI: 10.15468/dl.h5jrss
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodotypos scandens",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015064-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4ba3h
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodotypos scandens",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015065-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4eag8
title: Occurrence Download

description: A dataset containing 21841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Brachypodium phoenicoides"
 ]
}

 The dataset includes 21841 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015062-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwma3s
title: Occurrence Download

description: A dataset containing 1300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fulvetta vinipectus",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1300 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041308-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17395061
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251020h Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251020h Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17395062
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251020h Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251020h Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.v6ev6r
title: Occurrence Download

description: A dataset containing 724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-7.5 7.5,0 7.5,0 15,-7.5 15,-7.5 7.5))"
 ]
}

 The dataset includes 724 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041310-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0177636.10fu
title: SH0177636.10FU

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/sh0177637.10fu
title: SH0177637.10FU

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/sh0177638.10fu
title: SH0177638.10FU

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/sh0177639.10fu
title: SH0177639.10FU

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/sh0177640.10fu
title: SH0177640.10FU

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/sh0177641.10fu
title: SH0177641.10FU

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/sh0177642.10fu
title: SH0177642.10FU

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.18198786
title: London Output Areas
DOI: 10.5281/zenodo.18198787
title: London Output Areas