cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29539820.v1
title: Aggregated Fake News Corpus for X-FRAME: Preprocessed Multi-Domain Dataset for Explainable Misinformation Detection

description: This dataset is associated with the research article titled:<b>"Decoding Disinformation: A Feature-Driven Explainable AI Approach to Multi-Domain Fake News Detection"</b>This corpus aggregates, harmonizes, and standardizes data from <b>eight widely used fake news datasets</b>. It supports multi-domain fake news detection with emphasis on <b>explainability</b>, <b>cross-modal generalization</b>, and <b>robust performance</b>.📂 Included DatasetsThe following original datasets are incorporated:<b>LIAR</b> – Political fact-checked claims (PolitiFact)<b>FakeNewsNet</b> – News + social media from <b>PolitiFact</b>, <b>BuzzFeed</b>, and <b>GossipCop</b><b>ISOT Fake News Dataset</b> – Real/fake news articles<b>WELFake</b> – Automatically generated and real news<b>FNC-1 (Fake News Challenge)</b> – Stance-labeled news headline-body pairs<b>Celebrity Rumors</b> – Real/fake celebrity news<b>FakeNewsAMT</b> – Crowdsourced fake/real news headlines<b>PHEME</b> – Rumor cascades from Twitter🔧 Preprocessing StepsEach dataset was preprocessed using a unified pipeline:<b>Text Cleaning</b>: Token normalization, lowercasing, punctuation removal, URL and username stripping.<b>Label Harmonization</b>: All datasets were mapped to a <b>binary schema</b>:<br><code>1 = Fake</code>, <code>0 = Real</code>.Multi-class datasets (e.g., LIAR, FNC-1) were carefully re-labeled using rules aligned with original paper guidelines.<b>Deduplication</b>: Duplicate content across datasets was removed using fuzzy string matching and content hashing.<b>Metadata Retention</b>: Source dataset names, topic labels, and speaker/source fields were retained where available.<b>Corpus Merging</b>: All datasets were combined into a single <code>.csv</code> file with the following columns:<code>text</code>: News content or claim<code>label</code>: 1 (Fake) or 0 (Real)<code>source_dataset</code>: Original dataset name<code>topic</code> (if available)<code>speaker</code> or <code>source</code> (if applicable)Additional metadata (optional)The final corpus contains <b>286,260 unique samples</b>, balanced across news sources, domains, and platforms (formal vs. social media).📘 Citation GuidelinesPlease cite this aggregated corpus as:Nwaiwu, S., Jongsawat, N., & Tungkasthan, A. (2025). <i>Aggregated Fake News Corpus for X-FRAME: Preprocessed Multi-Domain Dataset for Explainable Misinformation Detection</i>. Figshare. https://doi.org/[YOUR DOI]In addition, users are encouraged to cite the original datasets individually. References:Wang (2017) – LIAR: https://doi.org/10.18653/v1/P17-2067Shu et al. – FakeNewsNet: https://doi.org/10.1145/3363574Ahmed et al. – ISOT: https://doi.org/10.48550/arXiv.1708.07104WELFake Dataset: https://doi.org/10.1109/TCSS.2021.3068519FNC-1: https://www.fakenewschallenge.org/Pérez-Rosas et al. – FakeNewsAMT: https://doi.org/10.18653/v1/C18-1287Zubiaga et al. – PHEME: https://doi.org/10.6084/m9.figshare.4010619.v1Horne & Adalı – Celebrity Rumors: https://doi.org/10.1609/icwsm.v11i1.15015
DOI: 10.15468/dl.twgxju
title: Occurrence Download

description: A dataset containing 2354 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Arnica chamissonis)"
 ]
}

 The dataset includes 2354 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013360-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25949/30192943
title: A System Dynamics Model of Telehealth in Rural Emergency Departments in Australia.

description: This system dynamics model operationalises the Gartner Hype Cycle to examine how clinician-to-clinician emergency telehealth affects rural workforce sustainability through evolving stakeholder perceptions about benefits and limitations and resource allocation decisions. To open the model file, use Vensim software (system dynamics simulation software).
DOI: 10.25949/30192943.v3
title: A System Dynamics Model of Telehealth in Rural Emergency Departments in Australia.

description: This system dynamics model operationalises the Gartner Hype Cycle to examine how clinician-to-clinician emergency telehealth affects rural workforce sustainability through evolving stakeholder perceptions about benefits and limitations and resource allocation decisions. To open the model file, use Vensim software (system dynamics simulation software).
DOI: 10.25949/30192943.v2
title: A System Dynamics Model of Telehealth in Rural Emergency Departments in Australia.

description: This system dynamics model operationalises the Gartner Hype Cycle to examine how clinician-to-clinician telehealth implementation affects rural workforce sustainability through evolving stakeholder perceptions about benefits and limitation and resource allocation decisions. To open the model file, use Vensim software (system dynamics simulation software)
DOI: 10.15468/dl.r7dgfc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013363-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqeb33
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013364-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3w9ffk
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013362-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26300/b2df-k359
title: in vitro Fz data and code for CaBLAM Nature Methods Paper
DOI: 10.15468/dl.jvxgan
title: Occurrence Download

description: A dataset containing 177883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-76.47973 5.25742,-77.0563 2.40491,-77.63436 0.28327,-75.46948 -2.07299,-71.17927 7.99513,-74.6785 7.84381,-76.47973 5.25742))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ramphastidae"
 ]
}

 The dataset includes 177883 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013306-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17195715
title: Dataset on the four dominant marine bivalve species from the Western Algerian coast (Mostaganem to Tlemcen)

description: Purpose:This dataset provides a structured record of the four most abundant marine bivalve species along the western Algerian coast (Mostaganem to Tlemcen). The objectives are to:





Document occurrences and abundances of Acanthocardia tuberculata, Donax trunculus, Glycymeris nummaria, and Chamelea gallina.




Provide photographic records for each species.




Serve as a reference for taxonomic and ecological studies.




Support development of AI-based species identification tools.



Additional information:





Sampling was conducted at low tide on sandy beaches; environmental conditions such as weather and tidal cycles were noted when relevant.




Only the four most abundant species are included; rare species were not recorded.




Species identifications were verified using classical taxonomic keys and literature and photographs were cross-checked.



Sampling description: Manual collection of individuals on sandy beaches during low tide; opportunistic collection of shells on the substrate.

Sampling effort: Three seasonal campaigns: summer 2019, autumn 2019, spring 2020.





Region: Western Algerian coast, Mediterranean Sea




Range: Mostaganem (northeast) → Tlemcen (west)




Habitats: Sandy beaches and shallow coastal areas






Rank
Scientific Name


species


Acanthocardia tuberculata (Linnaeus, 1758) 



species


Donax trunculus (Linnaeus, 1758)



species


Glycymeris nummaria (Linnaeus, 1758)



species


Chamelea gallina (Linnaeus, 1758)
DOI: 10.5281/zenodo.17195716
title: Dataset on the four dominant marine bivalve species from the Western Algerian coast (Mostaganem to Tlemcen)

description: Purpose:This dataset provides a structured record of the four most abundant marine bivalve species along the western Algerian coast (Mostaganem to Tlemcen). The objectives are to:





Document occurrences and abundances of Acanthocardia tuberculata, Donax trunculus, Glycymeris nummaria, and Chamelea gallina.




Provide photographic records for each species.




Serve as a reference for taxonomic and ecological studies.




Support development of AI-based species identification tools.



Additional information:





Sampling was conducted at low tide on sandy beaches; environmental conditions such as weather and tidal cycles were noted when relevant.




Only the four most abundant species are included; rare species were not recorded.




Species identifications were verified using classical taxonomic keys and literature and photographs were cross-checked.



Sampling description: Manual collection of individuals on sandy beaches during low tide; opportunistic collection of shells on the substrate.

Sampling effort: Three seasonal campaigns: summer 2019, autumn 2019, spring 2020.





Region: Western Algerian coast, Mediterranean Sea




Range: Mostaganem (northeast) → Tlemcen (west)




Habitats: Sandy beaches and shallow coastal areas






Rank
Scientific Name


species


Acanthocardia tuberculata (Linnaeus, 1758) 



species


Donax trunculus (Linnaeus, 1758)



species


Glycymeris nummaria (Linnaeus, 1758)



species


Chamelea gallina (Linnaeus, 1758)
DOI: 10.15468/dl.a4pavc
title: Occurrence Download

description: A dataset containing 5075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5075 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013366-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sa4yv
title: Occurrence Download

description: A dataset containing 984059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Characiformes"
 ]
}

 The dataset includes 984059 records from 710 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013295-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5k97xq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013367-250920141307145/datasets/export for details.
DOI: 10.15468/dl.78rwfd
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013368-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/qfj4dzve
title: Rutgers University glider data in the Gulf of America from 2024-01-28 to 2024-04-04
DOI: 10.5281/zenodo.15808004
title: Detection and spread of high pathogenicity avian influenza virus H5N1 in the Antarctic Region

description: Ashley C Banyard , Ashley Bennison , Alexander M P Byrne , Scott M Reid , Joshua G Lynton-Jenkins , Benjamin Mollett , Dilhani De Silva , Jacob Peers-Dent , Kim Finlayson , Rosamund Hall , Freya Blockley , Marcia Blyth , Marco Falchieri , Zoe Fowler , Elaine M Fitzcharles , Ian H Brown , Joe James
DOI: 10.5281/zenodo.15808003
title: Detection and spread of high pathogenicity avian influenza virus H5N1 in the Antarctic Region

description: Ashley C Banyard , Ashley Bennison , Alexander M P Byrne , Scott M Reid , Joshua G Lynton-Jenkins , Benjamin Mollett , Dilhani De Silva , Jacob Peers-Dent , Kim Finlayson , Rosamund Hall , Freya Blockley , Marcia Blyth , Marco Falchieri , Zoe Fowler , Elaine M Fitzcharles , Ian H Brown , Joe James
DOI: 10.15468/dl.f98uzy
title: Occurrence Download

description: A dataset containing 1078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1078 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013369-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.564n6d
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013370-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh4dsf
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica austriaca",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013371-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3czsk
title: Occurrence Download

description: A dataset containing 1485878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cettia cetti)",
 "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 1485878 records from 1606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013329-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c62hv5
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calicium salicinum Pers."
 ]
}

 The dataset includes 77 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004316-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-0651
title: État civil - Fichier détail Naissances - 2003

description: Le fichier annuel des naissances est le résultat de l'exploitation des bulletins d'état civil envoyés par les mairies ayant enregistré des naissances en France métropolitaine et dans les DOM (Guadeloupe, Martinique, Guyane, La Réunion). Le fichier comporte des enfants nés vivants et des enfants nés sans vie. Le fichier de 2003 comprend 801 261 observations. L'enregistrement de la naissance est effectué dans la commune de l'accouchement. Les renseignements sont demandés au déclarant et si possible, contrôlés d'après le Livret de famille. En règle générale un enfant doit être déclaré à l'état civil dès lors que la gestation a duré au moins 180 jours. Cependant, lorsque l'enfant est mort-né, à partir de la circulaire du 30 novembre 2001, un bulletin d'enfant sans vie est établi dès 22 semaines d'aménorrhée (au lieu de 28 auparavant) ou si l'enfant à atteint un poids de 500 gr. Ce changement législatif dans les règles de déclaration entraine une augmentation du nombre d'enfants sans vie par rapport aux années antérieures. Ainsi, le nombre d'enfants sans vie passe de 4000 en 2001 à près de 6700 en 2002. Cette source administrative permet de comptabiliser et d'étudier les naissances selon divers critères sociodémographiques (sexe de l'enfant, âge des parents, environnement familial, situation professionnelle des parents, tranche d'unité urbaine ...).
DOI: 10.13144/lil-0652
title: État civil - Fichier détail Naissances - 2004

description: Le fichier annuel des naissances est le résultat de l'exploitation des bulletins d'état civil envoyés par les mairies ayant enregistré des naissances en France métropolitaine et dans les DOM (Guadeloupe, Martinique, Guyane, La Réunion). Le fichier comporte des enfants nés vivants et des enfants nés sans vie. Le fichier de 2004 comprend 807 751 observations. L'enregistrement de la naissance est effectué dans la commune de l'accouchement. Les renseignements sont demandés au déclarant et si possible, contrôlés d'après le Livret de famille. En règle générale un enfant doit être déclaré à l'état civil dès lors que la gestation a duré au moins 180 jours. Cependant, lorsque l'enfant est mort-né, à partir de la circulaire du 30 novembre 2001, un bulletin d'enfant sans vie est établi dès 22 semaines d'aménorrhée (au lieu de 28 auparavant) ou si l'enfant à atteint un poids de 500 gr. Ce changement législatif dans les règles de déclaration entraine une augmentation du nombre d'enfants sans vie par rapport aux années antérieures. Ainsi, le nombre d'enfants sans vie passe de 4000 en 2001 à près de 6700 en 2002. Cette source administrative permet de comptabiliser et d'étudier les naissances selon divers critères sociodémographiques (sexe de l'enfant, âge des parents, environnement familial, situation professionnelle des parents, tranche d'unité urbaine ...).
DOI: 10.13144/lil-0655
title: État civil - Fichier détail Naissances - 2007

description: Le fichier annuel des naissances est le résultat de l'exploitation des bulletins d'état civil envoyés par les mairies ayant enregistré des naissances en France métropolitaine et dans les DOM (Guadeloupe, Martinique, Guyane, La Réunion). Le fichier comporte des enfants nés vivants et des enfants nés sans vie. Le fichier de 2007 comprend 827 335 observations. L'enregistrement de la naissance est effectué dans la commune de l'accouchement. Les renseignements sont demandés au déclarant et si possible, contrôlés d'après le Livret de famille. En règle générale un enfant doit être déclaré à l'état civil dès lors que la gestation a duré au moins 180 jours. Cependant, lorsque l'enfant est mort-né, à partir de la circulaire du 30 novembre 2001, un bulletin d'enfant sans vie est établi dès 22 semaines d'aménorrhée (au lieu de 28 auparavant) ou si l'enfant à atteint un poids de 500 gr. Ce changement législatif dans les règles de déclaration entraine une augmentation du nombre d'enfants sans vie par rapport aux années antérieures. Ainsi, le nombre d'enfants sans vie passe de 4000 en 2001 à près de 6700 en 2002. Cette source administrative permet de comptabiliser et d'étudier les naissances selon divers critères sociodémographiques (sexe de l'enfant, âge des parents, environnement familial, situation professionnelle des parents, tranche d'unité urbaine ...).
DOI: 10.13144/lil-0659
title: État civil - Fichier détail Décès - 1999

description: Le fichier annuel des décès est le résultat de l'exploitation des bulletins d'état civil envoyés par les mairies ayant enregistré des décès en France métropolitaine et dans les DOM (Guadeloupe, Martinique, Guyane, La Réunion). Le fichier de 1999 comprend 547 377 observations. L'enregistrement du décès est effectué dans la commune où a eu lieu le décès. Les renseignements sont demandés au déclarant et inscrits sur le bulletin de décès. Les causes de décès sont traitées par l'Inserm et ne figurent pas dans ce fichier. Cette source administrative permet de comptabiliser et d'étudier les décès selon divers critères sociodémographiques (sexe, âge, état matrimonial ...) ainsi que la mortalité infantile.
DOI: 10.15468/dl.fr94qv
title: Occurrence Download

description: A dataset containing 864482 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Fungi Databank"
 ]
}

 The dataset includes 864482 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025921-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyqaf6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alytes muletensis (Sanchíz & Adrover, 1979)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025974-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmn8sn
title: Occurrence Download

description: A dataset containing 4543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lagidium viscacia (Molina, 1782)"
 ]
}

 The dataset includes 4543 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007772-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.