cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18253271
title: Indic Media Bias Detection Dataset

description: Media bias classification remains an under-researched problem for low-resource languages. In this paper, we introduce the first exhaustive annotated dataset consisting of 300 unique articles from two leading Indian news agencies publishing in Hindi. We focus on Hindi, the most spoken and an official language of India. The study of media bias is particularly relevant in the Indian context due to the country’s linguistic diversity and large population, where the same event is often reported by multiple news agencies in different languages, thereby introducing scope for bias.

The dataset comprises Hindi political news articles annotated by nine expert annotators and classified into nine bias categories when an article is identified as biased. For each biased article, annotators also provide a textual explanation, enabling future automated approaches to incorporate explainability when language models reason over the dataset. Cohen’s Kappa scores were 0.81 for simple bias/no-bias classification and 0.60 for the top-three average bias score, reflecting moderate to strong inter-annotator agreement.
DOI: 10.57760/sciencedb.35273
title: Viral load data of Lactobacillus plantarum against H1N1 influenza virus
title: Viral load data of Lactobacillus plantarum against H1N1 influenza virus

description: qPCR was used to detect the viral load in the lungs of mice treated with Lactobacillus plantarum against influenza virus. qPCR assays were performed using an ABI 7500 qPCR System, and the experiment was conducted on July 17, 2025. The table includes the detection results of ZO-1, HA, Occludin, and GAPDH.
description: qPCR was used to detect the viral load in the lungs of mice treated with Lactobacillus plantarum against influenza virus. qPCR assays were performed using an ABI 7500 qPCR System, and the experiment was conducted on July 17, 2025. The table includes the detection results of ZO-1, HA, Occludin, and GAPDH.
DOI: 10.5281/zenodo.18253270
title: Indic Media Bias Detection Dataset

description: Media bias classification remains an under-researched problem for low-resource languages. In this paper, we introduce the first exhaustive annotated dataset consisting of 300 unique articles from two leading Indian news agencies publishing in Hindi. We focus on Hindi, the most spoken and an official language of India. The study of media bias is particularly relevant in the Indian context due to the country’s linguistic diversity and large population, where the same event is often reported by multiple news agencies in different languages, thereby introducing scope for bias.

The dataset comprises Hindi political news articles annotated by nine expert annotators and classified into nine bias categories when an article is identified as biased. For each biased article, annotators also provide a textual explanation, enabling future automated approaches to incorporate explainability when language models reason over the dataset. Cohen’s Kappa scores were 0.81 for simple bias/no-bias classification and 0.60 for the top-three average bias score, reflecting moderate to strong inter-annotator agreement.
DOI: 10.5281/zenodo.7718743
title: GMT file for Arabidopsis thaliana pathways

description: Monthly data release from WikiPathways.org
DOI: 10.5285/9885fb709fbe4caba054bac772cefdd5
title: NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington, v8.0 (20131106-20140831)

description: Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20131106 and 20140831.

Data products from this deployment include: snr-winds

For further details of this deployment and the associated dataset please see the internal file metadata.

These data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.
DOI: 10.15468/dl.mzq7tf
title: Occurrence Download

description: A dataset containing 44174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthophora plumipes",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44174 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038844-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17588113
title: Modelling the Net Adaptation Effects of Agricultural Insurances

description: Input data and parameters, code and results for the study "Modelling the Net Adaptation Effects of Agricultural Insurances" (to be submitted).
DOI: 10.5281/zenodo.17588114
title: Modelling the Net Adaptation Effects of Agricultural Insurances

description: Input data and parameters, code and results for the study "Modelling the Net Adaptation Effects of Agricultural Insurances" (to be submitted).
DOI: 10.15468/ebkqxd
title: Données Mammifères marins ORCA - Données observation à bord d'un ferry de Mammifères marins ORCA

description: Observation à bord d'un ferry PRIDE OF BILBAO
DOI: 10.15468/dl.6vx4fr
title: Occurrence Download

description: A dataset containing 93418 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Vesalea mexicana",
 "TaxonKey is Diabelia serrata",
 "TaxonKey is Vachellia californica",
 "TaxonKey is Acalypha phleoides",
 "TaxonKey is Acalypha stricta",
 "TaxonKey is Acalypha californica",
 "TaxonKey is Feijoa sellowiana",
 "TaxonKey is Acer amplum amplum",
 "TaxonKey is Acer coriaceifolium",
 "TaxonKey is Acer davidii grosseri",
 "TaxonKey is Acer pictum mono",
 "TaxonKey is Acer caudatifolium",
 "TaxonKey is Acer pentaphyllum",
 "TaxonKey is Achillea thracica",
 "TaxonKey is Gitara nicaraguensis",
 "TaxonKey is Acokanthera oppositifolia",
 "TaxonKey is Acrophyllum australe",
 "TaxonKey is Actinodaphne henryi",
 "TaxonKey is Neolitsea cambodiana glabra",
 "TaxonKey is Adenium obesum somalense",
 "TaxonKey is Adina metcalfii",
 "TaxonKey is Aesculus flava",
 "TaxonKey is Aglaia perviridis",
 "TaxonKey is Aglaia silvestris",
 "TaxonKey is Akebia trifoliata trifoliata",
 "TaxonKey is Alangium meyeri",
 "TaxonKey is Alangium rotundifolium",
 "TaxonKey is Samanea saman",
 "TaxonKey is Alhagi maurorum",
 "TaxonKey is Allantospermum borneense",
 "TaxonKey is Alnus serrulatoides",
 "TaxonKey is Alseodaphnopsis andersonii",
 "TaxonKey is Alseodaphnopsis hainanensis",
 "TaxonKey is Alseodaphne longipes",
 "TaxonKey is Alseodaphne perakensis",
 "TaxonKey is Liquidambar chinensis",
 "TaxonKey is Liquidambar excelsa",
 "TaxonKey is Liquidambar obovata",
 "TaxonKey is Amelanchier sinica",
 "TaxonKey is Amphitecna sessilifolia",
 "TaxonKey is Anacolosa lutea",
 "TaxonKey is Ancistrocladus hamatus",
 "TaxonKey is Ancistrocladus hamatus",
 "TaxonKey is Anemia wrightii",
 "TaxonKey is Aniba excelsa",
 "TaxonKey is Anisopus mannii",
 "TaxonKey is Terminalia leiocarpa",
 "TaxonKey is Anthodiscus pilosus",
 "TaxonKey is Antiaris toxicaria welwitschii",
 "TaxonKey is Antidesma maclurei"
 ]
}

 The dataset includes 93418 records from 1198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038831-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu44eg
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpomya pardalina"
 ]
}

 The dataset includes 26 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038845-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/mdc8ow
title: Réseau Loup - Lynx ONCFS - Lynx 2012 présence Régulière Mailles 10km Réseau Loup-Lynx ONCFS

description: Cartographie de synthèse de la présence détectée du lynx en France métropolitaine par un réseau de correspondants départementaux multipartenaire, formé et piloté par l'ONCFS sur le plan scientifique et technique et géré administrativement au niveau local par les DDT. Ce jeu de donnée ventile la présence de l'espèce en maille européenne 10 km (LAEA) de présence dite occasionnelle vs régulière de l'espèce, sur la base de la récurrence spatiale et la quantité d'indices ou constats d'attaques validés au cours de l'a dernière biennale chevauchante (ex: données recueillies entre le 01/04/2012 et le 31/03/2015 pour l'exercice 2015). Ce jeu de donnée correspond à la présence régulière de l'espèce. Les cartographies correspondant aux mailles européennes peuvent être trouvées sur le site de l'ONCFS http://www.oncfs.gouv.fr/Cartographie-ru4/Le-portail-cartographique-de-donnees-ar291
DOI: 10.17026/ar/jspytj
title: BS Nouryon Neutralisatie unit

description: Dit document is opgesteld in het kader van de aanleg van een neutralisatie unit, calamiteitentank en nieuwe leidingsleuf op het Nouryon-terrein.Op de vigerende archeologische beleidskaart, vastgesteld in 2015, kent het plangebied archeologische beleidswaarde 3 en beleidswaarde 5. Deze beleidswaarden zijn in het tijdelijke omgevingsplan (voorheen bestemmingsplan De Poort van Deventer) vertaald naar de regels (voorheen dubbelbestemming) ‘Waarde – Archeologie – 3’ en ‘Waarde – Archeologie – 5’. Bij de voorgenomen plannen kan gesteld worden dat er in ieder geval meer dan 200 m2 wordt verstoord en dat daarmee de vrijstellingsgrens van beleidswaarde 3, maar niet de onderzoeksgrens wordt overschreden (respectievelijk 200 m2 en 500 m2). De vrijstellingsgrens én de onderzoeksgrens (respectievelijk 10 m2 en 40 m2) van waarde 5 worden allebei
overschreden. Dit houdt dat er een onderzoekspli cht geldt voor de ingrepen in het gebied met waarde 5 en een meldingsplicht geldt voor de ingrepen in waarde 3.
DOI: 10.5281/zenodo.17536189
title: JobTrends Dataset – Online Job Postings Across Platforms

description: This repository contains the JobTrends corpus, a collection of online job postings gathered from multiple platforms, along with cleaned, labeled, and subsetted versions of the data.

The dataset is intended for labor market analysis, NLP on job descriptions, and related research tasks.

Contents

Research paper / primary documentation describing the corpus, collection methodology, and (in detail) the label schema.

- `data/`

- `raw/` – Unprocessed, scraped job postings per source platform.

- `hahu_raw.json`

- `linkedin_raw.json`

- `telegram_raw.json`

- `processed/` – Cleaned and (where applicable) labeled job postings.

- `all_clean_labeled.json` – Combined cleaned + labeled data from all platforms.

- `by_source/` – Cleaned + labeled data split by platform.

- `hahu_clean_labeled.json`

- `linkedin_clean_labeled.json`

- `telegram_clean_labeled.json`

- `category_subsets/` – Filtered subsets for specific categories (e.g., computer science only).

- `cs_only_clean_labeled.json`

- `cs_only_hahu.json`

- `cs_only_linkedin.json`

- `cs_only_telegram.json`

 

File naming conventions

- `*_raw.json` – Raw, unprocessed job postings scraped from a specific source.

- `*_clean_labeled.json` – Cleaned postings with labels (e.g., categories, skills, or other attributes), as defined in the paper.

- `cs_only_*` – Subsets restricted to a particular category (likely computer-science-related jobs).

 

How to use the dataset

1. Exploratory analysis

- Start with `data/processed/all_clean_labeled.json` for a unified view.

- Use `data/processed/by_source` if you need to compare platforms.

2. Category-specific experiments

- Use `data/processed/category_subsets` (e.g., `cs_only_*` files) for focused modeling or analysis.

3. Rebuilding your own preprocessing

- Use `data/raw/*.json` as input and reproduce/modify preprocessing steps, following the methodology described in the PDF.
DOI: 10.5281/zenodo.17629015
title: JobTrends Dataset – Online Job Postings Across Platforms

description: This repository contains the JobTrends corpus, a collection of online job postings gathered from multiple platforms, along with cleaned, labeled, and subsetted versions of the data.

The dataset is intended for labor market analysis, NLP on job descriptions, and related research tasks.

Contents

Research paper / primary documentation describing the corpus, collection methodology, and (in detail) the label schema.

- `data/`

- `raw/` – Unprocessed, scraped job postings per source platform.

- `hahu_raw.json`

- `linkedin_raw.json`

- `telegram_raw.json`

- `processed/` – Cleaned and (where applicable) labeled job postings.

- `all_clean_labeled.json` – Combined cleaned + labeled data from all platforms.

- `by_source/` – Cleaned + labeled data split by platform.

- `hahu_clean_labeled.json`

- `linkedin_clean_labeled.json`

- `telegram_clean_labeled.json`

- `category_subsets/` – Filtered subsets for specific categories (e.g., computer science only).

- `cs_only_clean_labeled.json`

- `cs_only_hahu.json`

- `cs_only_linkedin.json`

- `cs_only_telegram.json`

 

File naming conventions

- `*_raw.json` – Raw, unprocessed job postings scraped from a specific source.

- `*_clean_labeled.json` – Cleaned postings with labels (e.g., categories, skills, or other attributes), as defined in the paper.

- `cs_only_*` – Subsets restricted to a particular category (likely computer-science-related jobs).

 

How to use the dataset

1. Exploratory analysis

- Start with `data/processed/all_clean_labeled.json` for a unified view.

- Use `data/processed/by_source` if you need to compare platforms.

2. Category-specific experiments

- Use `data/processed/category_subsets` (e.g., `cs_only_*` files) for focused modeling or analysis.

3. Rebuilding your own preprocessing

- Use `data/raw/*.json` as input and reproduce/modify preprocessing steps, following the methodology described in the PDF.
DOI: 10.15468/ivuyrn
title: Mammifères de Guyane. Synthèse réalisée pour la Liste rouge. - Ongulés de Guyane. Synthèse réalisée pour la Liste rouge

description: Ce jeu est la synthèse réalisée pour la création des cartes dans le cadre de la Liste rouge.

Les données sont issues de Biotope, Faune Guyane, François Catzeflis, Kwata, l'ONCFS et du Parc amazonien de Guyane. 

Les données ont été validées par un collège d'experts.
DOI: 10.15468/dl.prs8fu
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena morio",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 250 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038846-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15125/bath-01577
title: Data set for "Physical Origin of Temperature‐Induced Activation Energy Switching in Electrically Conductive Cement"

description: This document contains complete research data and supporting information in paper "Physical Origin of Temperature‐Induced Activation Energy Switching in Electrically Conductive Cement" that has been published in the journal of Advanced Science.

The research data contains complete results of thermodynamic modelling, microstructural characterisation, and mathematical deductive process for automation algorithm development. 

The supporting information contains the associated methods and methodologies to produce the research data.

Contents in supporting information include:
SI – 1. Materials and mix design
SI – 2. Fabrication process
SI – 3. Thermal cycle configurations
SI – 4. Electrochemical impedance spectroscopy (EIS)
SI – 5. Variation in moisture content during thermal cycle
SI – 6. Chemical equilibria of simulated pore solution
SI – 7. Thermodynamic modelling
SI – 8. Calculation of electrical parameters
SI – 9. Calculation of activation energies	24
SI – 10. Meyer–Neldel Rule (MNR) validation
SI – 11. Microstructural characterization
SI – 12. Development of electrical conductivity through curing age
SI – 13. Effect of temperature and fibre content on impedance behaviours
SI – 14. Thermally induced alteration in the architecture of conduction pathways
SI – 15. Determination on ionic and electronic conductivity percentages
SI – 16. Solving process of environmental susceptibility χ for automation

Contents in research data include:
1. Complete data of impedance response of all the samples through curing ages
2. Complete data of thermodynamic modelling outputs
description: The data collection method is contained in supporting information.
description: The technical details and requirements are contained in supporting information.
DOI: 10.5281/zenodo.17629451
title: Synteny analysis of pks island genes from the NORM collection

description: Files used in examining synteny between pks island genes in hybrid assemblies from the NORM collection.

Data

Isolation, sequencing, and assembly are described in the following two studies:

[1] Gladstone et al. "Emergence and dissemination of antimicrobial resistance in Escherichia coli causing bloodstream infections in Norway in 2002–17: a nationwide, longitudinal, microbial population genomic study". The Lancet Microbe (2021). doi: 10.1016/S2666-5247(21)00031-8.

[2] Arredondo-Alonso et al. "Plasmid-driven strategies for clone success in Escherichia coli". Nature communications (2025). doi: 10.1038/s41467-025-57940-1.

Sequencing data is available from the European Nucleotide Archive under accession numbers PRJEB45354 and PRJEB57633.

Analysis

Synteny analysis was performed using clinker [3]

[3] Gilchrist, C. L. M. & Chooi, Y.-H. "clinker & clustermap.js: automatic generation of gene cluster comparison figures." Bioinformatics (2021). doi: 10.1093/bioinformatics/btab007.
DOI: 10.5281/zenodo.17629452
title: Synteny analysis of pks island genes from the NORM collection

description: Files used in examining synteny between pks island genes in hybrid assemblies from the NORM collection.

Data

Isolation, sequencing, and assembly are described in the following two studies:

[1] Gladstone et al. "Emergence and dissemination of antimicrobial resistance in Escherichia coli causing bloodstream infections in Norway in 2002–17: a nationwide, longitudinal, microbial population genomic study". The Lancet Microbe (2021). doi: 10.1016/S2666-5247(21)00031-8.

[2] Arredondo-Alonso et al. "Plasmid-driven strategies for clone success in Escherichia coli". Nature communications (2025). doi: 10.1038/s41467-025-57940-1.

Sequencing data is available from the European Nucleotide Archive under accession numbers PRJEB45354 and PRJEB57633.

Analysis

Synteny analysis was performed using clinker [3]

[3] Gilchrist, C. L. M. & Chooi, Y.-H. "clinker & clustermap.js: automatic generation of gene cluster comparison figures." Bioinformatics (2021). doi: 10.1093/bioinformatics/btab007.
DOI: 10.15468/4a38vf
title: Register of protected and endangered fungi of Poland (GREJ)

description: Register of protected and endangered fungi of Poland (GREJ) is an online database that gathers information on the occurrence of mushrooms rarely listed, protected or threatened, and alien in Poland. The database is available on-line at: https://www.grzyby.pl/rejestr-grzybow-chrononych-i-zagrozonych.htm. The regulations of the database are available at: https://www.grzyby.pl/regulamin-GREJ.htm. Most of the records are finds made by non-professional mycologists. The finder, posting a report in GREJ, does so for the good of science and for his own satisfaction; agrees to the use of data in research. The database is strictly moderated. This means that the records pass the approval of the curators. The curators of information in the database and at the same time moderators of the records are: Anna Kujawa, Błażej Gierczyk and Tomasz Ślusarczyk. The database administrator is Marek Snowarski.
Register of protected and endangered fungi of Poland (GREJ) is an online database that gathers information on the occurrence of mushrooms rarely listed, protected or threatened, and alien in Poland. The database is available on-line at: https://www.grzyby.pl/rejestr-grzybow-chrononych-i-zagrozonych.htm. The regulations of the database are available at: https://grzyby.pl/regulamin-GREJ.htm. Most of the records are finds made by non-professional mycologists. The finder, posting a report in GREJ, does so for the good of science and for his own satisfaction; agrees to the use of data in research. The database is strictly moderated. This means that the records pass the approval of the curators. The curators of information in the database and at the same time moderators of the records are: Anna Kujawa, Błażej Gierczyk, and Tomasz Ślusarczyk. The database administrator is Marek Snowarski.
The current version (2022) of the database consists of all records uploaded to GREJ before 14.03.2022, excluding data without registeredBy and atpol information. Taxonomy was aligned to GBIF backbone on 11.07.2022.
DOI: 10.6084/m9.figshare.30636656
title: Supplementary Material for: Impact of Placental Position and Type on Placenta Accreta Spectrum and Adverse Perinatal Outcomes: A Study Based on Magnetic Resonance Imaging

description: Objective: To investigate influence of placental position and type on occurrence of Placenta Accreta Spectrum (PAS) and to analyze their correlation with adverse perinatal outcomes. 
Methods: This retrospective study included 270 pregnant women who delivered at the Affiliated Hospital of Guangdong Medical University and Huizhou Central People’s Hospital between January 2021 and December 2023. Placental position, type, and related imaging features were assessed using Magnetic Resonance Imaging (MRI) and compared with PAS and perinatal outcomes. Logistic regression was used to analyze the associations between placental position, type, and PAS, as well as adverse outcomes. 
Results: There were significant differences between the PAS group and the non-PAS group in terms of pregnancy history, cesarean section history, delivery history, history of placenta previa, antepartum hemorrhage, and intraoperative blood loss. Lateral wall/fundus placenta location (OR=4.984, 95% CI: 1.376–18.050, P=0.014) and complete placenta previa (OR=3.160, 95% CI: 1.321–7.558, P=0.010) were significantly associated with the occurrence of PAS. 
Conclusion: Placental location and the type of placenta previa were significantly associated with the occurrence of PAS and adverse perinatal outcomes. In future clinical management, particular attention should be paid to placental location and type, especially in cases of lateral wall/fundus placenta and severe placenta previa. Individualized monitoring and intervention strategies should be implemented to improve both PAS-related and overall perinatal outcomes.