cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.eqz86e
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.31_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Phasianidae"
 ]
}

 The dataset includes 106 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047633-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17900942
title: Benchmarking 3D Electron Diffraction Strategies for Ceramics

description: The submitted 3D electron diffraction (3D ED) data contains the collected raw data, data reduction inputs and dynamical refinement files of three ceramic compounds: NATP, LATP and almandine. The data was collected with different 3D ED methods (continuous-rotation, precession-assisted or stepwise-static) from 9 different crystals. Experimental details and further descriptions can be found in 10.26434/chemrxiv-2025-4fmbm.
DOI: 10.5281/zenodo.17900943
title: Benchmarking 3D Electron Diffraction Strategies for Ceramics

description: The submitted 3D electron diffraction (3D ED) data contains the collected raw data, data reduction inputs and dynamical refinement files of three ceramic compounds: NATP, LATP and almandine. The data was collected with different 3D ED methods (continuous-rotation, precession-assisted or stepwise-static) from 9 different crystals. Experimental details and further descriptions can be found in 10.26434/chemrxiv-2025-4fmbm.
DOI: 10.5257/imf/bops/2025-11
title: Balance of Payment Statistics (November 2025 Edition)

description: The Balance of Payments Statistics (BOPS) provides a framework that is applicable for a range of economies, from the smallest and least-developed economies to the more advanced and complex economies. As a result, it is recognized that some items may not be relevant in all cases. The balance of payments is a statistical statement that summarizes transactions between residents and non-residents during a period. It consists of the goods and services account, the primary income account, the secondary income account, the capital account, and the financial account. Under the double-entry accounting system that underlies the balance of payments, each transaction is recorded as consisting of two entries and the sum of the credit entries and the sum of the debit entries are the same.
DOI: 10.15468/dl.vqp287
title: Occurrence Download

description: A dataset containing 9969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca"
 ]
}

 The dataset includes 9969 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047635-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbnxrx
title: Occurrence Download

description: A dataset containing 19923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Cernuella virgata"
 ]
}

 The dataset includes 19923 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047636-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uufmuh
title: Occurrence Download

description: A dataset containing 634956 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-41.44124 -8.71901,-40.63934 -9.64462,-39.48461 -8.72359,-38.21075 -9.36969,-36.75817 -9.46592,-35.49347 -8.88397,-34.83362 -9.07642,-34.44413 -7.45889,-35.24545 -7.27903,-36.40935 -7.60896,-37.3447 -7.1702,-38.59966 -7.59979,-39.59917 -7.26185,-40.7264 -7.27101,-41.44124 -8.71901))",
 "Geometry POLYGON((-32.43538 -3.56397,-32.77332 -3.8137,-32.50068 -4.20548,-31.98403 -3.8389,-32.27157 -3.56855,-32.43538 -3.56397))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 634956 records from 697 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047485-251120083545085/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.30862262
title: Cross-National Ethical Concerns Toward AI-Based Well-Being Measurement: A Comparative Study Across Finland, Germany, Japan, and the United States Using the Octagon Framework

description: This study examines public attitudes toward using artificial intelligence to measure human subjective well-being from biometric data, contributing empirical evidence to AI ethics research. Using the eight-dimension “Octagon” ethical framework, we conducted a cross-national survey experiment in Finland, Germany, Japan, and the United States (<i>N</i> = 4,000) across four domains: healthcare, media/entertainment, employment, and governance. A multilingual, scenario-based design with visual aids ensured clarity and comparability, and validated instruments such as the Victorian Segmentation scale were incorporated. Multiple regression analyses revealed consistent cross-country patterns: individuals with lower interest in science and technology and women expressed stronger ethical concerns, particularly regarding safety and security. Scenario acceptability varied contextually, with healthcare applications eliciting the least resistance and governance-related applications the most. Our findings underscore the need for participatory, culturally sensitive, and context-aware approaches to ethical AI design, and contribute a empirical foundation for future research and policy development in AI and well-being.
DOI: 10.6084/m9.figshare.30862262.v1
title: Cross-National Ethical Concerns Toward AI-Based Well-Being Measurement: A Comparative Study Across Finland, Germany, Japan, and the United States Using the Octagon Framework

description: This study examines public attitudes toward using artificial intelligence to measure human subjective well-being from biometric data, contributing empirical evidence to AI ethics research. Using the eight-dimension “Octagon” ethical framework, we conducted a cross-national survey experiment in Finland, Germany, Japan, and the United States (<i>N</i> = 4,000) across four domains: healthcare, media/entertainment, employment, and governance. A multilingual, scenario-based design with visual aids ensured clarity and comparability, and validated instruments such as the Victorian Segmentation scale were incorporated. Multiple regression analyses revealed consistent cross-country patterns: individuals with lower interest in science and technology and women expressed stronger ethical concerns, particularly regarding safety and security. Scenario acceptability varied contextually, with healthcare applications eliciting the least resistance and governance-related applications the most. Our findings underscore the need for participatory, culturally sensitive, and context-aware approaches to ethical AI design, and contribute a empirical foundation for future research and policy development in AI and well-being.
DOI: 10.5281/zenodo.17901358
title: Data for: Stable MXene Dough with Ultrahigh Solid Fraction and Excellent Redispersibility toward Efficient Solution Processing and Industrialization
DOI: 10.5281/zenodo.17901357
title: Data for: Stable MXene Dough with Ultrahigh Solid Fraction and Excellent Redispersibility toward Efficient Solution Processing and Industrialization
DOI: 10.15468/dl.uc5xd8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.168 -0.925817, 102.097728 -0.931383, 102.029185 -0.947945, 101.964059 -0.975094, 101.903953 -1.012163, 101.850345 -1.058239, 101.804557 -1.112188, 101.767715 -1.172681, 101.740727 -1.238231, 101.724258 -1.307222, 101.718713 -1.377957, 101.724231 -1.448695, 101.740677 -1.517692, 101.767647 -1.583251, 101.804477 -1.643756, 101.850261 -1.697718, 101.903872 -1.743806, 101.96399 -1.780887, 102.029135 -1.808045, 102.097702 -1.824613, 102.168 -1.830181, 102.238298 -1.824613, 102.306865 -1.808045, 102.37201 -1.780887, 102.432128 -1.743806, 102.485739 -1.697718, 102.531523 -1.643756, 102.568353 -1.583251, 102.595323 -1.517692, 102.611769 -1.448695, 102.617287 -1.377957, 102.611742 -1.307222, 102.595273 -1.238231, 102.568285 -1.172681, 102.531443 -1.112188, 102.485655 -1.058239, 102.432047 -1.012163, 102.371941 -0.975094, 102.306815 -0.947945, 102.238272 -0.931383, 102.168 -0.925817))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047637-251120083545085/datasets/export for details.
DOI: 10.15468/dl.mwst8n
title: Occurrence Download

description: A dataset containing 4317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlebotomus perfiliewi"
 ]
}

 The dataset includes 4317 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047639-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8fn7g
title: Occurrence Download

description: A dataset containing 3450 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlebotomus sergenti"
 ]
}

 The dataset includes 3450 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047641-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25666/dataubfc-2022-05-03
title: Modeling the aging of battery and fuel cell components in real use
title: Modélisation sur le vieillissement des composantes batteries et pile à combustible en usage réel

description: These models are associated with the project AsDeCoEUR (Analyses De Composants Energétiques en Usage Réel). The project is based on a thesis work aiming at understanding the dynamic behavior, to study the aging and to estimate the health status of the battery and fuel cell energy components in real use.
This approach is based on the analysis of data recorded on these components in the Mobypost project (fleet of 10 hydrogen vehicles). The implementation of skills and numerical analysis tools developed in particular for batteries by the Ampère laboratory and IFSTTAR aims to understand and reproduce the degradation phenomena of the components studied.
These models contribute to the study of ageing and estimate the state of health of batteries and fuel cells in real use.
description: Ces modélisations, sont associées au projet AsDeCoEUR (Analyses De Composants Energétiques en Usage Réel). Le projet souhaite s’appuyer sur une démarche menée autour d’un travail de thèse visant à comprendre le comportement dynamique, d’étudier le vieillissement et d’estimer l’état de santé des composants énergétiques, batterie et pile à combustible en usage réel.
Cette démarche est basée sur l’analyse des données enregistrées sur ces composants dans le projet Mobypost (flotte de 10 véhicules Hydrogènes). La mise en œuvre des compétences et des outils d’analyse numériques développés notamment pour les batteries par le laboratoire Ampère et l’IFSTTAR vise à comprendre et à reproduire les phénomènes de dégradation des composants étudiés.
Ces modèles permettent de contribuer à l’étude du vieillissement et d’estimer l’état de santé en usage réel des batteries et des piles à combustible.
description: Audience: Research
description: UpdatePeriodicity: no update
description: Project: Thèse de doctorat de Loic Vichard, Contrat doctoral - Projet AsDeCoEUR (Region Bourgogne Franche-Comté)
description: Label: PHE (Plateforme Hydrogène-Energie)
description: Simulation or computational data: - Programming language: Matlab language et Python language 

- Platform/OS: Microsoft Windows, Mac OS, Linux,...

- Version: MATLAB R2018a 

- Development status: Active
description: Données computationnelles ou de simulation: - Langage de programmation : Langage Matlab et Python

- Plate-forme/OS : Microsoft Windows, Mac OS, Linux,...

- Version : MATLAB R2018a 

- Statut de développement : Actif
DOI: 10.15468/dl.vea7ge
title: Occurrence Download

description: A dataset containing 21228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-0.458401 54.204695, -0.458886 54.273590, -0.556212 54.273590, -0.555623 54.204695, -0.458401 54.204695))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 21228 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047638-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y544gs
title: Occurrence Download

description: A dataset containing 5347 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlebotomus perniciosus"
 ]
}

 The dataset includes 5347 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047640-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg3446
title: Occurrence Download

description: A dataset containing 694107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Butterfly distribution records for the UK from Butterfly Conservation, up to 2019",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 1989",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 694107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047614-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g456cx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "ProjectId" : [
 "is GRIIS"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047642-251120083545085/datasets/export for details.
DOI: 10.15468/dl.3v7u53
title: Occurrence Download

description: A dataset containing 309896 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ABV - Common breeding birds in Flanders, Belgium"
 ]
}

 The dataset includes 309896 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047620-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnt6g3
title: Occurrence Download

description: A dataset containing 225340508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America, Europe, Oceania, Asia, Antarctica, Africa)",
 "CoordinateUncertaintyInMeters 0.0-30000.0",
 "GbifRegion is Europe and Central Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1970-2024"
 ]
}

 The dataset includes 225340508 records from 6302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047576-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckd8pj
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Hedychium spicatum Sm."
 ]
}

 The dataset includes 267 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001913-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00010291
title: Effects of ezetimibe on clinical outcomes in patient with idiopathic pulmonary fibrosis (IPF)

description: Idiopathic pulmonary fibrosis (IPF) is a serious lung disease that affects about 3 million people worldwide. In IPF, the lungs become scarred over time, making it hard to breathe. This scarring is called "lung fibrosis." Sadly, people with IPF often live only 3-5 years after diagnosis.
Nintedanib can slow the progression of IPF by blocking specific proteins that promote scarring, but it cannot cure the disease. While this medicine helps, we still need better treatments for IPF.
Ezetimibe is a drug that lowers cholesterol in the blood. It works by stopping cholesterol from being absorbed in the gut. Recent studies show ezetimibe might have other benefits too, like helping with heart, kidney, and liver problems.
Our team found that ezetimibe might reduce lung scarring in IPF. We also looked at medical records in South Korea and saw that IPF patients taking ezetimibe seemed to live longer and their lungs worked better for longer. These findings are exciting, but we need more proof that ezetimibe really helps IPF patients.
In this study, we want to see if ezetimibe can help IPF patients when added to nintedanib. We'll look at data from past clinical trials of these drugs. We'll compare how fast the lungs got worse in patients who only took nintedanib to those who also took ezetimibe.
We'll also see if patients who did not take nintedanib can also benefit from taking ezetimibe.
DOI: 10.15468/dl.xrj5td
title: Occurrence Download

description: A dataset containing 2660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scolymus maculatus L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2660 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044181-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5yvfj
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mollugo flavescens Andersson"
 ]
}

 The dataset includes 303 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042726-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xss4n9
title: Occurrence Download

description: A dataset containing 1238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Peganum harmala L."
 ]
}

 The dataset includes 1238 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105106-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xyckht
title: Occurrence Download

description: A dataset containing 8347 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Roadkill"
 ]
}

 The dataset includes 8347 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290921-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qbe6c
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithornithidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014829-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntnmmd
title: Occurrence Download

description: A dataset containing 26889232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Costa Rica, Panama, Nicaragua)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "Year 1960-2023"
 ]
}

 The dataset includes 26889232 records from 1211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105091-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dqmny
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mollugo floriana (B.L.Rob.) J.T.Howell"
 ]
}

 The dataset includes 43 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042728-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbt64a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Baetis thermicus Uéno, 1931",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303097-210914110416597/datasets/export for details.
DOI: 10.15468/dl.m5pbx4
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymus narymensis Serg."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014825-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3uz9c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ditrichophora fusca Miyagi, 1977",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303091-210914110416597/datasets/export for details.
DOI: 10.15468/dl.m2wxhg
title: Occurrence Download

description: A dataset containing 16932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thlypopsis sordida (d'Orbigny & Lafresnaye, 1837)"
 ]
}

 The dataset includes 16932 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014833-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.