cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25666/dataubfc-2024-12-17
title: Parathyroid Gland Detection in Nuclear Medecine
title: Détection des glandes parathyroïde en médecine nucléaire

description: This repository contains different codes of a generative model NM-USNet that is a combination of a Siamese Network and a U-Net model for parathyroid glands detection through automatic image subtraction using 123-I and 99m-Tc images. The combination of the two components is monitored with an optimized loss function that includes reconstruction error (MSE of the U-NET) and similarity computed by the SN, with dynamic weighting adjustment methodology.
description: Ce dépôt contient différents codes d'un modèle génératif NM-USNet qui est une combinaison d'un réseau siamese et d'un modèle U-Net pour la détection des glandes parathyroïdes par soustraction automatique d'images en utilisant des images 123-I et 99m-Tc. La combinaison des deux composants est contrôlée à l'aide d'une fonction de perte optimisée qui inclut l'erreur de reconstruction (MSE du U-NET) et la similarité calculée par le réseau siamese, avec une méthodologie des gradients.
description: Audience: Research
description: UpdatePeriodicity: as needed
description: AdditionnalInformation: Source code designed and implemented during the PhD thesis of Ouassim Boukhennoufa and in collaboration with CHU of Besançon (Professor Hatem Boulahdour (UFC) and Dr. Laurent Comas (CHU)).
description: AdditionnalInformation: Code source conçu et réalisé dans le cadre de la thèse de Ouassim Boukhennoufa et en collaboration avec le CHU de Besançon (Professeur Hatem Boulahdour (UFC).
description: Project: Thèse de doctorat de Ouassim Boukhennoufa, Contrat doctoral Ministère de l'Enseignement Supérieur, de la Recherche (Ministry)
description: Label: EUR EIPHI (Graduate School Engineering, Physics and Sciences for Innovation and Research)
description: Label: Mésocentre(s) UBFC (Mésocentre(s) UBFC)
description: Simulation or computational data: Python code using mainly the tensorflow package. This code aims at using synthetic 123-I and 99m-TC images to train siamese and U-net networks to generate subtracted images and exhibit the parathyroid glands of the studied patient.
description: Données computationnelles ou de simulation: Code Python utilisant entre autre le package tensorflow. Ce code vise à utiliser des images synthétiques type 123-I et 99m-TC pour entraîner les réseaux siamese et U-net, dans le but de générer des images soustraites des glandes parathyroïdes du patient étudié.
DOI: 10.48329/021f-8798
title: CPRD Aurum Ethnicity Record December 2025

description: "The CPRD Ethnicity Record is comprised of a single derived ethnicity category for each patient in CPRD Gold. The CPRD Ethnicity Record draws ethnicity data from the primary care database and, for linkage eligible patients, Hospital Episode Statistics (HES) datasets.

For linkage eligible patients, the following linked data releases were used:

• CPRD Gold Source file November 2024
• CPRD Gold HES APC November 2024
• CPRD Gold HES OP November 2024
• CPRD Gold HES A August 2021
• CPRD Gold HES DID August 2021"
description: Access to anonymised data from CPRD is subject to a full licence agreement containing detailed terms and conditions of use. Anonymised patient datasets can be extracted for researchers against specific study specifications, following protocol approval via CPRD's Research Data Governance Process. Further information is available at https://www.cprd.com/data-access.
description: Please contact enquiries@cprd.com for further information or if you have any questions.
DOI: 10.15468/dl.n25cuu
title: Occurrence Download

description: A dataset containing 26369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Undaria pinnatifida"
 ]
}

 The dataset includes 26369 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047453-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4pt9n
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sideroxylon salicifolium"
 ]
}

 The dataset includes 542 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047455-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25666/dataubfc-2024-07-12
title: Preliminary tests on PEM water electrolysis
title: Tests préliminaires sur un électrolyseur de type PEM

description: The tests described in this data sheet are preliminary tests carried out on a 1 kW PEM electrolyzer.
description: Les essais décrits dans cette fiche sont des tests préliminaires réalisés sur un électrolyseur de type PEM d'une puissance d'1 kW.
description: Audience: Research
description: Project: Amélioration de la durabilité des électrolyseurs d'eau de type PEM par la modélisation de la dégradation multi-échelle, accélérée par l'IA, Agence nationale de la recherche - PRC 2023 - ANR-23-CE05-0002 (French National Agency for Research)
description: Project: Contrôle de l'atténuation de la dégradation des piles à combustible avec l'apprentissage automatique basé sur la physique, Agence nationale de la recherche - ANR-23-ERCB-0004 (French National Agency for Research)
description: Project: Thèse de doctorat de Islam Zerrougui, H2-Durable (Region Bourgogne Franche-Comté)
description: Label: PHE (Plateforme Hydrogène-Energie)
description: Label: Plateforme UBFC (Plateforme UBFC)
description: Experimental data: Test run at 30amps for 8h
Test protocol of the 1kW PEM electrolyzer stack 
Polarization curve from 0 to 2A/cm² of 8,000s
Electrochemical Impedance Spectroscopy (EIS) at 5, 15, 20, 25, 31, 37, 43, 50amps
Repeat the protocol at
1 bar, 60°C
5 bar, 60°C
3 bar, 40, 50, 60°C
description: Données expérimentales: Rodage en 30A pendant 8h.
Protocole d'essai du stack d’électrolyseur PEM 1 kW
Courbe de polarisation de 0 à 2 A/cm² en 8 000 s
Spectre d'Impédance Electrochimique (SIE) à 5, 15, 20, 25, 31, 37, 43, 50 A
Répéter le protocole en
1 bar, 60°C
5 bar, 60°C
3 bar, 40, 50, 60°C
DOI: 10.15468/dl.6p6t82
title: Occurrence Download

description: A dataset containing 563 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudolaccaria pachyphylla"
 ]
}

 The dataset includes 563 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047454-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jsfhm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((113.398 -1.007817, 113.327726 -1.013384, 113.259182 -1.029945, 113.194054 -1.057094, 113.133946 -1.094162, 113.080337 -1.140238, 113.034547 -1.194186, 112.997703 -1.254679, 112.970713 -1.320229, 112.954243 -1.38922, 112.948697 -1.459955, 112.954215 -1.530692, 112.970661 -1.59969, 112.997631 -1.665248, 113.034461 -1.725754, 113.080247 -1.779716, 113.13386 -1.825805, 113.193981 -1.862886, 113.259129 -1.890045, 113.327698 -1.906612, 113.398 -1.912181, 113.468302 -1.906612, 113.536871 -1.890045, 113.602019 -1.862886, 113.66214 -1.825805, 113.715753 -1.779716, 113.761539 -1.725754, 113.798369 -1.665248, 113.825339 -1.59969, 113.841785 -1.530692, 113.847303 -1.459955, 113.841757 -1.38922, 113.825287 -1.320229, 113.798297 -1.254679, 113.761453 -1.194186, 113.715663 -1.140238, 113.662054 -1.094162, 113.601946 -1.057094, 113.536818 -1.029945, 113.468274 -1.013384, 113.398 -1.007817))"},{"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/0047456-251120083545085/datasets/export for details.
DOI: 10.15468/dl.szs43h
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Simarouba amara"
 ]
}

 The dataset includes 24 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047458-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8uezk7
title: FSFN: Forest Soil Fauna Network: Vegetation, Flanders Belgium

description: In the period 1997-1998, the Flemish Forest Service funded a study (B&G/29/98) that initiated a region-wide soil fauna survey by a consortium of three Universities (RuG, KuL and UA; now University of Ghent, KU Leuven and University of Antwerp) and two Research Institutes (IBW and RBINS; now INBO and RBINS). The survey was conducted on 56 well selected forest plots representative for all forest- and soil types in Flanders Region.The goals of the study were (1) to assess the diversity of soil dwelling organisms (soil fauna) across Flanders’ forests; (2) to look for bioindicators for forest soil quality and (3) to explore if a biological forest soil classification system based on soil fauna composition could be designed. Recognizing the critical role of soil organisms in ecosystem functioning (e.g. nutrient cycling), the study sought to establish a link between soil biodiversity and soil condition. Here we publish the vegetation data sampled in this initial project, as a T0. Over time, other organism groups and soil bioindicators were assessed on the same FSFN plots by various studies. However, 25 years later, all plots are getting resurveyed by the studies ‘FOURCAST’ and ‘Biota4C’ following the same sampling schemes and methodologies as in the initial project. Therefore we wish to publish all initial datasets in order to compare them with the recent findings. All published data can be retrieved using collectionCode ‘FSFN’.Issues with the dataset can be reported at https://github.com/inbo/data-publication-fsfn/issuesWe have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.For all published datasets regarding this Forest Soil Fauna Network (FSFN), see https://www.gbif.org/dataset/search?project_id=BNG/15/96 or https://www.gbif.org/occurrence/search?collection_code=FSFN
DOI: 10.15468/dhktzw
title: FSFN: Forest Soil Fauna Network: Nematoda, Flanders Belgium

description: In the period 1997-1998, the Flemish Forest Service funded a study (B&G/29/98) that initiated a region-wide soil fauna survey by a consortium of three Universities (RuG, KuL and UA; now University of Ghent, KU Leuven and University of Antwerp) and two Research Institutes (IBW and RBINS; now INBO and RBINS). The survey was conducted on 56 well selected forest plots representative for all forest- and soil types in Flanders Region.The goals of the study were (1) to assess the diversity of soil dwelling organisms (soil fauna) across Flanders’ forests; (2) to look for bioindicators for forest soil quality and (3) to explore if a biological forest soil classification system based on soil fauna composition could be designed. Recognizing the critical role of soil organisms in ecosystem functioning (e.g. nutrient cycling), the study sought to establish a link between soil biodiversity and soil condition. Here we publish the Nematoda data sampled in this initial project, as a T0. Over time, other organism groups and soil bioindicators were assessed on the same FSFN plots by various studies. However, 25 years later, all plots are getting resurveyed by the studies ‘FOURCAST’ and ‘Biota4C’ following the same sampling schemes and methodologies as in the initial project. Therefore we wish to publish all initial datasets in order to compare them with the recent findings. All published data can be retrieved using collectionCode ‘FSFN’.Issues with the dataset can be reported at https://github.com/inbo/data-publication-fsfn/issuesWe have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.For all published datasets regarding this Forest Soil Fauna Network (FSFN), see https://www.gbif.org/dataset/search?project_id=BNG/15/96 or https://www.gbif.org/occurrence/search?collection_code=FSFN
DOI: 10.15468/dl.pfnt8v
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Populus alba",
 "Year 1970-2023"
 ]
}

 The dataset includes 71 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047459-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.19606.20804
title: Mitochondrial ND5 genetic variation of Aedes vexans in the United States supplemental table
DOI: 10.17026/ar/xrz4in
title: PAN-00158876 - smooth ware jug type St. 109

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00158876&lt;/p&gt;
description: Modified: 2025-11-11T11:36:54+01:00
DOI: 10.17909/pj9v-7t21
title: TESS Quick-Look and Lightcurve Analysis (TEQUILA)

description: The TEQUILA (TESS Quick-Look and Lightcurve Analysis) project provides a comprehensive catalog of variable point sources extracted from the Transiting Exoplanet Survey Satellite (TESS) Full-Frame Images (FFIs) spanning Sectors 1–26 of the prime mission. Using a Difference Image Analysis (DIA) pipeline, TEQUILA delivers over six million differential photometry lightcurves that capture a wide range of astrophysical variability — including stellar variables, transient events, and solar system objects. Each lightcurve is provided in FITS format with metadata describing data quality, blending, systematic classification, and SSO contamination flags. The catalog serves as both a discovery resource and a foundation for statistical time-domain studies using TESS data.
DOI: 10.25666/dataubfc-2024-08-27-02
title: Aspergillus fumigatus in cereal crops
title: Aspergillus fumigatus en cultures céréalières

description: Triazole fungicides are widely used to treat fungal pathogens in field crops, but very few studies have investigated whether fields of these crops constitute hotspots of azole resistance in Aspergillus fumigatus. Soil samples were collected from 22 fields in two regions of eastern France and screened for triazole residues and azole-resistant A. fumigatus. Real-time quantitative PCR (qPCR) was used to quantify A. fumigatus in these soil samples. All the plots contained tebuconazole at concentrations from 5.5 to 19.1 ng/g of soil, and 5 of the 22 plots also contained epoxiconazole. Only a few fungal isolates were obtained, and no ARAf was detected. Thus, field-crop soils do not appear to promote A. fumigatus development, even if treated with azole fungicides, and cannot be considered hotspots of resistance.
description: Les fongicides triazolés sont largement utilisés pour traiter les champignons pathogènes dans les cultures céréalières, mais très peu d'études visent à démontrer si ce type de grande culture peut constituer un hotspot de résistance aux azolés chez Aspergillus fumigatus. Des échantillons de sol ont été prélevés dans 22 champs de deux régions de l'est de la France sur lesquels les concentrations en triazolés ont été mesurées et le résistance à A. fumigatus évaluée.Seuls quelques isolats fongiques ont été obtenus et aucun A. fumigatus résistant n'a été détecté. Ainsi, les sols des grandes cultures ne semblent pas favoriser le développement d'A. fumigatus, même lorsqu'ils sont traités avec des fongicides azolés, et ne peuvent pas être considérés comme des hotspot de résistance.
description: Audience: Research
description: UpdatePeriodicity: as needed
description: Project: Caractérisation chimique et physique de sols agricoles traités par des fongicides triazolés, SRO OSU THETA 2020 (OSU)
description: Project: Thèse de doctorat de Chloé Godeau, Contrat doctoral Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (MESRI) (Ministry)
description: Project: Fongicides agricoles dans les agrosystèmes : émergence de résistance aux traitements chez une moisissure pathogène pour l'Homme, RECOTOX 2020 (Another national)
description: Label: PEA²t (Plateforme technologique d'étude des Environnements Anciens et Actuels)
description: Label: ZAAJ (Zone Atelier Arc Jurassien)
description: Label: ZAM (Zone Atelier Moselle)
description: Observational data: Fungal strains isolated from environmental samples.
Measurement of soil characteristics.
Determination of fungicides in soils.
Trace metals in soils.
More details : doi:10.3390/jof9060618
description: Données d'observation: Souches fongiques isolées de prélèvements environnementaux.
Mesures de caractéristiques des sols.
Dosages de fongicides dans les sols.
Dosages d'éléments traces métalliques dans les sols.
Plus de détails : doi:10.3390/jof9060618
DOI: 10.15468/dl.asbudm
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Simira salvadorensis"
 ]
}

 The dataset includes 234 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047460-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/3edtqp
title: FSFN: Forest Soil Fauna Network: Isopoda, Flanders Belgium

description: In the period 1997-1998, the Flemish Forest Service funded a study (B&G/29/98) that initiated a region-wide soil fauna survey by a consortium of three Universities (RuG, KuL and UA; now University of Ghent, KU Leuven and University of Antwerp) and two Research Institutes (IBW and RBINS; now INBO and RBINS ) . The survey was conducted on 56 well selected forest plots representative for all forest- and soil types in Flanders Region.The goals of the study were (1) to assess the diversity of soil dwelling organisms (soil fauna) across Flanders’ forests; (2) to look for bioindicators for forest soil quality and (3) to explore if a biological forest soil classification system based on soil fauna composition could be designed. Recognizing the critical role of soil organisms in ecosystem functioning (e.g. nutrient cycling), the study sought to establish a link between soil biodiversity and soil condition. Here we publish the Isopoda data sampled in this initial project, as a T0. Over time, other organism groups and soil bioindicators were assessed on the same FSFN plots by various studies. However, 25 years later, all plots are getting resurveyed by the studies ‘FOURCAST’ and ‘Biota4C’ following the same sampling schemes and methodologies as in the initial project. Therefore we wish to publish all initial datasets in order to compare them with the recent findings. All published data can be retrieved using collectionCode ‘FSFN’.Issues with the dataset can be reported at https://github.com/inbo/data-publication-fsfn/issuesWe have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.For all published datasets regarding this Forest Soil Fauna Network (FSFN), see https://www.gbif.org/dataset/search?project_id=BNG/15/96 or https://www.gbif.org/occurrence/search?collection_code=FSFN
DOI: 10.15468/dl.awp78s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.233 -0.998817, 110.162726 -1.004384, 110.094182 -1.020945, 110.029054 -1.048094, 109.968947 -1.085162, 109.915338 -1.131238, 109.869548 -1.185186, 109.832704 -1.24568, 109.805715 -1.311229, 109.789244 -1.38022, 109.783699 -1.450955, 109.789217 -1.521692, 109.805663 -1.59069, 109.832632 -1.656249, 109.869463 -1.716754, 109.915249 -1.770716, 109.968862 -1.816805, 110.028982 -1.853886, 110.09413 -1.881045, 110.162699 -1.897613, 110.233 -1.903181, 110.303301 -1.897613, 110.37187 -1.881045, 110.437018 -1.853886, 110.497138 -1.816805, 110.550751 -1.770716, 110.596537 -1.716754, 110.633368 -1.656249, 110.660337 -1.59069, 110.676783 -1.521692, 110.682301 -1.450955, 110.676756 -1.38022, 110.660285 -1.311229, 110.633296 -1.24568, 110.596452 -1.185186, 110.550662 -1.131238, 110.497053 -1.085162, 110.436946 -1.048094, 110.371818 -1.020945, 110.303274 -1.004384, 110.233 -0.998817))"},{"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/0047461-251120083545085/datasets/export for details.
DOI: 10.15468/dl.rrkypr
title: Occurrence Download

description: A dataset containing 2557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.52132 45.01451,11.25046 45.01451,11.25046 47.82511,5.52132 47.82511,5.52132 45.01451))",
 "HasGeospatialIssue is false",
 "Month is September",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2024-2025"
 ]
}

 The dataset includes 2557 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047463-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.