cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/q9l6zh
title: A specifically designed synbiotic reduces uremic toxin generation and improves kidney function

description: Metagenomic data of the intestinal microbiota were collected from mice with and without kidney disease, with or without synbiotic treatment. Chronic Kidney Disease (CKD) is characterized by accumulation of uremic toxins (UTs), such as p-cresyl sulfate and indoxyl sulfate, generated through the transformation of tyrosine and tryptophan by the gut microbiota. We further designed a novel specific synbiotic for CKD (SynCKD) that are able to decrease UTs in silico and in vitro. We tested a specific synbiotic (SynCKD) in a male mouse model of CKD induced by two-step 5/6 nephrectomy at 6 weeks of age. The mice were treated with either a placebo or the synbiotic for 6 weeks. Fecal samples were collected at the end of the treatment period for analysis. The in vivo efficacy of SynCKD was demonstrated by reduced plasma levels of uremic toxins (UTs) and improved kidney function after 6 tweeks of treatment. Finally, metagenomic analyses showed that SynCKD resulted in a lower abundance of microbial genes involved in tryptophan and tyrosine degradation.
DOI: 10.57745/qgtfur
title: MassiveFold data for target H1222 - T266

description: MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from https://predictioncenter.org/) - `CAPRI_assessment.csv` file contains the CAPRI assessment for the target (from https://www.capri-docking.org/assessment/) - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
DOI: 10.57745/qq36ma
title: Data from the publication Dolata et al. 2023, J Virol.

description: This dataset comprises the results of affinity tag purification-mass spectrometry (AP-MS) experiments performed on CP204L protein pulldowns and proteome profiling of VPS39 gene knockout cells. The data provides a comprehensive list of identified proteins obtained from these experiments.
DOI: 10.57745/r4joum
title: Plan de gestion de données structure Planet

description: Ce dataset contient le Plan de Gestion de Données structure de la plateforme Planet.
DOI: 10.57745/qh5jqh
title: Supplementary materials and survey data from: Identification and spatial extent of understory plant species requiring vegetation control to ensure tree regeneration in French forests

description: Data of a survey of forest managers collected between june and september 2019 in France. The objective of this survey was to assess the frequency at which forest managers control various understory species during tree regeneration stage.
DOI: 10.57745/r5g8cv
title: Replication data for : Bead manufacturing using the WLAM additive manufacturing process with Coaxwork head and IN718 1.2mm wire

description: The data set consists of the manufacturing parameters used to produce IN718 beads with a coaxial head and the point clouds obtained from non-contact geometric measurements of the beads using a focus variation microscope IF-SensorR25 from Alicona™.
DOI: 10.57745/rk5pm3
title: Light microscopy dataset for investigating the drought-stress response and recovery in young and early senescent-old leaves from Brassica napus

description: Microscopy image dataset consisting of 36 scans of 1 to 5 cross sections of Brassica napus leaves (very young, young and old leaves) from plants grown under different soil conditions (well-watered, medium drought, high drought, severe drought and rewatered). Microscopy images were acquired from paraffin-embedded leaf disc samples using a scanner with a x40 lens (Pannoramic Confocal, 3DHistech), allowing a very large field of view (8mm-long observed leaf tissue). These images and data will contribute to improving our knowledge of plant responses to abiotic stresses, specifically under various hydration levels. This dataset provides insights into the mesophyll structural changes occurring in the response of oilseed rape to soil drought, which can support the development of drought-tolerant cultivars.
DOI: 10.57745/ssa1vm
title: Inventaire des Observatoires des systèmes alimentaires territorialisés en France

description: Cette base de données a été réalisée entre septembre 2023 et mai 2024 dans le cadre du projet PLAT4TERFOOD du PEPR Systèmes Alimentaires, Microbiotes et Santé financé par l'Agence Nationale de la Recherche dans le contexte du plan de relance France 2030. Elle recense les observatoires des systèmes alimentaires territorialisés en France, c'est-à-dire les observatoires qui ont pour objet l'alimentation considérée comme locale, saine ou durable. Les observatoires sont ici définis comme des dispositifs sociotechniques dédiés à la collecte, au traitement et au diffusion de l'information. Leur émergence traduit un besoin de compréhension d'un phénomène par une communauté d'acteurs, généralement rassemblés autour d'un but commun. Le sujet des observatoires, les systèmes alimentaires territorialisés, sont ici définis comme ce qui se rapporte à l'alimentation ou l'agriculture considérée comme locale, saine, ou durable. Les observatoires répertoriés dans la base de données sont ceux dont le périmètre s'étend en France. Le jeu de données comporte trois tables liées : les observatoires, les jeux de données utilisés par les observatoires et les acteurs qui leur sont associés. La table des observatoires comporte entre autres des informations sur les acteurs liés (gestionnaires et partenaires), les jeux de données qu'ils utilisent, leurs productions, leurs objectifs, leurs cibles, leur périmètre géographique, leur licence, leur fréquence de mise à jour, leur dernière mise à jour, leur année de création, leur accessibilité financière et en ligne. La table des jeux de données comporte entre autres des informations sur les acteurs liés (gestionnaires et partenaires), les observatoires qui les utilisent, leurs catégories d'information (professionnel, produits, etc.), leur type de professionnel (producteur, distributeur, etc.), leur échelle administrative (Région, IRIS, etc.), leur type de production (animale, végétale), leur périmètre géographique, leur licence, leur caractère participatif, leur fréquence de mise à jour, leur dernière mise à jour, leur année de création, leur accessibilité en ligne. La table des acteurs comporte entre autres des informations sur leur type d'organisme (entreprise, service public, association, etc.), leur localisation, leur périmètre géographique, les observatoires qu'ils gèrent ou dont ils sont partenaires ou les jeux de données qu'ils produisent. Les données comportent : - Un fichier pour la table Observatoires (au format .xlsx ou .csv) ; - Un fichier pour la table Jeux de données (au format .xlsx ou .csv) ; - Un fichier pour la table Acteurs (au format .xlsx ou .csv) ; - Un fichier de métadonnées décrivant les différentes colonnes et la signification des entrées (au format .xlsx).
DOI: 10.57745/pxm3o3
title: Données de réplication pour : Individual growth and stable-isotope analyses of archived fish scales reveal major changes in the North Atlantic ecosystem

description: Datasets and R scripts used to produce the study entitled "Individual growth and stable-isotope analyses of archived fish scales reveal major changes in the North Atlantic ecosystem"
DOI: 10.57745/r18ngl
title: Biological invasion of the Japanese beetle in Continental Europe at a glance

description: Data from the Japanese beetle (Popillia japonica) infestation in Continental Europe, combined with geographical information, are processed to provide an interactive map of the invasion. The BIG_V4.zip file contains all information (script and data) necessary to generate the different types of maps describing the Japanese beetle invasion. A visualisation is immediately available at the following web address: https://www.popillia.eu/blog/interactive-map-of-the-japanese-beetle-s-invasion-in-continental-europe-2015-2024
DOI: 10.57745/rgbmnp
title: Dataset for "Elastic, strong and tough ionically conductive elastomers"

description: This dataset provides comprehensive experimental data on elastic, strong, and tough ionically conductive elastomers, designed for advanced applications in flexible electronics, wearable sensors, soft robotics, and stretchable batteries. The dataset includes raw and processed measurements of mechanical properties (e.g., stress-strain curves, Young’s modulus), ionic conductivity under varying temperatures and humidity conditions, and long-term environmental stability. Data were collected using Instron universal testing machines and electrochemical impedance spectroscopy under controlled laboratory conditions. Supplementary information accompanying the dataset further supports reproducibility. This dataset is intended to facilitate replication, comparative analysis, and innovation in the development of high-performance elastomers.
DOI: 10.57745/spb5gu
title: Operator assembly quasi-static posture dataset

description: The provided dataset is based on the joint angle amplitude results of operators' quasi-static assembly postures. This file contains data from 12 subjects performing three postures five times in two different scenarios (either a real workstation or an immersive workstation) during an assembly experiment, with the mean amplitude of eight joint angles recorded. The Excel file contains a single sheet, detailed as follows: (1) The two groups of subjects started the experiment either from the real workstation or the immersive workstation, distinguished by different colors. Subjects marked in green indicate those who started the experiment from the immersive workstation, while those without color markings started from the real workstation. (2) The provided file includes information on the subjects' height (cm), subject ID, gender (F/M), profession (Technician/Teacher/Young Engineer), experimental scenario (VR/Real), scenario number, and the mean amplitude of each joint for five repetitions of each posture. (3) The three postures in the assembly experiment include: Posture 1: Pick the first plate from the toolbox. Posture 2: Place the assembled product in the toolbox. Posture 3: Use the screwdriver to tighten the screws. (4) The eight joint angles considered in the file include: Right arm flexion, Left arm flexion, Right arm abduction, Left arm abduction, Right lower arm, Left lower arm, Neck, and Hips.
DOI: 10.57745/qplp1u
title: Spectroscopic data associated with the article "Exploring the photoswitching pathways and efficiency of NO isomerization in ethylenediamine ruthenium nitrosyl complexes"

description: The spectroscopic (UV-Vis and infrared) and calorimetric (DSC) data allow for the investigation of the mechanism of photoisomerization of the nitrosyl ligand in ruthenium ethylenediamine nitrosyl complexes.
DOI: 10.57745/rjprey
title: RPG complété 2021 Région Centre - Val de Loire

description: RPG complété 2021. Complète le RPG campagne 2021 pour les départements de la région Centre-Val de Loire (18, 28, 36, 37, 41, 45). (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2023.
DOI: 10.57745/o7vglu
title: RPG complété 2021 Région Provence-Alpes-Côte d'Azur

description: RPG complété 2021. Complète le RPG campagne 2021 pour les départements de la région Provence-Alpes-Côte d'Azur (04, 05, 06, 13, 83, 84). (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2023.
DOI: 10.57745/qarrfs
title: Dendrometric data of silvicultural scenarios from the French National Forests Office’s (ONF)

description: Silvicultural scenarios used at the French National Forests Office were built using growth and yield model simulations. This database gather common dendrometric data from those simulations at the stand scale, and assessments of carbon storage in compliance with the requirements of French Label Bas Carbone offset projects.
DOI: 10.57745/squojz
title: Data associated to the data paper "Eighteen years of upland grassland carbon flux data: reference datasets, processing, and gap-filling procedure".

description: 18-year datasets of climate variables and greenhouse gas (GES) fluxes from an EC tower located in an upland permanent grassland site in the French Massif Central region. The high-frequency raw-data from EC system were processed using EddyPro Software and post-processing using the R packages FReddyPro and REddyProc. The time series was completed by using two imputation techniques: marginal distribution sampling (MDS) for half-hour data and random forest algorithm (RF) for daily data.
DOI: 10.57745/ssbpdp
title: Replication data for : Characterization of IN718 thin walls produced by LMP-DED additive manufacturing process

description: The data set consists of the manufacturing parameters used to produce IN718 thin walls in LMP-DED with a BeAM™ Mobile machine equipped with a type 10Vx nozzle, the point clouds obtained from non-contact geometric measurements of the walls using a focus variation microscope IF-SensorR25 from Alicona™, and the electron back-scatter diffraction (EBSD) analysis made with a FEI Quanta 600 FEG-ESEM Scanning Electron Microscope..
DOI: 10.57745/ssqkmd
title: RPG complété 2022 Région Corse

description: RPG complété 2022. Complète le RPG campagne 2022 pour les départements de la région Corse (2A, 2B). (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2024.
DOI: 10.57745/rdhlvm
title: Métadonnées ITK

description: Métadonnées des exports de fichiers d'itinéraires techniques générés par l'outil AGROSYST.
DOI: 10.57745/rfbuar
title: MassiveFold data for target H1245 - T296

description: MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from https://predictioncenter.org/) - `CAPRI_assessment.csv` file contains the CAPRI assessment for the target (from https://www.capri-docking.org/assessment/) - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
DOI: 10.57745/rhpwef
title: Data and source code for the manuscript "Thresholds of functional trait diversity driven by land use intensification"

description: Datasets and source code related to the results presented in the manuscript "Thresholds of functional trait diversity driven by land use intensification"
DOI: 10.57745/sffzsn
title: BIODIVERSITY, CLIMATE, MANAGEMENT AND TOPO-EDAPHIC CONTEXT OF 100 GRASSLANDS IN MASSIF CENTRAL FROM PRAIRIES AOP, AEOLE AND ATOUS PROJECTS

description: This dataset of 100 grasslands in Massif central displays different caracteristics of these ecosystems regarding topo-edaphic context, climate, species richness, and management practices. A variable named "multifunctionality" was also calculated, as the average of centered and scaled values of six ecosystem services: biomass productivity, fodder quality, carbon stock in the soil, pollination, stability, and local rarity. This survey across Massif central took place during three sampling campaigns: 2008 & 2009 for Prairies AOP project, 2014 & 2015 for ATOUS project and 2016-2017 for AEOLE project. A total number of 143 grasslands were sampled and led to the "Typlogie des prairies du Massif Central" or "Typlogy of the grasslands of Massif Central". The present dataset shows a subsample of the original database that was completed by climatic data from SAFRAN database, as well as topographic data from Copernicus dataset. It was used to study the complex relationships between management, species richness, climate and multifunctionality in an article currently in revision. All variables of the present dataset, except for the year corresponding to the sampling campaign, were centered and scaled. To respect anonymity of the farmers who participated to the survey, longitude and latitude of the fields are absent from the dataset.
DOI: 10.57745/pdsmoj
title: MassiveFold data for target T1271 (subunits)

description: MassiveFold data generated for CASP16, in collaboration with CAPRI . Predictions were only generated for the subunits. 2680 predictions were generated for each subunit = 335 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from https://predictioncenter.org/)
DOI: 10.57745/pgvx5l
title: RPG complété 2022 Région Occitanie

description: RPG complété 2022. Complète le RPG campagne 2022 pour les départements de la région Occitanie (09, 11, 12, 30, 31, 32, 34, 46, 48, 65, 66, 81, 82). (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2024
DOI: 10.57745/r6amn3
title: Visible - Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight

description: This dataset consists of three groups of hyperspectral images of apple tree plants. The first group of images consists of a temporal monitoring of seven apple tree plants, infected with fire blight (Erwinia amylovora), and six control plants over a period of 15 days. The second group of images includes a temporal monitoring of three infected plants, seven plants subjected to water stress, and six control plants. The third group of images corresponds to acquisitions made in the orchard on eight trees showing symptoms of fire blight and six control trees. The positions of the infected pixels were provided for all the images of the infected plants.
DOI: 10.57745/rjx9xh
title: Replication Data for: WHOIS Right? An Analisis of WHOIS and RDAP Consistency

description: This data was collected during the research work that led to the publication of the article "WHOIS Right? An Analysis of WHOIS and RDAP Consistency", published at Passive and Active Measurements 2024. To compare the consistency of registration data accross the WHOIS and RDAP data sources, we selected a random subset of 55M domain names that had both WHOIS and RDAP entries, we collected and parsed their multiple entries. This dataset contains the collected parsed data of this study: 156M parsed WHOIS and RDAP entries, across 55M domains.
DOI: 10.57745/sa0ixw
title: LCA_data_Belgium_CS_Small_scale_baseline

description: This dataset contains the data related to the LCA of the baseline scenario for the Belgium CS of FAIRCHAIN project: - Raw data; - LCI; - LCIA; - Possible extra data (sensitivity analysis, etc.). These data are used to produce LCA results described in Deliverable D5.2 of FAIRCHAIN.
DOI: 10.57745/saanoa
title: French Crop Usage Ontology

description: This ontology specialized the skos model to create a new class Crop subclass of skos:Concept. fcuo:Crop is a defined class. Thus a reasoner like Hermit should be used to classify all the instances of skos:Concept that belongs to the scheme fcuo:thesaurus_FrenchCropUsage as an instance of Crop. Thus the ontology or the thesaurus could evolved independly. The reasonner will rebuild the links between the class fcuo:Crop and the elements of FCU thesaurus. The FCUO contains also the object property fcuo:relatedCrop which should be used to link anything to a skos:Concept individual of FCU.
DOI: 10.57745/shddtw
title: Etude xKy: Données issues de compteurs linky avec échantillonnage inférieur à la minute

description: Jeu de données issue de l'étude xKy. Le projet xky a deux objectifs principaux. Le premier est de fournir des passerelles se branchant sur les compteurs Linky afin de permettre aux personnes désireuses de comprendre et de réduire leur dépense énergétique de pouvoir suivre en temps réel leur consommation électrique. Le second est de pouvoir permettre de développer un lien entre les citoyens et le monde de la recherche au travers d'une expérience de science participative dans le domaine des énergies électriques grâce à la transparence de ses passerelles dont les plans et codes sont mis à disposition en OpenSource sous licence CC-BY-NC-ND. Si vous trouvez ce jeu de données utile ou vous avez des questions, n'hésitez pas à écrire dans le topic sur le forum OTE. Le jeu de données contient actuellement les données de: Une partie individualisée qui couvre la période d'octobre 2023 à Mars 2024 avec - Les données données socio-techniques des 255 participants à l'étude - Les données brutes individuelles anonymisées issues des linky de 153 participants à l'étude (Indexs, Puissance apparente, Tarification en cours, ...) avec pas d'échantillonnage inférieurs à la minute - Les données recalculées à partir des données brutes 153 participants à l'étude (Consommation journalière, Facteur de puissance, Puissance active, ...) avec pas d'échantillonnage inférieurs à la minute - Les données météo attachées au particpant sont issues du site https://open-meteo.com/ et sont à l'échelle départementale. Une partie Globale qui couvre la période d'octobre 2023 à Mars 2024 avec: - Consommation jour moyenne des participants de l'étude ainsi que par type de contrat - Puissance apparente moyenne des participants de l'étude ainsi que par type de contrat - Puissance active moyenne des participants de l'étude ainsi que par type de contrat - Facteur de puissance moyenne des participants de l'étude ainsi que par type de contrat Vous pouvez retrouver en temps réel ces données sur le site https://ote.univ-grenoble-alpes.fr/temps-reel-xky/