cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/ie8rpf
title: DATABASE-FLMEC : a CFD database on unsteady and turbulent flows

description: This database contains several sets of results obtained from numerical simulations of 2D and 3D incompressible flows. They were carried out at LISN (Laboratoire Interdisciplinaire des Sciences du Numérique), in various geometric configurations such as channel or buff-body flows. This base provides different types of data sets characterising unsteady or turbulent flows computed from Direct Numerical Simulation (DNS) or Large-Eddy Simulation (LES) approaches. For example, can be found data in the form of snapshot field series, statistical fields, time series, etc. The level of detail is fine enough to obtain (or construct) an accurate representation of main flow features. The size of data sets for 3D configurations can be huge (several TB). Smaller data sets resulting from “3D light” or 2D configurations are also available. Full details of the flow configurations and data description are provided here : https://datasetmeca.lisn.upsaclay.fr .
DOI: 10.57745/iilozt
title: ExpérimentationHetre_Pépinière_Nancy-2014_2017

description: The dataset compared the impact of three experimental treatment (soil water deficit, defoliation and control) on budburst, leafing and leaf senescence of 1000 Fagus sylvatica saplings between 2014 and 2016. All trees were under a roof to totally exclude rain and one third were irrigated, one third were irrigated and defoliated once a year (75% in June 2014 and June 2015 and 90% in May 2016). The phenology was also followed in 2017 when all trees were irrigated.
DOI: 10.57745/isgttk
title: PARASOL_PROJECT_INRAE_THEIX

description: The dataset includes the data relative to one experiment conducted within the French "Parasol" project and performed at INRAE (Clermont-Auvergne-Rhône-Alpes Center) between 2016 and 2018.
DOI: 10.57745/ish13c
title: Volatile organic compounds

description: GC-MS data
DOI: 10.57745/fhvkvw
title: MassiveFold data for target T1272 (subunits)

description: MassiveFold data generated for CASP16, in collaboration with CAPRI . Predictions were only generated for the subunits. 8040 predictions were generated for each subunit = 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/)
DOI: 10.57745/gzqcoy
title: XSens Expressive Motion (XEM) dataset

description: The XSens Expressive Motion (XEM) dataset is a dataset for detecting basic emotions from body movements while performing a set of predefined actions. For more explanations on the date structure and the associated MATLAB tools, please see https://doi.org/10.48545/xem-dataset
DOI: 10.57745/iakaks
title: Breedwheat - WP2 Extended Elite Panel

description: « panel élite » (WP2 extended) , phénotype and génotype data
DOI: 10.57745/ihwhdi
title: Projet Incyvie - Amélioration de la base de données AGRIBALYSE®

description: Le projet INCYVIE a pour objectif d’enrichir et de consolider les Inventaires de Cycle de Vie (ICV) de produits agricoles, agro-alimentaires ou alimentaires présents dans la base de données AGRIBALYSE®.
DOI: 10.57745/jk5wcd
title: RMQS1 16S microbial habitat

description: RMQS: The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2,240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The first sampling campaign in metropolitan France took place from 2000 to 2009. Dataset: This dataset contains 16S (Archaea and Bacteria) microbial habitats of 1,798 sites of the RMQS. Soil 16S rDNA gene was sequenced using pyrosequecing (GS FLX Titanium - Roche 454) at Genosocope. Bioinformatics analysis was performed using BIOCOM-PIPE metabarcoding pipeline. OTUs were clustered at 95% using a post-clustering strategy Terrat et.al. (2019) across the whole dataset, producing 188,030 robust OTUs. Habitats were identified by fitting a multivariate regression tree (MRT) with the OTU matrix (10.57745/ZZWKGQ) as response matrix and the set of environmental descriptors (10.15454/QSXKGA) as explanatory variables (land-use type, climatic factors, soil texture, pH, soil chemistry, elevation). Sixteen habitats were identified. See associated articles for details. Figure 2 from Karimi et.al. 2020 File structure: rmqs1_16S_habitats.tsv: two columns file with id_site linked to its habitat rmqs1_16S_habitats.metadata.tsv: three columns file with habitat code, habitat name and habitat pH-based complex Details: Some sites sample could not be collected, they do not appear in dataset. Some sites did not pass laboratory or bioinformatics steps to attain 10,000 sequences before post-clustering, so they did not appear in the dataset. Supplementary filtering was applied (removing OTU with a total abundance of one, also called single-singleton) and some samples were removed from the initial 1,842 available. One can link this dataset with 10.15454/QSXKGA to get each sample physico-chemical property, landuse, coordinates, or filtering sites using its site_officiel column. Sites with ID longer than 4 number are supplementary sites that are not in the center of the cells (e.g. 10797 and 20797 that came from cell 797).
DOI: 10.57745/hrbvnr
title: Supplementary tables for chapter 2 of manuscript: "Carrot populations in France and Spain host a complex virome rich in previously uncharacterized viruses"

description: Supplementary data of Chapter 2 of manuscript titled: "Carrot populations in France and Spain host a complex virome rich in previously uncharacterized viruses" Table S1: information on sampled carrot populations in France and Spain Table S2: RT-PCR and RACE primer pairs targenting known and novel viruses in the carrot virome Table S3: Umbravirus RdRp gene and complete genome pairwise nucleotide identities Table S4: Solemoviridae RdRp pairwise amino acid identities Table S5: Geographical distribution of the various viruses identified in the carrot virome Table S6: Betaflexiviridae RdRp pairwise amino acid identities Table S7: Closteroviridae RdRp, CP and HSP70h pairwise amino acid identities Table S8: Endornaviridae complete genome pairwise nucleotide identities and RdRp pairwise amino acid identities Table S9: Spinareoviridae RdRp pairwise amino acid identities Table S10: Partitiviriade RdRp and CP pairwise amino acid identities Table S11: Amalgaviridae RdRp fusion protein pairwise amino acid identities Table S12: Totiviridae RdRp and CP genes pairwise amino acid identities Table S13: Benyviridae RdRp gene pairwise amino acid identities
DOI: 10.57745/ivj7zg
title: Suivi sur 11 ans des croissances des veaux d'une race bovine allaitante de race locale dans une ferme expérimentale INRAE ; Gain moyen quotidien (GMQ) et poids théorique à 150, 180, 210 et 240 jours. Période 2009/2022.

description: Le jeu de données présenté a été produit par la ferme expérimentale INRAE de Saint-Laurent-de-la-Prée dans le cadre de l’expérimentation système Transi’marsh. L’objectif de cette expérimentation est de tester et de mettre en œuvre la transition agroécologique de son système de polyculture élevage. La ferme est localisée dans les marais du littoral atlantique en Charente maritime (17). Elle occupe 160 ha dont 100 ha de prairies naturelles de marais et 60 ha de terres labourables drainées. La ferme possède un troupeau de bovins allaitants de race locale Maraîchine, constitué de 110 animaux au minimum (année 2022) à 158 au maximum (année 2016), conduit en race pure. La gestion du troupeau est extensive. La reproduction est effectuée en monte naturelle en deux périodes de vêlage : printemps et automne. Les adultes et les génisses sont alimentés à partir des aliments produits sur la ferme : foin de prairies, enrubannage de méteil et grains de méteil. Les veaux sont nourris avec le lait des mères. Ils complémentent leur ration avec du foin ou de l'herbe pâturée au fur et à mesure de l'augmentation de leurs besoins. L'objectif de ce dataset est de fournir les données de croissance des veaux de 2009 à 2022 obtenues à partir des pesées régulières effectuées sur la ferme. Les deux fichiers inclus sont : - « transimarsh_elevage_croissance_veaux_2009_2022.csv ». Ce fichier donne pour chaque veau né entre 2009 et 2022 (n=681), l'année et la saison de naissance, le rang de vêlage de la mère, le sexe, la date et le poids de naissance, la date et l'age au sevrage, le nombre de pesées, le gain moyen quotidien en g par jour (GMQ) sur la base de la pente de la droite de régression et les poids théoriques à age type (150, 180, 210 et 240 jours) calculés sur la base du GMQ moyen. - « Read_Me.docx» détaillant le nombre de pesées par veaux, la méthode de calcul du GMQ et des poids à âge type ainsi que le codage des intitulés de colonnes du tableau de données « transimarsh_elevage_croissance_veaux_2009_2022.csv ».
DOI: 10.57745/ix0u1r
title: AGRIBALYSE® versions 3.0 3.0.1

description: Ce jeu de données comporte toute la documentation associée aux versions 3.0 et 3.0.1 de la base de données AGRIBALYSE®. Ce jeu de données est composé de documents indépendants et complémentaires : - Rapport méthodologique sur la production agricole; - Rapport méthodologique sur les produits alimentaires; - Les annexes du rapport méthodologique sur les produits alimentaires; - Rapport méthodologique sur les produits alimentaires (version anglaise); - Le tableur de résultats dimpacts AGRIBALYSE 3.0.1 pour les produits finis (produit consommable chez le consommateur) - Le tableur de résultats dimpacts AGRIBALYSE 3.0.1 pour les produits agricoles biologiques en sortie de ferme - Le tableur de résultats dimpacts AGRIBALYSE 3.0.1 pour les produits bruts conventionnels en sortie de ferme
DOI: 10.57745/i4cnrr
title: High spatial resolution synoptic water chemistry sampling during streamflow intermittence in the Naizin catchment, northwest France

description: This dataset contains measurements of dissolved organic carbon (DOC), dissolved inorganic nitrogen (DIN) and soluble reactive phosphorus (SRP) concentrations, and dissolved organic matter (DOM) loads from the PARAFAC model (Bro, 1997) measured at high spatial resolution in the river network of the Naizin catchment (https://agrhys.rennes.hub.inrae.fr/) during four sampling campaigns, including stream recession (7 June 2023), early and late fragmentation (22 August and 6 September 2023, respectively) and stream reconnection (15 November 2023). Filtered water was analysed via photometric analysis on an automatic sequential analyser (SmartChem® 200, AMS Alliance, France) for SRP, ammonium (NH 4+), and unfiltered for total P (TP). Major anions nitrite (NO2-) and nitrate (NO3) were analysed using an ion chromatograph (ICS -3000, Dionex, Sunnyvale, California, USA). DOC was determined using a carbon analyser (TOC-V 5050A, Shimadzu, Kyoto, Japan). Details of protocol are provided in the Methods section of Casanova et al. (2024) Spatial variability in nutrient and organic matter concentrations during hydrological fragmentation of an intermittent temperate catchment. Ce jeu de données contient des mesures de concentrations de carbone organique dissous (DOC), d'azote inorganique dissous (DIN) et de phosphore réactif soluble (SRP), ainsi que des charges de matière organique dissoute (DOM) issues du modèle PARAFAC (Bro, 1997) mesurées à haute résolution spatiale dans le réseau hydrographique du bassin versant de Naizin (https://agrhys.rennes.hub.inrae.fr/) au cours de quatre campagnes d'échantillonnage, incluant la récession du cours d'eau (7 juin 2023), la fragmentation précoce et tardive (22 août et 6 septembre 2023, respectivement) et la reconnexion du cours d'eau (15 novembre 2023). L'eau filtrée a été analysée par photométrie sur un analyseur séquentiel automatique (SmartChem® 200, AMS Alliance, France) pour le SRP, l'ammonium (NH 4+), et non filtrée pour le P total (TP). Les anions majeurs nitrite (NO2-) et nitrate (NO3) ont été analysés à l'aide d'un chromatographe ionique (ICS -3000, Dionex, Sunnyvale, California, USA). Le DOC a été déterminé à l'aide d'un analyseur de carbone (TOC-V 5050A, Shimadzu, Kyoto, Japon). Les détails du protocole sont fournis dans la section Méthodes de Casanova et al. (2024) Spatial variability in nutrient and organic matter concentrations during hydrological fragmentation of an intermittent temperate catchment.
DOI: 10.57745/iq91kc
title: Pretrained Transformers of "B-spline Curve Approximation With Transformer Neural Networks" article

description: Pretrained Transformers of B-spline Curve Approximation With Transformer Neural Networks article This dataset contains model checkpoints along with configuration and log files of trained transformer neural networks. Those networks have been trained following the methodology described in the link article. The following github repository can be used to read, test and process the data found in this dataset : bspline-curve-approximation-transformer. The Readme file can help you understand the nature of the data to help you in treating it yourself. A recent version of Pytorch is required to load some of the data (i.e. model checkpoints and parameters). The training logs and inference results come as csv and txt files and can be read and processed by any software of your choice. See Readme.md for a more detailed description of files and parameters. Feel free to contact the author regarding questions/problems with the data.
DOI: 10.57745/is51bx
title: Long-distance wind dispersal of Culicoides spp. from Sardinia to mainland Europe - Outputs of Hysplit Simulations

description: The dataset consists in geospatial files estimating the probability of Culicoides spp. insect being airborne from a source i (island of Sardinia) to any destination j in mainland Europe. The probability of long-distance dispersal was estimated from atmospheric simulations carried out using the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT®) model. Hysplit model parametrization (initiation conditions and filters applied to forward trajectories) has been specifically adapted to Culicoides spp. ecology and biological limits. Three independant scenarios of maximal flight durations were tested: 24 hours, 48 hours and 72 hours.
DOI: 10.57745/fus8cs
title: Acute hyperthermia and hypoxia resistances of 6 isogenic lines of rainbow trout at early and late ages

description: The datasets are 1) the resistance phenotypes of 6 isogenic lines of rainbow trout challenged to acute hypoxia stress at an early stage (182-187 days post-hatching), 2) the resistance phenotypes of 6 isogenic lines of rainbow trout challenged to acute hyperthermia stress at an early stage (182-187 days post-hatching), 3) the resistance phenotypes of 6 isogenic lines of rainbow trout challenged to acute hypoxia stress at a late stage (455-460 days post-hatching), and 4) the resistance phenotypes of 6 isogenic lines of rainbow trout challenged to acute hyperthermia stress at a late stage (455-460 days post-hatching). The environmental conditions during resistance phenotyping are also given in each of the 4 datasets. Resistance phenotypes were measured as the time before loss of equilibrium. All the information about the rearing and the phenotyping of isogenic lines are provided in the open-access article: "Lagarde, H., Phocas, F., Pouil, S., Goardon, L., Bideau, M., Guyvarc’h, F., Labbé, L., Dechamp, N., Prchal, M., Dupont-Nivet, M., Lallias, D., 2023. Are resistances to acute hyperthermia or hypoxia stress similar and consistent between early and late ages in rainbow trout using isogenic lines? Aquaculture 562, 738800. https://doi.org/10.1016/j.aquaculture.2022.738800"
DOI: 10.57745/hylznl
title: The Audio-Visual BatVision Dataset for Research on Sight and Sound

description: The BatVision dataset contains large scale audio-visual data from a robots’ perspective. For its creation, a robot traversed corridors, offices, lecture halls and driveways at a historic campus and modern office building like a bat, emitting chirping sounds with a speaker. A binaural microphone recorded their echoes which carry rich scene information of objects, materials and layout. This dataset will help investigate fundamental questions on how sound interacts with spaces, how it can be harnessed for robotic navigation and what in general can be understood about a scene from how it sounds.
DOI: 10.57745/i8kedc
title: Lateral sled experiments on human seated volunteers

description: This dataset contains the experimental data from lateral sled experiments on 5 seated human volunteers in different configurations: sagging or straight spine, relaxed or braced muscles.
DOI: 10.57745/ilwslf
title: Inverse QSAR: reversing descriptor-driven prediction pipeline using attention-based conditional variational autoencoder (ACoVAE)

description: In order to better formalize the notorious Inverse-QSAR problem (finding structures of given QSAR-predicted properties) is considered in this paper as a two-step process including (i) finding “seed” descriptor vectors corresponding to user-constrained QSAR model output values and (ii) identifying the chemical structures best matching the “seed” vectors. The main development effort here was focused on the latter stage, proposing a new Attention-based Conditional Variational AutoEncoder (ACoVAE) neural-network architecture based on recent developments in attention-based methods. The obtained results show that this workflow was capable of generating compounds predicted to display desired activity, while being completely novel compared to the training database (ChEMBL). Moreover, the generated compounds show acceptable druglikeness and synthetic accessibility. Both pharmacophore and docking studies were carried out as “orthogonal” in silico validation methods, proving that some of de novo structures are, beyond being predicted active by 2D-QSAR models, clearly able to match binding 3D pharmacophores and bind the protein pocket. The data is the following : - model.yaml : the model parameters in yaml format - chembl23_umap1_std.smi : the standardized SMILES structures taken from ChEMBL23. Standardization rules are described in the publication. - chembl23_umap1.svm : the fragment descriptors used for the model training. The fragmentation is described in the publication. The first column contains the SMILES of the molecule. Other columns consist in a pair of values separated by a ":". The first value identifies the fragment’s index in the header file, the second one is the fragment count. - IA-FF-FC-AP-2-3.hdr : header file .hdr, containing the index and a string representing each fragment discovered into the SDF.
DOI: 10.57745/inhdpu
title: Fiches incertitudes des modèles hydrologiques de surface du projet Explore2 : F et H Seine

description: Ensemble de fiche descriptives des incertitudes du projet Explore2 aux points de simulation pour la région hydrologique F et H Seine Accompagnement de lecture des fiches Incertitudes Le projet Explore2 a produit une quantité inédite de données hydrologiques. Ainsi, des ensembles de projections hydrologiques ont été élaborés sur près de 4000 points de simulation répartis en France hexagonale. Les fiches incertitudes visent à décrire les incertitudes de ces ensembles pour chacun des 3991 points de simulations hydrologiques (surface) obtenus avec la méthode de correction ADAMONT, pour trois indicateurs: QA, QJXA, et QMNA. Les valeurs numériques ne doivent pas être lues sur ces fiches, mais dans les fichiers de données brutes ou d’indicateurs pré-calculés mis à disposition, comme les fiches de synthèse, sur le portail « DRIAS les futurs de l’eau ». Ce document a pour objectif d’expliciter le contenu de ces fiches de synthèse des incertitudes.
DOI: 10.57745/j0y81k
title: NMR metabolite quantification of a synthetic urine sample: an inter-laboratory comparison of processing workflows

description: Inter-laboratory tests for metabolite quantification of a synthetic urine using 1H-NMR. Comparison of zgpr and NOESY-pr experiments and of several spectra processing strategies for metabolite quantification.
DOI: 10.57745/izde4q
title: Data for fast-charging of lithium iron phosphate battery with ohmic-drop compensation method

description: In this study, fast-charging of lithium iron phosphate batteries is investigated with ohmic-drop compensation method. The Li-ion batteries used are C-LiFePO4 cylinder cells manufactured by PHET (model: IFR13N0-PE1150). The nominal voltage for this battery is about 3.3 V at open-circuit. The nominal capacity of these batteries is 1.1Ah. Each file contains either data from charge or discharge at different C-rate: • Charge(XC)_X. This file contains the experimental raw data of the charge at XC • Discharge(XC)_X. This file contains the experimental raw data of the discharge at XC
DOI: 10.57745/ji6zpi
title: Flow intermittence indicators from the projection simulations (1985-2100) in the Genal DRN (Spain)

description: Statistical monthly and yearly flow intermittence indicators calculated from the simulated daily state of flow in the Genal DRN (Spain). Indicators are provided for 3 SSP scenarios and 5 climate models on the projection periods (1985-2014 and 2015-2100).
DOI: 10.57745/gm5quv
title: Comparative study of the oxidation of toluene and the three isomers of xylene

description: These data present an experimental study of the oxidation of toluene, ortho‑xylene, meta-xylene, and para-xylene in a jet-stirred reactor. In order to facilitate comparisons, the same experimental conditions were used for the four reactants, i.e. temperatures from 600 to 1200 K, a pressure of 1.07 bar, a residence time of 2 s, an initial fuel mole fraction of 0.005, and equivalence ratios of 0.5, 1 and 2. Compared to literature studies using the same type of reactor, due to higher residence time and initial fuel mole fraction, a higher number of aromatic products was observed and some reactivity was observed at lower temperatures, especially for ortho-xylene, which started to react from 700 K. For this fuel, the formation of phthalan, an aromatic compound including an oxetane ring and indicating low‑temperature oxidation chemistry, was confirmed.