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Metabolomes of bovine Holstein embryo spent culture media
No full textData is organized into three excel sheets of bovine Holstein embryo spent culture medium metabolome, from in vivo developed and in vitro produced in two different conditions:
- IVD.xlsx: 90 in vivo developed embryos
- IVP.xlsx: 761 in vitro embryos – SOF medium supplemented with 1% foetal calf serum;
- IVP176.xlsx: 176 in vitro embryos – IVF Bioscience medium
Embryos were recovered at Day-6 and cultured individually for 26 hours. Culture medium was analysed by H1-RMN spectrometry, embryos were staged, graded and sexed. Sheets format is as follows:
Columns Description*
A Identifiant
B to Y Metabolites
Z D6 stage
AA D6 Grade
AB D7 Stage
AC D7 Grade
AD Se
Control of SrF2 crystal size in transparent germanate oxyfluoride glass-ceramics through Eu2O3 doping
No full textDataset production context: The development of transparent glass-ceramics is a challenging endeavor in the field of mid-infrared photonics in order to fabricate robust and optically efficient materials. In this study, the glass-forming region of the novel xGeO2 – (100-x) (BaF2, SrF2, ½ In2O3) system is investigated, while SrF2-forming glass-ceramic compositions are identified. DSC measurements upon Eu2O3 doping show a decrease in the onset temperature of SrF2 crystallization. In the meantime, both XRD and TEM acquisitions confirm a decrease in crystal size as the dopant content increases. Part of the Eu3+ ions enter the SrF2 crystallites, as demonstrated by steady-state and time-resolved spectroscopies. Hence, we demonstrate that europium oxide doping enables a precise control of SrF2 nanocrystal size in the GeO2-BaF2-SrF2-In2O3 system. Our findings open doors towards the nanostructure tailoring of SrF2-containing germanate glass-ceramics using rare-earth dopants for luminescence and laser applications.
For more information see the article. English</td
Indicateurs des séries annuelles issus des projections hydrologiques Explore2 pour le modèle SMASH sous RCP 8.5
No full textIndicateurs des séries annuelles issus des débits journaliers simulés par le modèle hydrologique SMASH pour l'ensemble des projections climatiques Explore2 sous RCP 8.5. Ces fichiers résultent de l'agrégation temporelle des simulations hydrologiques sous runs historiques (avant 2005) et des projections hydrologiques (post 2005), fichiers NetCDF disponibles au téléchargement dans la collection Explore2 - Projections hydrologiques.
Ce dépôt regroupe un tableau par indicateur et chaîne de simulation, c'est-à-dire, scénario d'émission RCP, couple GCM/RCM, correction de biais BC et modèle hydrologique HM. Ces données sont brutes et contiennent donc des chaînes de projections jugées aberrantes / horsains qu'il est possible de filtrer grâce à des métadonnées supplémentaires. Pour des raisons techniques, ces indicateurs sont regroupés par dossiers compressés selon les différentes phases du régime hydrologique.
La description des chaines de modélisation du climat et celle des modèles hydrologiques sont, respectivement, disponibles dans le rapport https://doi.org/10.57745/PUR7ML et dans les annexes du rapport https://doi.org/10.57745/S6PQXD. Retrouvez le diagnostic des modèles hydrologiques résumé à l'échelle des régions hydrologiques dans les fiches téléchargeables ici : https://doi.org/10.57745/DMFUXW.
Métadonnées supplémentaires : Récapitulatif de l'ensemble des indicateurs hydrologiques : https://doi.org/10.57745/JVNHQL Récapitulatif de l'ensemble des chaînes de simulation : https://doi.org/10.57745/R6HG5X Description de l'ensemble des points de simulation : https://doi.org/10.57745/UTKWR5 Liste des chaînes de modélisation jugées aberrantes / horsains : https://doi.org/10.57745/YZNENQ Récapitulatif des années pivots utilisées pour la TRACC : https://doi.org/10.57745/DCOQM6
Décomposition des chaînes de caractères formant le nom des fichiers parquet, séparées par des "_" : {1} Indicateur : Le nom de l’indicateur, du type de statistique calculée {2} Échantillonnage : Échantillonnage temporel sur laquelle est calculé l’indicateur → {1}_{2} Variable : Variable résultante d'un indicateur temporellement contextualisé {3} EXP : Identifiant de l’expérience historique (post 2005) ou future (post 2005) {4} GCM : Identifiant du GCM forçeur {5} RCM : Identifiant du RCM {6} BC : Identifiant de la méthode de correction de biais statistique {7} HM : Identifiant du modèle hydrologique
Les colonnes des fichiers parquet sont : EXP : Voir ci-dessus GCM : Voir ci-dessus RCM : Voir ci-dessus BC : Voir ci-dessus HM : Voir ci-dessus code : Code à 10 caractères du point de simulation fourni dans la description des points de simulation date : Date du début de la période annuelle d'agrégation (i.e. 2042-05-01 indique que l'année hydrologique commence en mai, plus d'information dans les métadonnées de variable) *Variable* : Voir ci-dessus
Retrouvez des scripts d'aide pour utiliser ces données parquet
Forest dynamics GO+ simulations 2006-2100 RCP4.5-8.5 management Landes de Gascogne
No full textThis dataset corresponds to the simulation data used in the article: Optimisation of forest management under climate change in the French maritime Pine (Pinus pinaster Aiton) forests by Lucile Ansaldi, Clémence Labarre, David Makowski, Jean-Christophe Domec, Denis Loustau.
It was produced with the GO+ model (Moreaux et al., 2020), for simulations from 2006 to 2100, on two points of the Safran grid, in the Landes de Gascogne, under two climate change scenarios (RCP 4.5 and 8.5), for three levels of Soil Water available Capacity (25, 75 and 125 mm) and for four management modes, Classic, Short, Long, Drought.
The file titles are as follows: simulation_PCS123456_7777_extract
With:
1 = climate scenario (3 = 2.5, 4 = 4.5, 8 = 8.5)
2 = forest species 0 = Pin Maritime
3 = management (0 classic, 3 short, 4 long, 6 drought)
4 = pests (always 0)
5 = soil water capacity 0 = 25 , 1 = 75, 2 = 125
6 = initial stand age (0=0, 1 = 16, 2= 26, 3 = 36 years)
7777 = Safran grid cell number (7664, northern area, "dry site" and 8357, southern area, "wet site")
The variables are:
Date = year
Forest_Age = Age of the forest, number of year
VPD = Vapour Pressure Deficit, Pa
Tmoy = Temperature, °C
Rain = Precipitation, mm
CO2 = Air CO2 concentration, mol CO2 . mol air -1
Harvested_Wstem = Carbon exported from harvested trees, kg DM.m-2.yr-1
Denisty = Tree density, number of tree per ha
DBH = Diameter at Breast Height, cm
Height = Tree height, m
Stem_VOL = Volume of the living stem, m³
V. Moreaux, S. Martel, A. Bosc, D. Picart, D. Achat, C. Moisy, R. Aussenac, C. Chipeaux J.-M. Bonnefond, S. Figueres, P. Trichetl, R. Vezy, V. Badeau, B. Longdoz, A. Granier, O. Roupsard, M. Nicolas, K. Pilegaard, G. Matteucci, C. Jolivet, A. T. Black, O. Picard, and D. Loustau. Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the inrae go plus model, version 3.0. Geoscientific Model Development, 13(12):5973-6009, 2020. doi: 10.5194/gmd-13-5973-2020.796D.</P
Table des aliments moyens Ciqual 2025
No full textLa table des aliments moyens 2025 complète la table de composition nutritionnelle Ciqual 2025. Cette dernière renseigne sur la composition nutritionnelle des aliments les plus consommés en France, dont certains aliments dits "moyens", comme du "fromage", de la "viande cuite", un "fruit", un "légume cuit", sans plus de précision. La table des aliments moyens Ciqual 2025 liste ces 191 aliments particuliers ainsi que leurs contributeurs au format Excel. Elle fournit donc des éléments de documentation et de traçabilité permettant de préciser comment sont déterminées les compositions nutritionnelles des aliments moyens de la table Ciqual.
La table des aliments moyens 2025 est publiée par l’unité Observatoire des Aliments de l'Agence nationale de sécurité sanitaire de l’alimentation, de l’environnement et du travail (Anses)
Données de réplication pour "Auditory evoked Delta-brushes involve stimulus-specific cortical networks in preterm infants"
No full textThis dataset contain EEG files recorded in newborns aged 30-38 post menstrual weeks), using 32 electrode neonatal caps according to 10/10 international system. Babies received auditory stimuli presented with constant sound volume via headphones (click at 70 dB sound pressure level and a recorded male voice pronouncing the word “bébé” around 50 dB SPL. Auditory evoked responses (AERs) including their late component, evoked delta-brushes (DBs) were analyzed after averaging of AERs, frequency power spectrum analyses and time-frequency analyses.
The dataset contain Excel files with frequency power spectrum (PS) values of mean-referenced signals computed over 2-sec time intervals using the Fast Fourier Transform (FFT) algorithm immediately preceding and following auditory stimuli in 6 frequency bands: delta; theta; alpha; beta; gamma and high-gamma. These PS values were analyzed in population statistical analysis . Overall, our study showed stimulus-specific scalp topography of evoked DBs as well as of evoked oscillations more widespread for the “click”-response. These results suggests that auditory-evoked oscillations underlie specific auditory processing during fetal development
Multi-Sensor Vehicle Trajectories Dataset for Localization and Perception
No full textThis dataset contains complete recordings of trajectories performed by an experimental vehicle equipped with a wide range of perception and positioning sensors. The data is intended for research and development in the fields of localization, mapping, sensor fusion, robotic perception, and autonomous navigation, with 7 different trajectories. This acquisition was carried out as part of the ANR LOCSP project using the vehicle demonstrator tools from the PRETIL platform of the CRIStAL laboratory.
This dataset contains the following sensor data types :
- GNSS positions from multiple receivers
- 3D point clouds from LIDAR systems
- IMU (Inertial Measurement Unit) data from onboard sensors
- CAN bus data recording the internal vehicle state (speed, steering, etc.
Landscape heterogeneity and pesticide reduction favor predation, but also grape infestation by <i> Lobesia botrana </i>
No full textThe data deposited were collected at the BACCHUS workshop site, located in Gironde in south-west France. It covers the Libournais and Entre-Deux-Mers wine-growing regions. The data were acquired as part of the SECBIVIT project and OPERA project.
The data were collected in 19 paired landscapes, one in a conventional vineyard and one in an organic vineyard. Different landscape characteristics were recorded and farmers were interviewed to collect data on farming practices.
In these landscapes, predation rates were measured on different development stages of the pest, the grape berry moth Lobesia botrana, as well as the damage caused to the vines corresponding to the 1st and 2nd generation of the pest.
Data were collected in 2019
micro-organisms data in the DRYvER project
No full textCounted values for each MOTU, corresponding nucleotide sequences that were amplified with Euka02 or Bact02, alignment scores of the best match in the reference database, sequence ids of the best match in the reference database and superkingdom, kingdom, phylum, class, order, family, genus and species to which each MOTU was assigned. Environmental and background variables include sampling season, flow state and habitat where sample was collected (flowing water, dry riverbed, isolated pool)
Flow intermittence indicators from the reconstruction simulations (1960-2021) in the Butiznica DRN (Croatia)
No full textStatistical monthly and yearly flow intermittence indicators calculated from the simulated daily state of flow in the Butiznica DRN (Croatia).
Indicators for the reconstruction period (1960-2021)