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    4753 research outputs found

    VALODIG Data (I) - Biostimulant effect of methanizer digestate and its extracts on winter rye

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    This dataset gathers the data obtained during the VALODIG project, aiming at assessing the potential biostimulant effect of digestate from territorial methanizers and its extracts on winter rye. It contains data on germination rate, growth, development, total CN contents, and architecture for shoot and root parts, from three experiments carried out respectively on Petri dishes, hydroponically, and a soil-sand substrate. The scientific paper associated with these data is available at https://doi.org/10.1016/j.biteb.2025.10205

    ICV du porc sous cahier des charges Porc Bien être dans AGRIBALYSE®

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    Ce rapport décrit l’inventaire Porc non castré décrit par le cahier des charges « Porc Bien-Être ». Cooperl a développé une filière d’élevage de porcs non castrés (mâles entiers) sous le cahier des charges « Porc Bien-Être » (cahier des charges incluant la non castration des mâles, mais également des spécificités génétique et alimentaire et une conduite adaptée). Cette démarche intègre les mâles et les femelles d’un même élevage. Elle représente une part de 90% de la production porcine Cooperl, soit 4,9 millions de porcs et 455 000 tonnes équivalent carcasses (plus de 20% de la production nationale de porcs). Les mâles de cette filière ont un indice de consommation inférieur à l’indice des mâles castrés conduisant à des performances alimentaires globales (ensemble porcs mâles et femelles) améliorées pour les élevages engagés dans la démarche Porc Bien-Être

    Dataset constituting the basis of two research articles on cognitive and contextual factors involved in decoding skills in non-native French-speaking and native French speaking children.

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    These data were collected as part of the TANMALL research project aimed at understanding the mechanisms involved in learning to read French in non-native French-speaking immigrant children attending primary schools. The data include demographic and contextual information about the participants, as well as their results on reading and cognitive tests. Test results are presented in terms of item and total scores

    A complete inventory of all native Mediterranean tree species of North Africa, Western Asia and Southern Europe

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    This dataset is an inventory of all native trees of the Mediterranean region in North Africa, Western Asia and Southern Europe. It contains data on occurrence, habit, endemism, risk of extinction and use for 739 taxa (species and subspecies) of Mediterranean trees and shrubs, spanning 39 botanical territories in Africa, Asia and Europe. This dataset also contains a bibliometric compilation of genetic knowledge available for these Mediterranean tree species as well as information on DNA content and ploidy. By Mediterranean, we mean a climate experiencing a dry summer season with an overall annual precipitation no less than 400 mm. In addition to all ecoregions of the Mediterranean biome in the Mediterranean basin except the Macaronesian islands, we included the following three ecoregions in our inventory: the Dinaric Mountains mixed forests of the Balkans, the Zagros Mountains forest steppe of Iran and Iraq and the Crimean Submediterranean forest complex. The geographic coverage of the inventory is figured in file "Geographic coverage map". By tree, we mean a woody plant with a well-defined trunk that can reach a 3-meter high adult size. We also considered woody species that are generally shrub-like but can, under some natural conditions, exhibit the tree-like habit defined above. By Mediterranean tree, we mean a species or a subspecies that has at least part of its natural distribution area in a habitat where Mediterranean bioclimatic conditions prevail in North Africa, Western Asia and Europe. Tree species whose main distribution is either in the temperate, oceanic, arid or desert climates but have some populations in a Mediterranean climate were considered. The dataset contains 14 files. - The first series of two files are the data and associated metadata of the taxa we considered as Mediterranean trees: "Data_trees" and its associated documentation file "Metadata_trees". There are 643 taxa (497 species and 147 subspecies) listed in the data file. "Data_trees" contains occurrence, habit, endemism and threat data - The second series of two files are the data and associated metadata of taxa we did not retain as Mediterranean trees and the reason why we did so: "Data_excluded" and its associated documentation file "Metadata_excluded". There are 96 (mostly species level) taxa in the data file, that are either shrubs (although they are characterized as trees in international reference databases) or trees not growing under a Mediterranean climate in the botanical territories surveyed. - The third series of two files are the data and associated metadata of the species-level taxa we retained as Mediterranean trees that we queried for genetic information related to adaptation and demographic processes as well as DNA content in the international literature: "Data_genetics" and its associated documentation file "Metadata_genetics". There are 496 species in the data file. - The fourth series of two files are the data and associated metadata of the Mediterranean tree species and subspecies which occur jointly in North Africa, Western Asia and Europe: "Data_shared" and its associated documentation file "Metadata_shared". There are 105 taxa in the data file. - The last files are (1) summary information on richness and geographic features at botanic country level ("Data_summary" and "Metadata_summary"), (2) coefficients of correlation between occurrence data and area size and heterogeneity ("Data_correl" and "Metadata_correl"), (3) a list of bibliographic and database references used for creating the data files: "References" and (4) a map of the geographic coverage of the inventory: "Geographic coverage map".<BR

    Projections hydrologiques Explore2 du débit pour le modèle ORCHIDEE sous RCP 2.6

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    Débit journalier simulé par le modèle hydrologique ORCHIDEE pour l'ensemble des projections climatiques Explore2 sous RCP 2.6. Ces fichiers résultent de la concaténation des simulations hydrologiques sous runs historiques (avant 2005) et des projections hydrologiques (post 2005), fichiers NetCDF disponibles au téléchargement sur le portail https://www.drias-eau.fr/commande. Ce dépôt regroupe un fichier NetCDF par couple GCM/RCM et correction de biais. Retrouvez davantage d'information sur la chaîne de modélisation du climat dans les métadonnées des fichiers NetCDF et le rapport https://doi.org/10.57745/PUR7ML . La description des modèles hydrologiques utilisés est disponible 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 : Description de l'ensemble des chaînes de modélisations : https://doi.org/10.57745/R6HG5X Description de l'ensemble des points de simulation : https://doi.org/10.57745/UTKWR5 Liste des simulations des chaînes de projections jugées aberrantes / horsains : https://doi.org/10.57745/YZNENQ Décomposition des chaînes de caractère formant le nom des fichiers NetCDF, séparées par des "_" : {1}: Variable : Nom de la variable (avec Adjust si les données sont corrigées) {2}: Domain : Couverture spatiale des données {3}: GCM-Inst-Model : Identifiant du GCM forçeur = Institut-Modèle {4}: Experiment : Identifiant de l’expérience historique ou future via le scénario {5}: Member : Numéro du membre de l'ensemble {6}: RCM-Inst-Model : Identifiant du RCM = Institut-Modèle {7}: Version : Identifiant de l’expérience historique ou future via le scénario {8}: Bc-Inst-Method-Obs-Period : Identifiant de la méthode de correction de biais statistique = Institut-Méthode-Réanalyse-Période {9}: HYDRO-Inst-Model : Identifiant du HYDRO = Institut-Modèle {10}: TimeFrequency : Pas de temps du jeu de données {11}: Startyear-Endyear : Couverture temporelle des données sous forme YYYYMMDD-YYYYMMD

    Serum albumin coated stellate mesoporous silica nanocomposites inhibit metastatic outgrowth in zebrafish embryos

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    This data set is related to the present article whose abstract is given as follows : Mesoporous silica-based nanoparticles (NPs) are promising tools for developing targeted therapeutic interventions in cancer. Endowed with a large pore silica shell suitable for drug encapsulation and with a responsive magnetic core, iron oxide stellate mesoporous silica (IO STMS) NPs stand out. Yet, their impact and potential toxicity on relevant in vivo models has not been carefully tested yet. Herein, we assessed the impact of these IO STMS nanocomposites in a syngeneic metastasis assay in zebrafish. NPs were surface-modified with human serum albumin (HSA) and loaded or not with the chemotherapeutic doxorubicin (DOX). In vitro, DOX-loaded NPs were expectedly more toxic to zebrafish melanoma (Zmel) cells than no-DOX NPs. In zebrafish embryos, the NPs were rapidly distributed through blood circulation and were found to colocalize over time with the vascular endothelium and local macrophages. Suprisingly, the NPs efficiently reduced the outgrowth of Zmel tumoral masses in an experimental metastasis assay in zebrafish embryos regardless of their loading with DOX. The anti-metastatic effect of these NPs was further improved by increasing the amount of HSA coating, also resulting in higher embryo survival. Altogether, IO STMS NPs showed promising cytotoxic effects on a relevant zebrafish metastasis model, inhibiting metastatic outgrowth in vivo independently of the drug loading. This opens the door to further testing for better exploiting their targeting and drug delivery potentialitie

    Validation de l’efficacité de 3 anticorps neutralisant le SARS-CoV-2 dans le cadre de l’étude QuickMabCovid chez la souris

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    IMAGES HISTOLOGIQUES de poumons et cerveau de souris K1

    Review of 135 transformer datasheets from 3 manufacturers

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    This dataset results from the review of technical data of transformer for 135 datasheets from 3 manufacturers (Eaton, General Electric, Schneider). This dataset compiles characteristics, including mass, rated power, Transformer type, Primary and secondary voltage, number of phases, type of coil, losses, and efficiency. This research work was supported by the CDP PowerAlps, the project CIRCULAR, and EECONE, which received funding from the Chips Joint Undertaking under grant agreements 101112065 and BPI France

    Impact in post-prandial situation of gustatory and olfactory sensory systems in the regulation of feeding behavior in rainbow trout (Oncorhynchus mykiss) after first month of feeding by plant based diet

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    This dataset contains the raw phenotypic data of the ANR "grant no. ANR-21-CE20-0009-01 “FEEDOMEGA”)

    Data used in the article "Minimum leaf conductance during drought: unravelling its variability and impact on plant survival"

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    Paper accepted 17/02/202

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