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1 to 10 of 7,955 Results
Sep 22, 2020
Jardin, Julien, 2020, "Environmental conditions modulate the protein content and immunomodulatory activity of extracellular vesicles produced by the probiotic Propionibacterium freudenreichii CIRM-BIA129", https://doi.org/10.15454/Q6PPXY, Portail Data INRAE, V2
Propionibacterium freudenreichii is a probiotic Gram-positive bacterium with promising immunomodulatory properties. It modulates regulatory cytokines, mitigates the inflammatory response in vitro and in vivo. These properties were initially attributed to specific bacterial surfac...
Sep 22, 2020
Langlade, Nicolas; Pomiès, Lise, 2020, "Replication data for : "Efficiency of gene regulatory network inferencemethods on genomic and transcriptomic data with a large panel of hybrids" : 100 simulated datasets of RNA expression dataset of sunflower hybrids", https://doi.org/10.15454/VRGWZ2, Portail Data INRAE, V1, UNF:6:SgbP5ezyA1n3uEvI9dkKzA== [fileUNF]
Replication data for : "Efficiency of gene regulatory network inferencemethods on genomic and transcriptomic data with a large panel of hybrids" : 100 simulated datasets of RNA expression dataset of sunflower hybrids. Ce dossier contient les 100 jeux de données d'expressions arti...
Sep 21, 2020 - HYCAR
Astagneau, Paul; Delaigue, Olivier; Thirel, Guillaume, 2020, "Hydrology modelling R packages: codes for simulating streamflow using one parameter set", https://doi.org/10.15454/3PPKCL, Portail Data INRAE, V1
Example codes to run 8 hydrological modelling R packages. Each script enables application of the models on a simple hydrology example.
Sep 21, 2020 - Biogeco Dataverse
Bert, Didier; Le Provost, Grégoire; Delzon, Sylvain; Plomion, Christophe; Gion, Jean-Marc, 2020, "Needle and stem histogical data for Pinus pinaster plasticity study", https://doi.org/10.15454/N8GLMY, Portail Data INRAE, V1
This dataset contains the data that correspond to the article "Needle anatomic plasticity is related to better water-use efficiency and resistance to embolism in fast-growing Pinus pinaster families in conditions of water scarcity". The dataset is composed of two files: Variables...
Sep 17, 2020 - AgroResonance
Pages, Guilhem; Deborde, Catherine; Lemaire-Chamley, Martine; Moing, Annick; Bonny, Jean-Marie, 2020, "MRSI vs CEST MRI to understand tomato metabolism during fruit development: is there a better contrast?", https://doi.org/10.15454/PYMPNP, Portail Data INRAE, V1
Raw data supporting the results presented in the paper entitled "MRSI vs CEST MRI to understand tomato metabolism during fruit development: is there a better contrast?" The files named ExperimentalDetails v2 (xlsx or pdf) describe the dataset
Sep 15, 2020
Rimet, Frederic; Chonova, Teofana; Gassiole, Gilles; Gusev, Evgenuy; Kahlert, Maria; Keck, François; Kelly, Martyn; Kulikovskiy, Maxim; Maltsev, Yevhen; Mann, David; Pfannkuchen, Martin; Trobajo, Rosa; Vasselon, Valentin; Wetzel, Carlos; Zimmermann, Jonas; Bouchez, Agnès, 2018, "Diat.barcode, an open-access barcode library for diatoms", https://doi.org/10.15454/TOMBYZ, Portail Data INRAE, V9
Diatoms (Bacillariophyta) are ubiquitous microalgae which produce a siliceous exoskeleton and which make a major contribution to the productivity of oceans and freshwaters. They display a huge diversity, which makes them excellent ecological indicators of aquatic ecosystems, and...
Sep 15, 2020
Denancé, Caroline; Muranty, Hélène; Durel, Charles-Eric, 2020, "MUNQ - Malus UNiQue genotype code for grouping apple accessions corresponding to a unique genotypic profile", https://doi.org/10.15454/HKGMAS, Portail Data INRAE, V1
This dataset corresponds to the assignment of MUNQ (Malus UNiQue genotype) codes to a large set of apple accessions genotyped with common SSR (microsatellite) markers. The MUNQ assignment was performed as described in Muranty-Denancé et al. (2020; https://doi.org/10.1186/s12870-0...
Sep 14, 2020
Fabre, Frederic, 2018, "An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments by R. Djidjou-Demasse, J.-B. Burie, A. Ducrot, S. Lion, Q. Richard and F. Fabre", https://doi.org/10.15454/WAEIMA, Portail Data INRAE, V3, UNF:6:VMSNwYEeJZ3ImK9r2Mlkig== [fileUNF]
MATLAB codes for reproducing the simulations and main figures described in Djidjou-Demasse et al. 2020 An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments (https://www.biorxiv.org/content/10.1101/42346...
Sep 9, 2020
Penouilh-Suzette, Charlotte; Blanchet, Nicolas; Bonnafous, Fanny; de Givry, Simon; Dinis, Romain; Brouard, Céline; Duruflé, Harold; Gody, Louise; Grassa, Christopher; Heudelot, Xavier; Laporte, Marion; Mangin, Brigitte; Marage, Gwenola; Mayjonade, Baptiste; Pomiès, Lise; Langlade, Nicolas, 2020, "RNA expression dataset of 384 sunflower hybrids in field condition", https://doi.org/10.15454/HESVA0, Portail Data INRAE, V1, UNF:6:xMjpZQ4qQiTsbFqjJMoTXg== [fileUNF]
This article describes how RNA expression data of 173 genes were produced on 384 sunflower hybrids grown in field conditions. Sunflower hybrids were selected to represent genetic diversity within cultivated sunflower. The RNA was extracted from mature leaves at one time 7 days af...
Sep 4, 2020 - Fruit tree phenology
Alletru, David; Gazel, François; Corradi, Michel; Greil, Marie-Laure; Delmas, Marine, 2020, "Phenological data of 26 varietes of cherry, apricot, peach and apple trees since 2016 in a French orchad of Toulenne, Gironde, France", https://doi.org/10.15454/TJTV6N, Portail Data INRAE, V1, UNF:6:yOKlVPSTtymnP7Vhz1SYvA== [fileUNF]
This dataset contain phenological observations and growth data of 7 cherry, apricot and apple trees varietes and 5 peach trees varietes evaluated since 2016. These data come from observations perform since 2016 on "Les Jarres" estate belonging to the Arboricultural Experimental f...
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