Skip to main content
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find
Advanced Search

1 to 10 of 33 Results
Jan 10, 2020 - ThaliaDB maize Dataverse
Nicolas, Stephane; Negro, Sandra; Madur, Delphine; Clipet, Camille; Combes, Valérie; Bauland, Cyril; Tardieu, François; Charcosset, Alain; Moreau, Laurence, 2020, "Amaizing Dent Panel Genotyping Dataset (354 Public Lines)", https://doi.org/10.15454/GAHEU0, Portail Data INRAE, V1, UNF:6:xDkI2MetKCmc6/d1u04ZkA== [fileUNF]
Genotyping matrix of a collection of 354 dent maize inbred lines corresponding to the "Public Amaizing Dent Panel". This panel includes: (i) 254 dent inbred lines from "Drops panel" assembled in the frame of F7P European projects DROPs (FP7-244374, PI: F. Tardieu) and (ii) 100 de...
Biogeco Dataverse(INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement - www.inrae.fr)
Biogeco Dataverse logo
May 18, 2018Experimental - Observation - Simulation Dataverse
BIOGECO (BIOdiversité, GEnes & COmmunautés) est une Unité Mixte de Recherche (UMR) de l’INRAE et de l’université de Bordeaux. La mission de l’UMR Biogeco est de développer des recherches novatrices orientées vers l’analyse de la biodiversité à différentes échelles du vivant (des...
May 18, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia; Fady, Bruno; Anger, Christel; Bastien, Catherine; Bastien, Jean-Charles; Chancerel, Emilie; Denou, Jean-Luc; Dowkiw, Arnaud; Ducousso, Alexis; Gauvrit, Christophe; Ienhuth, Bernard; Kremer, Antoine; Lefèvre, François; Muratorio, Sylvie; Pâques, Luc; Pastuszka, Patrick; Pichot, Christian; Plomion, Christophe; Puzos, Luc; Raffin, Annie; Rei, Franck; Santi, Frédérique; Severin, Laurent; Thevenet, Jean; Vauthier, Denis; Veisse, Dominique; Verger, Michel; Villar, Marc, 2021, "Datasets from common gardens of the Forest Genetics Network for Research and Experimentation (GEN4X)", https://doi.org/10.15454/50RS8C, Portail Data INRAE, V1
GEN4X (forest genetics network for research and experimentation) is a French network of forest tree common gardens which compare genetic units of varied types (species, sub-species, geographic origins, families, clones) across wide ranging environmental conditions. The initial ob...
Dispositifs (INRA - Institut National de la Recherche Agronomique)
Jan 13, 2021Fourrages ligneux
Ce dataverse a pour vocation de rassembler les descriptions des dispositifs expérimentaux dédiés à l’étude des fourrages ligneux (arbres, arbustes ou lianes fourragères). This dataverse aims to gather descriptions of experimental sites dedicated to the study of fodder trees, shru...
Jan 18, 2018
Dataverse dédié aux données acquises dans le cadre de dispositifs où certains facteurs sont contrôlés ou manipulés (phénotypage, essais agronomiques...), données acquises en milieu naturel ou sur des objets non manipulés (flux au-dessus d’un couvert forestier, variations de poten...
Feb 7, 2020 - ThaliaDB maize Dataverse
Rio Simon, 2020, "FlintDent GWAS dataset", https://doi.org/10.15454/OQT5CY, Portail Data INRAE, V1
This dataset corresponds to the data associated with the study: "Disentangling group specific QTL allele effects from genetic background epistasis in GWAS: an application to maize flowering" by Rio et al. (2019). The data includes genotypic and phenotypic information for a panel...
Dec 8, 2020 - ThaliaDB maize Dataverse
Nicolas, Stéphane; Madur, Delphine; Charcosset, Alain; Bauland, Cyril; Combes, Valérie; Berard, Aurélie; Arca, Mariangela; Mary-Huard, Tristan; Le Paslier, Marie-Christine; Gouesnard, Brigitte, 2020, "Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array", https://doi.org/10.15454/GANJ7J, Portail Data INRAE, V1, UNF:6:IvZiMGs4Oo8oWZqgBbcDdA== [fileUNF]
R scripts and fluorescence intensity datasets of 24 controlled pools and 327 inbred lines panels extracted from 50K Illumina Infinium HD array (Ganal et al., 2010). These datasets and R scripts can be used to calibrate a model to predict allelic frequencies in new DNA bulks using...
Feb 14, 2021
Decroocq, Veronique, 2021, "Following the Adaptive Path of Fruit Tree Domestication using Population Genomics : the Case of Apricots", https://doi.org/10.15454/A15AKV, Portail Data INRAE, V1, UNF:6:Eq5xYm/b0o1ZE09za/VPnw== [fileUNF]
In this paper, we generated four high-quality genome assemblies, for the first time anchored on genetic maps for apricots, and we sequenced the genomes of 578 accessions from natural populations their whole range (Central Asia and China) and from the two main cultivated populatio...
Fourrages ligneux logo
Jun 23, 2020Experimental - Observation - Simulation Dataverse
Ce dataverse a pour vocation de rassembler les résultats des travaux réalisés sur les fourrages ligneux (arbres, arbustes ou lianes fourragères), qu’ils concernent leur valeur nutritive, la quantité de biomasse produite ou ingérée ou bien le comportement des animaux. This dataver...
Fruit tree phenology(INRAE - Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Jun 17, 2020Unité Expérimentale Horticole
This Dataverse is composed both of phenological data of 5 species of fruit trees (apple, pear, cherry, peach and apricot) present on the Horticulture Experimental Facility, as well as meteorological data.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Portail Data INRAE Support

Portail Data INRAE Support

Please fill this out to prove you are not a robot.

+ =