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1 to 10 of 11 Results
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...
Feb 10, 2020 - URGI Plant and Fungi Dataverse
Guillaumie, Sabine; Decroocq, Stéphane; Ollat, Nathalie; Delrot, Serge; Gomès, Eric; Cookson, Sarah, 2020, "Dissecting the control of shoot development in grapevine: genetics and genomics identify potential regulators", https://doi.org/10.15454/4ZUPCP, Portail Data INRAE, V1
A F2 population consisting of 337 individuals was derived from the inter-specific cross of V. vinifera cv. Cabernet-Sauvignon (CS) x V. riparia cv. Riparia Gloire de Montpellier (RGM). This population, named CS x RGM_F2, resulted from the self-fertilization of the F1_148 individu...
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...
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...
Nov 5, 2019 - URGI Plant and Fungi Dataverse
Millet, Emilie J.; Pommier, Cyril; Buy, Mélanie; Nagel, Axel; Kruijer, Willem; Welz-Bolduan, Therese; Lopez, Jeremy; Richard, Cécile; Racz, Ferenc; Tanzi, Franco; Spitkot, Tamas; Canè, Maria-Angela; Negro, Sandra S.; Coupel-Ledru, Aude; Nicolas, Stéphane D.; Palaffre, Carine; Bauland, Cyril; Praud, Sébastien; Ranc, Nicolas; Presterl, Thomas; Bedo, Zoltan; Tuberosa, Roberto; Usadel, Björn; Charcosset, Alain; van Eeuwijk, Fred A.; Draye, Xavier; Tardieu, François; Welcker, Claude, 2019, "A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios", https://doi.org/10.15454/IASSTN, Portail Data INRAE, V2, UNF:6:zF9w0A2f+MHeW7maeeXJWA== [fileUNF]
This dataset comes from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to east...
Jun 17, 2019 - ThaliaDB maize Dataverse
Nicolas, Stephane; Negro, Sandra; Millet, Emilie; Bauland, Cyril; Madur, Delphine; Combes, Valérie; Welcker, Claude; Tardieu, François; Charcosset, Alain, 2019, "DROPS maize GWAS analysis dataset", https://doi.org/10.15454/6TL2N4, Portail Data INRAE, V1
This dataset corresponds to the most significant SNP (-log(p-value)>5) identified by genome-wide association studies between the three traits (Flowering Time, Plant Height, Grain Yield) measured in 22 environments on a panel of 247 maize inbred lines. These analysis were conducte...
Jun 17, 2019 - ThaliaDB maize Dataverse
Nicolas, Stéphane; Madur, Delphine; Negro, Sandra; Combes, Valérie; Bauland, Cyril; Tardieu, François; Millet, Emilie; Welcker, Claude; Charcosset, Alain, 2019, "DROPS maize genotyping elaborate dataset", https://doi.org/10.15454/AEC4BN, Portail Data INRAE, V1
These three dataset correspond to three elaborate genotyping matrix after filtering and imputation published by Negro et al., (2019) in BMC Plant Biology: "Genotyping-by-sequencing and SNP arrays are complementary for detecting quantitative trait loci by tagging different haploty...
Jan 10, 2019 - Experimental - Observation - Simulation Dataverse
Akkal-Corfini, Nouraya; Robin, Paul, 2019, "Fate of nitrogen from artichoke crop residues: a lysimeter study", https://doi.org/10.15454/5MQJSV, Portail Data INRAE, V2, UNF:6:+cik3D2HRltAyfAIch8AFQ== [fileUNF]
The fate of N from artichoke (Cynara cardunculus L. var. scolymus (L.)) residues is quantified with a three-year study of 15N-labelled residues in an artichoke-cauliflower (Brassica oleracea L. cv. botrytis) rotation in six lysimeters. After three years, 6% of N in artichoke resi...
Oct 16, 2018 - BioForA Dataverse
Rogier, Odile; Chateigner, Aurélien; Amanzougarene, Souhila; Lesage-Descauses, Marie-Claude; Balzergue, Sandrine; Brunaud, Véronique; Caius, José; Soubigou-Taconnat, Ludivine; Jorge, Véronique; Segura, Vincent, 2018, "Data from: Accuracy of RNAseq based SNP discovery and genotyping in Populus nigra", https://doi.org/10.15454/KZOPZB, Portail Data INRAE, V1
This dataset includes analysis files for the paper "Accuracy of RNAseq based SNP discovery and genotyping in Populus nigra"
Oct 4, 2018 - URGI Plant and Fungi Dataverse
Quesneville, Hadi, 2018, "Transposable element annotation of Arabidopsis lyrata subsp. lyrata", https://doi.org/10.15454/INYUVZ, Portail Data INRAE, V1
After running the TEdenovo, we got a filtered library (without the SSR consensus and without the unclassified consensus if they were generated with less than 10 HSPs). We have clustered this library and the cluster number is in the header of each consensus. After a first TEannot...
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