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1 to 9 of 9 Results
May 25, 2021
Brault, Charlotte; Flutre, Timothée; Doligez, Agnès, 2021, "Scripts and data of the genetic analysis of Syrah x Grenache progeny", https://doi.org/10.15454/NOUQY2, Portail Data INRAE, V1, UNF:6:cPuUhPCLt7WlQDM7mknnWA== [fileUNF]
R-scripts and data associated with the publication "Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine". Article abstract: Viticulture has to cope with climate change and decrease pesticide inputs,...
May 6, 2021 - Experimental - Observation - Simulation Dataverse
Desbiez-Piat, Arnaud; Dillmann, Christine; Tenaillon, Maud, I., 2021, "Interplay between high drift and high selection in small selfing maize populations : simulator and summary data", https://doi.org/10.15454/JQABMJ, Portail Data INRAE, V1, UNF:6:FkZOmro4EhQgfvnOnfSRww== [fileUNF]
A R script that simulates the evolution of a quantitative trait in Saclay's Divergent Selection Experiments (Saclay's DSEs) breeding schemes, along with a dataset containing summary statistics on the observed response to selection for maize flowering time in Saclay's DSE's
Jan 11, 2021
Plancade, Sandra, 2021, "A stochastic process modelling of phyllochron : script and experimental data from the ITEMAIZE project", https://doi.org/10.15454/CUEHO6, Portail Data INRAE, V1, UNF:6:qoCrkWne08EUiI/jSov3ow== [fileUNF]
R script and data to implement the phyllochron model in Plancade et al (2021). See details in Readme.txt.
Dec 10, 2020 - Experimental - Observation - Simulation Dataverse
Haug, Benedikt, 2020, "Simulation Code for comparison of uni- and bivariate analysis in mixed cropping experiments", https://doi.org/10.15454/33S25W, Portail Data INRAE, V1, UNF:6:hFfv2zYHlDnBa/66IZEF+A== [fileUNF]
Simulation code for Haug, Benedikt, Monika M. Messmer, Jérôme Enjalbert, Isabelle Goldringer, Emma Forst, Timothée Flutre, Tristan Mary-Huard, and Pierre Hohmann. “Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept”, Manuscript subm...
Dec 10, 2020 - Experimental - Observation - Simulation Dataverse
Haug, Benedikt, 2020, "Simulation Code for comparison of four different experimental designs in mixed cropping experiments", https://doi.org/10.15454/VKKIBU, Portail Data INRAE, V1, UNF:6:hFfv2zYHlDnBa/66IZEF+A== [fileUNF]
Simulation code for Haug, Benedikt, Monika M. Messmer, Jérôme Enjalbert, Isabelle Goldringer, Emma Forst, Timothée Flutre, Tristan Mary-Huard, and Pierre Hohmann. “Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept”, Manuscript subm...
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 3, 2020 - UREP
Martin, Raphael, 2020, "PaSim", https://doi.org/10.15454/WY0LJL, Portail Data INRAE, V1
This dataset contains the files necessary to use PaSim, namely the software and its user guide. IDDN: IDDN.FR.001.220024.000.R.P.2012.000.10000
Jan 28, 2020 - Multi Criteria Assessment Methods
Sabbadin, Régis, 2020, "Multiple Correspondance Analysis of annotated data about Multi Criteria Assessment Methods used in the agri-food research", https://doi.org/10.15454/5ZTATS, Portail Data INRAE, V1
The annotation of scientific papers has been done in three steps described in detail in a related data paper (Gésan-Guiziou et al. 2019a). Firstly, the set of papers published by INRAE researchers from 2007 to 2017 have been extracted from the Web of Science (WOS) using a set of...
Sep 17, 2019 - EPGV
Toda, Nicholas, 2019, "NLGenomeSweeper", https://doi.org/10.15454/DS6VIK, Portail Data INRAE, V1
NLGenomeSweeper is a command line bash pipeline that searches a genome for NBS-LRR (NLR) disease resistance genes based on the presence of the NB-ARC domain using the consensus sequence of the Pfam HMM profile (PF00931) and class specific consensus sequences built from Vitis vini...
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