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11 to 20 of 81,102 Results
Dec 9, 2020 - Portail Data INRAE
INRAE-CBGP, 2020, "Arthemis database", https://doi.org/10.15454/TBGRIB, Portail Data INRAE, V1
The database hosts a dense diversity of arthropod species that are pests of different cultures throughout the world, as well as their natural enemies plus some species of conservation concern (Coleoptera Carabidae, Tenebrionidae ; Lepidoptera Papilionidae ; Neuroptera). Our main...
Dec 9, 2020 - Biogeco Dataverse
Alexandre, Hermine; Truffaut, Laura; Klein, Etienne; Ducousso, Alexis; Chancerel, Emilie; Lesur, Isabelle; Dencausse, Benjamin; Louvet, Jean-Marc; Nepveu, Gérard; Torres-Ruiz, José M.; Lagane, Frédéric; Musch, Brigitte; Delzon, Sylvain; Kremer, Antoine, 2020, "Long term monitoring of evolutionary changes in oak stands", https://doi.org/10.15454/XL23BS, Portail Data INRAE, V1, UNF:6:9upGid54ouhcG7oBqApC8Q== [fileUNF]
This dataset is composed of 4 files : The file EcologyG1&G2 provides ecological data assessed on the level of each tree (G1 and G2) and derived from a floristic survey. Details about the assessments of the ecological data are provided in Truffaut et al (2017, Article p. 127 and S...
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...
Dec 7, 2020 - Omics Dataverse
Fort, Tania; Pauvert, Charlie; Zanne, Amy; Ovaskainen, Otso; Caignard, Thomas; Barret, Matthieu; Compant, Stéphane; Hampe, Arndt; Delzon, Sylvain; Vacher, Corinne, 2020, "Bioinformatic and statistical scripts for "Fort et al. 2020. Maternal effects shape seed fungal communities in Quercus petraea, New Phytologist"", https://doi.org/10.15454/0CNFWS, Portail Data INRAE, V3, UNF:6:+ROFl+GYxv+1vFHcrzj8MA== [fileUNF]
This dataset contains R-scripts to analyse the diversity and composition of seed fungal communities (Fort et al. 2020. Maternal effects shape seed fungal communities in Quercus petraea. New Phytologist, https://doi.org/10.1111/nph.17153). The bioinformatic script was applied to r...
Dec 1, 2020 - Portail Data INRAE
Chonova, Teofana; Vasselon, Valentin; Bouchez, Agnès; Rimet, Frédéric, 2020, "A ready-to-use database for mothur: Diat.barcode_rbcL_263bp_mothur based on Diat.barcode v9", https://doi.org/10.15454/SOMFSU, Portail Data INRAE, V2
Ready to use database adapted from Diat.barcode v9 for MOTHUR
Dec 1, 2020 - Select SNP for Imputation
Herault, Frederic, 2020, "Select SNP for Imputation software", https://doi.org/10.15454/4KVRWY, Portail Data INRAE, V1
Select SNP subset for Imputation (SS4I) is a tool dedicated to the selection of a sub-panel of SNP for the design of a low density genotyping chip. This program, written in Python, allow the selection of SNP subset according to a chosen linkage disequilibrium (r2) threshold on a...
Dec 1, 2020 - Select SNP for Imputation
Herault, Frederic, 2020, "Instructions for use SS4I Software", https://doi.org/10.15454/PD5RDB, Portail Data INRAE, V1
Instructions for use SS4I Software
Nov 13, 2020 - Portail Data INRAE
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, V10
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...
Oct 14, 2020 - Biogeco Dataverse
Danjon, Frédéric; Saint Cast, Clément; Meredieu, Céline; Bert, Didier; Danquechin Dorval, Antoine; Issenhuth, Bernard; Lagane, Frédéric; Ségura, Raphaël, 2020, "Descriptive variables of 11,004 roots from 69 Pinus pinaster root systems excavated and digitized in 3D", https://doi.org/10.15454/K9DQPA, Portail Data INRAE, V1, UNF:6:FL0LCMy3RvT1EXOu6emvZg== [fileUNF]
This data set include 11004 roots from 69 coarse root systems of Pinus pinaster trees. These trees belong from the same local provenance of P. pinaster trees germinated in the field and grown in the same area (forest range of the “Landes de Gascogne” in Southwest France).These tr...
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...
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