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1 to 10 of 27 Results
Jan 28, 2020 - HYCAR
Coron, Laurent; Delaigue, Olivier; Thirel, Guillaume; Dorchies, David; Perrin, Charles; Michel, Claude, 2020, "airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling. R package version 1.6.12.", https://doi.org/10.15454/EX11NA, Portail Data INRAE, V1
Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and...
Jan 23, 2020 - HYCAR
Delaigue, Olivier; Coron, Laurent; Brigode, Pierre, 2020, "airGRteaching: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included). R package version 0.2.9.25.", https://doi.org/10.15454/W0SSKT, Portail Data INRAE, V1
Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed...
Jan 23, 2020 - HYCAR
Pelletier, Antoine; Andréassian, Vazken; Delaigue, Olivier, 2020, "baseflow: Computes Hydrograph Separation", https://doi.org/10.15454/Z9IK5N, Portail Data INRAE, V1
R package which computes hydrograph separation using the conceptual automated process from Pelletier and Andreassian (2020) Contains scalar and vectorized functions to compute correlation criterion to calibrate the baseflow separation model.
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...
Feb 18, 2020 - Omics Dataverse
Vacher, Corinne, 2020, "Bioinformatic scripts used to analyze fungal metabarcoding data obtained from Vitis vinifera leaves", https://doi.org/10.15454/WLHBP6, Portail Data INRAE, V1, UNF:6:LYk3rj9ck7B/6LlcF6oIcQ== [fileUNF]
Bioinformatic scripts used to sort, filter and analyze fungal raw sequence data obtained by metabarcoding foliar, bark and ground cover samples collected in an untreated vineyard at INRA Villenave d'Ornon (France). Amplicon sequence variant (ASV) tables obtained for vine leaves a...
May 18, 2021 - Unité expérimentale d’écologie et d’écotoxicologie aquatique
Pottier, Gaétan; Marchand, Frederic, 2020, "Conseil et accompagnement pour les réglages de pêche électrique (CARPE)", https://doi.org/10.15454/P2DYBQ, Portail Data INRAE, V2
Pour combiner l’efficacité de capture des pêches scientifiques à l'électricité et le bien-être des poissons (dans des conductivités allant de 100-10000 µS.cm-1), il est recommandé de mesurer la distance de gradient de tension de 0,1 V.cm-1 afin de régler la tension selon la situa...
Jun 4, 2021 - ELDAM
Coste, Gustave; Biard, Yannick; Roux, Philippe; Hélias, Arnaud, 2020, "ELDAM: A Python software for Life Cycle Inventory data management", https://doi.org/10.15454/6EKXJQ, Portail Data INRAE, V2
Source code of ELDAM (ELsa DAta Manager), a software developed in Python to manage Life Cycle Inventory (LCI). The purpose of ELDAM is to allow better LCI documentation, archiving and exchange by providing a user-friendly, spreadsheet based interface and a complete review procedu...
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 22, 2020
Dérozier, Sandra; Nicolas, Pierre; Mäder, Ulrike; Guérin, Cyprien, 2020, "Genoscapist", https://doi.org/10.15454/OMDLOD, Portail Data INRAE, V2
Genoscapist is a web-tool generating high-quality images for interactive visualization of hundreds of quantitative profiles along a reference genome together with various annotations.
Jul 23, 2020 - UEFP Dataverse
Denou, Jean-Luc, 2020, "GéoDispo, un nouvel outil pour géoréférencer facilement les objets d'étude (plantes ligneuses par exemple) dans les dispositifs expérimentaux de terrain", https://doi.org/10.15454/MEIIK0, Portail Data INRAE, V2
Dans la plupart des dispositifs expérimentaux (sylviculture, viticulture, arboriculture), les objets d'étude (dans ces cas des plantes ligneuses) sont identifiés dans un repère orthogonal spécifique au dispositif, avec des coordonnées de type XY qui ne permettent pas directement...
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