1 to 10 of 13 Results
Apr 23, 2019
Ollitrault, Martine; Jeannot, Nicolas, 2019, "Physico-chemical parameters of river water in Scorff and its tributaries (Morbihan county - France)", https://doi.org/10.15454/GAXTX6, Portail Data INRAE, V2, UNF:6:9kn2WvojRLPch2betimtOg== [fileUNF]
The data consist of physico-chemical parameters of river water in Scorff and its tributaries, collected since 1999. The parameters are water temperature (°C), hydrogen potential (pH), conductivity, turbidity, nitrates (NO3-), ammonium (NH4+) and ortophosphates (PO4 ---). This dat... |
Apr 12, 2019 - Experimental - Observation - Simulation Dataverse
Ollitrault, Martine; Delanoë, Richard; Destouches, Jean-Pierre; Huteau, Dominique; Tremblay, Julien; Marchand, Frédéric, 2019, "Physico-chemical parameters of river water in Oir and its tributaries (Manche county - France)", https://doi.org/10.15454/SGO7EU, Portail Data INRAE, V2, UNF:6:FNIb/2X36yQKBXl/Sc2DpA== [fileUNF]
The data consist of physico-chemical parameters of river water in Oir and its tributaries, collected since 2001. The parameters are water temperature (°C), hydrogen potential (pH), conductivity, turbidity, nitrates (NO3-), nitrites (NO2-), ammonium (NH4+) and ortophosphates (PO4... |
Apr 17, 2019
Hilal, Mohamed; Joly, Daniel, 2019, "Les types de climats en France, une construction spatiale - Types of climates on continental France, a spatial construction", https://doi.org/10.15454/98BHVH, Portail Data INRAE, V1
English: Taking into account measurements made by Météo-France recording stations, a data set related to temperature and precipitation is worked out for a 30 years period (1971-2000), it includes 14 variables able to characterize the climates and their specific variability. An or... |
Jul 5, 2019 - GisSol Dataverse
Martin, Manuel, 2019, "La carte nationale des stocks de carbone des sols intégrée dans la carte mondiale de la FAO", https://doi.org/10.15454/JCONRJ, Portail Data INRAE, V1
La carte de la France métropolitaine (hors Corse) des stocks de carbone dans les sols a été préparée par l’INRA dans le cadre d’un exercice mondial piloté par le Partenariat Mondial sur les Sols hébergé par l’Organisation des Nations-Unies pour l’alimentation et l’agriculture, la... |
Jul 26, 2019 - Omics Dataverse
Lagrée Marie, 2019, "Impact of oxidative stress (H2O2) on Pseudomonas Graminis - LCMS dataset", https://doi.org/10.15454/ZAWDKQ, Portail Data INRAE, V2
Impact of atmospheric stresses on clouds microorganisms metabolism: the case of H2O2 Dataset: The dataset contains 32 files created from 500MHz NMR spectrometer and cdf files created from LC-MS system:62 samples and 9 CQP (pools) injected in positive ionization mode and 64 sample... |
Oct 25, 2019 - Experimental - Observation - Simulation Dataverse
Chat, Joelle; Gueraud, Francois; Coste, Pascale; Carlut, Esther; Lange, Frédéric; Aymes, Jean-Christophe; Barracou, David, 2019, "Images d'écailles de truites de mer de la Nivelle (FR) / Images of sea trout scales from Nivelle (EN)", https://doi.org/10.15454/SFE2D7, Portail Data INRAE, V1
Photographies d'écailles collectées sur des truites de mer piégées sur le bassin de la Nivelle (Sud-Ouest de la France) durant leur remontée en eau douce. (FR) Photographs of scales collected from sea trout trapped during their upstream migration in the river system of Nivelle (s... |
Oct 25, 2019 - Experimental - Observation - Simulation Dataverse
Chat, Joelle; Gueraud, Francois; Coste, Pascale; Aymes, Jean-Christophe; Barracou, David, 2019, "Images d'écailles de truites de mer de l'Adour (FR) / Images of sea trout scales from Adour (EN)", https://doi.org/10.15454/5X8L3X, Portail Data INRAE, V1
Photographies d'écailles collectées sur des truites de mer piégées sur le bassin de l'Adour (Sud-Ouest de la France) durant leur remontée en eau douce. (FR) Photographs of scales collected from sea trout trapped during their upstream migration in the river system of Adour (southw... |
Jan 7, 2021 - Experimental - Observation - Simulation Dataverse
Akkal-Corfini, Nouraya; Robin, Paul; Sévère, Jean-Paul, 2019, "Fate of nitrogen from artichoke crop residues: a lysimeter study", https://doi.org/10.15454/5MQJSV, Portail Data INRAE, V3, UNF:6:X4jY316mHve/jrq9z/GbFg== [fileUNF]
The fate of N from artichoke (Cynara cardunculus L. var. scolymus (L.)) residues is quantified with a lysimeter study of 15N-labelled residues in an artichoke-cauliflower (Brassica oleracea L. cv. botrytis) rotation observed between 1998 and 2004. At the end of the three year cro... |
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... |