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1 to 4 of 4 Results
Mar 22, 2020 - Experimental - Observation - Simulation Dataverse
Marchand, Frederic; Delanoë, Richard; Destouches, Jean-Pierre; Tremblay, Julien, 2018, "Water temperature on the Oir river and its tributaries (Manche county - France)", https://doi.org/10.15454/YFY4AQ, Portail Data INRAE, V3
The data consists of Oir river and its tributaries water temperature since 1986 collected for the Environmental Research Observatory (ERO) on Diadromous Fish in Coastal rivers (DiaPFC). ORE DiaPFC is a research infrastructure focused on studying the evolution of diadromous fish p...
Sep 20, 2018 - Experimental - Observation - Simulation Dataverse
Marchand, Frederic; Aymes, Jean-Christophe; Gueraud, François; Domaizon, Isabelle; Goulon, Chloé; Hamelet, Valérie; Lange, Frédéric; Prevost, Etienne; Baglinière, Jean-Luc; Beaulaton, Laurent; Penil, Caroline; Josset, Quentin; Flesselle, Aurélie; Starck, Agnès; Jeannot, Nicolas; Herrard, Nadine; Martignon, Mélanie; Azam, Didier, 2018, "Colisa, the collection of ichthyological samples.", https://doi.org/10.15454/D3ODJM, Portail Data INRAE, V1
The collection of ichthyological samples, Colisa, results from the merging of historical samples collected by 3 INRA units (U3E in Rennes, ECOBIOP in Saint Pée sur Nivelle and CARRTEL in Thonon les Bains) and AFB-INRA Pole Gest’Aqua. These samples come from long term monitoring a...
Aug 10, 2018
Vasselon, Valentin; Rimet, Frederic; Bouchez, Agnès, 2018, "Rsyst::diatom_rbcl_align_312bp database: a database adapted to DNA metabarcoding (version v7: 23-02-2018)", https://doi.org/10.15454/HYRVUH, Portail Data INRAE, V1
Method followed to obtain the Rsyst::diatom_rbcl_align_312bp database: 1/ Extraction of the 312bp rbcL barcode from the full Rsyst::diatom database rbcL alignment (using Diat_rbcL_108F and R3 primers). 2/ Sequences with ambiguities (N), homopolymers > 8 and length < 312bp are rem...
LandmarkH2020 Dataverse(INRA - Institut National de la Recherche Agronomique)
LandmarkH2020 Dataverse logo
Feb 15, 2018Infosol Dataverse
DATA COLLATION AND HARMONISATION Lead partners : SZIU Participants : INRA with the support of WUR2, JSI-MPS, TEAGASC, UCPH, JRC, WUR1, RIVM, ULSTER, UA, AGES, ETHZ, CLUJ, PARMA, US DESCRIPTION OF WORK Objectives Define the data requirements of WP3 understanding soil functions and...
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