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Oct 3, 2018 - Portail Data INRAE
Mondy, Samuel, 2018, "GenoSol platform : A Logistic and Technical Platform for Conserving and Exploring Soil Microbial Diversity.", https://doi.org/10.15454/L7QN45, Portail Data INRAE, V1
The platform "GenoSol" was created by the UMR1347 AGROECOLOGIE at the INRA (French National Institute for Agronomic Research) of Dijon. This platform aimed to provide a logistics and technical structure dedicated to the acquisition, conservation, characterization and supply of ge...
Aug 22, 2018 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Van Leeuwen, Jeroen P.; Creamer, R., 2018, "Replication Data for: Gap assessment in current soil monitoring networks across Europe for measuring soil functions", https://doi.org/10.15454/HWRHHX, Portail Data INRAE, V1
This dataset was produced during the Landmark project. We compared in this work a list of attributes to existing national (regional) and EU-wide soil monitoring networks. After establishing the ranked list of attributes we investigated the incorporation of these attributes in exi...
Jul 18, 2018
Muneret, Lucile; Mitchell Matthew; Seufert, Verena; Aviron, Stéphanie; Djoudi, El Aziz; Pétillon, Julien; Plantegenest, Manuel; Thiéry, Denis; Rusch, Adrien, 2018, "Evidence that organic farming promotes pest control", https://doi.org/10.15454/DV8LMF, Portail Data INRAE, V1
Data sets used to examine the effect of organic farming on pest control potential and pest infestation levels in agrosystems. The article has been published in July 2018 in Nature Sustainability.
GisSol Dataverse(INRA - Institut National de la Recherche Agronomique)
GisSol Dataverse logo
Feb 20, 2018Infosol Dataverse
Ce dataverse rassemble les données produites dans le cadre des projets pilotés par le GIS Sol. This dataverse is gathering the data produced within the projects led by the GIS Sol
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...
Infosol Dataverse(www.inra.fr)
Feb 15, 2018
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