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Omics Dataverse(www.inrae.fr)
Jan 18, 2018
Jan 18, 2018
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...
Apr 13, 2018
Balesdent, Jerome; Basile-Doelsch, Isabelle; Chadoeuf, Joël; Cornu, Sophie; Derrien, Delphine; Fekiacova, Zuzana; Hatté, Christine, 2018, "Depth distribution of soil carbon age inferred from natural 13C labelling meta-analysis", https://doi.org/10.15454/KMNR6R, Portail Data INRAE, V1
Depth profiles soil organic carbon turnover estimated by the natural 13C labelling technique. Data have been collected from published articles plus original data (meta-analysis). Dataset contains raw primary data, calculated data and ancillary information analysed and generated d...
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...
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...
Mar 8, 2019 - Multi Criteria Assessment Methods
Gésan-Guiziou, Geneviève; Alaphilippe, Aude; Andro, Mathieu; Aubin, Joël; Bockstaller, Christian; Botreau, Raphaëlle; Buche, Patrice; Collet, Catherine; Darmon, Nicole; Delabuis, Monique; Girard, Agnès; Grateau, Régis; Kansou, Kamal; Martinet, Vincent; Membré, Jeanne-Marie; Sabbadin, Régis; Soler, Louis-Georges; Thiollet-Scholtus, Marie; Tonda, Alberto; Van-Der-Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience", https://doi.org/10.15454/WB51LL, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers.
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