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1 to 10 of 79 Results
Nov 30, 2018 - UE Epoisses Dataverse
Girot, Ghislain; Seger, Maud, 2018, "Analyses physico-chimiques", https://doi.org/10.15454/T0HGTY, Portail Data INRAE, V1, UNF:6:CA7N9N1EfcHQzNakCzfilQ== [fileUNF]
Cette table comprend les résultats des analyses physico-chimiques réalisées sur les échantillons prélevés sur les horizons décrits sur les profils pédologiques de l'Unité Expérimentale d'Epoisses. Plusieurs types d’analyses ont été réalisées : le carbone (C, NF ISO 10694) et l’az...
Mar 8, 2019 - Multi Criteria Assessment Methods
Bockstaller, Christian; van der Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in Environment and Agronomy : the French National Institute for Agricultural Research (INRA-EA) experience", https://doi.org/10.15454/RSFBTX, 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 belonging to the Environment and Agronomy department.
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.
Jul 24, 2020 - IGCS Dataverse
Richer De Forges, Anne, 2020, "Base de données du Référentiel Régional Pédologique du département de la Gironde à 1/250 000.", https://doi.org/10.15454/6BX5D7, Portail Data INRAE, V1
Richer-de-Forges A.C. (2014) Base de données du Référentiel Régional Pédologique du département de la Gironde à 1/250 000, en format DoneSol3.4. INRA InfoSol.
Oct 10, 2018 - BDGSF Dataverse
INRA, 2018, "Base de Données Géographique des Sols de France à 1/1 000 000 version 3.2.8.0, 10/09/1998", https://doi.org/10.15454/BPN57S, Portail Data INRAE, V1, UNF:6:CZ5MUg5ncyO8Bu+SHAWk9w== [fileUNF]
The Soil Geographical Data Base of France at Scale 1:1,000,000 is part of the European Soil Geographical Data Base of Europe. It is the resulting product of a collaborative project involving all the European Union and neighbouring countries. It is a simplified representation of t...
Jul 29, 2020 - LandmarkH2020 Dataverse
Vrebos Dirk; Schulte, Rogier; Jones, Arwyn; Staes, Jan; O’Sullivan, Lilian; Lugato, Emanuele; Schröder, Jaap; Meire, Patrick, 2020, "Bayesian networks to evaluate soil functions of agricultural land in Europe", https://doi.org/10.15454/YA4OSH, Portail Data INRAE, V1
This dataset is part of both deliverable 4.2 and 4.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the Bayesian networks for the following crops: Barley Silage maize Grain maize Intensive grasslands - hay Intensive grasslands - grazed Extensive grass...
BDGSF Dataverse(INRA - Institut National de la Recherche Agronomique)
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Oct 10, 2018GisSol Dataverse
This dataverse is gathering the data produced with the Soil Geographical Data Base for France at 1:1,000,000 (SGDBF) Ce dataverse rassemble les données produites à partir de la Base de Données Géographique des Sols de France à 1/1 000 000
Nov 11, 2019
Mougin, Christian, 2018, "Biochem-Env: a platform of biochemistry for research in environmental and agricultural sciences", https://doi.org/10.15454/HA6V6Y, Portail Data INRAE, V2
Biochemical indicators are potent tools to assess ecosystem functioning under anthropic and global pressures. Nevertheless, additional work is needed to improve the methods used for the measurement of these indicators, and for a more relevant interpretation of the obtained result...
Nov 7, 2019
BARANGER, Alain; PILET-NAYEL, Marie-Laure; MILLOT, Dominique; CABANAC, Guillaume, 2019, "Biotic Stress and Grain-Legumes WoS DataSet 1980-2018", https://doi.org/10.15454/L79X2K, Portail Data INRAE, V2, UNF:6:aCFR2KU+VILUcbgyI9eesw== [fileUNF]
The text file corresponds to the search query capturing the main biotic stress research theme on grain-legumes (both soya and pulses, see Species Grain-Legumes WoS dataset) to be applied on the WoS (Web of Knowledge). This search query is restricted to the main types of scientifi...
May 14, 2019
Mougin, Christian, 2018, "BRC4Env, the Biological Resource Centre for the Environment", https://doi.org/10.15454/TRBJTB, Portail Data INRAE, V2
BRC4Env, the network of Biological Resource Centres for the Environment, aims at storing and providing environmental resources (biological material and associated data), in a secure way and an optimal traceability. BRC4Env supports both fundamental and applied research based on a...
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