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1 to 10 of 55 Results
Jan 19, 2021 - T_Morvan_UMR SAS dataverse
Morvan, Thierry; Lambert, Yvon; Germain, Philippe; Beff, Laure, 2021, "A dataset from a 3-year network of field measurements of soil organic nitrogen mineralization under a mild oceanic temperate climate", https://doi.org/10.15454/VYEYBK, Portail Data INRAE, V1, UNF:6:3qy4H6xdHpAjTGhKjfiWsA== [fileUNF]
Soil organic nitrogen (SON) mineralization is a function of soil properties, land use and climate, which led to monitor a network of 137 cultivated fields covering the wide diversity of soils, crop rotations and cropping practices throughout Brittany (France). SON mineralization...
Jan 13, 2021 - Dispositifs
Novak, Sandra, 2021, "OasYs_AF", https://doi.org/10.15454/SRBXQ9, Portail Data INRAE, V1
Ici sont rassemblées les descriptions des dispositifs agroforestiers de l’expérimentation système OasYs, mise en œuvre à l’Unité Expérimentale Fourrages, Ruminants et Environnement d’INRAE à Lusignan (UE FERLUS). Here are gathered the descriptions of agroforestry experimental plo...
Jan 11, 2021 - GisSol Dataverse
Saby, Nicolas P.A.; Caubet, Manon; Cornu, Sophie; Meunier, Jean-Dominique; Boulonne, Line; Ratié, Céline; Jolivet, Claudy, 2021, "Données de réplication pour : Agriculture increases the bioavailability of silicon, a beneficial element for crop, in temperate soils", https://doi.org/10.15454/CFWBAA, Portail Data INRAE, V1, UNF:6:NbkGfsnGF/EsOzNowOYalA== [fileUNF]
These data concern the study 'Agriculture increases the bioavailability of Silicon, a beneficial element for crop, in temperate soils' published in nature communication. This work was performed in the frame of the French ANR BioSiSol project (ANR-14-CE01-0002) and is based on dat...
Nov 26, 2020 - GisSol Dataverse
Saby, Nicolas P.A.; Lemercier, Blandine; Arrouays, Dominique; Walter, Christian; Gouny, Laetitia; Swidersky, Chloé; Toutain, Benoît; Bispo, Antonio, 2019, "Statistiques spatio-temporelles sur les propriétés agronomiques des sols agricoles en France issues de la Base de Données d'Analyses de Terre (BDAT)", https://doi.org/10.15454/SVDTOU, Portail Data INRAE, V3, UNF:6:SIZoeWPXnrTjOmmku4l4Jg== [fileUNF]
In France, farmers commission about 250,000 soil-testing analyses per year to assist them managing soil fertility. The number and diversity of origin of the samples make these analyses an interesting and original information source regarding cultivated topsoil variability. Moreov...
Oct 26, 2020 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Chenu, Jean-Philippe; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Creamer, R., 2020, "French RMQS soil profile and monitoring dataset with related management practices data", https://doi.org/10.15454/AIQ9WS, Portail Data INRAE, V1, UNF:6:HfeFeHIMAWpeh4m/FkViWw== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. 2 tables provided by France are available: One table of fact-gathering the results of the chemical and physical analyses of the soil profiles and monitoring. One table of fact-gathering...
Oct 5, 2020 - GisSol Dataverse
Saby, Nicolas; Bertouy, Benoit; Boulonne, Line; Bispo, Antonio; Ratié, Céline; Jolivet, Claudy, 2019, "Statistiques sommaires issues du RMQS sur les données agronomiques et en éléments traces des sols français de 0 à 50 cm", https://doi.org/10.15454/BNCXYB, Portail Data INRAE, V5
Ce jeu de données fournit des statistiques sommaires sur les concentrations en éléments traces et propriétés pédologiques issues des résulats d'analyses du RMQS pour deux profondeurs. Le réseau RMQS repose sur le suivi de 2200 sites répartis uniformément sur le territoire françai...
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...
Jul 24, 2020 - IGCS Dataverse
Richer De Forges, Anne, 2020, "Données surfaciques du Référentiel Régional Pédologique de la carte des pédopaysages du département des Landes en format DoneSol.", https://doi.org/10.15454/S0DRR1, Portail Data INRAE, V1
Richer-de-Forges A.C. (2013) Base de données du Référentiel Régional Pédologique du département des Landes à 1/250 000, en format DoneSol3.4. INRA InfoSol.
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.
Jul 24, 2020 - IGCS Dataverse
Richer De Forges, Anne, 2020, "Données surfaciques du Référentiel Régional Pédologique de la carte des pédopaysages du Loiret en format DoneSol. (2008-11-01)", https://doi.org/10.15454/1U255W, Portail Data INRAE, V1
Données surfaciques du Référentiel Régional Pédologique de la carte des pédopaysages du Loiret en format DoneSol.
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