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1 to 9 of 9 Results
May 15, 2020 - Experimental - Observation - Simulation Dataverse
Chabert, Ariane; Marchand, Damien; Sarthou, Jean-Pierre, 2019, "Data from extensive comparative measurements of conventional, conservation and organic agricultures in Southwestern France", https://doi.org/10.15454/KEW1GK, Portail Data INRAE, V4, UNF:6:p5Dluu6TBsiRLpQiObqmOw== [fileUNF]
Observational and experimental data of crop pests, crop pest natural enemies, soil sensitivity to erosion, crop productivity, pathogenic fungal infection and root colonization by mycorrhiza in conventional, conservation and organic agricultures near Toulouse, France.
Apr 6, 2020 - UR SOLS
Pasquier, Catherine; Ayzac, Adeline; Carozzi, Marco; Giot, Guillaume; Goubard-Delaunay Yolaine; Moinard, Victor; Savoie, Antoine, 2019, "Metametha dataset", https://doi.org/10.15454/5MOZKJ, Portail Data INRAE, V2, UNF:6:E4YS2BXkFYIqsJNFBh4KOg== [fileUNF]
Comparison of N fluxes (N20, NH3, NO3 …) between 5 fertilization managements : livestock effluents, digestates and mineral nitrogen. This dataset was collected in part of Metametha project, funded by ADEME. During three years (2017,2019 and 2019) measurements were made in soil, w...
Mar 16, 2020 - LandmarkH2020 Dataverse
Vrebos, Dirk; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot Marie; Debernardini, Mariana; O’Sullivan, Lilian, 2019, "Science for policy 5: Strategic Plans: opportunities to maximise the supply of soil functions but beware trade-offs! – datasets.", https://doi.org/10.15454/IW9CWA, Portail Data INRAE, V2
This dataset is part of Deliverable 4.2, 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO5_Current_SFs_PrimaryProductivity.tiff PO5_Current_SFs_ClimateRegulation.tiff PO5_Current_SFs_WaterRegulation_Drought.tiff...
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...
Nov 5, 2019
VOISIN, Anne-Sophie; JOURNET, Etienne-Pascal; LEISER, Hugues; CABANAC, Guillaume, 2019, "Ecophysiology and Grain-Legumes WoS DataSet 1980-2018", https://doi.org/10.15454/F0CNNS, Portail Data INRAE, V1, UNF:6:IMRDDP4bNCY3/dwDTQpwNA== [fileUNF]
The text file corresponds to the search query capturing the main ecophysiology 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...
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.
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