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1 to 10 of 13 Results
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 6: Urban planning: sealing the future of soil functions - datasets?", https://doi.org/10.15454/2ZQKIR, Portail Data INRAE, V2
This dataset is part of Deliverable and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO6_BAU_NoZoning_50.shp PO6_BAU_NoZoning_100.shp PO6_BAU_Zoning_50.shp PO6_Sprawl_Zoning_50.shp PO6_BAU_NoZoning_50.shp PO6_Compact_Zoning...
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 28, 2019 - 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 4: Manure: spreading the load? – datasets.", https://doi.org/10.15454/OIXOMR, Portail Data INRAE, V2
This dataset is part of Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following tiffs and shapefiles: PO4_35km_Borders.shp PO4_35km_NoBorders.shp PO4_100km_Borders.shp PO4_100km_NoBorders.shp PO4_Max_Borders.shp PO4_Max_NoBorders....
Nov 28, 2019 - 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 3: Climate change: no winners when it comes to soil functions – datasets.", https://doi.org/10.15454/YCY217, Portail Data INRAE, V1
This dataset is part of both Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO3_RCP26_NoIrrigation.shp PO3_RCP45_Irrigation.shp PO3_RCP45_NoIrrigation.shp PO3_RCP85_Irrigation.shp PO3_RCP85_NoIrrigation.shp Th...
Nov 28, 2019 - 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 2: Leaving land alone: soil functions under GAEC 9 – datasets", https://doi.org/10.15454/TTEBWL, Portail Data INRAE, V2
This dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO2_GAEC9_05.shp PO2_GAEC9_10.shp Both shapefiles give an estimation of the change in six soil function performance across th...
Nov 28, 2019 - LandmarkH2020 Dataverse
Vrebos, Dirk; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot, Marie; Debernardini, Mariana; Wall, David; O’Sullivan, Lilian, 2019, "Science for policy 1: FaST hidden benefits: needs based targeting of cleaner water through better use of nutrients - datasets", https://doi.org/10.15454/SRHCUH, Portail Data INRAE, V2
This dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefile: PO1_GAEC5.shp The shapefile gives an estimation of the change in soil function performance across the EU in agricultural soils...
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.
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...
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