Skip to main content
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find
Advanced Search

1 to 10 of 32 Results
Jun 4, 2021 - 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, V2
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...
Jun 4, 2021 - 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, V3
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...
Jun 4, 2021 - 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, V3
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....
Jun 4, 2021 - 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, V3
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...
Jun 4, 2021 - 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, V3
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...
Jun 4, 2021 - 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, V3
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...
May 31, 2021
Nitschelm, Laure; Flipo, Blanche; Auberger, Julie; Chambaut, Hélène; Dauguet, Sylvie; Espagnol, Sandrine; Gac, Armelle; Le Gall, Cécile; Malnoé, Caroline; Perrin, Aurélie; Ponchant, Paul; Renaud-Gentié, Christel; Tailleur, Aurélie; van der Werf, Hayo M.G., 2020, "Life cycle assessment data of French agricultural organic products", https://doi.org/10.15454/TTR25S, Portail Data INRAE, V2
This data were created during the research project ACV Bio, funded by the French agency for ecological transition (ADEME), and the French ministry for ecological transition. Its main objective was the production of Life Cycle Inventory (LCI) and Life Cycle Assessement (LCA) data...
Apr 1, 2021
Morel, Kevin, 2021, "Data and R script to simulate economic viability of organic vegetable microfarms", https://doi.org/10.15454/TYXLDU, Portail Data INRAE, V1, UNF:6:WSCj42/qmkkIFTFMfN8YBg== [fileUNF]
Microfarms have been characteristed by Morel and Léger (2016) as commercial farms that meet the following four criteria: (1) soil-based market gardening is the main income generating activity (excludes roof-top gardening, although part of the cultivated acreage can be protected u...
Mar 25, 2021 - Caractérisation Agroécologique de prairies permanentes
Theau, Jean Pierre; Prud'homme, François, 2021, "Calcul d'indicateurs agroécologiques", https://doi.org/10.15454/ADCQHT, Portail Data INRAE, V1, UNF:6:rMOc930xYRS/nZumlTLcWg== [fileUNF]
Ce dataset se compose de trois fichiers : "FlorealData" qui est une base de données qui regroupe 768 espèces prairiales de Midi Pyrénées avec leurs attributs issus de la phytosociologie et de l’écologie d’une part et d’une approche fonctionnelle des végétations pour l’agronomie d...
Jan 15, 2021 - Fruit tree phenology
Lanoue, David; Delépine, Anthony; Orain, Gilles; Lemarquand, Arnaud; Didelot, Frédérique, 2020, "Phenological data of 26 varieties of apple, apricot, cherry trees and peach trees in a French orchard of Loire Valley since 2016", https://doi.org/10.15454/SCTMIU, Portail Data INRAE, V3, UNF:6:4T2gNqOfSaaiDZo2PP5yWQ== [fileUNF]
These datasets contain phenological observations on 7 apple, apricot, cherry varieties or mutants and 5 peach varieties evaluated since 2016. These data come from observations carried out since 2016 on the "La Rétuzière" estate belonging to the Horticulture Experimental Facility...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Portail Data INRAE Support

Portail Data INRAE Support

Please fill this out to prove you are not a robot.

+ =