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1 to 10 of 22 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 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...
May 19, 2020
Constantin, Julie; Le Bas, Christine; Mignolet, Catherine; Beaudoin, Nicolas; Bertuzzi, Patrick; Dürr, Carolyne; Mary, Bruno; Ruiz, Laurent; Tournebize, Julien; Rechauchère, Olivier; Justes, Eric, 2020, "Réduire les fuites de nitrate au moyen de cultures intermédiaires", https://doi.org/10.15454/3T24RE, Portail Data INRAE, V1, UNF:6:6IIVbcJIwM3NWoBI7osVLA== [fileUNF]
En application de la directive Nitrate et en réponse aux conclusions du Grenelle de l'Environnement, la généralisation de la couverture automnale des sols dans l'ensemble des "zones vulnérables" était prévue pour fin 2012. Il s'agit d'implanter une culture dite "intermédiaire" ap...
Aug 22, 2018 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Van Leeuwen, Jeroen P.; Creamer, R., 2018, "Replication Data for: Gap assessment in current soil monitoring networks across Europe for measuring soil functions", https://doi.org/10.15454/HWRHHX, Portail Data INRAE, V1
This dataset was produced during the Landmark project. We compared in this work a list of attributes to existing national (regional) and EU-wide soil monitoring networks. After establishing the ranked list of attributes we investigated the incorporation of these attributes in exi...
Feb 18, 2020 - Omics Dataverse
Vacher, Corinne, 2020, "R scripts used to infer microbial networks from metabarcoding data and validate them using text-mining", https://doi.org/10.15454/5WD6P6, Portail Data INRAE, V1, UNF:6:LNjhKptvEnA9T2eqRWfBNQ== [fileUNF]
R scripts and datafiles used to infer microbial association networks from metabarcoding data of grapevine foliar samples infected or not by powdery mildew (Erysiphe necator). R script used to search for microbial associations in the Scopus database.
Jan 14, 2021 - Fruit tree phenology
Lanoue, David; Delépine, Anthony; Orain, Gilles; Lemarquand, Arnaud; Didelot, Frédérique; Maquaire, Jocelyn; Hameline, Sylviane, 2020, "Phenological data of 28 apple tree varieties and 4 pear tree varieties in a French orchard of Loire Valley since 2004", https://doi.org/10.15454/D4MJMJ, Portail Data INRAE, V2, UNF:6:QaG+2eDPTC0X1CRfoQSfCw== [fileUNF]
These datasets contain phenological observations on 28 apple varieties or mutants and 4 pear varieties evaluated since 2004. These data come from observations carried out since 2004 on the two sites of the Horticulture Experimental Facility based in the Loire Valley in France. Th...
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...
Sep 4, 2020 - Fruit tree phenology
Alletru, David; Gazel, François; Corradi, Michel; Greil, Marie-Laure; Delmas, Marine, 2020, "Phenological data of 26 varietes of cherry, apricot, peach and apple trees since 2016 in a French orchad of Toulenne, Gironde, France", https://doi.org/10.15454/TJTV6N, Portail Data INRAE, V1, UNF:6:yOKlVPSTtymnP7Vhz1SYvA== [fileUNF]
This dataset contain phenological observations and growth data of 7 cherry, apricot and apple trees varietes and 5 peach trees varietes evaluated since 2016. These data come from observations perform since 2016 on "Les Jarres" estate belonging to the Arboricultural Experimental f...
Jun 14, 2019
Colnenne-David, Caroline; Grandeau, Gilles; Jeuffroy, Marie-Hélène; Doré, Thierry, 2019, "N2O fluxes and soil mineral nitrogen contents - Innovative cropping systems", https://doi.org/10.15454/EVLGRA, Portail Data INRAE, V1, UNF:6:d9oA9KVEaZyBhapZxXcZIQ== [fileUNF]
N2O fluxes and soil mineral nitrogen contents (NH4+ and NO3-) in cropping systems designed to meet both environmental and production goals: a French nitrogen field data set
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