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1 to 10 of 26 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 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
Verbos, Dick; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot, Marie; Debernardini, Mariana; O’Sullivan, Lilian, 2019, "Science for policy 7: Don’t get bogged down: managing organic soils to mitigate climate change – datasets.", https://doi.org/10.15454/C1QTH2, Portail Data INRAE, V2
This dataset is part of Deliverable 4.2, 4.3 and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO7_OrganicSoils_CO2Equivalent.shp PO7_OrganicSoils_CH4.shp PO7_OrganicSoils_N2O.shp PO7_OrganicSoils_CO2.shp The shapefiles give...
May 18, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia; Alizoti, Paraskevi; Aravanopoulos, Filippos A.; Bastias, Cristina C.; Benavides, Raquel; Carvalho, Bárbara; Cavers, Stephen; Dauphin, Benjamin; Fonti, Patrick; Gray, Alan; Grefen, Claudio; Gugerli, Felix; Heer, Katrin; Knutzen, Florian; López-Quiroga, David; Martínez-Sancho, Elisabet; Mas, Antonio; Morganti, Sandro; Myking, Tor; Opgenoorth, Lars; Rellstab, Christian; Slámová, Lenka; Valladares, Fernando; von Arx, Georg; Fady, Bruno, 2021, "Ecological and phenotypic trait dataset for 12 European forest tree species from H2020 project GenTree", https://doi.org/10.15454/DOWA7X, Portail Data INRAE, V1, UNF:6:YaEhkqcEubFJ28/9EeO/Hg== [fileUNF]
GenTree is a European Union project financed under the Horizon 2020 framework. The goal of GenTree was to improve the status and use of European in-situ and ex-situ forest genetic resource (FGR) collections, support acquisition, conservation, characterization, evaluation and use...
May 17, 2021 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Lange, Frederic, 2021, "Températures Aquapôle INRAE", https://doi.org/10.15454/8IL3LJ, Portail Data INRAE, V2
Petit fleuve côtier de 39 km de long, la Nivelle est une rivière à migrateurs (saumon, alose, truites de mer) et ses populations sont suivies depuis le début des années 80. Ce Dataset présente un classeur Excel qui décrit les relevés de températures qui sont effectués quotidienne...
Mar 31, 2021
Bellassen, Valentin; Arfini, Filippo; Antonioli, Federico; Bodini, Antonio; Boehm, Michael; Brečić, Ružica; Chiussi, Sara; Csillag, Peter; Donati, Michele; Dries, Liesbeth; Drut, Marion; Duboys de Labarre, Matthieu; Ferrer-Pérez, Hugo; Filipović, Jelena; Gauvrit, Lisa; Gil, José M.; Gorton, Matthew; Hoàng, Viet; Hilal, Mohamed; Knutsen Steinnes, Kamilla; Lilavanichakul, Apichaya; Malak-Rawlikowska, Agata; Majewski, Edward; Monier-Dilhan, Sylvette; Muller, Paul; Napasintuwong, Orachos; Nikolaou, Kalliroi; Nguyen, Mai; Nguyễn Quỳnh, An; Papadopoulos, Ioannis; Peerlings, Jack; Poméon, Thomas; Tocco, Barbara; Török, Aron; Ristic, Bojan; Schaer, Burkhard; Stojanovic, Zaklina; Tomic Maksan, Marina; Veneziani, Mario; Vitterso, Gunnar, 2021, "Sustainability performance of certified and non-certified food", https://doi.org/10.15454/OP51SJ, Portail Data INRAE, V1, UNF:6:9VnjVMGT5pX+Euidf4+plw== [fileUNF]
This dataset contains: - 24 indicators of economic, environmental and social performance, estimated for 26 certified food value chains and their 26 conventional reference products. The indicators are estimated at different levels of the value chain: farm level, processing level a...
Mar 12, 2021 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Lange, Frederic, 2021, "Résultats expérimentation ORE Capsules", https://doi.org/10.15454/9QB9U0, Portail Data INRAE, V1
Petit fleuve côtier de 39 km de long, la Nivelle est une rivière à migrateurs (saumons, aloses et truites). Bien présente sur la rivière, la truite sous ses deux écotypes (mer et rivière) est une espèce endémique et emblématique qui est un bon indicateur de la qualité des cours d...
Mar 11, 2021 - Unité expérimentale d’écologie et d’écotoxicologie aquatique
Jeannot, Nicolas, 2020, "The data rainfall at the level of the trap of mill of princes on Scorff river (Morbihan - France)", https://doi.org/10.15454/TP7DE1, Portail Data INRAE, V5
The data rainfall at the level of the trap of mill of princes on Scorff river collected for the Environmental Research Observatory (ERO) on Diadromous Fish in Coastal rivers (DiaPFC). ORE DiaPFC is a research infrastructure focused on studying the evolution of diadromous fish pop...
Jan 19, 2021
Gay, Laurene, 2020, "Medicago truncatula flowering time data from: Evolution of flowering time in a selfing annual plant - Roles of adaptation and genetic drift", https://doi.org/10.15454/ZY83BE, Portail Data INRAE, V3, UNF:6:lq8IWDHWtTyKiDh07aSTRg== [fileUNF]
Phenotypic and genetic dataset for a population of Medicago truncatula located in Cape Corsica (CO3), analysed in "Evolution of flowering time in a selfing annual plant: Roles of adaptation and genetic drift". The readme file summarizes the different datasets available.
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...
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