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Dataverse dédié aux données acquises dans le cadre de dispositifs où certains facteurs sont contrôlés ou manipulés (phénotypage, essais agronomiques...), données acquises en milieu naturel ou sur des objets non manipulés (flux au-dessus d’un couvert forestier, variations de potentiel hydrique des plantes...) ou données produites par des expériences de calcul numérique mobilisant un ensemble organisé d’algorithmes et équations.

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11 to 20 of 81,284 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 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...
Jun 4, 2021 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Labonne, Jacques; Tentelier, Cédric; Gauthey, Zoé; Panserat, Stéphane; Heman, Alexandre, 2020, "Life history traits, metabolic status and reproductive success data for brown trout in an experimental channel", https://doi.org/10.15454/LEZZCY, Portail Data INRAE, V2, UNF:6:ymibd91HXxMc9oNs7su/bQ== [fileUNF]
Dataset on brown trout (Salmo trutta) life history, metabolic status and reproductive success used in a control experiment of reproduction, to study the impact of water flow stochasticity on reproductive investment and reproductive success. Experiment A and B1 are under constant...
Jun 4, 2021 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Louise, Chevalier; Francois-Xavier, Dechaume-Moncharmont; Matthias, Galipaud; Jacques, Labonne, 2020, "R language Dynamic game theory code for Chevalier et al. manuscript in American Naturalist.", https://doi.org/10.15454/JHDCQM, Portail Data INRAE, V2
The present dataset includes three main items. The first item is the code of the model used in Chevalier et al. 2020, published in American Naturalist. It can be run in R software as it is. It simulates the dynamics of optimal choosiness in a game where both sexes can select thei...
Jun 4, 2021 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Davidsen, Jan Grimsrud; Eldøy, Sindre Håvarstein; Whoriskey, Frederik; Bordeleau, Xavier; Gaudin, Philippe; Aulus, Lucie; Buoro, Mathieu; Labonne, Jacques, 2020, "Marine and freswater temperature data, Kerguelen Islands.", https://doi.org/10.15454/HNXEOD, Portail Data INRAE, V2
Temperature data obtained during a bio-logging experiment in Kerguelen islands on sea trout (Salmo trutta) from January 2018 to January 2019. Temperatures were obtained using either acoustic receivers equipped for temperature measurement, or directly using VEMCO temperature logge...
Jun 4, 2021 - GisSol Dataverse
Martin, Manuel; Saby, Nicolas; Toutain, Benoît; Chenu, Jean-philippe; Ratié, Céline; Boulonne, Line, 2019, "Statistiques sur les stocks de carbone (0-30 cm) des sols du réseau RMQS", https://doi.org/10.15454/RURZXN, Portail Data INRAE, V2
Les données présentées constituent les statistiques descriptives des stocks de carbone sur 0-30 cm, pour sept grands types d’occupation du sol, sur le territoire métropolitain (Corse inclue), de façon globale et par région administrative. L’estimation des stocks exclut les horizo...
Jun 4, 2021 - GisSol Dataverse
Froger, Claire; Saby, Nicolas; Jolivet, Claudy; Boulonne, Line; Freulon, Xavier; de Fouquet, Chantal; Roussel, Hélène; Marot, Franck; Bispo, Antonio, 2021, "Données de réplication pour : Spatial variations, origins, and risk assessments of polycyclic aromatic hydrocarbons in French soils", https://doi.org/10.15454/WPR2C9, Portail Data INRAE, V1, UNF:6:xQm1bHbFe7ORuKcCMJ37GQ== [fileUNF]
The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over...
Jun 3, 2021 - Biogeco Dataverse
Ehrenmann, Francois, 2021, "Plan de Gestion de Données UMR BIOGECO", https://doi.org/10.15454/XS1RPM, Portail Data INRAE, V2
Plan de gestion des données de l'UMR INRAE BIOGECO Vous pouvez citer le DOI de ce plan comme source, mais l'utilisation de toute partie mise à jour de ce plan n'implique pas que le(s) créateur(s) soutienne(nt) ou ait(nt) un quelconque lien avec votre projet ou votre soumission. C...
Jun 1, 2021 - TEMPO
Ripoche, Cécile; Garcia de Cortazar Atauri, Iñaki, 2021, "Historical Phenology Data from Versailles Research Center, INRAE, TEMPO network", https://doi.org/10.15454/P27LDX, Portail Data INRAE, V1, UNF:6:vBKF4AOZ2nQBMx+WhbEzyw== [fileUNF]
FR Données d'observation de la phénologie de plusieurs plantes (Arbres, arbustes, fruitiers, plantes vivaces...) du centre INRAE de Versailles entre les années 1929 et 1977. Il comprend 9 fichiers dont 3 fichiers de données. Chaque fichier de données phénologiques a 2 fichiers mé...
Jun 1, 2021 - EABX data
Lassalle, Géraldine, 2021, "EuroDiad version 4.0", https://doi.org/10.15454/IVVAIC, Portail Data INRAE, V2, UNF:6:X15FgpfOWssoJvGSg0wyoA== [fileUNF]
Dataset on European diadromous species distributions from 1750 to present time in Europe, North Africa and the Middle East
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...
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