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1 to 10 of 10 Results
Jun 25, 2021 - LandmarkH2020 Dataverse
Gay, Laura; Saby, Nicolas P.A.; Michaud, Aurélia; Montenach, Denis; Resseguier Camille; Houot, Sabine; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Creamer, R., 2019, "French SOERE soil monitoring dataset with related management practices data", https://doi.org/10.15454/JTVE46, Portail Data INRAE, V2, UNF:6:4fuhkc5sprmnC1TL9wTMag== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The SOERE PRO is a French research observatory on organic residues recycling in agriculture. It is a network of long-term field experiments, including QualiAgro and PROspective devices,...
Jun 16, 2021 - Surveys & Texts Dataverse
Derrouch, Damien; Chauvel, Bruno; Dessaint, Fabrice, 2021, "Le semis direct sous couvert : pratiques culturales et problèmes malherbologiques. Enquête nationale auprès des agriculteurs.", https://doi.org/10.15454/UDMKHL, Portail Data INRAE, V1, UNF:6:dquFWfXb4ZrywSPkk4u6zA== [fileUNF]
The data presented in this document represent the responses to an online questionnaire broadcast in France between November 2018 and March 2019. The questionnaire was aimed at farmers in the French territory who were using direct seeding under cover (SDSC) or who had experience w...
Jun 16, 2021 - FooSIN Dataverse
Cocaud, Sylvie; Grenier, Anne-Sophie; L'Hostis, Dominique, 2021, "Données d'enquête sur les formations en relation avec les principes FAIR", https://doi.org/10.15454/BP9PBL, Portail Data INRAE, V1, UNF:6:SR5L95I75iAF2QxZAFgCHw== [fileUNF]
Données issues d'un questionnaire d’enquête rédigé et diffusé à l’ensemble des partenaires du projet FooSIN pour identifier les formations entièrement dédiées aux principes FAIR, ou intégrées à des formations plus larges, en français ou anglais. L'enquête a été ouverte entre les...
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 5, 2020
Dietz, Lucie, 2020, "Floristic surveys and environmental data of gaps and undisturbed forests", https://doi.org/10.15454/AZNS3A, Portail Data INRAE, V1, UNF:6:E02ad64gqP3FtHhWqCwNfg== [fileUNF]
These data were taken within the framework of the project "Optimisation des travaux sylvicoles post-tempête". Details on the project are available online at https://www6.nancy.inrae.fr/silva/Equipes-de-recherche/ForeSTree/Projets-Recherche/Post-tempete-2017-2020 . The file "data_...
Jan 6, 2020 - Vocabulaires Ouverts
Nédellec, Claire; Marcel, Thierry; Sourdille, Pierre, 2018, "Wheat Trait and Phenotype Ontology", https://doi.org/10.15454/1.4382637738008071E12, Portail Data INRAE, V3
Wheat Trait and Phenotype Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors.
Oct 25, 2019 - Experimental - Observation - Simulation Dataverse
Chat, Joelle; Gueraud, Francois; Coste, Pascale; Aymes, Jean-Christophe; Barracou, David, 2019, "Images d'écailles de truites de mer de l'Adour (FR) / Images of sea trout scales from Adour (EN)", https://doi.org/10.15454/5X8L3X, Portail Data INRAE, V1
Photographies d'écailles collectées sur des truites de mer piégées sur le bassin de l'Adour (Sud-Ouest de la France) durant leur remontée en eau douce. (FR) Photographs of scales collected from sea trout trapped during their upstream migration in the river system of Adour (southw...
Oct 25, 2019 - Experimental - Observation - Simulation Dataverse
Chat, Joelle; Gueraud, Francois; Coste, Pascale; Carlut, Esther; Lange, Frédéric; Aymes, Jean-Christophe; Barracou, David, 2019, "Images d'écailles de truites de mer de la Nivelle (FR) / Images of sea trout scales from Nivelle (EN)", https://doi.org/10.15454/SFE2D7, Portail Data INRAE, V1
Photographies d'écailles collectées sur des truites de mer piégées sur le bassin de la Nivelle (Sud-Ouest de la France) durant leur remontée en eau douce. (FR) Photographs of scales collected from sea trout trapped during their upstream migration in the river system of Nivelle (s...
Jun 17, 2019 - ThaliaDB maize Dataverse
Nicolas, Stephane; Negro, Sandra; Millet, Emilie; Bauland, Cyril; Madur, Delphine; Combes, Valérie; Welcker, Claude; Tardieu, François; Charcosset, Alain, 2019, "DROPS maize GWAS analysis dataset", https://doi.org/10.15454/6TL2N4, Portail Data INRAE, V1
This dataset corresponds to the most significant SNP (-log(p-value)>5) identified by genome-wide association studies between the three traits (Flowering Time, Plant Height, Grain Yield) measured in 22 environments on a panel of 247 maize inbred lines. These analysis were conducte...
Apr 12, 2019 - Experimental - Observation - Simulation Dataverse
Ollitrault, Martine; Delanoë, Richard; Destouches, Jean-Pierre; Huteau, Dominique; Tremblay, Julien; Marchand, Frédéric, 2019, "Physico-chemical parameters of river water in Oir and its tributaries (Manche county - France)", https://doi.org/10.15454/SGO7EU, Portail Data INRAE, V2, UNF:6:FNIb/2X36yQKBXl/Sc2DpA== [fileUNF]
The data consist of physico-chemical parameters of river water in Oir and its tributaries, collected since 2001. The parameters are water temperature (°C), hydrogen potential (pH), conductivity, turbidity, nitrates (NO3-), nitrites (NO2-), ammonium (NH4+) and ortophosphates (PO4...
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