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1 to 10 of 14 Results
Nov 19, 2020
Sauvion, Nicolas, 2020, "Compilation of occurrence data for two psyllid species of the Cacopsylla pruni complex (Hemiptera: Psylloidea)", https://doi.org/10.15454/VC9UR5, Portail Data INRAE, V4, UNF:6:TyQ/EqI+52K1FxM4vYnDGw== [fileUNF]
Plant diseases associated with psyllid vectors have spread rapidly and globally among commercially important cultures, causing great economic damage (e.g., on stone fruit trees, citrus, and potatoes). A better understanding of the potential range of the vector and host species is...
Oct 26, 2020 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Chenu, Jean-Philippe; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Creamer, R., 2020, "French RMQS soil profile and monitoring dataset with related management practices data", https://doi.org/10.15454/AIQ9WS, Portail Data INRAE, V1, UNF:6:HfeFeHIMAWpeh4m/FkViWw== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. 2 tables provided by France are available: One table of fact-gathering the results of the chemical and physical analyses of the soil profiles and monitoring. One table of fact-gathering...
Mar 11, 2020 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Michéli, Erika; Csorba, Adam; Szergi, Tamás; Vadnai, Peter; Dobos, Endre; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Chenu, Jean-Philippe; Creamer, Rachel, 2020, "Compilation of diagnostic horizons data", https://doi.org/10.15454/FIUWGQ, Portail Data INRAE, V1, UNF:6:2rdG5IEFLBb+NQVA6RgIjw== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The database was developed by using a decision tree based script which determines the presence or absence of selected WRB diagnostic units (horizons, properties and materials) based on...
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 10, 2020 - Surveys & Texts Dataverse
Salliou, Nicolas; Taillandier, Patrick; Thomopoulos, Rallou, 2019, "VITAMIN project (VegetarIan Transition Argument ModellINg)", https://doi.org/10.15454/HOBUZH, Portail Data INRAE, V2, UNF:6:Qa0Q1CyeNN0LwYsiXyW6OA== [fileUNF]
Data on individual decisions concerning food diet changes towards plant-based diets and their determinants: (1) 145 arguments from the web and grey literature (in English) in file "DEPOSIT_tab_arguments_animal-or-plant-based-diets_anonymized.tab", (2) results of an online survey...
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.
Dec 20, 2019 - Vocabulaires Ouverts
Le Bail, Pierre-Yves; Hue, Isabelle; Joret, Léa; Meunier-Salaün, Marie-Christine; Bugeon, Jérôme; Dameron, Olivier; Fatet, Alice; Hurtaud, Catherine; Nédellec, Claire; Reichstadt, Matthieu; Vernet, Jean, 2018, "Environment Ontology for Livestock", https://doi.org/10.15454/1.469094224299365E12, Portail Data INRAE, V3
The EOL ontology describes environmental conditions of livestock breeding. It includes feeding modalities, the structure of breeding systems and their environment.
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...
Oct 21, 2019 - 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, V1, UNF:6:CIb0JD8fL+xTaYjf19LEqg== [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,...
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