Type: (dataverses OR datasets OR files) Data Origin: survey data Type: (datasets) Kind of Data: Dataset
1 to 10 of 11 Results
Dec 14, 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, V5, UNF:6:HnCWQ0laZLlH2WmLmOFXVw== [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... |
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,... |
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... |