11 to 14 of 14 Results
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... |
Aug 22, 2018 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Van Leeuwen, Jeroen P.; Creamer, R., 2018, "Replication Data for: Gap assessment in current soil monitoring networks across Europe for measuring soil functions", https://doi.org/10.15454/HWRHHX, Portail Data INRAE, V1
This dataset was produced during the Landmark project. We compared in this work a list of attributes to existing national (regional) and EU-wide soil monitoring networks. After establishing the ranked list of attributes we investigated the incorporation of these attributes in exi... |
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. |