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1 to 10 of 6,507 Results
Jun 25, 2021 - GisSol Dataverse
Saby, Nicolas; Villanneau, E; Toutain, B; Arrouays, D., 2018, "Seuils de détection d’anomalies pour une série d'éléments traces métalliques (RMQS)", https://doi.org/10.15454/UEZXBY, Portail Data INRAE, V2
Ce jeu de données rassemble le résultats du calcul d'indice de seuils de détection d’anomalies en ETM dans les sols. Ces seuils correspondent à des vibrisses qui ont été calculées à partir des teneurs en éléments traces du RMQS situées dans un rayon de 50 km autour du point consi...
Jun 25, 2021 - Infosol Dataverse
Chen, Songchao; Martin, Manue, P.; Saby, Nicolas P.A.; Walter, C.; Angers, Denis A.; Arrouays, D., 2018, "Fine resolution map of top- and subsoil carbon sequestration potential in France", https://doi.org/10.15454/OVA9SO, Portail Data INRAE, V2
Although soils have a high potential to offset CO2 emissions through its conversion into soil organic carbon (SOC) with long turnover time, it is widely accepted that there is an upper limit of soil stable C storage, which is referred to SOC saturation. In this study we estimate...
Mar 22, 2020 - Experimental - Observation - Simulation Dataverse
Marchand, Frederic; Delanoë, Richard; Destouches, Jean-Pierre; Tremblay, Julien, 2018, "Water temperature on the Oir river and its tributaries (Manche county - France)", https://doi.org/10.15454/YFY4AQ, Portail Data INRAE, V3
The data consists of Oir river and its tributaries water temperature since 1986 collected for the Environmental Research Observatory (ERO) on Diadromous Fish in Coastal rivers (DiaPFC). ORE DiaPFC is a research infrastructure focused on studying the evolution of diadromous fish p...
Jan 17, 2020 - Vocabulaires Ouverts
Tireau, Anne; Cabrera-Bosquet, Llorenç; Neveu, Pascal, 2018, "Ontology of Experimental Events", https://doi.org/10.15454/APBGKK, Portail Data INRAE, V2
The Ontology of Experimental Events (OEEv), characterises events that occur during an experiment, e.g. dates of sowing, application of a given treatment, harvesting, measurements or sampling for -omic measurements, or any category of technical problem.
Jan 17, 2020 - Vocabulaires Ouverts
Tireau, Anne; Cabrera-Bosquet, Llorenç; Neveu, Pascal, 2018, "Ontology for Experimental Phenotypic Objects", https://doi.org/10.15454/PG4VUH, Portail Data INRAE, V2
The Ontology for Experimental Phenotypic Objects (OEPO), allows assigning types (e.g. Experimental organization and context, Environment type, Germplasm, Physical Object) to objects involved in phenotyping experiments and defining specialization hierarchy between them according t...
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 - GnpIS Dataverse
GnpIS, 2018, "INRA:Maize:FRA0410652", https://doi.org/10.15454/3CU3DI, Portail Data INRAE, V4
Abstract:Mouhoux is a Maize accession from GnpIS.
Dec 20, 2019 - GnpIS Dataverse
GnpIS, 2018, "INRA:Maize:FRA0410634", https://doi.org/10.15454/SXDN3P, Portail Data INRAE, V4
Abstract:Marmande.45 is a Maize accession from GnpIS.
Dec 20, 2019 - GnpIS Dataverse
GnpIS, 2018, "INRA:Maize:FRA0410083", https://doi.org/10.15454/3WVACU, Portail Data INRAE, V4
Abstract:Guchan is a Maize accession from GnpIS.
Dec 20, 2019 - GnpIS Dataverse
GnpIS, 2018, "INRA:Maize:FRA0411380", https://doi.org/10.15454/CA4DMU, Portail Data INRAE, V4
Abstract:GUAD 3 is a Maize accession from GnpIS.
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