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Dataverse dédié aux données acquises dans le cadre de dispositifs où certains facteurs sont contrôlés ou manipulés (phénotypage, essais agronomiques...), données acquises en milieu naturel ou sur des objets non manipulés (flux au-dessus d’un couvert forestier, variations de potentiel hydrique des plantes...) ou données produites par des expériences de calcul numérique mobilisant un ensemble organisé d’algorithmes et équations.

Dataverse dedicated to data acquired with some factors being controlled or manipulated (phenotyping, agronomic trials...), data acquired in natural environment or on non-manipulated objects (fluxes over a forest canopy, variations of plant water potential...) or data produced by numerical computation experiments using an organized set of algorithms and equations.

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1 to 10 of 85,816 Results
Jun 11, 2021 - Dynafor dataverse
Desaegher, James; Sheeren, David; Ouin, Annie, 2021, "Data from: Optimising spatial distribution of mass-flowering patches at the landscape scale to increase crop pollination", https://doi.org/10.15454/UNVSGN, Portail Data INRAE, V4, UNF:6:4FZD14zUUBcZFTnOodzqng== [fileUNF]
Implanting new plots of mass-flowering resources in landscapes can have both positive and negative effects on pollinator visitation rates to crops. We investigated the effects of flowering plot characteristics on the best places to locate new co-flowering plots to optimise crop p...
Jun 6, 2021 - AnaEE-France Dataverse
G Simioni, 2021, "Atmospheric climate dataset from Fontblanche in natura site for year 2014", https://doi.org/10.15454/JPLAYA, Portail Data INRAE, V3
The dataset was produced from experimentation(s) from the network SOERE F-ORE-T on the site of Font-Blanche, located in a Mediterranean forest ecosytem in South-East France. Measurements are about the following variables: air relative humidity, air temperature, cumulative rainfal...
application/x-netcdf - 231.9 KB - MD5: 4063bfea952dea41f6789c971111c229
Jun 6, 2021 - AnaEE-France Dataverse
Jean-Marc Limousin; Jean-Marc Ourcival, 2021, "Atmospheric and soil climate dataset from Puéchabon in natura site for year 2014", https://doi.org/10.15454/M2GI65, Portail Data INRAE, V3
The dataset was produced in experimentations from the network SOERE F-ORE-T on the Puechabon experimental site in the Forest Ecosytem during the year 2014. Measurements of the following variables are included: air relative humidity, air temperature, cumulative rainfall, soil temp...
application/x-netcdf - 444.2 KB - MD5: ad3d2860b1425d9d953dbf1023e5ee4d
Jun 4, 2021 - Data-OLA Dataverse
Jenny, Jean-Philippe, 2021, "Time series dataset of dissolved oxygen, water temperature and Secchi depths profiles in Lakes Annecy and Geneva", https://doi.org/10.15454/BUJUSX, Portail Data INRAE, V2, UNF:6:hkPDOIbuPC0b8vcq/xrcOg== [fileUNF]
Data description : Data are in situ profiles of dissolved oxygen concentrations, water temperature, Secchi depths and total phosphorus concentrations recorded in Lakes Geneva and Annecy. The dataset consists in monthly to bi-monthly profiles for the periods 1957 to 2016 and 1966...
Jun 4, 2021 - LandmarkH2020 Dataverse
Vrebos, Dirk; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot, Marie; Debernardini, Mariana; O’Sullivan, Lilian, 2019, "Science for policy 3: Climate change: no winners when it comes to soil functions – datasets.", https://doi.org/10.15454/YCY217, Portail Data INRAE, V2
This dataset is part of both Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO3_RCP26_NoIrrigation.shp PO3_RCP45_Irrigation.shp PO3_RCP45_NoIrrigation.shp PO3_RCP85_Irrigation.shp PO3_RCP85_NoIrrigation.shp Th...
Jun 4, 2021 - LandmarkH2020 Dataverse
Vrebos, Dirk; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot, Marie; Debernardini, Mariana; O’Sullivan, Lilian, 2019, "Science for policy 2: Leaving land alone: soil functions under GAEC 9 – datasets", https://doi.org/10.15454/TTEBWL, Portail Data INRAE, V3
This dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO2_GAEC9_05.shp PO2_GAEC9_10.shp Both shapefiles give an estimation of the change in six soil function performance across th...
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