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1 to 10 of 48 Results
Nov 20, 2020 - Dynafor dataverse
Rivers-Moore, Justine, 2020, "Wild bees of wooded and herbaceous semi-natural habitats", https://doi.org/10.15454/PA6UHY, Portail Data INRAE, V1
The aim was to assess the difference in bee communities in three types of wooded and herbaceous habitats (permanent grassland,hedgerow and forest edge). The bees were netted in each of these habitats,in 30 landscapes selected according to a gradient of % of woodland. Wild bees we...
Jun 15, 2020 - Data-OLA Dataverse
Monet, Ghislaine; Barbet, Denis, 2020, "Terms of Use of OLA-IS (Observatory of LAkes - Information System", https://doi.org/10.15454/HHN2GA, Portail Data INRAE, V2
This text, in English, followed by its French version describes the terms of use of the data available in the information system of the lakes observator. The Terms of Use herein apply 1) to the use of data from the Lakes Observatory (OLA) produced and managed by INRAE (laboratory...
Jul 14, 2020 - CBHU
Szentgyorgyi, Akos, 2020, "SWOT analysis of case studies", https://doi.org/10.15454/Y3RPE3, Portail Data INRAE, V1, UNF:6:R6dsIpiUTH8UIqJ0cfgqjQ== [fileUNF]
Tabulated results of the SWOT analysis of case studies
Aug 7, 2020 - PMB Metabolomics
Deborde, Catherine, 2020, "Sunflower xylem sap NMR-based Metabolomics - Low [Cd] exposition", https://doi.org/10.15454/WEIXCP, Portail Data INRAE, V2, UNF:6:SOmZDpj3dVza5NuskRNxzA== [fileUNF]
1D 1H-NMR metabolomic profiling of xylem sap in two sunflower cultivars exposed to low Cd concentrations in hydroponics.
Dec 10, 2020 - Experimental - Observation - Simulation Dataverse
Haug, Benedikt, 2020, "Simulation Code for comparison of uni- and bivariate analysis in mixed cropping experiments", https://doi.org/10.15454/33S25W, Portail Data INRAE, V1, UNF:6:hFfv2zYHlDnBa/66IZEF+A== [fileUNF]
Simulation code for Haug, Benedikt, Monika M. Messmer, Jérôme Enjalbert, Isabelle Goldringer, Emma Forst, Timothée Flutre, Tristan Mary-Huard, and Pierre Hohmann. “Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept”, Manuscript subm...
May 20, 2020
Journaux, Alexandre, 2020, "Sicpa Données Communes", https://doi.org/10.15454/AQFVHU, Portail Data INRAE, V1
L’objectif du projet est de mettre en place un système d’informations qui gère les données communes à tous les systèmes d’informations du Cati Sicpa. Cela permettra d’avoir une gestion cohérente et centralisée de ces données à la fois sur un plan fonctionnel pour les utilisateurs...
Jul 14, 2020 - CBHU
Szentgyorgyi, Akos, 2020, "Results of analysing success and failure factors based on triggers", https://doi.org/10.15454/48IFBQ, Portail Data INRAE, V1
Three characteristic triggers were selected to build business concepts by business model canvas around them. Selected triggers: 1. Avoiding or reducing pollution 2. Environmental awareness and need for sustainable development 3. Market need & opportunity According to NoAW MS24 Mi...
Dec 22, 2020 - SOFIES
VERNIQUET, Anne, 2020, "Regional Business Concepts - Data for mapping of the potential in Europe", https://doi.org/10.15454/TFP78U, Portail Data INRAE, V1, UNF:6:eM/VRMpm7XkSDy8/45EcGQ== [fileUNF]
This dataset contains excel files with the data that have been used to elaborate different figures in deliverable 6.3: - Regional Business Concept for polyphenol extraction from wine pomace and use of residues: mapping of the potential in the main wine producing countries in Euro...
Mar 19, 2020
Montarry, Josselin, 2020, "RawData Gautier-et-al EcolEvol", https://doi.org/10.15454/H1PJ5Q, Portail Data INRAE, V1, UNF:6:oPZU1FfqWPSNOYf2VvFkGg== [fileUNF]
Hatching percentage of each pair of nematode/potato (each line is a replicate)
Jan 12, 2021
Allart, Roland; Ricci, Benoît; Poggi, Sylvain, 2020, "R package alm : Automated Landscape Mapping", https://doi.org/10.15454/AKQW7Y, Portail Data INRAE, V2
R package 'alm' : R code and associated shiny application dedicated to the automated mapping of landscapes. The package 'alm' allows users to select and combine layers of geographical information (shapefiles) to map the land covers of a specified buffer or set of buffers.
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