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1 to 10 of 211 Results
Jun 22, 2021 - CARRTEL Dataverse
Bouchez, Agnes; Rimet, Frédéric; Blancher, Philippe; Lefrançois, Estelle, 2021, "Scenarios for the introduction of environmental DNA-based tools in aquatic biomonitoring (SYNAQUA France-Switzerland workshops)", https://doi.org/10.15454/OJJTEY, Portail Data INRAE, V1
The French-Swiss project SYNAQUA (INTERREG France-Switzerland 2017-2019) focuses on the development and the validation of genomic tools for water quality biomonitoring based on diatoms and oligochaetes. As part of the work-package dedicated to stakeholders and public awareness an...
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 11, 2021
Fady, Bruno; Scotti-Saintagne, Caroline, 2021, "Genetic diversity, clustering, demographic inference and ecological information for the analysis of the dataset: "Genotypic data at microsatellite loci of Abies alba (Mill.) in the Pyrenees"", https://doi.org/10.15454/X6ZJU0, Portail Data INRAE, V1, UNF:6:V1Q9q93489m1eHRXxJ/3NA== [fileUNF]
This dataset shows how the genotypic data stored in "Genotypic data at microsatellite loci of Abies alba (Mill.) in the Pyrenees" (https://doi.org/10.15454/HVPAON) was analyzed. The dataset contains which genetic diversity and clustering, demographic inference and ecological corr...
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 5: Strategic Plans: opportunities to maximise the supply of soil functions but beware trade-offs! – datasets.", https://doi.org/10.15454/IW9CWA, Portail Data INRAE, V3
This dataset is part of Deliverable 4.2, 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO5_Current_SFs_PrimaryProductivity.tiff PO5_Current_SFs_ClimateRegulation.tiff PO5_Current_SFs_WaterRegulation_Drought.tiff...
Jun 4, 2021 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Labonne, Jacques; Tentelier, Cédric; Gauthey, Zoé; Panserat, Stéphane; Heman, Alexandre, 2020, "Life history traits, metabolic status and reproductive success data for brown trout in an experimental channel", https://doi.org/10.15454/LEZZCY, Portail Data INRAE, V2, UNF:6:ymibd91HXxMc9oNs7su/bQ== [fileUNF]
Dataset on brown trout (Salmo trutta) life history, metabolic status and reproductive success used in a control experiment of reproduction, to study the impact of water flow stochasticity on reproductive investment and reproductive success. Experiment A and B1 are under constant...
Jun 4, 2021 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Louise, Chevalier; Francois-Xavier, Dechaume-Moncharmont; Matthias, Galipaud; Jacques, Labonne, 2020, "R language Dynamic game theory code for Chevalier et al. manuscript in American Naturalist.", https://doi.org/10.15454/JHDCQM, Portail Data INRAE, V2
The present dataset includes three main items. The first item is the code of the model used in Chevalier et al. 2020, published in American Naturalist. It can be run in R software as it is. It simulates the dynamics of optimal choosiness in a game where both sexes can select thei...
Jun 2, 2021 - AMAP ECOPICS
Cruz-Maldonado, Nereyda, 2021, "Species-level leaf trait data (ECOPICS)", https://doi.org/10.15454/EKGZGV, Portail Data INRAE, V1, UNF:6:ri4jrcPf7JUnIHudsyK/hg== [fileUNF]
Leaf traits for 11 plant species at 11 altitudinal levels at Massif de Belledonne, France
Jun 1, 2021 - TEMPO
Ripoche, Cécile; Garcia de Cortazar Atauri, Iñaki, 2021, "Historical Phenology Data from Versailles Research Center, INRAE, TEMPO network", https://doi.org/10.15454/P27LDX, Portail Data INRAE, V1, UNF:6:vBKF4AOZ2nQBMx+WhbEzyw== [fileUNF]
FR Données d'observation de la phénologie de plusieurs plantes (Arbres, arbustes, fruitiers, plantes vivaces...) du centre INRAE de Versailles entre les années 1929 et 1977. Il comprend 9 fichiers dont 3 fichiers de données. Chaque fichier de données phénologiques a 2 fichiers mé...
Jun 1, 2021 - EABX data
Lassalle, Géraldine, 2021, "EuroDiad version 4.0", https://doi.org/10.15454/IVVAIC, Portail Data INRAE, V2, UNF:6:X15FgpfOWssoJvGSg0wyoA== [fileUNF]
Dataset on European diadromous species distributions from 1750 to present time in Europe, North Africa and the Middle East
May 25, 2021 - URGI Plant and Fungi Dataverse
Ducatillion, Catherine; Lamant, Thierry; Bellanger, Richard; Bouttier, Valentin; Bastien, Jean-Charles; Michotey, Celia; Gautier, Laurent; Fady, Bruno; Musch, Brigitte, 2021, "Survival and growth of 711 forest tree taxa in eight French arboretums from three different climate regions", https://doi.org/10.15454/RGMM07, Portail Data INRAE, V1, UNF:6:lBKwa7PQ98fZg5+qoF1TDg== [fileUNF]
Abstract The dataset is checklist of 711 native and exotic forest tree taxa (species, subspecies and arieties) from 177 genera worldwide, their survival and growth in eight French arboretums from three contrasted bioclimates. Planted between 1969 and 1976, 338 taxa have survived...
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