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1 to 10 of 40 Results
Jan 22, 2021 - HYCAR
Piazzi, Gaia; Delaigue, Olivier, 2021, "airGRdatassim: Ensemble-Based Data Assimilation in GR Hydrological Models. R package version 0.1.3.", https://doi.org/10.15454/WEYYVZ, Portail Data INRAE, V1
Add-on to the 'airGR' package which provides the tools to assimilate observed discharges in daily GR hydrological model. The package consists in two functions allowing to perform the assimilation of observed discharges via Ensemble Kalman filter or Particle filter.
Jan 23, 2020 - HYCAR
Delaigue, Olivier; Coron, Laurent; Brigode, Pierre, 2020, "airGRteaching: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included). R package version 0.2.9.25.", https://doi.org/10.15454/W0SSKT, Portail Data INRAE, V1
Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed...
Oct 2, 2019 - CIRCASA
Bray A.W.; Kim J.H.; Schrumpf M.; Peacock C.; Banwart S.; Schipper L.; Angers D.; Chirinda N.; Lopes Zinn Y.; Albrecht A.; Kuikman P.; Jouquet P.; Demenois J.; Farrell M.; Fontaine S.; Soussana J.-F.; Kuhnert M.; Milne E.; Taghizadeh-Toosi A.; Cerri C.E.P.; Corbeels M.; Cardinael R.; Alcántara Cervantes V.; Olesen J.E; Batjes N.; Heuvelink G.; Maia S.M.F.; Keesstra S.; Claessens L.; Madari B.E; Verchot L.; Nie W.; Brunelle T.; Moran M.; Frank S.; Bodle R.; Frelih-Larsen A.; Dougill A.; Montanarella L.; Stringer L.; Chenu C.; Hiederer R.; Smith P.; Arias-Navarro C., 2019, "CIRCASA DELIVERABLE D1.3 “The science base of a strategic research agenda - Executive Summary”", https://doi.org/10.15454/YUFPFD, Portail Data INRAE, V1
A summary presenting the challenges for soil carbon sequestration research, hypothesis to be further tested and key research (and innovation) products.
Oct 2, 2019 - CIRCASA
Claessens L.; Frelih-Larsen A.; Ittner S.; Tarpey J.; Olesen J.E.; Graversgaard M.; Madari B.E.; Razafimbelo T.; Kontoboytseva A.; Nciizah A.; Swanepoel C.; Katto C.; Verchot L.; Baldock J.; Gundry M.; Hongmin D.; Li Y.; McNeill S.; Arias-Navarro C.; Soussana J.-F., 2019, "CIRCASA DELIVERABLE D2.2: “Assessing barriers and solutions to the implementation of SOC sequestration options”", https://doi.org/10.15454/SYP4PE, Portail Data INRAE, V1
Report on the key barriers and solutions for the implementation of SOC sequestration options across different geographic zones and what knowledge gaps need to be filled to overcome barriers.
Jun 12, 2020 - CIRCASA
Frelih-Larsen A.; Ittner, S; Herb, I; Tarpey, J; Olesen, E.J.; Graversgaard, M.; Claessens, L.; Emoke Madari, B.; Razafimbelo, T.; Kontoboytseva, A.; Nciizah, A.; Swanepoel, C.; Katto, C.; Verchot, L.; Baldock, J.; Grundy, M.; Hongmin, D.; Li, Y.; McNeill, S.; Arias-Navarro, C.; Soussana, J., -F., 2020, "CIRCASA DELIVERABLE D2.3: “Synthesis report on knowledge demands and needs of stakeholders”", https://doi.org/10.15454/Q0XVVD, Portail Data INRAE, V2
In this report, we examine knowledge gaps identified by stakeholders. In this way, the find-ings support the creation of an international strategic research agenda for SOC, a central envisioned outcome of the CIRCASA project.
Sep 20, 2018 - Experimental - Observation - Simulation Dataverse
Marchand, Frederic; Aymes, Jean-Christophe; Gueraud, François; Domaizon, Isabelle; Goulon, Chloé; Hamelet, Valérie; Lange, Frédéric; Prevost, Etienne; Baglinière, Jean-Luc; Beaulaton, Laurent; Penil, Caroline; Josset, Quentin; Flesselle, Aurélie; Starck, Agnès; Jeannot, Nicolas; Herrard, Nadine; Martignon, Mélanie; Azam, Didier, 2018, "Colisa, the collection of ichthyological samples.", https://doi.org/10.15454/D3ODJM, Portail Data INRAE, V1
The collection of ichthyological samples, Colisa, results from the merging of historical samples collected by 3 INRA units (U3E in Rennes, ECOBIOP in Saint Pée sur Nivelle and CARRTEL in Thonon les Bains) and AFB-INRA Pole Gest’Aqua. These samples come from long term monitoring a...
Nov 25, 2020 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Labonne, Jacques; Folio, Dorinda; Caudron, Arnaud; Gil, Jordi, 2020, "Data and Jags code for Folio et al. : Genotype by environment interaction drives the maintenance of genetic variation in a brown trout hybrid zone.", https://doi.org/10.15454/KB0NL3, Portail Data INRAE, V1
This dataset contains data and code regarding a manuscript submitted to Evolutionary Applications: "Genotype by environment interaction drives the maintenance of genetic variation in a brown trout hybrid zone. ". These data describe the parental traits of brown trout used in a fe...
Jul 10, 2020
Galland, Victor; Avadí, Angel; Bockstaller, Christian; Paillat, Jean-Marie, 2020, "Data to inform the modelling of direct nitrogen field emissions from global agriculture", https://doi.org/10.15454/RM6TYY, Portail Data INRAE, V1
To inform the parameterisation of the Indigo-N v.3 nitrogen direct field emissions estimation model, published as “Indigo-N v.3, a semi-mechanistic operational model for direct field N emissions in LCA of cropping systems under contrasting agricultural situations” [1], we compile...
May 18, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia; Alizoti, Paraskevi; Aravanopoulos, Filippos A.; Bastias, Cristina C.; Benavides, Raquel; Carvalho, Bárbara; Cavers, Stephen; Dauphin, Benjamin; Fonti, Patrick; Gray, Alan; Grefen, Claudio; Gugerli, Felix; Heer, Katrin; Knutzen, Florian; López-Quiroga, David; Martínez-Sancho, Elisabet; Mas, Antonio; Morganti, Sandro; Myking, Tor; Opgenoorth, Lars; Rellstab, Christian; Slámová, Lenka; Valladares, Fernando; von Arx, Georg; Fady, Bruno, 2021, "Ecological and phenotypic trait dataset for 12 European forest tree species from H2020 project GenTree", https://doi.org/10.15454/DOWA7X, Portail Data INRAE, V1, UNF:6:YaEhkqcEubFJ28/9EeO/Hg== [fileUNF]
GenTree is a European Union project financed under the Horizon 2020 framework. The goal of GenTree was to improve the status and use of European in-situ and ex-situ forest genetic resource (FGR) collections, support acquisition, conservation, characterization, evaluation and use...
Etude 4pour1000 Stocker du carbone dans les sols français : quel potentiel au regard de l’objectif 4 pour 1000 et à quel coût ? Dataverse(INRAE - Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Feb 17, 2021Direction de l’expertise scientifique collective, de la prospective et des études Dataverse
A la demande de l’ADEME et du Ministère de l’Agriculture et de l’Alimentation, l’INRA a conduit une étude, centrée sur la France métropolitaine, visant à estimer le potentiel de stockage de carbone des sols agricoles et forestiers, en identifiant les pratiques qui permettraient d...
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