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1 to 10 of 42 Results
May 29, 2020 - Experimental - Observation - Simulation Dataverse
Bénard, Camille; Biais, Benoit; Ballias, Patricia; Beauvoit, Bertrand; Bernillon, Stéphane; Cabasson, Cécile; Colombié, Sophie; Deborde, Catherine; Gaillard, Pierre; Génard, Michel; Gibon, Yves; Jacob, Daniel; Maucourt, Mickael; Moing, Annick; Vercambre, Gilles, 2018, "FRIM - Fruit Integrative Modelling", https://doi.org/10.15454/95JUTK, Portail Data INRAE, V4
The project aimed to build a virtual tomato fruit that enables the prediction of metabolite levels given genetic and environmental inputs, by an iterative process between laboratories which combine expertise in fruit biology, ecophysiology, theoretical and experimental biochemist...
May 25, 2020
Rimet, Frederic; Chonova, Teofana; Gassiole, Gilles; Gusev, Evgenuy; Kahlert, Maria; Keck, François; Kelly, Martyn; Kulikovskiy, Maxim; Maltsev, Yevhen; Mann, David; Pfannkuchen, Martin; Trobajo, Rosa; Vasselon, Valentin; Wetzel, Carlos; Zimmermann, Jonas; Bouchez, Agnès, 2018, "Diat.barcode, an open-access barcode library for diatoms", https://doi.org/10.15454/TOMBYZ, Portail Data INRAE, V7
Diatoms (Bacillariophyta) are ubiquitous microalgae which produce a siliceous exoskeleton and which make a major contribution to the productivity of oceans and freshwaters. They display a huge diversity, which makes them excellent ecological indicators of aquatic ecosystems, and...
May 20, 2020 - Experimental - Observation - Simulation Dataverse
Mészáros, Éva; Pistocchi, Chiara; Frossard, Emmanuel; Buenemann, Else K; Tamburini, Federica, 2020, "Changes of fungal and bacterial community composition of forest organic horizons with low and high phosphorus availability", https://doi.org/10.15454/XOFCHY, Portail Data INRAE, V1
This dataset describes the microbial community compostion of two organic horizons from temperate beech forest (Germany). A three-months laboratory incubation experiment with litter addition was set up to assess how P derived from beech litter changed the structure of total microb...
May 12, 2020
Rocha Tartaglia, Natayme, 2020, "Extracellular vesicles produced by human and animal Staphylococcus aureus strains share a highly conserved core proteome", https://doi.org/10.15454/SMFFWK, Portail Data INRAE, V1
The Extracellular Vesicle (EV) proteomes of five Staphylococcus aureus (S. aureus) strains originating from human, bovine, and ovine hosts were characterised thanks to proteomics. EVs were purified from supernatants of early stationary S. aureus cultures by a sucrose density grad...
May 4, 2020
Jardin, Julien, 2020, "Data from: Extracellular vesicles produced by the probiotic Propionibacterium freudenreichii CIRM-BIA 129 mitigate inflammation by modulating the NF-κB pathway", https://doi.org/10.15454/Q6PPXY, Portail Data INRAE, V1
Extracellular vesicles (EVs) are nanometric spherical structures implicated in intercellular communication, whose occurrence is considered a general occurring-phenomenon in living organisms. Bacterial EVs have been associated to several processes, including survival, competition,...
Apr 28, 2020 - Experimental - Observation - Simulation Dataverse
Lebert, Isabelle; Agoulon, Albert; Bastian, Suzanne; Butet, Alain; Cargnelutti, Bruno; Cèbe, Nicolas; Chastagner, Amélie; Léger, Elsa; Lourtet, Bruno; Masseglia, Sébastien; McCoy, Karen; Merlet, Joël; Noël, Valérie; Perez, Grégoire; Picot, Denis; Pion, Angélique; Poux, Valérie; Rames, Jean-Luc; Rantier, Yann; Verheyden, Hélène; Vourc'h, Gwenaël; Plantard, Olivier, 2020, "Distribution of ticks, tick-borne pathogens and the associated local environmental factors, including small mammals and livestock, in two French agricultural sites: the OSCAR database", https://doi.org/10.15454/93LPP7, Portail Data INRAE, V1, UNF:6:InoQeOYCtAv/EB84rBlFIw== [fileUNF]
The data investigated the distribution of ticks and their potential pathogens in two agricultural zones in north-western and south-western France, as well as the distributions of the principal domestic and wild hosts (small mammals), along a gradient of wooded habitats from fores...
Apr 6, 2020 - UR SOLS
Pasquier, Catherine; Ayzac, Adeline; Carozzi, Marco; Giot, Guillaume; Goubard-Delaunay Yolaine; Moinard, Victor; Savoie, Antoine, 2019, "Metametha dataset", https://doi.org/10.15454/5MOZKJ, Portail Data INRAE, V2, UNF:6:E4YS2BXkFYIqsJNFBh4KOg== [fileUNF]
Comparison of N fluxes (N20, NH3, NO3 …) between 5 fertilization managements : livestock effluents, digestates and mineral nitrogen. This dataset was collected in part of Metametha project, funded by ADEME. During three years (2017,2019 and 2019) measurements were made in soil, w...
Apr 1, 2020 - Experimental - Observation - Simulation Dataverse
Laurent, Benoit, 2020, "A richer community of Botryosphaeriaceae within a less diverse community of fungal endophytes in grapevines than in adjacent forest trees revealed by a mixed metabarcoding strategy.", https://doi.org/10.15454/JEOT4O, Portail Data INRAE, V1, UNF:6:iSW/6jVVjeRvjMhu7p/7iw== [fileUNF]
Botryosphaeriaceae are a diverse group of endophytic fungi colonizing the inner tissue of many woody species. As opportunist pathogens, they have been increasingly involved in diebacks worldwide. Nonetheless, the diversity of Botryosphaeriaceae, especially in asymptomatic plants,...
Mar 20, 2020 - UEFP Dataverse
Meredieu, Céline; Severin, Laurent; Denou, Jean-Luc; Bernier, Frédéric, 2020, "Diameter and height data of Birch (Betula pendula) and Maritime pine (Pinus pinaster) from two experimental networks to calibrate the FORCEEPS gap model", https://doi.org/10.15454/QMZJKU, Portail Data INRAE, V1, UNF:6:HYZBtfnnd1SZAwqtsxn4nQ== [fileUNF]
Données de diamètre et de hauteurs de Bouleau et de Pin issues de deux réseaux expérimentaux en vue de calibrer le modèle de trouée FORCEEPS
Mar 11, 2020 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Michéli, Erika; Csorba, Adam; Szergi, Tamás; Vadnai, Peter; Dobos, Endre; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Chenu, Jean-Philippe; Creamer, Rachel, 2020, "Compilation of diagnostic horizons data", https://doi.org/10.15454/FIUWGQ, Portail Data INRAE, V1, UNF:6:2rdG5IEFLBb+NQVA6RgIjw== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The database was developed by using a decision tree based script which determines the presence or absence of selected WRB diagnostic units (horizons, properties and materials) based on...
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