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11 to 19 of 19 Results
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...
Feb 26, 2020 - Amélie Girardeau_PhD Dataverse
Girardeau, Amélie, 2020, "Effect of fermentation conditions on the viability and acidification activity of Carnobacterium maltaromaticum CNCM I-3298", https://doi.org/10.15454/XKQGGH, Portail Data INRAE, V1
This dataset concerns the study of the effect of three fermentation parameters (temperature, pH and harvest time) on the viability (cell counts) and acidification activity (CINAC system), of freeze-thawed C. maltaromaticum concentrates.
Jan 30, 2020 - TEMPO
Desfonds, Veronique; Garcia De Cortazar Atauri, Inaki, 2020, "Phenology Data - UMR EMMAH - INRAE - BDD PHETEC", https://doi.org/10.15454/CLYPS4, Portail Data INRAE, V2, UNF:6:MO6pkvotflM9jMn9ClCQXQ== [fileUNF]
Données d'observation de la phénologie de plusieurs cultures (blé, tournesol, maïs, pois et sorgo) de l'UMR EMMAH (Avignon, France). Les données sont issues des parcelles qui n'ont pas été utilisés pour des expérimentations. Les données de phénologie ont plusieurs métadonnées ass...
Jan 21, 2020 - Mechanisms of cell degradation/preservation during stabilisation processes
Fonseca, Fernanda; Meneghel, Julie; Kilbride, Peter; Lieben, Pascale; Passot, Stéphanie, 2020, "Physical properties of aqueous solutions of fructo-oligosaccharides and reference compounds", https://doi.org/10.15454/4RQRIG, Portail Data INRAE, V1
This dataset contain the composition and physical properties of aqueous solutions of fructo-oligosaccharides produced as part of the PREMIUM project, compared to reference solutions currently used to protect bacteria. The physical properties measured are: the glass transition tem...
Oct 21, 2019 - LandmarkH2020 Dataverse
Gay, Laura; Saby, Nicolas P.A.; Michaud, Aurélia; Montenach, Denis; Resseguier Camille; Houot, Sabine; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Creamer, R., 2019, "French SOERE soil monitoring dataset with related management practices data", https://doi.org/10.15454/JTVE46, Portail Data INRAE, V1, UNF:6:CIb0JD8fL+xTaYjf19LEqg== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The SOERE PRO is a French research observatory on organic residues recycling in agriculture. It is a network of long-term field experiments, including QualiAgro and PROspective devices,...
Jul 11, 2019
Gaudin, Valerie; Andrey, Philippe, 2019, "A collection of 3D images of Arabidopsis thaliana cell nuclei", https://doi.org/10.15454/1HSOIE, Portail Data INRAE, V1
This dataset contains >200 images of nuclei from Arabidopsis thaliana plantlets. Nuclei were isolated and DAPI-stained prior to confocal imaging. See reference Andrey et al 2010 below for further details on sample preparation and imaging protocols. Following imaging, the images w...
May 7, 2019
Poulain, Damien; Botran, Lucy; North, Helen; Ralet, Marie-Christine, 2019, "Composition and physicochemical properties of outer mucilage from seeds of Arabidopsis natural accessions", https://doi.org/10.15454/Z4JM4F, Portail Data INRAE, V1, UNF:6:gl+mMVMdCio63QKvR9MNRA== [fileUNF]
This dataset describes six traits for polysaccharides extracted from the outer layer of mucilage of 306 natural accessions and 6 control genotypes from Arabidopsis. The natural accessions were obtained from the Versailles Arabidopsis Stock Center (http://publiclines.inra.fr/natur...
Mar 28, 2019 - UEFP Dataverse
Cheval, Nicolas; Bernier, Frédéric, 2019, "Echelle de notation du débourrement d'espèces forestières", https://doi.org/10.15454/HLQKDJ, Portail Data INRAE, V1, UNF:6:ZJUdWtTdeq718+xcp/XqmQ== [fileUNF]
Cet outil excel associe une échelle de notation phénologique du débourrement des résineux (11 pins + 7 autres résineux) et 14 feuillus. Il s'inspire de l'échelle de notation BBCH et contient une description de chaque stade associé à une photo.
Aug 22, 2018 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Van Leeuwen, Jeroen P.; Creamer, R., 2018, "Replication Data for: Gap assessment in current soil monitoring networks across Europe for measuring soil functions", https://doi.org/10.15454/HWRHHX, Portail Data INRAE, V1
This dataset was produced during the Landmark project. We compared in this work a list of attributes to existing national (regional) and EU-wide soil monitoring networks. After establishing the ranked list of attributes we investigated the incorporation of these attributes in exi...
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