Skip to main content
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find
Advanced Search

41 to 45 of 45 Results
Jun 13, 2019
Le Goff, Noël, 2019, "Above and belowground biomass data for a set of beech trees of different age and crown classes sampled in Hesse state forest (NE France) with a view to analyzing the distribution and the allocation of biomass in the tree", https://doi.org/10.15454/8CLEGO, Portail Data INRAE, V1, UNF:6:HDb+DRUgMjU4MmuN/sKVVA== [fileUNF]
A first set (samples 1 and 2 in the data tables) comprising 23 beech (Fagus sylvatica L.) trees of different crown classes (dominant, co-dominant, intermediate, suppressed), aged 30 in average, was selected and felled in 1996-1997 in a compartment of the state forest of Hesse (NE...
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...
Aug 20, 2018 - GnpIS Dataverse
François-Xavier Oury; Emmanuel Heumez; Bernard Rolland; Jérôme Auzanneau; Pierre Bérard; Maryse Brancourt-Hulmel; Xavier Charrier; Hubert Chiron; Camille Depatureaux; Laurent Falchetto; Olivier Gardet; Stéphane Gilles; Alex Giraud; Christophe Lecomte; Jean-Yves Morlais; Pierre Pluchard; Didier Tropée; Maxime Trottet; Patrice Walczak; Gérard Doussinault; Michel Rousset; Gilles Charmet, 2018, "Winter wheat (Triticum aestivum L) phenotypic data from the multiannual, multilocal field trials of the INRA Small Grain Cereals Network.", https://doi.org/10.15454/1.4489666216568333E12, Portail Data INRAE, V5
Abstract:Winter wheat phenotypic data from a French experimental network. It includes observations for different characters (agronomic, quality, disease, phenology,…) on more than 10 experimental locations during more than 15 years and for more than 1700 winter wheat genotypes.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Portail Data INRAE Support

Portail Data INRAE Support

Please fill this out to prove you are not a robot.

+ =