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

1 to 10 of 10 Results
Jan 22, 2021 - Omics Dataverse
Rué, Olivier, 2021, "Test dataset for assessment FROGS 16S amplicon methodology", https://doi.org/10.15454/VGVCIJ, Portail Data INRAE, V1
Grinder (v.0.5.3) (Angly, et al., 2012) was used to simulate the PCR amplification of fulllength (V3V4 and V4) sequences from reference databases. We generated 25 sets of species manually extracted from UTAX (Simulated Data From UTAX = SDFU) and 25 others from SILVA (v123) databa...
Jan 21, 2021 - Omics Dataverse
Rué, Olivier, 2021, "Test dataset for assessment FROGS ITS methodology", https://doi.org/10.15454/AOT7UL, Portail Data INRAE, V1
Our objective was to create datasets allowing, among other things, to test methods and tools to process data from Fungi metabarcoding sequencing. Consequently, we have computer-generated reads of 250 nucleotides in length from artificial PCRs produced with the Grinder software on...
Nov 25, 2020
Lardy, Romain; de Boyer des Roches, Alice; Capdeville, Jacques; Bastien, Renaud; Mounier, Luc; Veissier, Isabelle, 2020, "Supplemental tables and figures for Lardy et al., 2021. Refinement of International Recommendations for Cubicles, Based on the Identification of Associations between Cubicle Characteristics and Dairy Cow Welfare Measures. Journal of Dairy Science", https://doi.org/10.15454/OWPAPV, Portail Data INRAE, V1
This dataset contains Supplemental tables and figures for Lardy et al., 2021. Refinement of International Recommendations for Cubicles, Based on the Identification of Associations between Cubicle Characteristics and Dairy Cow Welfare Measures. Journal of Dairy Science
Oct 26, 2020 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Chenu, Jean-Philippe; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Creamer, R., 2020, "French RMQS soil profile and monitoring dataset with related management practices data", https://doi.org/10.15454/AIQ9WS, Portail Data INRAE, V1, UNF:6:HfeFeHIMAWpeh4m/FkViWw== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. 2 tables provided by France are available: One table of fact-gathering the results of the chemical and physical analyses of the soil profiles and monitoring. One table of fact-gathering...
Sep 14, 2020
Fabre, Frederic, 2018, "An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments by R. Djidjou-Demasse, J.-B. Burie, A. Ducrot, S. Lion, Q. Richard and F. Fabre", https://doi.org/10.15454/WAEIMA, Portail Data INRAE, V3, UNF:6:VMSNwYEeJZ3ImK9r2Mlkig== [fileUNF]
MATLAB codes for reproducing the simulations and main figures described in Djidjou-Demasse et al. 2020 An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments (https://www.biorxiv.org/content/10.1101/42346...
Jun 23, 2020
Mora, Olivier; Le Mouël, Chantal; De Lattre-Gasquet, Marie; Donnars, Catherine; Dumas, Patrice; Réchauchère, Olivier; Brunelle, Thierry; Manceron, Stéphane; Marajo-Petitzon, Elodie; Moreau, Clémence; Barzman, Marco; Forslund, Agneta; Marty, Pauline, 2020, "Data for Exploring the future of land use and food security: A new set of global scenarios", https://doi.org/10.15454/RMCZTW, Portail Data INRAE, V1
Input and output data of the quantitative assessment of the Agrimonde-Terra scenarios. Simulations have been conducted with the GlobAgri-AgT model. The aim of the Agrimonde-Terra foresight was to build global scenarios linking land use and food security, with special attention to...
May 19, 2020 - Experimental - Observation - Simulation Dataverse
Constantin, Julie; Le Bas, Christine; Mignolet, Catherine; Beaudoin, Nicolas; Bertuzzi, Patrick; Dürr, Carolyne; Mary, Bruno; Ruiz, Laurent; Tournebize, Julien; Rechauchère, Olivier; Justes, Eric, 2020, "Réduire les fuites de nitrate au moyen de cultures intermédiaires", https://doi.org/10.15454/3T24RE, Portail Data INRAE, V1, UNF:6:6IIVbcJIwM3NWoBI7osVLA== [fileUNF]
En application de la directive Nitrate et en réponse aux conclusions du Grenelle de l'Environnement, la généralisation de la couverture automnale des sols dans l'ensemble des "zones vulnérables" était prévue pour fin 2012. Il s'agit d'implanter une culture dite "intermédiaire" ap...
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...
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,...
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...
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.

+ =