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 38 Results
Apr 7, 2020
Jaeger, Christophe, 2020, "Biological and physico-chemical dataset from different freshwater fishponds systems in IMTA", https://doi.org/10.15454/PTXLHE, Portail Data INRAE, V1, UNF:6:l0SQY7eKa/ebgEllg1D51w== [fileUNF]
The data were collected from experimental freshwater fishpond systems (semi-intensive coupled with lagoon, semi-intensive and extensive). The dataset presented is composed of: 1. Individual fish parameters (live weight, length at fork, Fulton’s condition factor (K)), at stocking...
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...
May 15, 2020
Chabert, Ariane; Marchand, Damien; Sarthou, Jean-Pierre, 2019, "Data from extensive comparative measurements of conventional, conservation and organic agricultures in Southwestern France", https://doi.org/10.15454/KEW1GK, Portail Data INRAE, V4, UNF:6:p5Dluu6TBsiRLpQiObqmOw== [fileUNF]
Observational and experimental data of crop pests, crop pest natural enemies, soil sensitivity to erosion, crop productivity, pathogenic fungal infection and root colonization by mycorrhiza in conventional, conservation and organic agricultures near Toulouse, France.
Jul 10, 2020 - Portail Data INRAE
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...
Aug 7, 2019
Hassouna, Melynda; Vigan Aurore; Guigand Nadine; Brame Coline; Edouard Nadège; Eglin Thomas; Espagnol Sandrine; Eugène Maguy; Génermont Sophie; Lagadec Solène; Lorinquer Elise; Loyon Laurence; Ponchant Paul; Robin Paul, 2019, "Database to collect emission values for livestock systems : ELFE database", https://doi.org/10.15454/MHJPYT, Portail Data INRAE, V1
Increasing demand for animal products has contributed to the increase in biogeochemical fluxes, leading particularly to gaseous ammonia, methane and nitrous oxide emissions into the atmosphere. Air pollution from livestock production systems has thus become a major environmental...
Jul 1, 2020 - valeur nutritive
Novak, Sandra, 2020, "Données article Fourrages "Novak et al. 2020"", https://doi.org/10.15454/QLE7EA, Portail Data INRAE, V2
Ce jeu de données est constitué des valeurs de compositions chimiques des feuilles de 31 espèces d’arbre, 14 espèces d’arbuste et 7 espèces de liane, ainsi que de 8 espèces herbacées prélevées au mois d’août des années 2014 à 2017 dans différentes régions de France. Ces données o...
Mar 31, 2020 - Simulations 1348
Davoudkhani, Mohsen, 2020, "Economic optimization of feeding and shipping strategies in pig-fattening using an individual-based model", https://doi.org/10.15454/OWJJUU, Portail Data INRAE, V1, UNF:6:u2o02jBTENzyl0tn758TJg== [fileUNF]
Economic results of pig-fattening systems vary greatly and depend in part on prices of pork and feeds, as well as pig growth performance (e.g. slaughter weight, lean percentage). Previous studies revealed that feeding and shipping strategies are critical factors in the economic o...
Jul 18, 2018
Muneret, Lucile; Mitchell Matthew; Seufert, Verena; Aviron, Stéphanie; Djoudi, El Aziz; Pétillon, Julien; Plantegenest, Manuel; Thiéry, Denis; Rusch, Adrien, 2018, "Evidence that organic farming promotes pest control", https://doi.org/10.15454/DV8LMF, Portail Data INRAE, V1
Data sets used to examine the effect of organic farming on pest control potential and pest infestation levels in agrosystems. The article has been published in July 2018 in Nature Sustainability.
Jan 10, 2019
Akkal-Corfini, Nouraya; Robin, Paul, 2019, "Fate of nitrogen from artichoke crop residues: a lysimeter study", https://doi.org/10.15454/5MQJSV, Portail Data INRAE, V2, UNF:6:+cik3D2HRltAyfAIch8AFQ== [fileUNF]
The fate of N from artichoke (Cynara cardunculus L. var. scolymus (L.)) residues is quantified with a three-year study of 15N-labelled residues in an artichoke-cauliflower (Brassica oleracea L. cv. botrytis) rotation in six lysimeters. After three years, 6% of N in artichoke resi...
Fourrages ligneux logo
Jun 23, 2020
Ce dataverse a pour vocation de rassembler les résultats des travaux réalisés sur les fourrages ligneux (arbres, arbustes ou lianes fourragères), qu’ils concernent leur valeur nutritive, la quantité de biomasse produite ou ingérée ou bien le comportement des animaux. This dataver...
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.

+ =