Metrics
61 267 Downloads

Cirad Dataverse permet aux scientifiques du Cirad et à leurs partenaires de déposer, partager et/ou rendre publiques les données produites ou coproduites dans le cadre des travaux de recherche.

CIRAD Dataverse allows CIRAD's researchers and partners to store data produced or co-produced in the framework of collective research work or projects.

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.

Advanced Search

791 to 800 of 875 Results
25 juil. 2019 - UMR CBGP
Gay, Pierre-Emmanuel; Piou, Cyril, 2019, "Multi-agent model ALMMAS 1.4: source code", https://doi.org/10.18167/DVN1/MJHW2L, CIRAD Dataverse, V1
Multi-agent model ALMMAS 1.4 source code for NetLogo (v. 6.0.4)
25 juil. 2019 - Science du Sol
RAUNET, Michel; Laurent, Jean-Baptiste, 2019, "Données Pédologique Alaorta", https://doi.org/10.18167/DVN1/SCWXY1, CIRAD Dataverse, V1
Carte pédologique du Bassin versant du lac Alaotra produite dans le cadre du projet BV-Lac. Région Alaotra Mangora. Echelle: 1/100 000 Le fichier des données au format GéoTiff n'est pas diffusé dans ce DataSet (Taille 200Mo). Pour accéder aux données, contacter l'auteur.
25 juil. 2019Réseau CIRCASA
25 juil. 2019UPR AIDA
Dataverse de démo du réseau CIRCASA
11 juil. 2019 - UMR PVBMT
Nibouche, Samuel; Tibère, Richard; Costet, Laurent, 2019, "Raw data for Nibouche et al. 2019 Crop Protection Erianthus arundinaceus as a trap crop for the sugarcane stem borer Chilo sacchariphagus: field validation and disease risk assessment", https://doi.org/10.18167/DVN1/WQQI0X, CIRAD Dataverse, V1, UNF:6:OQL5TJc/TvSSW86rK49huw== [fileUNF]
The aim of this study was to determine the efficiency of using Erianthus arundinaceus as a trap crop to control Chilo sacchariphagus in sugarcane in commercial field conditions and to assess the susceptibility of Erianthus arundinaceus to three major sugarcane diseases: smut, lea...
8 juil. 2019 - UPR AIDA
Auzoux, Sandrine; Dusserre,Julie; Sester, Mathilde, 2019, "Agronomic management of rice blast datasets (®GARP database)", https://doi.org/10.18167/DVN1/Y5HADO, CIRAD Dataverse, V1
Data from GARP project in Madagascar highlands. 2 trials at different altitudes (middle and high). Impact of conservation agriculture cropping systems on plant growth, nitrogen uptake, blast epidemic and yield
4 juil. 2019 - Data_Integration_Team
de Lamotte, Frédéric, 2019, "Functional Annotation for 797 plant ns Lipid Transfer Protein", https://doi.org/10.18167/DVN1/1O5UAK, CIRAD Dataverse, V1
This is the list of all the functional annotations about the 797 nsLTP sequences used for our work "Comprehensive classification of the plant non-specific lipid transfer protein superfamily towards its Sequence – Structure – Function analysis". It might be useful for any studies...
UMR SYSTEM(CIRAD)
UMR SYSTEM logo
27 juin 2019
L’unité mixte de recherche Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens produisait des connaissances, des outils et des données permettant d’évaluer et de concevoir des systèmes de culture alliant performances économiques et production de service...
26 juin 2019 - Data_Integration_Team
de Lamotte, Frédéric, 2019, "797 sequences of plant ns Lipid Transfer Protein (fasta file)", https://doi.org/10.18167/DVN1/UNKLA6, CIRAD Dataverse, V1
This is the list of all nsLTP sequences used for our work "Comprehensive classification of the plant non-specific lipid transfer protein superfamily towards its Sequence – Structure – Function analysis". It might be useful for any studies in phylogeny (this is the largest dataset...
Data_Integration_Team(CIRAD-UMR AGAP Institut)
26 juin 2019UMR AGAP Institut
Nos travaux de recherche concernent la représentation des connaissances et l’intégration des données en génomique végétale, qui plus que jamais est nécessaire puisque l’arrivée des nouvelles méthodes de séquençage à très haut débit (NGS) accentue les problématiques liées à cette...
Add Data

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.