Skip to main content

Guide Dataverse | Gérer les Données de la recherche

Share Dataverse

Share this dataverse on your favorite social media networks.

Metrics
6,324 Downloads
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 19 Results
Apr 23, 2019 - UMR TETIS
Baron, Christian, 2019, "SARRA-H Modèle de culture : Système d'Analyse Régionale des Risques Agroclimatologiques Version H", doi:10.18167/DVN1/JSAHFB, CIRAD Dataverse, V1
SARRA-H est une évolution forte de la suite du logiciel SARRA qui est un bilan hydrique dynamique simple utilisé pour estimer l’impact d’un scénario climatique sur une culture annuelle. SARRA-H est spécifiquement adapté à l'analyse d'impact du climat sur la croissance des céréale...
Apr 4, 2019 - UMR TETIS
Dupuy, Stéphane, 2019, "La Réunion - Carte d'occupation du sol, 2017 (Pléiades)", doi:10.18167/DVN1/RTAEHK, CIRAD Dataverse, V1
Dans le cadre du Centre d’Expertise Scientifique Occupation des Sols de THEIA, l’UMR TETIS du CIRAD développe une méthode de cartographie automatisée fondée sur la chaine Moringa qui minimise les interactions avec les utilisateurs par l’automatisation de la plupart des processus...
Apr 4, 2019 - UMR TETIS
Dupuy, Stéphane; Defrise, Laurence; Gaetano, Raffaele; Burnod, Perrine, 2019, "Antananarivo - Cartographie de l’occupation du sol 2017", doi:10.18167/DVN1/NHE34C, CIRAD Dataverse, V1
Cette carte d'occupation du sol a été obtenue en utilisant le prototype de chaine de traitement Moringa mise au point par le CIRAD (UMR TETIS). Elle consiste en l’utilisation conjointe d'une image à THRS (Très Haute Résolution Spatiale) Pléiades acquise le 8 janvier 2017 par le d...
Mar 28, 2019 - UMR TETIS
Degenne, Pascal; Lo Seen, Danny, 2019, "Plateforme et langage de modélisation Ocelet", doi:10.18167/DVN1/XAR41C, CIRAD Dataverse, V1
Ocelet est un langage métier dédié à la modélisation de dynamiques spatiales. Ocelet est doté d'un environnement de développement de modèles et de simulation : Ocelet Modelling Platform. http://www.ocelet.fr/ (2018). Ocelet est notamment basé sur le concept de graphe d'interactio...
Jan 30, 2019 - Forêts et Sociétés
Ligot, Gauthier; Fayolle, Adeline; Gourlet-Fleury, Sylvie; Dainou, Kasso; Gillet, Jean-François; De Ridder, Maaike; Drouet, Thomas; Groenendijk, Peter; Doucet, Jean-Louis, 2019, "Databases and code for the publication entitled: "Growth determinants of timber species Triplochiton scleroxylon and implications for forest management in central Africa"", doi:10.18167/DVN1/1TUOBI, CIRAD Dataverse, V1, UNF:6:n9shLF/Q0Ie0z21ystwauw==
This archive contains all the necessary data and R script to reproduce the results of the manuscript entitled "Growth determinants of timber species Triplochiton scleroxylon and implications for forest management in central Africa" published in Forest Ecology and Management. It i...
Dec 21, 2018 - UMR PVBMT
Cuénin, Nicolas; Flores, Olivier; Rivière, Éric; Lebreton, Gérard; Reynaud, Bernard; Martos, Florent, 2018, "Raw data for Cuénin et al., in press, Journal of Heredity, Great genetic diversity but high selfing rates and short-distance gene flow characterise populations of a tree (Foetidia; Lecythidaceae) in the fragmented tropical dry forest of the Mascarene Islands", doi:10.18167/DVN1/EHWIGR, CIRAD Dataverse, V1, UNF:6:BDUYAp1uNP1W5CU5lQwbXQ==
Raw data for Cuénin et al. in press Journal of Heredity Great genetic diversity but high selfing rates and short-distance gene flow characterise populations of a tree (Foetidia; Lecythidaceae) in the fragmented tropical dry forest of the Mascarene Islands
Dec 20, 2018 - UMR TETIS
Fize, Jacques, 2018, "Spatial representations of texts from the BVLAC and PADI-WEB corpora", doi:10.18167/DVN1/JLXBLA, CIRAD Dataverse, V1
[EN] This dataset contains the result of the extraction of spatial information from textual data in in the form of STR, a graphical representation composed of spatial entities connected by their spatial relationships. Each graph node is associated with an identifier from Geodict...
Dec 14, 2018 - UMR TETIS
Fize, Jacques, 2018, "Données pour l'évaluation de méthodes de géocodage", doi:10.18167/DVN1/KH7YTO, CIRAD Dataverse, V1
[FR] Ce jeu de données contient les toponymes de différents documents et leur référence dans le gazetier Geodict (http://dx.doi.org/10.18167/DVN1/MWQQOQ). Les documents utilisés proviennent de deux sources de texte : PadiWeb et AgroMada. [EN] This dataset contains the toponyms of...
Nov 21, 2018 - Xylothèque
Langbour, Patrick; Paradis, Sébastien; Thibaut, Bernard, 2018, "CIRAD wood collection - Dataset", doi:10.18167/DVN1/CDHU51, CIRAD Dataverse, V3
This dataset aggregates data extracted from the index database of the CIRAD wood collection, representing more than 8,000 identified species in Montpellier, France. Wood collection (xylotheque) CIRAD's xylotheque is one of the most important wood collections of tropical and tempe...
Nov 13, 2018 - UMR CBGP
PIOU, Cyril; GAY, Pierre-Emmanuel; BENAHI, Ahmed Salem; BABAH EBBE, Mohamed Abdallahi; CHIHRANE, Jamal; GHAOUT, Saïd; CISSÉ, Sory; DIAKITÉ, Fakaba; LAZAR, Mohammed; CRESSMAN, Keith; MERLIN, Olivier; ESCORIHUELA, Maria-José, 2018, "Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"", doi:10.18167/DVN1/AGVOW7, CIRAD Dataverse, V1
Dataset used in the analyses relating soil moisture estimates and other remote sensing estimates to the presence/absence of desert locust in Algeria, Mali, Mauriania and Morocco.
Add Data

You need to Log In to create a dataverse or add a dataset.

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 CIRAD Dataverse Support

CIRAD Dataverse Support

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

+ =
Send Message