L'Unité Mixte de Recherche TETIS (AGROPARISTECH - CIRAD - CNRS - INRAE) met en œuvre une approche intégrée de la chaîne de l’information spatiale : acquisition et traitement de données spatialisées, analyse et modélisation spatio-temporelle des systèmes agro-environnementaux et territoriaux, conception et gestion de systèmes d’information, Text and Data Mining, TDM, Big data, conditions de l'utilisation de l’information spatiale par les acteurs territoriaux pour les politiques publiques.
The TETIS Joint Research Unit (AGROPARISTECH - CIRAD - CNRS - INRAE) implements an integrated approach to the spatial information chain : acquisition and processing of spatialized data, analysis and modelling spatio-temporal analysis and modelling of agricultural and territorial systems, design and management of information systems, Text and Data Mining, TDM, Big data, conditions for the use of spatial information by territorial actors for public policies.
Featured Dataverses

In order to use this feature you must have at least one published or linked 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

1 to 10 of 773 Results
1 oct. 2025
Alexandre Chloé; Toillier Aurélie; Dolinska Ola; Guillonnet Renaud; Henriquez Priscilla; Konigstein Manon; Lecomte Chloé; Lima de Faria Margarida; Mathe Syndhia; Navas Joaquin; Ramirez Ricardo; Roefs Marlene; Triomphe Bernard; Helmer Thierry; Valentin Sarah; Roche Mathieu, 2024, "Innovation lexicon", https://doi.org/10.18167/DVN1/VMHTYL, CIRAD Dataverse, V3
The DeSIRA (Development Smart Innovation through Research in Agriculture) Initiative from the European Commission funds Research and Development projects seeking to bridge the gap between the research community and the formulation of policies to build resilient, sustainable and e...
1 oct. 2025 - Innovation lexicon
OpenOffice Spreadsheet - 16,4 KB - MD5: 1f84dc7f36ba2d61a01209501fae15fb
17 sept. 2025
Lindtsen, Agneta; Ode, Åsa; Helmer, Thierry; Roche, Mathieu; Valentin, Sarah, 2025, "IRC lexicon", https://doi.org/10.18167/DVN1/DFIFBR, CIRAD Dataverse, V1
The Consortium Europe-Africa on Research and Innovation for Food Systems Transformation (CEA-FIRST) is a bicontinental effort put together to operationalise the International Research Consortium (IRC) as a long-term platform on Food and Nutrition Security and Sustainable Agricult...
17 sept. 2025 - IRC lexicon
OpenOffice Spreadsheet - 26,4 KB - MD5: 7f546f970798df1bf694bac8c77039c8
4 sept. 2025
El Houbri, Fatima Ezahra; Valentin, Sarah; Idrissi, Najlae; Roche, Mathieu, 2025, "Arabic and English Spatial Entity Dataset for Animal Disease Surveillance Extracted with PADI-web", https://doi.org/10.18167/DVN1/ZA1YUO, CIRAD Dataverse, V3
As part of the “Arabic Corpus and Entities Dealing with Animal Disease Surveillance Extracted with PADI-web” dataset (https://doi.org/10.18167/DVN1/2B4WLR), we built a new dataset containing 284 spatial entities in Arabic, their translation into English (manually validated) and t...
OpenOffice Spreadsheet - 48,6 KB - MD5: 20b723d32c3f52be5a22f5319ac877d8
23 juil. 2025
Iyaloo, Diana; Haramboure, Marion; Elahee, Khouaildi Bin; Marti, Renaud; Castets, Mathieu; Degenne, Pascal; Bouyer, Jérémy; Baldet, Thierry; Tran, Annelise, 2025, "Modelled and observed Aedes albopictus mosquito population dynamics during a SIT field trial, Mauritius, 2017-2019", https://doi.org/10.18167/DVN1/ZKJBMK, CIRAD Dataverse, V1, UNF:6:0mI+mTaZl0RCm0I7mdt3/g== [fileUNF]
The prevention of diseases caused by Aedes-borne pathogens, such as dengue, chikungunya and Zika viruses, relies on mosquito control. An innovative method adapted for Aedes albopictus mosquitoes is the Sterile Insect Technique (SIT) that consists in the mass-release of sterilized...
Compressed Archive - 10,9 KB - MD5: 579b9b646ca18eeeb71cb0936ca044a1
Working folder to run ARBOCARTO tool
Compressed Archive - 97,8 KB - MD5: 6f42a3e4d73274ef7bf86ad0b8f0b759
ARBOCARTO outputs (shapefile format)
Tabular Data - 1,9 KB - 1 Variables, 57 Observations - UNF:6:IWv1FT04nutRdz6IZ773Wg==
Percentage of fertile eggs observed in Pointe des Lascars (PDL) and Panchvati (PAN) areas, Mauritius, 2017-2018
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.