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 133 Results
18 mars 2025
Girod, Coline; Coquereau, Adrien; Nyawasha W., Rumbidzai; Thanks, Bowha; Jahel, Camille; Leroux, Louise, 2025, "Land Use Maps of Murewha District (Zimbabwe): Temporal Analysis from 2002 to 2023 Using Landsat Data", https://doi.org/10.18167/DVN1/E0BP5I, CIRAD Dataverse, V1
This dataset comprises a series of five land use and land cover (LULC) maps of western Murewha District, Zimbabwe, spanning the years 2002, 2007, 2013, 2018, and 2023. The overall accuracy scores for these maps are 0.93, 0.91, 0.90, 0.90, and 0.90, respectively. These maps were g...
25 févr. 2025
Dufleit, Victor; Tran, Annelise; Vincent, Bonnal; Degenne, Pascal; Lavarenne, Jeremy; Lecat, Lucie; Cattan, Philippe, 2025, "Simulated dataset of pesticide use and fate in Guadeloupe Island using Agri-STAMP model", https://doi.org/10.18167/DVN1/QWKSZK, CIRAD Dataverse, V1
This dataset includes the inputs of Agri-STAMP model to simulate the use and fate of pesticides in Guadeloupe, 1969 - 2014, and the outputs for 56 pesticide active substances in Guadeloupe Island (Basse-Terre and Grande-Terre), and Marie-Galante.
10 févr. 2025
Lelong, Camille, 2025, "Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.", https://doi.org/10.18167/DVN1/RV9SID, CIRAD Dataverse, V1
Base de données vectorielles au format ESRI-shapefile. La région couverte par l’étude représente environ 130km2 et se situe à la périphérie Est de la ville de Parakou au Nord Bénin. Cette base de données contient la digitalisation, à partir d'images satellite Pléiades-Néo à 30cm/...
19 déc. 2024
Alexandre, Chloé; Toillier, Aurélie; Mathe, Syndhia; Valentin, Sarah; Helmer, Thierry; Rouvière, Xavier; Roche, Mathieu, 2024, "Innovation lexicon", https://doi.org/10.18167/DVN1/VMHTYL, CIRAD Dataverse, V1
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...
5 sept. 2024
El Houbri, Fatima Ezahra; Valentin, Sarah; Idrissi, Najlae; Roche, Mathieu, 2024, "Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web", https://doi.org/10.18167/DVN1/2B4WLR, CIRAD Dataverse, V1, UNF:6:/8/tpWu2MzGuGuB5xtMPZA== [fileUNF]
The corpus contains 53 Arabic articles automatically extracted from the PADI-web tool (https://www.padi-web-one-health.org). Each article dealing with animal disease surveillance is associated with an Id. Epidemiological named entities manually extracted from this Arabic corpus:...
24 juin 2024
Nenwala, Victor Hugo; Foulna Tcheobe, Carmel; Lavarenne, Jérémy, 2024, "Weather Station Data from Northern Cameroon (June 2023 - June 2024)", https://doi.org/10.18167/DVN1/XZZOVN, CIRAD Dataverse, V1
Abstract This dataset contains raw and processed weather measurements from three stations located in Bamé, Djiddé, and Pintchoumba in Northern Cameroon. The data spans from June 2023 to June 2024 and includes raw measurements, quality-checked data, and data aggregated at 5-minute...
30 mai 2024
Lavarenne, Jérémy, 2024, "Martinique daily interpolated rainfall, 1980-2021, obtained via ordinary kriging", https://doi.org/10.18167/DVN1/KJEA4Q, CIRAD Dataverse, V1
Description: This dataset provides daily interpolated rainfall maps for Martinique island, for the period 1980-2021, at 0.001° resolution, derived from daily rain gauge data observations. Dataset Preparation Methods: These maps were obtained by performing interpolation from daily...
17 mai 2024
Lavarenne, Jérémy, 2024, "Martinique daily interpolated rainfall, 1980-2021, obtained via UKED", https://doi.org/10.18167/DVN1/CLUN5R, CIRAD Dataverse, V1
Description: This dataset provides daily interpolated rainfall maps for Martinique island, for the period 1980-2021, at 0.001° resolution, derived from daily rain gauge data observations. Dataset Preparation Methods: These maps were obtained by performing interpolation from daily...
8 avr. 2024
Rumiano, Florent; Miguel, Eve; Valls-Fox, Hugo; Chamaillé-Jammes, Simon; Caron, Alexandre; Tran, Annelise, 2020, "Land cover map, Dete site, Hwange National Park, Zimbabwe", https://doi.org/10.18167/DVN1/BJJZJV, CIRAD Dataverse, V2
Land cover map of Dete study site derived from Sentinel-2 images (2018). TEMPO project: Remote sensing and Spatial modelling of animal mobility - Application to the study of wildlife/livestock contacts and risk of pathogen transmission http://tempo.cirad.fr
11 mars 2024
Dupuy, Stéphane; Lelong, Camille; Husson, Clara; Guillon, Colas; Ahamada, Anisse; Dautrey, Emilien; Moussa, Toufa; El Hadji, Inssa; Said, Mohamed, 2024, "Mayotte - 2023 - Base de données de référence de l'occupation du sol", https://doi.org/10.18167/DVN1/WPLIUE, CIRAD Dataverse, V1
La base de données de référence a été créée pour entrainer un algorithme de classification supervisé d'images satellites pour la production de cartes d'occupation du sol. Il s'agit de polygones représentatifs de l'occupation du sol de l'ile de Mayotte. La table attributaire conti...
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.