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.
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Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.
Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.
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/...
ParakouDigitTerrain2024final.tar.gz
10 févr. 2025 - Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.
Gzip Archive - 7,0 MB - MD5: e2e739cd019084543a8ac28e353670be
Innovation lexicon
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...
desira-lift-v1.ods
19 déc. 2024 - Innovation lexicon
OpenOffice Spreadsheet - 15,8 KB - MD5: faa4cabc432cb5423c30356b42cc0ccc
Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web
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:...
Arabic_Corpus_PADI-web.xlsx
5 sept. 2024 - Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web
MS Excel Spreadsheet - 68,8 KB - MD5: d38d96111cd25c3eeb531e98b0f94bbb
Data
Arabic Corpus (53 PADI-web articles)
Arabic_Entities_PADI-web.tab
5 sept. 2024 - Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web
Tabular Data - 50,9 KB - 3 Variables, 1066 Observations - UNF:6:/8/tpWu2MzGuGuB5xtMPZA==
Data
Arabic Named Entities dealing with the epidemiology domain
Weather Station Data from Northern Cameroon (June 2023 - June 2024)
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...
Bame.tar
24 juin 2024 - Weather Station Data from Northern Cameroon (June 2023 - June 2024)
TAR Archive - 29,6 MB - MD5: e3f5dc761ec5e7e2648782be804ae13e
Djiddé.tar
24 juin 2024 - Weather Station Data from Northern Cameroon (June 2023 - June 2024)
TAR Archive - 27,4 MB - MD5: 2551df664fd93c12afe5caa0f1ed21e8
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