1 to 10 of 1,205 Results
Cottrell, Gilles; Bonnet, Emmanuel; Le Hesran, Jean-Yves; Yadouleton, Anges; Atchade, Aurore; Fiogbe, Marc; Abdoulaye Alfa, Daleb; Yovo, Emmanuel; Hounsa, Sandrine; Bationo, Cédric; Gonzalez, Raquel; Gaudart, Jean; Massougbodji, Achille, 2023, "STREESCO (STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an effective response to COVID-19) : données et documentations du projet", https://doi.org/10.23708/DAGART, DataSuds, V2, UNF:6:0Lgijn8aQgM+GdNE2RpJgQ== [fileUNF]
Dans le cadre du projet STREESCO (STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an effective response to COVID-19), la collecte systématique de données sur les résultats sanitaires comprend des méthodes de surveillance basées sur les événements, les pat... |
Andrianjafindrainibe, Velomalala Solo; Andrianirina, Nicole; Bédécarrats, Florent; Droy, Isabelle; Dubois, Jean-Luc; De Montalembert, Jeanne; Rabevohitra, Bako Nirina; Rafidimanana, Rolland; Rasolofo, Patrick; Ratovoarinony, Raphaël; Ratsaramiarina, Lalasoa Anjarafara Onivola; Ravelonandro, Jean Dieudonné; Razanamavo, Voahirana; Razafindrakoto, Mireille; Rivolala, Bezaka; Roubaud, François; Saint-Macary, Camille, 2024, "Madagascar rural observatory surveys, a longitudinal dataset on household living conditions 1995-2015: microdata and documentation", https://doi.org/10.23708/WNM6LW, DataSuds, V1, UNF:6:N5CQnijcO+h7Tm2WLiyH2g== [fileUNF]
A Rural Observatory System (ROS) was established in Madagascar to address the lack of socioeconomic data on rural areas. It collected, analyzed, and disseminated data to help formulate and evaluate development policies. From 1995 to 2014, the ROS surveyed a total of 26 areas. The... |
Mar 26, 2024 - Data collected as part of M-TROPICS - UMR GET
Soulileuth, Bounsamay; Boithias, Laurie; Ribolzi, Olivier; Xaiyalard, Mose; Pierret, Alain, 2024, "Land use of the Laksip village south of the National Road 13, Northern Lao PDR (2016)", https://doi.org/10.23708/FRS9PC, DataSuds, V1
This dataset has been collected thanks to the long-term partnership with Department of Agricultural Land Management (DALaM), Lao PDR, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the Multiscale TROPIcal C... |
Mar 26, 2024 - Data collected as part of M-TROPICS - UMR GET
Boithias, Laurie; Jarde, Emilie; Latsachack, Keooudone; Thammahacksa, Chanthamousone; Silvera, Norbert; Rochelle-Newall, Emma; Ribolzi, Olivier, 2024, "Escherichia coli, stanol, and total suspended sediment concentrations at the outlet of a ditch draining sewage and surface runoff out of a village, Northern Lao PDR (2016)", https://doi.org/10.23708/YAKLF6, DataSuds, V1, UNF:6:SrLP4yVKKBcrmHLNWFhXlg== [fileUNF]
This dataset has been collected thanks to the long-term partnership with Department of Agricultural Land Management (DALaM), Lao PDR, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the Multiscale TROPIcal C... |
The Institute of Earth Sciences (ISTerre) is a joint research unit of the CNRS, Grenoble-Alpes University, the University of Savoie Mont Blanc, the IRD, and Gustave Eiffel University. ISTerre is a leading laboratory for Grenoble’s Universe Sciences Observatory (OSUG) whose resear... |
La base de données Sphaera repose sur 4 000 références cartographiques rassemblées dans 714 jeux de données couvrant une vaste zone géographique, plus particulièrement le domaine tropical, (cartes, notices de cartes, atlas, ouvrages), sur de nombreux thèmes (agronomie, archéologi... |
Sané, Babacar; Diouf, Malick; Jean, Fréderic; Kerhervé, Malika; Flye-Sainte-Marie, Jonathan; Houmenou, Abdou Karim; Thomas, Yoann, 2024, "Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022", https://doi.org/10.23708/VQHAZB, DataSuds, V1, UNF:6:F8uDwbq/ISTm9wrdeI/tgg== [fileUNF]
Understanding the reproductive biology of a species is an important means of determining the renewal capacity of natural stocks, especially in the case of heavily exploited species. It is a fundamental element in supporting the implementation of management measures. Here, we stud... |
Bathelemy, Ralph; Brigode, Pierre; Andréassian, Vazken; Perrin, Charles; Moron, Vincent; Gaucherel, Cédric; Tric, Emmanuel; Boisson, Dominique, 2023, "Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005", https://doi.org/10.23708/02POK6, DataSuds, V4
Haiti is highly exposed to hydro-climatic hazards. However, no database exists for the scientific community to characterize these hazards. To fill this gap, hydro-climatic data were compiled to create the first historical database in Haiti. This database, called Simbi, will contr... |
Rodda, Suraj Reddy; Fararoda, Rakesh; Jha, Nidhi; Réjou-Méchain, Maxime; Couteron, Pierre; Gopalakrishnan, Rajashekar; Barbier, Nicolas; Alfonso, Alonso; Bako, Ousmane; Bassama, Patrick; Behera, Debabrata; Bissiengou, Pulcherie; Biyiha, Hervé; Brockelman Y., Warren; Chanthorn, Wirong; Chauhan, Prakash; Dadhwal, Vinay Kumar; Dauby, Gilles; Deblauwe, Vincent; Dongmo, Narcis; Droissart, Vincent; Jeyakumar, Selvaraj; Jha, Chandra Shekar; Kandem, Narcisse Guy; Katembo, John; Kougue, Ronald; Leblanc, Hugo; Lewis, Simon; Libalah, Moses; Manikandan, Maya; Martin-Ducup, Olivier; Mbock, Germain; Memiaghe, Hervé; Mofack, Gislain; Mutyala, Praveen; Narayanan, Ayyappan; Nathalang, Anuttara; Oum Ndjock, Gilbert; Ngoula, Fernandez; Nidamanuri, Rama Rao; Pélissier, Raphaël; Saatchi, Sassan; Sagang, Le Bienfaiteur; Salla, Patrick; Simo-Droissart, Murielle; B. Smith, Thomas; Sonké, Bonaventure; Stevart, Tariq; Tjomb, Danièle; Zebaze, Donatien; Zemagho, Lise; Ploton, Pierre, 2024, "South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa", https://doi.org/10.23708/H2MHXF, DataSuds, V2, UNF:6:pUYwyUIpsRWmCnpBju2KxQ== [fileUNF]
The dataset contains forest aboveground biomass prediction maps derived from field inventory plot and UAV or airborne LiDAR data over five sites in South Asia and eight sites in Central Africa, together with prediction uncertainty maps. Maps are provided at 100 x 100 m and 40 x 4... |
