181 to 190 of 1,262 Results
Campillo, Jeremy T.; Dupasquier, Valentin; Lebredonchel, Elodie; Rancé, Ludovic G.; Hemilembolo, Marlhand C.; Pion, Sébastien D. S.; Missamou, François; Perez Martin, Antonia; Chesnais, Cédric B., 2023, "Association between arterial stiffness and Loa loa microfilaremia in a rural area of the Republic of Congo: a population-based cross-sectional study (MorLo project): data and documentation", https://doi.org/10.23708/TEM4LQ, DataSuds, V1, UNF:6:L3HKqQiclp9jpWDWVRCCuw== [fileUNF]
Recent epidemiologic data suggested an increased mortality and morbidity in individuals harboring high densities of Loa loa microfilariae in the blood, underscoring the importance of studies on the possible reasons for this excess mortality. As part of the MorLo project, this cro... |
Dec 6, 2023 - DYNADIV Team
Diop, Baye Magatte; Barnaud, Adeline; Billot, Claire; Guèye, Mame Codou, 2023, "Supplementary data for: Ethnolinguistic and genetic diversity of fonio (Digitaria exilis - Kippist - Stapf) in Senegal", https://doi.org/10.23708/5WDKS1, DataSuds, V1, UNF:6:NeauNrptcRyq6NeGtIhJqg== [fileUNF]
This data on fonio highlighted that social factors are pivotal in structuring diversity and should be taken into greater consideration in research and conservation projects to dovetail local and regional scales. It also showed that neglected species such as fonio - which are seld... |
Barthès, Bernard G.; Venkatapen, Corinne; Cambou, Aurélie; Blanchart, Eric, 2023, "Data on soil organic carbon content and stock in Martinique – relations to near infrared spectra", https://doi.org/10.23708/C2TV6W, DataSuds, V3, UNF:6:+pSF10aoGmWUCaJN+0PdPA== [fileUNF]
This dataset includes observations on soil organic carbon (SOC) gravimetric and volumetric contents (SOCg, in g kg-1, and SOCv, in g dm-3, respectively) for 98 profiles at least 30 cm deep (1 m deep for 59 of them), in rural areas of the Martinique island, in relation to soil typ... |
Moiroux, Nicolas; Pennetier, Cédric; Dabiré, Roch Kounbobr; Koffi, Alphonsine, 2023, "REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information", https://doi.org/10.23708/IX5Z7U, DataSuds, V1, UNF:6:4Jex0BKDfjiQ/Eb3dfaOuQ== [fileUNF]
This dataset lists the villages involved in the REACT project (Insecticide resistance management in Burkina Faso and Côte d'Ivoire: research on vector control strategies). Led by three scientific institutions – the Institut de Recherche pour le Développement (IRD, France), the In... |
Millet, Claude Patrick; Allinne, Clémentine; Vi, Tram; Marraccini, Pierre; Verleysen, Lauren; Couderc, Marie; Ruttink, Tom; Zhang, Dapeng; Solano Sánchez, William; Christine, Tranchant-Dubreuil; Jeune, Wesly; Poncet, Valérie, 2023, "Genotyping data for field samples from Haitian coffee agroforestry systems and international collection accessions", https://doi.org/10.23708/T6YZML, DataSuds, V1, UNF:6:4wzzOYlt0nsxd5jgI0e5Eg== [fileUNF]
Though facing significant challenges, Coffee (Coffea arabica) grown in Haitian agroforestry systems are important contributors to rural livelihoods and provide several ecosystem services. There has been little work done on their genetic diversity and the variety mixtures used, an... |
Thibeaux, Roman; Genthon, Pierre; Selmaoui, Nazha; Kianiu, Maina; Soupé-Gilbert, Marie Estelle; Govan, Rodrigues; Wijesuriya, Kavya; Goarant, Cyrille, 2023, "HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023", https://doi.org/10.23708/QULXTC, DataSuds, V1, UNF:6:FolHMvw511mmYavc5p8fQA== [fileUNF]
The SPIraL project "Soils, rainfall and leptospirosis", funded by the French National Research Agency (ANR) partly took part in the HYDROTHIEM observatory (eastern tropical coast of New Caledonia, in the South West Pacific) where it was devoted to the relationships between hydrol... |
Nov 20, 2023 - Published in CIRAD Dataverse
Maxime Réjou-Méchain; Frédéric Mortier; Jean-Francois Bastin; Guillaume Cornu; Nicolas Barbier; Nicolas Bayol; Fabrice Bénédet; Xavier Bry; Gilles Dauby; Vincent Deblauwe; Jean-Louis Doucet; Charles Doumenge; Adeline Fayolle; Claude Garcia; Jean-Paul Kibambe; Jean-Joël Loumeto; Alfred Ngomanda; Pierre Ploton; Bonaventure Sonke; Catherine Trottier; Ruppert Vimal; Olga Yongo; Raphael Pelissier; Sylvie Gourlet-Fleury, 2023, "Maps of central African rainforest composition and vulnerability", https://doi.org/10.18167/DVN1/UCNCA7, CIRAD Dataverse
This is a dataset repository for the manuscript: Réjou-Méchain, M., Mortier, F., Bastin, J.-F., Cornu G., Barbier, N., Bayol, N., Bénédet, F., Bry, X., Dauby, G., Deblauwe, V., Doucet, J.-L., Doumenge, C., Fayolle, A., Garcia, C., Kibambe, J.-P., Loumeto, J.-J., Ngomanda, A., Plo...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Granjon, Laurent; Fossati, Odile, 2020, "Commensal small mammal trapping data in Southern Senegal, 2012-2015", https://doi.org/10.23708/PQTQDA, DataSuds, V5, UNF:6:zoxxA3lfKeeu8etAwtMubQ== [fileUNF]
As part of projects aimed at studying 1) the role of invasive black rat populations in the emergence of zoonotic diseases in Southeastern Senegal, and 2), the evolutionary consequences of parasites in R. rattus and M. musculus invasions in Senegal, we conducted a series of field... |
Granjon, Laurent; Bâ, Khalilou; Niang, Youssoupha; Papillon, Yves; Duplantier, Jean-Marc, 2023, "Mastomys erythroleucus Capture-Mark-Recapture data in Bandia (Senegal) between 1984 and 2012", https://doi.org/10.23708/YEA5AR, DataSuds, V1, UNF:6:BE7oQtOGlS1g4WKqIiICHg== [fileUNF]
Long-term ecological data are of paramount importance to document the effects of global changes on biodiversity. The site of Bandia, 70km southeast of Dakar in western Senegal, has been the scene of numerous ecological studies since the 1970s. The « Bandia forest » was classified... |
Mahuzier, C.; De Rouw, A.; Morand, S.; Valentin, C., 2023, "Runoff and erosion maps in Saen Thong sub-district (Tha Wang Pha district, Nan province, Thailand)", https://doi.org/10.23708/2RJYVV, DataSuds, V1
This dataset contains three runoff and erosion vector maps classified by value ranges: i) a map of runoff coefficient (Krc %) predicted from local surface conditions and runoff data from 535 1- m² plots in Southeast Asia; (ii) a map of mean soil loss (kgm-2) predicted from the sa... |
