2,041 to 2,050 of 8,520 Results
Nov 25, 2023 -
HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023
Tabular Data - 1.2 MB - 4 Variables, 32394 Observations - UNF:6:OeYi/pnXPScyK4Xzwkirhg==
Backscaterred and sidescaterred turbidity and SMC (suspended matter concentration) at the CAPT station |
Nov 25, 2023 -
HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023
Tabular Data - 1.9 MB - 2 Variables, 84346 Observations - UNF:6:BS01E25iFYsn0rw82HY6wg==
Rainfall at the REGEN raingauge (200 m away from CAPT) |
Nov 25, 2023 -
HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023
Tabular Data - 6.3 KB - 3 Variables, 226 Observations - UNF:6:20ewbVl9za9Mz7huROuAOA==
Pathogen Leptospira concentration at the CAPT station |
Nov 25, 2023 -
HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023
JPEG Image - 2.6 MB -
MD5: e74f593fbf6553ec4bd110fc74270475
Picture from study site: device monitoring during cyclone UESI (02/2020) |
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. |
Nov 17, 2023 - UMR CBGP
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... |
JPEG Image - 740.4 KB -
MD5: 54d6e33a4d2f41a849afc1f0e7c9aa63
Figure: Relative frequencies of the small mammals caught in each of the 49 localities sampled. 1: Bakel, 2: Badi Nieriko, 3: Bala, 4: Bantako, 5: Birkelane, 6: Boutougoufara, 7: Bransan, 8: Dembankane, 9: Diakene-Wolof, 10: Dianke Makha, 11: Diattacounda, 12: Diawara, 13: Dide Ga... |
Nov 17, 2023 - UMR CBGP
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... |
Nov 17, 2023 -
Mastomys erythroleucus Capture-Mark-Recapture data in Bandia (Senegal) between 1984 and 2012
Adobe PDF - 514.2 KB -
MD5: 130afbf5f9fe6b8dc514c57cb17bebb3
Data dictionary, PDF format |
Nov 17, 2023 -
Mastomys erythroleucus Capture-Mark-Recapture data in Bandia (Senegal) between 1984 and 2012
Tabular Data - 1.2 KB - 5 Variables, 7 Observations - UNF:6:BE7oQtOGlS1g4WKqIiICHg==
Data dictionary, tabulated text format |
