2,541 to 2,550 of 9,175 Results
Nov 29, 2023 -
Genotyping data for field samples from Haitian coffee agroforestry systems and international collection accessions
MS Excel Spreadsheet - 1.9 MB -
MD5: 2373559d3f310e747529fb876755bbb3
This file combines all data tables in Excel (.xlsx) format |
Nov 25, 2023 - New Caledonia (Nouvelle-Calédonie)
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 25, 2023 -
HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023
Tabular Data - 1.4 MB - 3 Variables, 52420 Observations - UNF:6:Xc76Bnu3O0jUZnA47kcWfw==
Water level and discharge at the CAPT station |
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... |
