21 to 30 of 69 Results
Dec 16, 2022 - TrEMOLO software - Data and codes
SABOT, Francois; MOHAMED, Mourdas, 2022, "Simulated genome sequences for replication control for TrEMOLO", https://doi.org/10.23708/DSDTZ0, DataSuds, V1
This dataset contains the simulated genomes based on the G0-F100 initial sequence including the INSIDERs and OUTSIDERs simulated insertions. |
Dec 14, 2022 - UMR iEES-Paris
Bultelle, A.; Jouquet, P.; Monnin, T.; García-Ibarra, F.; Aroui Boukbida, H.; Labiadh, M., 2022, "Morphometric analysis of twelve ants species collected in Tunisia between 2018 and 2019.", https://doi.org/10.23708/JXX75R, DataSuds, V1
Characterization of 63 ants from samplings conducted in Dar Dhaoui and Chammakh from 07/11/2018 to 02/07/2019. A total of 42 samplings of 1 to 30 individuals were carried out on sight, with tweezers, close to nests or along foraging lines. For each of these samples, ants were ide... |
Dec 9, 2022 - ORIESA
Seguis, Luc; Perrin, Jean-Louis; Koffi, Ehouman Serge; Dutremble, Clement; Dao, Amidou; Zahiri, Eric-Pascal, 2022, "Water level in the Riviera catchment (Cocody, Abidjan, Côte d'Ivoire) (2020-)", https://doi.org/10.23708/LSV7IO, DataSuds, V1, UNF:6:qpk2bH4/yS5zDzQxyJ3Nyw== [fileUNF]
The Riviera watershed (Abidjan, Côte d'Ivoire) is urbanized and prone to flooding from overflowing stormwater drainage channels. This dataset provides instantaneous water level (cm) measured every minute in Palmeraie station in Cocody, Abidjan (Longitude -3,953755 Latitude 5,3746... |
Nov 21, 2022 - UMR iEES-Paris
Mahuzier, C.; Morand, S.; Chaisiri, K.; De Rouw, A.; Soulileuth, B.; Thinphovong, C.; Tran, A.; Valentin, C., 2022, "Random Forest land cover classifications of Sentinel satellite images in 2019, Saen Thong, Thailand", https://doi.org/10.23708/GENR6J, DataSuds, V2
This dataset holds the results of different Random Forest classifications using the combination of Sentinel-2 Optical and Sentinel-1 Radar images. The different images were acquired in 2019. The dataset covers Saen Thong sub-district, Nan province in northern Thailand, a mountain... |
Nov 16, 2022 - UMR Entropie
Ranaivomanana, Harinirina Sandra, 2022, "Intense pressure on small and juvenile coral reef fishes threatens fishery production in Madagascar", https://doi.org/10.23708/GM8ZKM, DataSuds, V1, UNF:6:wsQcTqr2ApD/03zjtm6NnQ== [fileUNF]
The dataset includes a sample of fishery data on reef fish catches (catch per fishing trip, fish length, and catch composition at family level), minimal length at maturity for reef fishes, and fisher census in the Bay of Toliara, southwest Madagascar. These data were collected as... |
Nov 16, 2022 - Savane de Lamto - LMI Ecologie et Développement Durable
Koffi, K.F.; N’Dri, A.B.; Srikanthasamy, T.; Lata, J.-C.; Konaté, S.; Konan, M.; Barot, S., 2022, "The annual demographic fates of the main perennial grass species of the Lamto humid savanna (Côte d'Ivoire) under the influence of four fire treatments between 2015 to 2019", https://doi.org/10.23708/LBMVEB, DataSuds, V1
This file contains data of a scientific article accepted for publication in Fire. These data represent the demographic fates of the four dominant perennial grass species of the Lamto savanna (Andropogon canaliculatus, Andropogon schirensis, Hyparrhenia diplandra and Loudetia simp... |
Nov 9, 2022 - UMR AMAP
Pouteau, Robin, 2022, "Native plants reported as threatened by identified alien plants in the global IUCN Red List", https://doi.org/10.23708/6ERBMY, DataSuds, V1, UNF:6:CMYlNd/qh6rEJxXLInXZpg== [fileUNF]
This dataset includes 1,407 pairs of threatened native–invasive alien plants extracted from the IUCN Red List of Threatened Species (https://www.iucnredlist.org/). For each pair, the threat category of the threatened native species (NT, VU, EN, CR, EW, EX), its population trend (... |
Nov 8, 2022 - UMR MoISA
Bahya-Batinda, Dang; Kameli, Yves; Randremanana, Rindra; Masson, Leila; Martin-Prevel, Yves; Savy, Mathilde, 2022, "Evaluation data for a multi-sectoral program to improve the resilience of households in Madagascar", https://doi.org/10.23708/JOGOTO, DataSuds, V1, UNF:6:b1mH2Abu+PA7XsqqM0BIEw== [fileUNF]
Data were collected in southern Madagascar between 2018 and 2019 from a cohort of 600 households. They were collected as part of a project to evaluate a multi-sectoral program set up by the World Food Program (WFP) with the objective of improving the resilience of households in M... |
Oct 21, 2022 - UMR CEREGE
Garcin, Yannick; Schefuß, Enno; Dargie, Greta C.; Hawthorne, Donna; Lawson, Ian T.; Sebag, David; Biddulph, George E.; Crezee, Bart; Bocko, Yannick E.; Ifo, Suspense A.; Mampouya Wenina, Y. Emmanuel; Mbemba, Mackline; Ewango, Corneille E.N.; Emba, Ovide; Bola, Pierre; Kanyama Tabu, Joseph; Tyrrell, Genevieve; Young, Dylan M.; Gassier, Ghislain; Girkin, Nicholas T.; Vane, Christopher H.; Adatte, Thierry; Baird, Andy J.; Boom, Arnoud; Gulliver, Pauline; Morris, Paul J.; Page, Susan E.; Sjögersten, Sofie; Lewis, Simon L., 2022, "Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis", https://doi.org/10.23708/FO2HGM, DataSuds, V1, UNF:6:ewI8zj0Z/m4OMWGoSn0k3Q== [fileUNF]
This dataset includes two packages: 'Age_depth_models' and 'Tropical_Peats' for the creation of the age-depth models and the processing and analysis of the geospatial data, which are presented in the article "Hydroclimatic vulnerability of peat carbon in the central Congo Basin".... |
Oct 13, 2022 - DiTECT-HAT-WP2
Lejon, Veerle; Camara, Oumou; Camara, Mamadou; Ilboudo, Hamidou; Kaboré, Jacques; Compaoré, Charlie Franck Alfred; Buscher, Philippe; Bucheton, Bruno, 2022, "Passive case detection of Human African Trypanosomiasis in Guinea: symptoms and signs, rapid diagnostic test results and laboratory test results", https://doi.org/10.23708/ZDD0OW, DataSuds, V1, UNF:6:5xfmuyoW9wsYi66d23V96w== [fileUNF]
In the last decade, the prevalence of Trypanosoma brucei gambiense human African trypanosomiasis (HAT) has fallen and HAT has been targeted for elimination. At low disease prevalence, integration of case finding into routine activities of peripheral health centres becomes crucial... |