201 to 210 of 415 Results
Barro, Mariam; Sérémé, Drissa; Bangratz, Martine; Kassankogno, Itolou Abalo; Wonni, Issa; Poulicard, Nils; Tollenaere, Charlotte, 2023, "Yellow mottle disease epidemiology: RYMV specific detection in field-collected leaves from western Burkina Faso (2015-2019)", https://doi.org/10.23708/GZCM1O, DataSuds, V1, UNF:6:QdAkQ0xLZwp669pBgerjJg== [fileUNF]
This project aims at a better understanding of yellow mottle disease epidemiology, both at the regional level, by comparing irrigated areas to rainfed lowland rice, and at the within-field level. The study area is located in western Burkina Faso, in a 100x100kms region within the... |
Rodrigues Do Amaral, Francisco; Nguyen, Trung Tin; Gratiot, Nicolas; Pellarin, Thierry, 2023, "High-resolution water level and discharge measurements from the Saigon-Dong Nai estuary system, Vietnam, 2022", https://doi.org/10.23708/NKQDNB, DataSuds, V1, UNF:6:mWcp4LMDvHYz+oaLv15f4w== [fileUNF]
Water level and discharge data contribute to environmental protection and help management agencies with a more reliable forecasting of river water levels and better decision making by researchers and policy makers regarding urban flooding and dam management. Water level measureme... |
Finaud-Guyot, Pascal; Guilliod, Maurice; Guinot, Vincent; Marchand, Pierre; Neppel, Luc; Salles, Christian; Toulemonde, Gwladys, 2023, "Rainfall data collected by the HSM urban observatory OMSEV (2019-)", https://doi.org/10.23708/67LC36, DataSuds, V1
The rainfall gauge network is equipped with tipping buckets (DAVIS Rain Collector 6465M, resolution 0.2mm). The collecting area is 214 cm². The raw data, corresponding to the number of tipping per minute, are UT referenced. A static and dynamic calibration was carried out followi... |
Dada, Olusegun; Morand, Pierre; Louarn, Aubree; Angnuureng, Donatus Bapentire; Almar, Rafael, 2023, "Coastal Vulnerability: Perception survey in Anlo Beach (Ghana), 2021", https://doi.org/10.23708/RN7RWS, DataSuds, V1
The vulnerability of coastal territories has multiple dimensions, making it difficult to assess. One way of collecting data about the vulnerability of coastal areas is to interview people living on the coast. These communities have information on the coastal phenomena that occur... |
Rebaudo, Francois; Sokame, Bonoukpoè Mawuko; Obonyo, Julius Ochieng; Calatayud, Paul-André, 2023, "Climatic dataset from ICIPE, Nairobi, Kenya, 2022", https://doi.org/10.23708/PM58HP, DataSuds, V1, UNF:6:0u3zmmXI4vosyCHfqjp3NQ== [fileUNF]
This dataset corresponds to climate data for the year 2022 at ICIPE, Nairobi, Kenya. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in... |
Rebaudo, Francois; Callizaya Condori, Franz; Quispe Tarqui, Reinaldo, 2023, "Climatic dataset from PROINPA, Khipakhipani, La Paz, Bolivia, 2022", https://doi.org/10.23708/DORPSQ, DataSuds, V1, UNF:6:T2CFbwxGKFCmhsgtVn2JqA== [fileUNF]
This dataset corresponds to climate data for the year 2022 at Fundación PROINPA, Khipakhipani, La Paz, Bolivia. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column ind... |
Zaiss, R.; Gignoux, J.; Konaté, S.; Barot, S.; Gautier, L., 2022, "Lamto GIS layer (vector dataset): Boundary of the Lamto reserve (Côte d'Ivoire) in 1988", https://doi.org/10.23708/OQLKT3, DataSuds, V2
This dataset holds the boundary of the nature reserve Lamto in Côte d'Ivoire. We digitized the boundary from the map “Carte du recouvrement ligneux de la réserve de Lamto" published by Gautier in 1990. Bandama river delimits the nature reserve naturally in the southwest. The sour... |
Zaiss, R.; Barot, S.; Konaté, S., 2022, "Lamto GIS layer (raster dataset): Mosaic of topographical maps at a scale of 1 : 50 000 covering the Lamto reserve (Côte d'Ivoire)", https://doi.org/10.23708/4ABYJN, DataSuds, V2
This dataset holds the processing chain and the final mosaic of four georeferenced map sheets at a scale of 1 50 000 from the map series carte de l’Afrique de l’Ouest published by l’Institut Géographique National - Paris between 1960 and 1965. More precisely the mosaic holds the... |
Zaiss, R.; Gignoux, J.; Barot, S.; Gautier, L.; Konaté, S., 2022, "Lamto GIS layer (raster dataset): vegetation cover of the Lamto reserve (Côte d'Ivoire) in 1988, after original map by Gautier (1990)", https://doi.org/10.23708/TCK6IH, DataSuds, V2
This dataset holds the map “Carte du recouvrement ligneux de la réserve de Lamto" published by Gautier, L. in 1990. We georeferenced the scanned paper map using ground control points derived from Google Maps. The dataset contains the scanned map, the ground control points and the... |
Zaiss, R.; Konaté, S.; Barot, S., 2022, "Lamto GIS layer (vector dataset): Road network around the Lamto reserve (Côte d'Ivoire) in 2021", https://doi.org/10.23708/ABNHEI, DataSuds, V2
This dataset holds a vector layer for the road network in and around Lamto research station in 2021. We downloaded this dataset from OpenStreetMap. The attributes of the shapefile follow the OpenStreetMap (OMS) data schema. |
