This dataset was acquired using the combination of Sentinel-1 radar and Sentinel-2 optical image time series with indices (BI2, NDVI, MSAVI2, NDII). A total of 112 sentinel images were acquired in 2021 allowing a coherent and reliable mapping of land use in relation to the cropping systems around Maradi, Niger. Rainfed cropping systems (millet, cowpea, sorghum, groundnut and nutsedge) are well classified and occupy more than 94% of the cultivated area. In contrast, irrigated crops...

Regular consumption of legumes is recommended worldwide for its environmental and health benefits. Cowpea, the most-frequently consumed pulse in West African countries, is rich in nutrients and health-promoting bioactive compounds. In southern Benin, a wide variety of cowpea-based dishes are observed. To quantify the consumption of cowpea-based dishes by the Beninese population, a one-week retrospective Food Frequency Questionnaire and a food atlas were used. Participants were 1217 adults (19-65 years) from three urban or rural...

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 indicates the date and time in UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe,...

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 UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe, and connected to...

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 on their territory and on the evolution over time of the frequency, intensity, and speed of progression of the pressures and pulses affecting them. They are the first observers of these phenomena. They...

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 following the WMO Norm [1]. The calibration procedure involves a peristaltic pump and a precision weighing under variable intensity ranging from 10 to 800mm/h. A calibration curve was fitted for each gage....

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 three provinces Houet, Kénédougou and Comoé, in the sudanian bioclimatic area. Major study sites correspond to three geographical zones (Bama, Banzon and Karfiguela), each of these zones presenting both an...

The rice yellow mottle virus (RYMV) constitutes a major threat to the actual development of rice cultivation in Africa. As climate change and agricultural intensification increase the risk of epidemics, there is an urgent need to understand the spatio-temporal dynamics of RYMV at local scale. This dataset provides information on the pathogenicity of RYMV isolates collected in western Burkina Faso between 2015 and 2021. Two experiments were conducted in controlled greenhouse conditions (IRD Montpellier, France,...

There are already a lot of datasets linked to computer vision tasks (Imagenet, MS COCO, Pascal VOC, OpenImages, and numerous others), but they all suffer from important bias. One bias of significance for us is the data origin: most datasets are composed of data coming from developed countries. Facing this situation, and the need of data with local context in developing countries, we try here to adapt common data generation process to inclusive data, meaning...

Regular consumption of legumes is recommended worldwide for its environmental and health benefits. Cowpea, the most-frequently consumed legume in West African countries, is rich in nutrients and health-promoting bioactive compounds. In southern Benin, a wide variety of cowpea-based dishes are observed. These dishes can be classified into three groups: doughnuts (Ata, Ata-doco, Ataclè), mixed dishes (Abla, Atassi, Djongoli), and stews (Adowè, Abobo, Vêyi). Since the nutritional composition of these foods was poorly documented, we sampled...

This dataset was acquired within the framework of several successive French-Brazilian projects with the objective of characterizing the spatio-temporal variations of water quality in the Curuai floodplain. It includes data that were acquired between March 2013 and September 2017 during 9 field campaigns conducted at different hydrological periods. In each campaign we visited at least 25 fixed stations distributed in the different lakes that compose the floodplain. The positions of these stations are distributed along...

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 measurements were performed at 5 locations in the Saigon river branch and at 2 locations in the Dong Nai river branch between October 21st, 2022 and December 16th, 2022. We performed barometric compensation, identify and correct...