61 to 65 of 65 Results
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... |
Akissoé, Lorène; Hemery, Youna; Madode, Yann; Icard Verniere, Christèle; Roger, Anaïs; Kpossilande, Claudia E.; Hounhouigan, Djidjoho Joseph; Mouquet-Rivier, Claire, 2023, "Consumption of traditional cowpea-based dishes in urban and rural areas of South Benin", https://doi.org/10.23708/ZQPBEW, DataSuds, V1, UNF:6:nMrwxB1OzYagKTXtIzdmfw== [fileUNF]
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-base... |
Bonnet, Marie-Paule; Garnier, Jérémie; Da Motta Marques, David; Seyler, Patrick; Dias-Roque, Derlayne Flávia; Nunes Kraus, Cleber, 2023, "Surface water quality (2013-2017) - Curuai floodplain, Brazil, Pará", https://doi.org/10.23708/SNGQHV, DataSuds, V1, UNF:6:ANjAoi1b+71R2DZt5Euwew== [fileUNF]
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... |
Bayet, Theophile, 2023, "COCO-style geographically unbiased image dataset for computer vision applications", https://doi.org/10.23708/N2UY4C, DataSuds, V1
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 develo... |
Jan 4, 2023 - UMR iEES-Paris
Mahuzier, C.; Bodo, B.S; Maman Sani, A.; Hamissou, A.C, 2023, "Random Forest classification of land cover from Sentinel satellite images in 2021 for the Agro2Ecos project area, Maradi, Niger", https://doi.org/10.23708/JQK9E6, DataSuds, V1
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 croppi... |
