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Uruguay_stations_1910.shp
8 ene 2024 - Atlas of Uruguayan agriculture, c.1900
Formas - 4,3 KB - MD5: a5250771f41792019c4330ab0b3f9ecb
DataDatos
Uruguay_stations_1910.shx
8 ene 2024 - Atlas of Uruguayan agriculture, c.1900
Formas - 1,3 KB - MD5: b7c19049685a71fa78e3df772ccc346f
DataDatos
Dataset for the automatic detection of traffic lights, street crossings and urban roundabouts based on GPS traces while driving
8 ene 2024 - Universidad Carlos III de Madrid
Muñoz Organero, Mario, 2024, "Dataset for the automatic detection of traffic lights, street crossings and urban roundabouts based on GPS traces while driving", https://doi.org/10.21950/EDTWR7, e-cienciaDatos, V1
A specifically designed dataset generated using a driving path in Madrid which has been traveled 55 times using 3 different car models. The journey includes two urban areas and a connecting motorway. The overall length is 8.1 km and includes several road elements of interest (tra...
automatic-detection_munoz-organero_2023_v01_readme.txt
8 ene 2024 - Dataset for the automatic detection of traffic lights, street crossings and urban roundabouts based on GPS traces while driving
Texto plano - 5,3 KB - MD5: 5ee974fcdf84ace392510e88a93cd7e0
DocumentaciónDocumentation
automatic-detection_munoz-organero.tab
8 ene 2024 - Dataset for the automatic detection of traffic lights, street crossings and urban roundabouts based on GPS traces while driving
Datos tabulares - 7,2 MB
DataDatos
Dataset for sample T1DM simulated patients used to validate the paper Muñoz-Organero, M. “Deep physiological model for blood glucose prediction in T1DM patients”. Sensors (Switzerland), 2020, 20(14), pp. 1–17, 3896
8 ene 2024 - Universidad Carlos III de Madrid
Muñoz Organero, Mario, 2024, "Dataset for sample T1DM simulated patients used to validate the paper Muñoz-Organero, M. “Deep physiological model for blood glucose prediction in T1DM patients”. Sensors (Switzerland), 2020, 20(14), pp. 1–17, 3896", https://doi.org/10.21950/MMVBUJ, e-cienciaDatos, V1
The AIDA diabetes simulator has been used to generate 10 days of data for the different models implemented by the tool.
p1.tab
8 ene 2024 - Dataset for sample T1DM simulated patients used to validate the paper Muñoz-Organero, M. “Deep physiological model for blood glucose prediction in T1DM patients”. Sensors (Switzerland), 2020, 20(14), pp. 1–17, 3896
Datos tabulares - 100,8 KB
DataDatos
p2.tab
8 ene 2024 - Dataset for sample T1DM simulated patients used to validate the paper Muñoz-Organero, M. “Deep physiological model for blood glucose prediction in T1DM patients”. Sensors (Switzerland), 2020, 20(14), pp. 1–17, 3896
Datos tabulares - 16,3 KB
DataDatos
p3.tab
8 ene 2024 - Dataset for sample T1DM simulated patients used to validate the paper Muñoz-Organero, M. “Deep physiological model for blood glucose prediction in T1DM patients”. Sensors (Switzerland), 2020, 20(14), pp. 1–17, 3896
Datos tabulares - 20,0 KB
DataDatos
p4.tab
8 ene 2024 - Dataset for sample T1DM simulated patients used to validate the paper Muñoz-Organero, M. “Deep physiological model for blood glucose prediction in T1DM patients”. Sensors (Switzerland), 2020, 20(14), pp. 1–17, 3896
Datos tabulares - 14,2 KB
DataDatos
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