Estadísticas
83.846 Descargas
Contacto Compartir Estadísticas
Dataverses destacados

Para usar esta funcionalidad ha de tener publicado o enlazado al menos un dataverse.

Publicar dataverse

¿Está seguro de que quiere publicar su dataverse? Una vez hecho esto, deberá permanecer publicado.

Publicar dataverse

Este dataverse no puede publicarse porque el dataverse al que pertenece no se ha publicado.

Eliminar dataverse

¿Está seguro de que quiere eliminar este dataverse? No podrá recuperarlo.

Búsqueda avanzada

1.841 a 1.850 de 1.850 Resultados
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
sample-T1DM_munoz-organero_2023_v01_readme.txt
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
Texto plano - 4,2 KB - MD5: f713376f76a4607d266886d1e69946ed
DocumentaciónDocumentation
readme-es_Ordieres.txt
30 dic 2023 - Exposición "La Librería Moderna" y la vida cultural santanderina 1915-1962)" promovida por la Universidad de Cantabria en 2015. Comisariada por Isabel Ordieres
Texto plano - 7,9 KB - MD5: 4f8334b038e16069f12c7a0d9eec0693
Añadir datos

Necesita identificarse para crear un dataverse o añadir un dataset.

Iniciar sesión
Compartir dataverse

Compartir este dataverse en sus redes sociales favoritas.

Enlace al dataverse
Reiniciar modificaciones

¿Está seguro de que quiere reiniciar los campos de metadatos seleccionados?. Si lo hace, cualquier personalización (oculto, obligatorio, opcional) que haya hecho desaparecerá.