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3.391 a 3.400 de 5.940 Resultados

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 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
Functionalising the electrical properties of Kombucha zoogleal mats for biosensing applications 30 dic 2023 Nikolaidou, Anna; Chiolerio, Alessandro; Dehshibi, Mohammad Mahd; Adamatzky, Andrew, 2025, "Functionalising the electrical properties of Kombucha zoogleal mats for biosensing applications", https://doi.org/10.5281/ZENODO.10445665 Data acquired from the electrical characterisation of pure and functionalised with graphene and zeolite Y Kombucha mats, including dynamic current-voltage (I-V) profiling, impedance, capacitance, and resistance measurements. Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Data Management Plan for IntelComp. D8.2. 22 dic 2023 Elli Papadopoulou, 2021, "Data Management Plan for IntelComp. D8.2.", https://doi.org/10.5281/ZENODO.5109933 IntelComp sets out to build an innovative Cloud Platform that will offer Artificial Intelligence based services to public administrators and policy makers across Europe for data- and evidence-driven policy design and implementation in the field of Science, Technology, and Innovat... Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.

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 -

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

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

Datos tabulares - 16,3 KB

DataDatos

p3.tab

Datos tabulares - 20,0 KB

DataDatos

p4.tab

Datos tabulares - 14,2 KB

DataDatos

sample-T1DM_munoz-organero_2023_v01_readme.txt

Texto plano - 4,2 KB -

DocumentaciónDocumentation

Functionalising the electrical properties of Kombucha zoogleal mats for biosensing applications

30 dic 2023

Nikolaidou, Anna; Chiolerio, Alessandro; Dehshibi, Mohammad Mahd; Adamatzky, Andrew, 2025, "Functionalising the electrical properties of Kombucha zoogleal mats for biosensing applications", https://doi.org/10.5281/ZENODO.10445665

Data acquired from the electrical characterisation of pure and functionalised with graphene and zeolite Y Kombucha mats, including dynamic current-voltage (I-V) profiling, impedance, capacitance, and resistance measurements.

Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.

Data Management Plan for IntelComp. D8.2.

22 dic 2023

Elli Papadopoulou, 2021, "Data Management Plan for IntelComp. D8.2.", https://doi.org/10.5281/ZENODO.5109933

IntelComp sets out to build an innovative Cloud Platform that will offer Artificial Intelligence based services to public administrators and policy makers across Europe for data- and evidence-driven policy design and implementation in the field of Science, Technology, and Innovat...

Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.

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