Repositorio de Datos de la UC3M
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421 a 430 de 990 Resultados
9 ene 2024
Relaño, Carlos; Muñoz, Javier; Monje, Concepción A., 2024, "SoftGP: Gaussian process regression for forward and inverse kinematics of soft robots", https://doi.org/10.21950/Y4AN3E, e-cienciaDatos, V1
The data collected from the soft arm and neck and the Gaussian process models trained using that data.
9 ene 2024
Segura Bedmar, Isabel; Camino Perdones, David; Guerrero Aspizua, Sara, 2024, "NLP4RARE-NER", https://doi.org/10.21950/S2IRKE, e-cienciaDatos, V1
El dataset contiene el código de la implementación y experimentación de los enfoques propuestos en el artículo: Isabel Segura Bedmar, David Camino Perdones, Sara Guerrero Aspizua. (2022). Exploring deep learning methods for recognizing rare diseases and their clinical manifestati...
8 ene 2024
Travieso, Emiliano, 2024, "Coal price composition in Uruguay (1887-1913) and coal prices in Uruguay and New Zealand (1890-1911).", https://doi.org/10.21950/YTND5F, e-cienciaDatos, V1
Coal prices in Uruguay and New Zealand (1890-1911) and coal price composition in Uruguay (1887-1913) reconstructed from primary sources.
8 ene 2024
Travieso, Emiliano, 2024, "Atlas of Uruguayan agriculture, c.1900", https://doi.org/10.21950/17FVAY, e-cienciaDatos, V1
District-level (secciones judiciales) boundary & attribute data for agricultural, geographical, and population variables. All Uruguayan districts c.1900.
8 ene 2024
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...
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.
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.
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.
14 dic 2023
Ramajo-Ballester, Álvaro, 2023, "UC3M-LP Dataset", https://doi.org/10.21950/OS5W4Z, e-cienciaDatos, V1
UC3M-LP is the largest open-source dataset for European license plate detection and recognition and the first one ever for Spanish license plates. It contains 1975 images from 2547 different vehicles and comprising a total of 12757 plate characters.
14 dic 2023
Ramajo-Ballester, Álvaro, 2023, "UC3M-VRI Dataset", https://doi.org/10.21950/MKWOEQ, e-cienciaDatos, V1
UC3M-VRI is a dataset for Vehicle Re-Identification based on visual features. It contains 1611 images from 286 different vehicles. Labels include information about make and model of the vehicle.
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