Elementos almacenados en la colección de la ULPGC en Zenodo https://accedacris.ulpgc.es/jspui/handle/10553/76716 2026-05-02T04:34:07Z 2026-05-02T04:34:07Z Meco Cabrera, Joaquín Francisco Lomoschitz Mora-Figueroa, Alejandro Koppers, Anthony A. P. Miggins, Daniel P. Huertas, María J. Betancort, Juan F. Soler Onis, Emilio https://accedacris.ulpgc.es/jspui/handle/10553/164854 2026-05-01T19:30:26Z 2020-01-01T00:00:00Z

Título: Dataset of 40Ar/39Ar ages from the Canary Islands_Janubio Autores/as: Meco Cabrera, Joaquín Francisco; Lomoschitz Mora-Figueroa, Alejandro; Koppers, Anthony A. P.; Miggins, Daniel P.; Huertas, María J.; Betancort, Juan F.; Soler Onis, Emilio Descripción: <p>Lava dating by means of Ar / Ar radiometric analysis performed by the University of Oregon de las Salinas de Janubio (Lanzarote, Canary Islands).</p>

2020-01-01T00:00:00Z Quevedo-Reina, Román Álamo, Guillermo Aznárez, Juan José https://accedacris.ulpgc.es/jspui/handle/10553/164853 2026-05-01T19:30:26Z 2025-01-01T00:00:00Z

Título: Dataset generated in "ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines" Autores/as: Quevedo-Reina, Román; Álamo, Guillermo; Aznárez, Juan José Descripción: <p>This repository contains the train and test datasets used in the following scientific articles:</p> <ul> <li>"ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines" by Román Quevedo-Reina, Guillermo M. Álamo, Juan J. Aznárez<br>(https://doi.org/10.1016/j.oceaneng.2024.119984)</li> <li>"Feasibility analysis of jacket support structures for offshore wind turbines employing a regression-based artificial neural network model" by Román Quevedo-Reina, Guillermo M. Álamo, Juan J. Aznárez <br>(https://doi.org/10.1016/j.compstruc.2025.108004)</li> </ul> <p>This dataset was used to train the artifficial neural networks described in the papers above and available at:</p> <ul> <li>https://doi.org/10.5281/zenodo.15132439</li> <li>https://doi.org/10.5281/zenodo.15166283</li> </ul>; <p>The datasets are available in two formats: ".mat" (MATLAB file) and ".csv" (comma-separated values).</p> <p>The table contains the following details:</p> <ul> <li>Each row represents a single sample.</li> <li>The matrix has 105 columns, corresponding to the 74 input variables and 31 outputs of the structural model, all of them described in the cited scientific article.</li> </ul>

2025-01-01T00:00:00Z Suárez-Diaz, Mª Eugenia Pacheco-López, Mª Carmen Montesdeoca-Ramírez, Daniela Celia https://accedacris.ulpgc.es/jspui/handle/10553/164851 2026-05-01T19:30:26Z 2022-01-01T00:00:00Z

Título: La enfermera en su rol de gestión. Aproximación a una Zona Básica de Salud Autores/as: Suárez-Diaz, Mª Eugenia; Pacheco-López, Mª Carmen; Montesdeoca-Ramírez, Daniela Celia Descripción: <p>Material docente relacionado con la asignatura 42413- Cuidados Enfermeros en Atención Primaria de la Salud. Seminario impartido el 24 de octubre de 2022</p>

2022-01-01T00:00:00Z Javier Sánchez Agustín Salgado Alejandro García https://accedacris.ulpgc.es/jspui/handle/10553/164852 2026-05-01T19:30:26Z 2022-01-01T00:00:00Z

Título: IDSEM dataset: Source code – v1.0.0. Autores/as: Javier Sánchez; Agustín Salgado; Alejandro García Descripción: <p>Code for the IDSEM dataset, first version. IDSEM is an acronym for "an Invoices Database of the Spanish Electricity Market"</p> <p>This database contains electricity bills related to energy consumption in Spanish households.  The contents of bills are automatically generated using this code. The main purpose of the dataset is for training machine learning algorithms, especially for designing new methods for extracting information from invoices. There are 86 different labels, which are related to several topics, such as the customer and marketer, the contract, energy consumption, or billing.</p> <p>The code relies on a set of dictionaries and template documents for generating many training and test samples. The file format of invoices is PDF and the labels are stored in JSON files.</p> <p>More information can be found at https://idsem.ulpgc.es/ and in the following article:</p> <p>[1] Javier Sánchez, Agustín Salgado, Alejandro García, and Nelson Monzón, "IDSEM, an invoices database of the Spanish electricity market", Sci. Data, (2022).</p> <p><strong>Full Changelog</strong>: <a href="https://github.com/jsanchezperez/idsem/commits/v1.0.0">https://github.com/jsanchezperez/idsem/commits/v1.0.0</a></p>

2022-01-01T00:00:00Z