https://accedacris.ulpgc.es:443 The accedaCRIS digital repository system captures, stores, indexes, preserves, and distributes digital research material. Sun, 19 Apr 2026 09:07:53 GMT 2026-04-19T09:07:53Z https://accedacris.ulpgc.es/jspui/handle/10553/163703 Title: Cuestionarios y bases de datos del proyecto "La orientación de los centros de transfusión de sangre españoles hacia sus principales stakeholders desde una perspectiva de capital social y su influencia en la performance" (ORCETRASA-ECO2015-64875-R) Authors: Martín-Santana, Josefa D.; Beerli-Palacio, Asunción; Cabrera-Suárez, M. Katiuska; Déniz-Déniz, María Cruz; Reinares Lara, Eva; Romero-Domínguez, Laura; Sánchez Rodríguez, Carmen Dolores; Robaina-Calderín, Lorena Description: <p>Este dataset está compuesto por dos cuestionarios (formato .pdf) y dos bases de datos (formato .csv). El fichero "CUESTIONARIO DONANTES PROYECTO ORCETRASA", que consta de 26 preguntas y cuyas respuestas se corresponden con las columnas de la base de datos "BASE DONANTES PROYECTO ORCETRASA". Y el fichero "CUESTIONARIO CENTROS PROYECTO ORCETRASA", que consta de 20 preguntas y cuyas respuestas se corresponden con las columnas de la base de datos "BASE CENTROS PROYECTO ORCETRASA".</p> Mon, 01 Jan 2024 00:00:00 GMT https://accedacris.ulpgc.es/jspui/handle/10553/163703 2024-01-01T00:00:00Z https://accedacris.ulpgc.es/jspui/handle/10553/163700 Title: Dataset generated in "ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines" Authors: Quevedo-Reina, Román; Álamo, Guillermo; Aznárez, Juan José Description: <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> Wed, 01 Jan 2025 00:00:00 GMT https://accedacris.ulpgc.es/jspui/handle/10553/163700 2025-01-01T00:00:00Z https://accedacris.ulpgc.es/jspui/handle/10553/163702 Title: IDSEM dataset: Source code – v1.0.0. Authors: Javier Sánchez; Agustín Salgado; Alejandro García Description: <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> Sat, 01 Jan 2022 00:00:00 GMT https://accedacris.ulpgc.es/jspui/handle/10553/163702 2022-01-01T00:00:00Z https://accedacris.ulpgc.es/jspui/handle/10553/163699 Title: Dataset revisión sistemática de versiones abreviadas del PCAT (PCAT short forms) Authors: Lopez García, Alberto; Barber Pérez, Patricia Description: <div>Este dataset contiene los materiales complementarios asociados a la revisión sistemática de versiones abreviadas del Primary Care Assessment Tool (PCAT) y su mapeo conceptual con los Objetivos de Desarrollo Sostenible (ODS) 2030. Incluye el protocolo PRISMA 2020, matrices de extracción de ítems, diagrama PRISMA, listado de estudios incluidos y archivos de datos en formato abierto. El objetivo es facilitar la reproducibilidad y el acceso abierto a la evidencia sintetizada.</div> Wed, 01 Jan 2025 00:00:00 GMT https://accedacris.ulpgc.es/jspui/handle/10553/163699 2025-01-01T00:00:00Z