https://accedacris.ulpgc.es/jspui/handle/10553/76716 Elementos almacenados en la colección de la ULPGC en Zenodo Sat, 11 Apr 2026 05:15:54 GMT 2026-04-11T05:15:54Z https://accedacris.ulpgc.es/jspui/handle/10553/163001 Title: Sustainability impact assessment test data conducted in "Circular economy action in insular regions by adding value to discarded plastics and agricultural waste (CICEP)" (TED2021-131039B-C31 / TED2021-131039B-C32 / TED2021-131039B-C33) Authors: Campos, Cristina; Cecere, Giuseppe; Rigamonti, Lucia; Bala, Alba; Fullana, Pere; Tarrés, Quim; Espinach, Francesc X.; Delgado-Aguilar, Marc; Cárdenas, José R.; Vega, Gisela; Bordón, Pablo; Paz, Rubén; Monzón, Mario Wed, 01 Jan 2025 00:00:00 GMT https://accedacris.ulpgc.es/jspui/handle/10553/163001 2025-01-01T00:00:00Z https://accedacris.ulpgc.es/jspui/handle/10553/163003 Title: Dataset of 40Ar/39Ar ages from the Canary Islands_Janubio Authors: Meco Cabrera, Joaquín Francisco; Lomoschitz Mora-Figueroa, Alejandro; Koppers, Anthony A. P.; Miggins, Daniel P.; Huertas, María J.; Betancort, Juan F.; Soler Onis, Emilio Description: <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> Wed, 01 Jan 2020 00:00:00 GMT https://accedacris.ulpgc.es/jspui/handle/10553/163003 2020-01-01T00:00:00Z https://accedacris.ulpgc.es/jspui/handle/10553/163006 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/10553/163006 2025-01-01T00:00:00Z https://accedacris.ulpgc.es/jspui/handle/10553/163004 Title: Training and Internal Marketing in Franchises Authors: Domínguez-Falcón, Carmen; Fernández-Monroy, Margarita; Galván-Sánchez, Inmaculada; Ballesteros-Rodríguez, José Luis Description: <p>The purpose of this dataset is to analyse the important role of training (specifically, training relevance and training transfer) in enhancing franchisor-franchisee relationship satisfaction, and its influence upon customer performance (e.g., customer satisfaction, quality service), all driven by an internal marketing (IM) culture. The variables are Seven-point Likert-type scales ranging from 1 (strongly disagree) to 7 (strongly agree).  The Internal Marketing culture variable is measured using a<br>six-item scale based on that of Domíınguez-Falcón et al. (2017). The training relevance scale is composed of three items adapted from Tannenbaum (1997) and Xiao (1996). Training transfer behaviour is measured through three items extracted and adapted from the scale developed by Xiao (1996). Relationship satisfaction is measured through four items extracted from the scale developed by Boyle and Dwyer (1995) and Fernández-Monroy et al. (2018). Customer performance is measured through four items adapted from the scale developed by Sanzo et al. (2012).</p> Mon, 01 Jan 2024 00:00:00 GMT https://accedacris.ulpgc.es/jspui/handle/10553/163004 2024-01-01T00:00:00Z