Resultados de investigación

[EN] The present dataset is the database and image database used to train and test the Convolutional Neural Network models of the scientific paper: Deep Learning algorithm, based on convolutional neural networks, for electrical equivalent electrical circuit recommendation for Electrochemical Impedance Spectroscopy

[EN] This article introduces a nationwide dataset that maps how 112,814 Spanish firms communicate and implement artificial intelligence (AI) on their corporate websites in 2023 and 2025, resulting in 225,628 firm-year observations. Using a systemic pipeline based on large language models (LLMs), website text is segmented, semantically filtered, and evaluated with a structured rubric to identify explicit evidence of AI use in internal processes and in products or services. The dataset offers a detailed portrait of AI adoption across regions (NUTS 3), industries, and firm size categories. For each province–sector–size combination, it reports whether firms adopt AI, whether they apply it internally, whether it is embedded in their offerings, and how many firms have valid website content. This multi-dimensional structure enables users to explore territorial patterns, sectoral differences, and size-related disparities in the uptake of AI. By providing indicators for two benchmark years, the dataset supports the study of how AI adoption evolves across the Spanish business landscape. It offers a reproducible and scalable foundation for research on technological diffusion, regional digitalisation, and industry-level transformation, and can be readily extended to future years or adapted to other countries.

[EN] Buildings have become a key source of greenhouse gas (GHG) emissions due to the consumption of primary energy, especially when used to achieve thermal comfort conditions. In addition, buildings play a key role for adapting societies to climate change by achieving more energy efficiency. Therefore, buildings have become a key sector to tackle climate change at the local level. However, public decision-makers do not have tools with enough spatial resolution to prioritise and focus the available resources and efforts in an efficient manner. The objective of the research is to develop an innovative methodology based on a geographic information system (GIS) for mapping primary energy consumption and GHG emissions in buildings in cities according to energy efficiency certificates

This dataset is about the experimental results obtained and published in the article by authors Iván Patrao, Raul González-Medina, Gabriel Garcerá and Emilio Figueres Amorós, "An Algorithm for Emulating Photovoltaic Strings With Dynamic Partial Shadowing Capability: A Practical Study". IEEE Industrial Electronics Magazine. 17, pp. 61 - 69. 2023. ISSN 1932-4529. DOI: 10.1109/MIE.2022.3151017 In this paper a low computational cost algorithm for emulating PV strings with dynamic partial shadowing capability is presented, suitable for microcontroller-based emulators. It is based on the emulator proposed in reference [16]. The developed algorithm rebuilds the I-V curve of the whole string on-the-fly, according to an irradiance and temperature time-varying profile for each panel.

Mesenchymal stem cells (MSCs) osteogenic commitment before injection enhances bone regen-eration therapy results. Piezoelectric stimulation may be an effective cue to promote MSC pre-differentiation, and poly(vinylidene) fluoride (PVDF) cell culture supports, when combined with CoFe2O4 (CFO), offer a wireless in vitro stimulation strategy. Under an external magnetic field, CFO shift and magnetostriction deform the polymer matrix varying the polymer surface charge due to the piezoelectric effect. To test the effect of piezoelectric stimulation on MSCs, our approach is based on a gelatin hydrogel with embedded MSCs and PVDF-CFO electroactive mi-crospheres. Microspheres were produced by electrospray technique, favouring CFO incorpora-tion, crystallisation in -phase (85 %) and a crystallinity degree of around 55 %. The absence of cytotoxicity of the 3D construct was confirmed 24 hours after cell encapsulation. Cells were via-ble, evenly distributed in the hydrogel matrix and surrounded by microspheres, allowing local stimulation. Hydrogels were stimulated using a magnetic bioreactor, and no significant changes were observed in MSCs proliferation in short or long term. Nevertheless, piezoelectric stimula-tion upregulated RUNX2 expression after 7 days, indicating the activation of the osteogenic dif-ferentiation pathway. These results open the door for optimising a stimulation protocol allow-ing the application of the magnetically activated 3D electroactive cell culture support for MSCs pre-differentiation before transplantation.

This dataset includes the raw data used to carry out a study related to the analysis of the DORA Declaration on Twitter. The dataset includes the tweets collected from the Twitter Academic API (comprising three collections: tweets published by DORA, tweets mentioning DORA, and tweets including a DORA-related hashtag), supplementary material (including extra tables and figures), and the script used to collect data from Twitch API.

[EN] The integration of autonomous vehicles (AVs) into road transport requires robust ex-perimental tools to analyze human–machine interaction, particularly under conditions of system disengagement. This study presents the development and validation of the EVACH autonomous driving simulator, designed to reproduce SAE Level 2 and Level 3 driving modes in rural road scenarios. The simulator was customized through hardware and software developments, including a dedicated data acquisition system to ensure accurate detection of braking, steering, and other critical control inputs. Calibration tests demonstrated high reliability, with minor errors in brake and steering control meas-urements, consistent with values observed in production vehicles. To validate the virtual driving rural environment, comparative experiments were conducted between natu-ralistic road tests and simulator-based autonomous driving. Results showed that average speeds in simulation closely matched those recorded on real roads, with differences of less than 1 km/h and significantly lower variability. These findings confirm that the EVACH simulator provides a stable and faithful reproduction of autonomous driving conditions. The platform represents a validated and versatile tool for evaluating driver workload, takeover performance, and human–machine interaction, offering valuable support for current and future research on the safe deployment of automated vehicles.

This dataset includes supplementary material (code, raw data) created and collected to support a study on the visibility of Spanish Institutional Repositories on Google Search results.

This dataset contains the raw data of the measurements presented in the paper "Hardware Architecture of a QAM Receiver for Short-Range Optical Communications" (https://doi.org/10.1109/JLT.2022.3217357). Data presents the BER and EVM measurements made by changing the optical power transmitted for the proposed modulator.

El texto completo del artículo en el que se han utilizado estos datos se ha publicado en la revista Economic History Review 67.3 (2014): 607-626 y está disponbile en http://dx.doi.org/10.1111/1468-0289.12047, The dataset that supports the findings of this study are archived in the Universidad Autónoma de Madrid data repository e‐cienciaDatos in https://doi.org/10.21950/5SCIIO, Datos de investigación generados por José Ignacio Andrés Ucendo (Universidad del País Vasco) y Ramón Lanza García (Universidad Autónoma de Madrid) y utilizados en la elaboración del artículo "Prices and real wages in seventeeth-century in Madrid" que se ha publicado en la revista Economic Historic Review 67.3 (2014): 607-626, Research data compiled by José Ignacio Ucendo (Universidad del País Vasco) and Ramón Lanza García (Universidad Autónoma de Madrid) and used in the article "Prices and real wages in seventeeth-century in Madrid". This article is published by the Economic History Review 67.3 (2014): 607-626, Funding for the research was provided by the Spanish Economy Ministry through the projects ‘Ciudades, gentes e intercambios en la Monarquía Hispánica: política económica, cambio institucional y desarrollo de los mercados en la Edad Moderna’ (HAR2012-39034-C03-02) and ‘Consumo, niveles de vida y desigualdad en España, 1400–1870’ (HAR 2012-35965)