Resultados de investigación

El presente Dataset recoge la información y resultados derivados del estudio titulado “Acoso escolar, percepción subjetiva y práctica deportiva en la adolescencia: un estudio del sistema educativo andorrano” que incluyó a 353 estudiantes de secundaria del sistema educativo andorrano con edades aproximadas entre 12 y 17 años procedentes del sistema educativo andorrano. El archivo de datos en formato .sav contiene variables anonimizadas como género, edad, ciclo, práctica deportiva (con variables que recogen si se practica deporte y el tipo de deporte individual o de equipo), percepción subjetiva de haber sufrido acoso escolar y las puntuaciones obtenidas en las dimensiones del Autotest de Cisneros incluyendo hostigamiento verbal, exclusión social, intimidación, acoso físico, desprecio y ridiculización así como el índice general de acoso escolar calculado como suma de los 50 ítems del test. También se incluye un archivo SPV con los resultados del análisis estadístico realizado en SPSS Statistics 30.0 donde se recogen estadísticas descriptivas de la muestra con frecuencias medias y desviaciones estándar, pruebas de normalidad, comparaciones de grupos mediante la prueba U de Mann-Whitney para analizar diferencias en el índice de acoso escolar según género y tipo de práctica deportiva individual o de equipo y modelos de regresión logística binaria para predecir la percepción subjetiva de acoso escolar en función de las dimensiones del Autotest de Cisneros. El análisis mostró una prevalencia del 29.30% en el criterio objetivo del Autotest de Cisneros con discrepancias significativas entre la percepción subjetiva y la evaluación objetiva del acoso escolar. Todos los datos del estudio han sido anonimizados y son reproducibles a efectos de consulta y análisis posterior. (2025-07-16)

This dataset contains responses from 519 preservice teachers enrolled at two universities in Catalonia, Spain (University of Barcelona and University of Lleida). Data were collected using the EU Survey platform, through an online questionnaire comprising four validated psychological instruments: the Multicultural Efficacy Scale (Guyton & Wesche, 2005), the Cultural Intelligence Scale (Ang et al., 2015), the Scale of Ethnocultural Empathy (Wang et al., 2003), and the Multicultural Ideology Scale (Berry, 2005). The dataset contains baseline or pre-test survey responses collected as part of a larger research project evaluating the impact of a training programme on preservice teachers' multicultural self-efficacy and related attitudinal and cognitive variables. The data support research on how preservice teachers perceive and engage with cultural and linguistic diversity in classrooms.

This dataset corresponds to a study aimed at investigate the parameters influencing the design of a test box used to evaluate the performance of Daytime Radiative Cooling (DRC) materials. The files of the data set correspond to time series for several days in summer showing the evolution of temperature on the surface of the DRC material or the air gap between the surface and the windshield. Each file corresponds to a particular parameter, which is studied in a side-by-side methodology. Each file is associated to a figure of the paper "Experimental Investigation of Parameters Influencing Test Box and Material Behavior in Daytime Radiative Cooling Measurements".

Recent technological advancements in Artificial Intelligence make it easy to create deepfakes, hyper-realistic videos in which images and video clips are processed to create fake videos that appear authentic. Many of them are based on swapping faces without the consent of the person whose appearance and voice are used. As emotions are inherent in human communication, studying how deepfakes transfer emotional expressions from original to fakes is relevant. In this work, we conduct an in-depth study on facial emotional expression in deepfakes using a well-known face swap-based deepfake database. First, we extracted the photograms from their videos. Then, we analyzed the emotional expression in both the original and the faked versions of the video recordings for all performers in the database. Results show that emotional expressions are not adequately transferred between original recordings and the deepfakes created from them. The high variability in emotions and performers detected between original and fake recordings indicates that performer emotion expressiveness should be considered for better deepfake generation or for detecting them.

The aim of GLOCALSA IT infrastructure centres around the development of a smartphone app to gather data throughout students’ participation in a stay abroad using the Experience Sampling Method (ESM) (Csíkszentimihályi & Larson 1987). The system developed by the company CompsaOnline, SL for the GLOCALSA project is centralized on a server that hosts a PHP Laravel Filament project. This project integrates four components: a database where the data collected are stored; an API; an administration panel (Filament), and a front-end. In addition, the system includes a mobile application developed with Flutter, available for both iOS and Android, which connects to the API as well as to the front-end encapsulated in web views. The download package includes all the code of the IT infrastructure and a document with a basic description of the contents and instructions for use. Another document with a narrative explanation of the IT is also included.

Includes the experimental results of the microbial transformation through submerged fermentation with bacteria, of agro-industrial fibre-rich by-products, for the production of functional beverages, evaluating the antioxidant capacity.

Este conjunto de datos recoge, de un lado, los textos completos de los escenarios de casos utilizados y, de otro, los resultados de las regresiones logísticas realizadas en el estudio de la violencia por causa de honor entre población joven universitaria en Cataluña. Los datos provienen de una encuesta realizada a 3.005 estudiantes que pretende analizar la percepción de esta forma de violencia y la respuesta jurídica considerada adecuada.

Conjunt de dades amb mesures metabòliques, elèctriques i mecàniques del genoll abans i després del protocol FIFA 11+ en 46 futbolistes recreatius (23 homes i 23 dones). El conjunt inclou valors de saturació muscular d’oxigen (SmO?), electromiografia superficial (EMG), força isomètrica màxima (MVC), taxa de desenvolupament de força (RFD), impuls, i propietats mecàniques del teixit muscular (MyotonPro®). This dataset includes metabolic, electrical, and mechanical knee measurements taken before and after the FIFA 11+ warm-up in 46 recreational soccer players (23 males and 23 females). It comprises muscle oxygen saturation (SmO?), surface EMG, maximal isometric contraction (MVC), rate of force development (RFD), impulse, and tissue mechanical properties (MyotonPro®).

El conjunt de dades recull mesures mecàniques, neuromusculars, tèrmiques i de rendiment del turmell obtingudes en 120 futbolistes (60 homes, 60 dones) abans i després de l’escalfament FIFA 11+. Les dades inclouen propietats mecàniques dels teixits (MyotonPro®), saturació muscular d’oxigen (SmO?, NIRS), rang articular (WBLT), força dels flexors plantars (dinamòmetre), temperatura cutània (termografia) i proves de rendiment específiques (CMJ, radar i 505 test). This dataset contains mechanical, neuromuscular, thermal and performance data from 120 soccer players (60 males, 60 females) before and after the FIFA 11+ warm-up. It includes tissue mechanical properties (MyotonPro®), muscle oxygen saturation (SmO?, NIRS), range of motion (WBLT), plantar-flexor strength (dynamometer), skin temperature (thermography), and performance tests (CMJ, radar and 505 agility test).

This dataset compiles the information collected during the first phase of the Delphi process carried out within the framework of the REFORADAPT project, with the support of Fundación Biodiversidad of the Spanish Ministry for the Ecological Transition and the Demographic Challenge, through its grant programme for projects contributing to the implementation of the National Climate Change Adaptation Plan 2021–2030. In this stage, more than 60 experts in forest restoration and adaptation in Spain participated through an online questionnaire, representing academia, public administration, the private sector, and non-governmental organisations. The process aimed to gather and analyse information structured around three thematic blocks. The first focused on assessing the degree of consensus regarding definitions of forest restoration and forest adaptation to climate change, based on a set of proposed statements. The second addressed the identification and prioritisation of the main challenges, opportunities, and needs related to forest restoration and adaptation to climate change in the Spanish context. The third dealt with the evaluation of the relevance of different indicators for measuring the success of forest restoration projects, including both those proposed in the EU Nature Restoration Law and others drawn from scientific literature. The dataset includes anonymised responses from participants, along with descriptive variables that allow for the analysis of the diversity of profiles and opinions within the expert group. It contains information on the topics evaluated and the ratings assigned in each thematic block. The dataset is provided in four CSV files: three corresponding to the thematic blocks (concepts, challenges, and indicators), and a fourth containing information on the participants’ profiles. In these files, each row represents a participant and each column corresponds to an associated variable. A README file is also included, providing detailed descriptions of the variables and associated metadata.