Resultados de investigación

Conjunto de datos cuantitativo de corte transversal compuesto por 200 registros y 51 variables, construido a partir de un cuestionario dirigido a profesorado. El dataset integra variables de identificación y perfil profesional, formación académica, especialización en enseñanza de lenguas, experiencia docente, contextos institucionales, competencia lingüística y experiencia de inmersión, junto con bloques de evaluación sobre enfoques didácticos, motivación intrínseca, motivación extrínseca, factores institucionales, clima de aula, autoeficacia docente y engagement. Su estructura permite analizar de forma empírica la relación entre condiciones profesionales, percepciones del contexto educativo y dimensiones psicoeducativas asociadas a la motivación para la enseñanza del inglés como lengua extranjera.

This dataset corresponds to a study aimed at investigating the environmental impact of an innovative system proposed for residential buildings in Continental climate through a life cycle assessment. The data refer to both the innovative system and a standard reference system, which was considered for comparison purposes. Data used for a parametric study of the innovative system are also included in this dataset.

This dataset corresponds to a study aimed at investigating the environmental impact of an innovative system proposed for residential buildings in Mediterranean climate through a life cycle assessment. The data refer to both the innovative system and a standard reference system, which was considered for comparison purposes. Data used for a parametric study of the innovative system are also included in this dataset.

Electrophysiology data from Trichromatic retina is highly conserved among tortricid moths. Spectral sensitivity data under dark adapted, green adapted, blue adapted and ultraviolet adapted conditions for three species of tortricids with different diel activities. Spectral sensitivity data from intracellular recordings of Cydia pommonella males and females. Responses of the three species of tortricids under a flickering light at different frequencies to obtain the temporal resolution of the photoreceptors.

This dataset contains data and R script for statistical analysis and graphics presented in the publication related to this data set (Amat et al 2023. XXXXX). The data cointained in this dataset correspond to the oviposition behaiviour of Lobesia botrana, Grapholita molesta and Cydia pomonella to five gustatori stimuli (Fructose, Sucrose, NaCl, KCl and Neem oil).

A high-throughput untargeted lipidomic analysis was applied in plasma samples of 213 subjects (20 controls, 89 mild cognitive impairment, 104 Alzhimer's disease). Age, sex, cognitive evaluation results and alzheimer's disease cerebrospinal fluid biomarkers were also included.

The Corpus Gold Standard TAGFACT v.0.1 is a Spanish corpus manually annotated with factuality information. The corpus consists of 11 news items (basically political), with a total of 5,240 words (approximately 160 sentences) extracted from newspapers. They are all newspapers published in Spain and, predictably, are mostly in peninsular Spanish. The corpus has been manually annotated with information about factuality of 633 predicates. Six linguists worked on it, all of whom had undergone training. The analysis of inter-annotator agreement was made in pairs, a total of 30, and, on average, the result was acceptable. Two XML versions of the Corpus Gold Standard TAGFACT v.0.1 are available. In each one different tagsets (defined with more or less abstraction) have been used, but equivalences have been stablished.

This study conducts research on deepfakes technology evolution and trends based on a bibliometric analysis of the articles published on this topic along with six research questions: What are the main research areas of the articles in deepfakes? What are the main current topics in deepfakes research and how are they related? Which are the trends in deepfakes research? How do topics in deepfakes research change over time? Who is researching deepfakes? Who is funding deepfakes research? We have found a total of 331 research articles about deepfakes in an analysis carried out on the Web of Science and Scopus databases. This data serves to provide a complete overview of deepfakes. Main insights include: different areas in which deepfakes research is being performed; which areas are the emerging ones, those that are considered basic, and those that currently have the most potential for development; most studied topics on deepfakes research, including the different artificial intelligence methods applied; emerging and niche topics; relationships among the most prominent researchers; the countries where deepfakes research is performed; main funding institutions. This paper identifies the current trends and opportunities in deepfakes research for practitioners and researchers who want to get into this topic.

We collected drone images using multispectral and RGB sensors for 56 adult populations of P. halepensis categorized into five ecotypes growing in two common gardens located in Spain under contrasting conditions (Zuera: dry-continental versus Altura: wet-coastal). In Zuera trial, we additionally monitored the temporal variation of RGB-derived indexes using two flights spaced over a one-month period (dataset VIs). We also performed four consecutive ground measurements of needle pigments and fuel moisture content (dataset insitu) and obtained litter flammability traits (dataset Litter_flammability) for a subset of populations.

High-throughput targeted lipidomic data obtained from biological replicates (n=12) of four cellular models of Alexander disease using U-87 MG non-transfected and GFP-GFAP expressing cells (WT, R239C, R239G, R79C, and E373K variants).