e-cienciaDatos
Not a member yet
1765 research outputs found
Sort by
Dataset on student evaluations of a BARS questionnaire designed for blended learning teaching modalities
No full textThis dataset is linked to a research project analyzing the validity and reliability of a BARS questionnaire designed to measure teaching effectiveness in blended learning programs, using a sample of students enrolled in these programs.
Variables: Age, Gender, Degree, Introduction to the subject, Description of the assessment system, Time management, General availability, Organizational coherence, Implementation of the assessment system, Answering questions, Explanatory capacity, Ease of follow-up, Overall satisfaction
Bullet impact images dataset on different materials for forensic ballistics applications
No full textDescription of the project.
This project aims to advance the field of forensic ballistics by creating a large, controlled dataset
of bullet impact images to train deep learning models for automatic trajectory reconstruction. The dataset
was generated in collaboration with the Criminalistics Service of the Spanish Civil Guard to ensure
real-world relevance and accuracy. Without this collaboration, this dataset would not have been possible.
Description of the dataset.
The dataset consists of 1,800 high-resolution images (in PNG format) of bullet impact holes, captured under
controlled laboratory conditions. It covers six drift angles (15°, 30°, 45°, 60°, 75°, 90°) on two common
building materials, frequently encountered in forensic investigations: particleboard and drywall. Each angle
category contains 300 images, equally split between the two materials (150 images for particleboard and 150
images for drywall).</p
Elevation, rather than land use cause important dietary shifts in the Mediterranean golden eagle
No full text PROJECT DESCRIPTION
Apex predators play a crucial role in maintaining ecosystem functioning and biodiversity, so studying their diet is key to understanding habitat dynamics. In the context of global change, predators must adapt to both natural ecological gradients such as elevation, and human-driven impacts, including climate and land use changes.
Using camera traps, we assessed the diet of Mediterranean golden eagles (Aquila chrysaetos homeyeri) across the Iberian Peninsula.
We reviewed 520,282 images collected over 1365 monitoring days, spanning 50 distinct reproductive events over four breeding seasons (2017-2020).
We analyzed the frequency and biomass of each prey species in relation to elevation and land use, which have recently experienced significant anthropogenic changes, mostly due to climate change and rural abandonment. Elevation emerged as the primary driver of dietary variation, with consistent shifts across land-use categories.
Lagomorphs and Columbiformes dominated their diet at lower elevation, while wild ungulates, passerines, and reptiles increased at higher elevations. Furthermore, prey diversification was greater at higher elevations for all land uses.
Despite lagomorphs remaining the most consumed prey, wild ungulates (mostly roe deer) and reptiles represented a higher proportion than previous studies. Rural abandonment and climate change are reshaping prey communities in the Iberian Peninsula.
Our findings highlight the high adaptability of golden eagles to changes in prey availability, driven by anthropogenic global change.
DATA DESCRIPTION
The dataset is part of the AEQUILIBRIUM+ project data from 2017 to 2020. The publicly available information consists of two types: databases on prey, land use, and territorial information, as well as R scripts to perform the study analysis. The published contents are as follows:
Databases: xlsx format (2 files).
Scripts: .R format (7 files).</p
Rib Cage IMU and sEMG Dataset: Kinematics and Respiratory Muscle Activation
No full textThis dataset originates from a validation study of a novel, portable protocol designed for the functional assessment of breathing, particularly relevant to clinical areas such as respiratory rehabilitation and physical therapy.
The methodology combines Inertial Measurement Units (IMUs) and Surface Electromyography (sEMG) (using the Delsys Trigno Avanti™ system) to allow for the simultaneous analysis of rib cage movement (kinematics) and accessory muscle activity (rectus abdominis activation).
The protocol was validated in a small sample of nine (n=9) healthy volunteers, categorized by lifestyle (smokers, athletes, and unclassified individuals).
Data were collected by placing eight sensors on key ribs (II, VI, X, XI) and the rectus abdominis muscle while participants performed three specific breathing modes: Normal Breathing, Maximal Breathing, and voluntary Coughing.
This approach successfully detects differences in respiratory patterns associated with lifestyle factors, demonstrating its potential as an objective clinical tool for functional assessment
Perfectionism and academic engagement, the mediating role of passion for the studies
No full textThis dataset includes responses from 545 distance-learning university students who participated in a study analyzing the relationship between perfectionism and academic engagement, and the mediating role of passion. The dataset contains scores from validated questionnaires measuring Academic Engagement, Perfectionism (self-oriented and socially prescribed), and Passion (harmonious and obsessive), along with sociodemographic data such as age, gender, university affiliation, and field of study. The study employed a quasi-experimental design and mediation analyses using Partial Least Squares (PLS) with SmartPLS software
Coke evolution in simulated bio-oil aqueous fraction steam reforming using Co/SBA-15
No full textThis database includes all the data from figures included in the publication: "Coke evolution in simulated bio-oil aqueous fraction steam reforming using Co/SBA 15
Conjunto de datos para el análisis de aplicaciones de radio-localización en interiores y exteriores utilizando técnicas del trazado de rayos
No full textLa información incluida en este dataset representa simulaciones de radio-propagación realizadas con la herramienta newFASANT en dos escenarios, una zona interior del Edificio Politécnico de Madrid y una zona exterior de la Terminal 4 en el Aeropuerto Internacional de Madrid-Barajas Adolfo-Suarez. Las simulaciones permiten aplicar técnicas de radio-propagación en interiores y exteriores utilizando el trazado de rayos, tanto con niveles de potencia como con retardos relativos entre rayos debidos a efectos de orden multiple. Los datos permiten estudiar técnicas fingerprinting tomando como referencia el radio-map del area simulado y una serie de blancos a localizar dentro del mismo area. Los datos incluyen diferentes escenarios dónde se varia la granularidad de las huellas utilizadas en el radio map, así como el número de antenas y el numero de blancos a localizar
Effect of fermentation and baking on tropane, opium, and pyrrolizidine alkaloids during the homemade preparation of gluten-free bread with poppy seeds and aromatic herbs
No full textThis study investigated the effect of bread-making on the fate of 29 different tropane (TAs), opium (OAs), and pyrrolizidine (PAs) alkaloids. The variation in the content of these compounds was determined during the fermentation stage and subsequently after baking. Doughs were prepared with ingredients that were likely to be naturally contaminated and those analytes that were not naturally present were also added to monitor them through the process. In general, fermentation led to reductions in the content of TAs, OAs and PAs, with some exceptions. In contrast, fermentation plus baking resulted in greater variability, producing increases and decreases depending on the compounds. These findings emphasize the compound-specific and process-dependent nature of alkaloid transformations during bread-making and highlight that while the processes can reduce alkaloid levels, significant residues may persist or even increase due to interconversion, underscoring the importance of evaluating food processing effects on chemical contaminants in a compound-specific manner
The Financial Document Causality Detection Shared Task (FinCausal 2026): Dataset
No full textThe Financial Document Causality Detection Shared Task (FinCausal 2026) aims to improve causality identification in the financial domain through its texts. This shared task focuses on determining the causality associated with both events and quantified facts. For this task, a cause can be the justification of a statement or the reason explaining an outcome; therefore, it is a relation detection task.
The changes introduced in the 2026 edition compared to the 2025 edition are numerous. These improvements include an exhaustive review of the datasets to eliminate ambiguities, the expansion of the corpus with more than 500 new fragments for each language featuring complex causal structures—such as chains of three or more elements—and the reformulation of abstractive questions in 10% of the cases to require advanced reasoning. Additionally, a new evaluation metric based on "LLM-as-a-judge" has been implemented to assess the adequacy of the answers, aligning with current state-of-the-art practices. Using an "LLM-as-a-judge" consists of employing a language model specifically instructed to generate ratings from 1 to 5 following a specific set of criteria, which somewhat mimics human evaluation.
Participants, given the context and the abstractive question, must extract the literal answer from the context that responds to that question. The questions seek causal-type relationships, whether they are the cause or the effect. The dataset for the Spanish subtask has been extracted from a corpus of Spanish annual financial reports from 2014 to 2018 (FinT-esp), while the English subtask uses the English version of the 2018 bilingual Spanish-English corpus of these reports, along with several annual financial reports from the Lancaster UCREL research team corpus.
Participants receive a CSV file with the following fields: ID; Text; Question; Answer. The conventional way to participate is to fine-tune a model using data annotated by linguists (including Inter-Annotator Agreement, IAA) and subsequently use the fine-tuned model to predict the "ANSWER" field of the test set. This publication refers to the competition dataset, specifically the training split with its answers and the test split without answers (since it needs to be evaluated). There are 2,000 samples per language for training, 500 for the English test set, and 503 for the Spanish test set.
This is a dataset from the FinCausal 2026 competition. It is designed for participants to use it to fine-tune their models and complete the task with the highest possible similarity to the gold standard, according to the established metrics.
It consists of texts annotated by linguists, where a context, an abstractive question, and its corresponding extractive answer—which addresses the causal nature of the question—are provided.
There are two versions available: one in English and one in Spanish.</p
Datos de uso de "polarización" en prensa digital española
No full text200 publicaciones, 100 de El Mundo y 100 de El País, del año 2021 que contengan la palabra "polarización