DadosIPB Instituto Politecnico de Bragança
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Systematic Review of Ontologies in the Energy Domain to Enable Knowledge Representation in Local Electricity Markets
No full textThis dataset include the source code for the data extraction that supports the findings of the Systematic Review of Ontologies in the Energy Domain to enable Knowledge Representation in Local Electricity Markets, and the result sheets from each step of this analysis, from the articles retrival to the data and indicators extraction, comparison and evaluation
Long-term effects of multicomponent training on body composition and physical fitness in breast cancer survivors: a controlled study
No full textThis study aimed to evaluate the impact of a multicomponent training intervention on breast cancer survivors’ physical fitness and body composition. This experimental and controlled study included 19 breast cancer survivors with 64.0 ± 8.6 years, to evaluate long-term effects (32 weeks) of multicomponent training on body composition [body weight (kg), body mass index, body fat (%), lean mass (kg), body water (%), basal metabolism (Kcal) and visceral fat (index)] and physical fitness [Upper limb strength (repetitions), lower limb strength (repetitions), upper limb flexibility (cm), lower limb
flexibility (cm), dynamic balance (seconds), and aerobic fitness (repetitions)]. Bayesian statistical tests were employed to analyze the reduced dataset size, considering a Bayes factor ≥ 10 as the cutoff for significant differences. Hierarchical clustering identified participant improvements using Manhattan distance, and clusters were ranked by responsiveness. After 32 weeks, the experimental group showed significant reductions in body weight (Δ = − 1.67 kg; BF = 15.15; Cohen’s d = 0.19) and body fat
percentage (Δ = − 3.99%; BF = 34.87; Cohen’s d = 0.73), while no relevant changes were observed in the control group. Improvements were also observed in upper limb strength (Δ = + 14.14 reps; BF = 1022.02; Cohen’s d = 3.45), strength in the surgically affected arm (Δ = + 13.57 reps; BF = 121.39; Cohen’s d = 2.37), lower limb strength (Δ = + 7.86 reps; BF = 206.55; Cohen’s d = 2.24), and aerobic fitness (Δ = + 97.57 reps; BF = 157.28; Cohen’s d = 0.10). Flexibility and dynamic balance also improved, with
moderate to large effect sizes. The multicomponent physical exercise program effectively improved all physical fitness variables but was limited in body composition, exposing improvements only in body weight and % body fat. The intervention did not cause any side effects or injury to the participants
Volume 3: Development of digital scenarios for innovative courses
No full textThis volume explores the strategic development of digital learning environments to support innovative pedagogical approaches in higher education. It presents an in-depth examination of digital tools and methodologies—including Learning Management Systems (LMS), virtual assistants, augmented and virtual reality (AR/VR), and mobile learning—that enable the creation of immersive, flexible, and learner-centered educational experiences. Grounded in contemporary learning theories such as constructivism, sociocultural theory, and connectivism, the volume offers educators practical insights into how to design, implement, and evaluate technology-enhanced learning environments that are both effective and inclusive. The work also addresses the integration of emerging technologies with active methodologies like gamification, problem-based learning, and design thinking to foster motivation, engagement, and deep learning.
The book emphasizes a holistic and sustainable approach to digital transformation in education, considering pedagogical, technological, institutional, and ethical dimensions. It outlines best practices for creating accessible, secure, and learner-driven digital scenarios while highlighting the importance of teacher training, inclusive design, and continuous evaluation. By providing comprehensive guidelines and case-based discussions, this volume equips educators, instructional designers, and policymakers with the knowledge and tools to lead educational innovation in a digitally connected and rapidly evolving academic landscape
Comunidade Intermunicipal das Terras de Trás-os-Montes, CIM-TTM (Zeive, Vilarinho de Cova de Lua, São Joanico) / Top-view RGB Images Dataset (Canopy Imagery)
No full textThis collection of datasets comprises top-view RGB image samples acquired using a LiDAR L1 Zenmuse sensor transported by a MATRICE 300 RTK UAV, and processed with QGIS v3.34.11 software. The RGB images and elevation values were extracted from point clouds through rasterized models with a resolution of 10x10 centimeters per pixel. The datasets were collected from forested areas in Portugal, including regions dominated by Quercus pyrenaica Willd. and Pinus pinaster Ait., during specific periods to capture relevant vegetation characteristics. Each dataset contains top-view RGB images (canopy imagery) with resolutions of 16x16, 32x32, or 64x64 pixels, and each sample is assigned a unique identifier (filename). The PNG files show the initials of their respective datasets, with "SJ" for samples from São Joanico, "V" for Vilarinho de Cova de Lua, and "Z" for Zeive. All datasets have additional descriptions stored in TXT files. Some datasets include labeled values stored in CSV files, which provide information such as average tree height above 1.3 meters, normalized total height, and vegetation coverage density. These datasets are suitable for applications such as tree height analysis, forest inventories, vegetation coverage studies, carbon studies, and other related research. The data collection was conducted as part of the iCarbono (icarbono.ipb.pt) and LIFE SILFORE projects
Data supporting "3D printed photopolymer derived carbon catalysts for enhanced wet peroxide oxidation"
No full textThe Excel file “DATASET CEJ 499 – 2024 – 156574.xlsx” contains the experimental data supporting the publication “3D printed photopolymer-derived carbon catalysts for enhanced wet peroxide oxidation” (Chemical Engineering Journal 499 (2024) 156574, https://doi.org/10.1016/j.cej.2024.156574). It includes raw and processed results from batch and continuous CWPO experiments for the degradation of paracetamol (PCM) using powdered and monolithic carbon catalysts obtained from 3D-printed photopolymers. The dataset covers catalyst nomenclature, textural and surface-chemistry characterization (BET, TGA, elemental analysis, pHPZC, acidity/basicity), adsorption and desorption tests, hydrogen-peroxide decomposition, pollutant and TOC conversion profiles, and reusability/continuous-flow performance data. For the experiments performed in triplicate, namely liquid-phase experiments, only the average result is reported. All measurements correspond to the materials and experimental procedures detailed in the associated article. Units, abbreviations, and variable names follow the notation used in the paper’s figures and tables
sEMG Signals of Forearm Muscles during Maximal, Sustained, and Dynamic Hand Contractions
No full textThis dataset contains raw surface electromyography (sEMG) signals and associated metadata from 15 healthy volunteers (8 male, 7 female, aged 20-25) collected for the study of neuromuscular asymmetry between dominant and non-dominant forearms. The data was acquired using a BITalino® system at a sampling rate of 1000 Hz.
For each volunteer, sEMG signals were recorded bilaterally from the Flexor Digitorum Superficialis (FDS) and Flexor Carpi Radialis (FCR) muscles during three distinct hand compression tasks:
1. Task A: Maximum Voluntary Contraction (MVC), with corresponding maximum force measurements in kg.
2. Task B: Sustained isometric contraction against a constant load for 30-45 seconds.
3. Task C: A series of 10 successive, light dynamic contractions.
The volunteer cohort is comprised of healthy individuals with no history of neuromuscular or musculoskeletal disorders. This dataset is intended for research in biomechanics, biomedical signal processing, sports science, and rehabilitation, particularly for studies involving neuromuscular asymmetry, fatigue, and efficiency
Water Consumption Dataset in Bragança
No full textThe dataset is in tabular format and includes the columns year, month, installation number, consumer number, consumer type, installation zone, counter number, counter manufacturer, counter caliber, measure method, and consumption. The data covers seven years: 2013, 2014, 2016, 2017, 2018, 2019, and 2020. Water and other resource usage is typically measured monthly, so using the year and month pair to identify periods of leverage resources is appropriate
Avaliação dos Hábitos Alimentares das Populações nas Províncias de Inhambane e Gaza - sul de Moçambique: Contribuição para a avaliação de risco de exposição às Micotoxinas
No full textRelatório de inquéritos aos agricultores/consumidores de Gaza e Inhambane, Moçambique, relativamente aos hábitos alimentares
Modos de produção, armazenamento e comercialização, e diagnóstico do conhecimento sobre perdas por contaminações com fungos e micotoxinas nas províncias de Gaza e Inhambane, Moçambique
No full textRelatório de inquéritos aos agricultores de Gaza e Inhambane, Moçambique / Report of questionnaires to farmers from Gaza and Inhambane, Mozambiqu
Volume 4: Empowering Student Learning: The Role of Adaptive
No full textThis volume investigates the critical role of adaptive assessment in enhancing student engagement in higher education. Grounded in the post-pandemic educational context, it explores how diverse assessment methods can respond to the challenges posed by hybrid and online learning environments. Drawing on data from multiple European universities, the study examines university teachers’ perspectives on student engagement and evaluates the effectiveness of various assessment methods—ranging from real-world case analyses and capstone projects to digital peer assessments—across different instructional modalities. The findings highlight the significance of interactive, practical, and feedback-rich assessment strategies in fostering student motivation, critical thinking, and sustained participation.
Moreover, the book emphasizes the alignment of assessment practices with digital transformation and inclusive pedagogy. It discusses how incorporating timely, constructive feedback, student involvement in assessment, and context-sensitive design can enhance both learning outcomes and academic satisfaction. By offering a comprehensive framework for selecting and adapting assessment methods, this volume serves as a guide for educators aiming to balance innovation, equity, and engagement in today’s dynamic higher education landscape