Consorci de Serveis Universitaris de Catalunya
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Biomass, elemental composition and environmental characteristics of forests in Catalonia
No full textThis database comprises forest inventory data and environmental characteristics (climate and soil) from forest plots distributed throughout Catalonia. Based on long-term forest monitoring data (1989-1996) originally obtained from the Forest and Ecological Inventory of Catalonia (http://www.creaf.uab.es/iefc/), this dataset compiled data on biomass and elemental composition (nutrient concentration) of different aboveground organs (bark, branches, leaves, and woods) of individual tree species sampled in plots distributed throughout Catalonia. Additionally, for these plots (also from 1989 to 1996), data on soil chemical characteristics, climatic conditions, and canopy greenness (using the Enhanced Vegetation Index [EVI] as a proxy) were obtained using GIS and sensor tools. Therefore, this dataset provides interested users with an interesting and comprehensive ecological characterization of forests in the northern region of the Iberian Peninsula, which can complement their studies
Barcelona's network of climate shelters: categorization, availability and proximity to residential plots
No full textThe dataset contains information on both climate shelters and residential cadastral plots in Barcelona. Climate shelters are categorized by type of space, access conditions, and availability during the weekend and August. Residential cadastral plots are categorized according to their walking time to different categories of climate shelters, in a general setting, during the weekends and in August. The data was elaborated through GIS technology from open public datasets, and can be used to evaluate the efficacy of Barcelona’s network of climate shelters
Codi informatic per replicar l'estudi: MAPATGE SEMÀNTIC I VISUALITZACIÓ ANALÍTICA INTERACTIVA DE L'ESTRUCTURA TEMÀTICA D'UN REPOSITORI INSTITUCIONAL
No full textAquest conjunt de dades, recull el codi generat per fer realitzar una modelització temàtica del text complet dels articles de producció científica en accés obert que es troben al repositori institucional a data del 31 de juliol de 2025.
S'inclouen tots els artefactes generats de la modelització i imatges per l'avaluació de resultats
Algorithm to analyse fog colonies and service placement using genetic algorithms and hierarchical clustering
No full textThis dataset contains the experimental results generated by the hybrid optimization approach combining hierarchical clustering and a genetic algorithm for fog colony layout and service placement in cloud–fog–edge infrastructures.
It includes:
- multiple synthetic infrastructure scenarios with varying numbers of nodes, applications, and experimental repetitions;
- CSV files representing Pareto fronts obtained for each execution, where each row corresponds to a solution (e.g., a colony layout and service assignment) with its associated objective values (e.g., service deployment time, end-to-end latency, or communication cost) and metadata (e.g., number of nodes, number of applications, random seed, and clustering strategy used);
- configuration scripts (configuration.py, domainConfiguration.py) defining experimental parameters such as the number of generations, range of applications, or infrastructure size;
- result folders (results/) structured by scenario and repetition, along with generated plots summarizing the optimization outcomes
Replication data for: Outdoor residential air pollution exposure and the development of brain volumes across childhood: A longitudinal study
No full textEmerging evidence suggests that air pollution exposure is associated with childs brain morphology, but the relationship between air pollution and longitudinal changes in the development of brain volumes has yet to be investigated. We studied the association of exposure to air pollution in pregnancy and childhood with the change of brain volumes from childhood into adolescence, using repeated assessments of brain volumes. We used data from 4243 children of a large Dutch population-based birth cohort. Exposure to 14 air pollutants during pregnancy and childhood was estimated using land-use regression models. We obtained structural brain MRI data at 3 timepoints, resulting in 6059 useable scans of white matter, cortical grey matter, cerebellum, and 7 subcortical volumes. For 1191 participants we had data on both last two timepoints. We conducted single-pollutant analyses for each air pollutant and brain volume, using linear mixed models adjusted for life-style and socioeconomic status variables. Then we performed multi-pollutant analyses with the least absolute shrinkage and selection operator for mixed models. Air pollution exposure was not associated with changes in white matter, cortical grey matter, and cerebellar volumes. Higher exposure to copper and particulate matter with aerodynamic diameter <2.5 µm (PM2.5) during pregnancy was associated with a smaller hippocampal volume at the first neuroimaging assessment, followed by faster growth of hippocampal volume (e.g. 25.1 mm3 increase of hippocampal volume [95 % CI 8.6; 41.7] per 5 ng/m3 increase in copper exposure per year of age). Results were comparable when restricting the analyses to children with complete data for the last two timepoints. Exposure to copper and PM2.5 during pregnancy was related with a smaller hippocampal volume in mid childhood, followed by catch-up growth. Plasticity of the hippocampus might mitigate adverse effects of air pollution early in life
A set of AI (ChatGPT, Copilot, Deepseek, Gemini) prompt and answers from a comparative assessment for open-source software (OpenFOAM, Code_Saturne, SU2, FDS) in dispersion, fire, and explosion scenarios
No full textA set of .docx documents with the answers generated by AIs (ChatGPT, Copilot, Deepseek, Gemini) from standardised prompts on accident consequence modelling (dispersion, fire, and explosion) in risk assessment, using open-source software (OpenFOAM, Code_Saturne, SU2, FDS). Includes the template for the comparative assessment.Conjunto de documentos .docx con respuestas generadas por IAs (ChatGPT, Copilot, Deepseek, Gemini) a indicaciones estandarizadas sobre la modelización de consecuencias de accidentes (dispersión, incendio y explosión) en análisis de riesgo, usando software de acceso abierto (OpenFOAM, Code_Saturne, SU2, FDS). Incluye la plantilla del análisis comparativo.Conjunt de documents .docx amb respostes generades per IAs (ChatGPT, Copilot, Deepseek, Gemini) a peticions estandarditzades sobre la modelització de conseqüències de accidents (dispersió, incendi i explosió) en l'anàlisi del risc, utilizant programaris de codi obert (OpenFOAM, Code_Saturne, SU2, FDS). Inclou la plantilla de l'anàlisi comparativa
Replication data for "WindTrace: Assessing the environmental impacts of wind energy designs with a parametric life cycle inventory model"
No full textThis dataset contains the source code used to reproduce the results presented in the publication “WindTrace: Assessing the environmental impacts of wind energy designs with a parametric life cycle inventory model.” It corresponds to the specific release of the GitHub repository used for all data analyses included in the article
Datos de replicación para: Respuesta jurídica frente a la violencia por causa de honor: percepciones entre población joven
No full textEste conjunto de datos recoge 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
Replication Data for Omega-3 DHA as a Blank Canvas: A Molecular Approximation to How Lipid Mediators Modulate LGR6 in Inflammation Resolution
No full textThis dataset brings together computational models and simulation results that explore how lipid-based molecules affect the human LGR6 receptor, a G protein-coupled receptor (GPCR) involved in inflammation. It includes structural predictions, molecular docking, and molecular dynamics simulations that show how different lipid molecules interact with LGR6 in both its active and inactive forms.
The receptor structures were predicted using AlphaFold2 and AlphaFold3, while docking results were produced with AutoDock Vina and GOLD. Long molecular dynamics simulations were carried out using Amber24, with each system run five times to ensure consistency and reliability.
The dataset features several lipid mediators, including Maresin 1, Protectin D1, Leukotriene B4, and DHA-derived molecules, allowing researchers to see how small chemical changes in these lipids can influence LGR6’s shape and activity. It also includes results from protein structure network analyses, which map out how different parts of the receptor communicate during the simulations.
All files are provided in common, open formats (such as PDB, CIF, VMD, and Amber topology/coordinate files), making them easy to visualize, compare, or reuse for further studies. Altogether, this collection offers a detailed, reproducible view of how bioactive lipids may regulate LGR6 and contribute to the resolution of inflammation.This dataset contains molecular docking and molecular dynamics simulation results related to the activation of the LGR6 receptor by lipid mediators involved in inflammation resolution. The following sections describe the structure and contents of the dataset
