This README.txt file was generated on <2024-10-23> by ------------------- GENERAL INFORMATION ------------------- Title of Dataset: Datos proyecto de investigación HYDELIFE PID2020-117056RB-I00 Dataset Author Information Principal Investigator: VÍCTOR YEPES PIQUERAS. ICITECH, Camino de Vera s/n, 46022 Valencia (Spain), vyepesp@cst.upv.es ORCID: 0000-0001-5488-6001 Research Team: JOSÉ VICENTE MARTÍ ALBIÑANA. ICITECH, Camino de Vera s/n, 46022 Valencia (Spain), jvmartia@cst.upv.es ORCID: 0000-0002-2435-4095 Research Tema: JULIÁN ALCALÁ GONZÁLEZ. ICITECH, Camino de Vera s/n, 46022 Valencia (Spain), jualgon@cst.upv.es ORCID: 0000-0003-1376-8441 Date of data collection: 2024-10-23 Geographic location of data collection: Data are not associated with any geographic location. Information about funding sources or sponsorship that supported the collection of the data: Ministerio de Ciencia, Innovación y Universidades PID2020-117056RB-I00 General description: The data has been used in scientific articles published in high-impact international journals and is the result of the HYDELIFE research project. The input data typically define the structural problem or infrastructure to be optimised using heuristic algorithms or multi-criteria decision making techniques. This data, which is not extensive, is usually included in the published articles themselves. In addition, the results of the computational or optimisation processes of our numerical models are also considered as data. These results are also often included in the published articles. Keywords: bridges, optimization, sustainability, metaheuristics, decision making, life cycle assessment, modular building, hybrid structures, artificial intelligence, deep learning -------------------------- SHARING/ACCESS INFORMATION -------------------------- Open Access to data: Open Date end Embargo: The data are free of embargo Licenses/restrictions placed on the data, or limitations of reuse: Creative Commons CC-BY Citation for and links to publications that cite or use the data: Links/relationships to previous or related data sets: No previous data. Links to other publicly accessible locations of the data: No other publicity accessible locations of the data. -------------------- DATA & FILE OVERVIEW -------------------- File list: HYDELIFE database consists of 8 compressed folders, each named after the lead author of the corresponding set of articles. Inside these folders are Excel files containing all the data collected. There is also a README.txt file which explains the contents and structure of the database. Relationship between files: Each of the Excel files is exactly the same as the data used in each of the scientific articles. Type of version of the dataset: The data are input data and results. The intermediate data relating to the thousands of iterations carried out in each of the heuristic calculations have not been stored, as they are stochastic and may vary from run to run. Total size: 4,73 GB -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: Methods for processing the data: The methodology used to process the input data corresponds to heuristic algorithms, data mining, multi-criteria decision making and life cycle analysis of each of the structures analysed in the project. In each of the published scientific articles, the methodology applied is explained in detail. Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: No special software or hardware is required to interpret the data. Standards and calibration information, if appropriate: Not necessary in this case. Environmental/experimental conditions: Not applicable in this case Describe any quality-assurance procedures performed on the data:The input data were processed into results using numerical models and heuristic algorithms applied in each of the scientific articles. These models and results were previously validated by the authors to ensure their accuracy. In addition, the articles were published following a rigorous peer-review process typical of high-impact indexed scientific journals, providing an additional layer of quality assurance for both the data and the methods used. -------------------------- DATA-SPECIFIC INFORMATION -------------------------- The number of variables used in each scientific article varies according to the type of structure or structures being analysed and optimised. These variables are tailored to the specific problem addressed in each study. The list of variables, including any abbreviations, units of measurement, codes or symbols, is clearly explained in each of the associated EXCEL files. In addition, this information is detailed in the published scientific articles to ensure full transparency and understanding of the data. Any special formats or abbreviations used in the dataset are also thoroughly documented within the articles and associated files.