A High-Fidelity Dataset of Surface Pressure Measurements on Low-Rise and High-Rise Prismatic Buildings from Boundary-Layer Wind Tunnel Tests – Data Paper

This repository contains the Data Paper accompanying the openly available wind tunnel datasets of parametric low-rise and high-rise building models. The paper documents the complete experimental methodology, boundary-layer simulation, model design, measurement procedure, preprocessing pipeline, and data structure used for all datasets published in the associated repositories. The Data Paper describes the boundary-layer wind tunnel configuration, atmospheric boundary layer modelling, pressure measurement system, tubing transfer function correction, extreme-value evaluation methodology, and the derivation of statistical pressure coefficients. It further outlines the standardized HDF5-based data architecture, including metadata conventions, geometry descriptions, preprocessing parameters, and statistical postprocessing procedures applied to all model configurations. The document serves as the central scientific and technical reference for the following dataset collections: Low-Rise Flat Roofs (with and without parapets) Low-Rise Monopitched Roofs Low-Rise Duopitched Roofs High-Rise Flat Roofs Each dataset references this Data Paper as its primary source for methodology, terminology, preprocessing, evaluation techniques, and FAIR-compliant data structuring. The paper enables reproducibility, supports consistent interpretation of the datasets, and provides the foundational documentation for applications in wind engineering research, structural design, and CFD validation. If you use this dataset or any of its subsets, please cite this data paper (see corresponding Zenodo panel). In addition, please cite the specific data archive(s) (Parts I–IV) used in your work. Individual citation information for each dataset subset is provided in the corresponding Zenodo record. When reusing data from this collection, users should cite both the relevant dataset subset(s) and this data paper.