Abstract
This data article presents high-resolution airflow and turbulence measurements obtained in and around a 1:50 scaled asymmetric dairy barn model using a boundary layer wind tunnel. The datasets are organized into two categories: (1) measurement data of boundary layer profile in the empty wind tunnel to assess flow stability, Reynolds number independence, and characterize vertical wind profile, and (2) airflow measurements at a cross-sectional plane inside and outside of the scaled model under the established boundary layer, comprising a total of 233 measurement positions. All air velocity measurements were acquired using a two-dimensional Laser Doppler Anemometry (LDA) system to ensure a sufficiently long sampling duration for robust statistical analysis. The datasets are primarily designed for validation and refinement of computational fluid dynamics (CFD) models as an essential step prior to following CFD applications. A validated CFD model can then be employed to estimate airflow and emission. Therefore, those datasets provide pivotal references for numerical modelling, and are valuable for further investigations of wind-driven ventilation performance as well as emission characterization in naturally-ventilated livestock buildings.