Integrated human body and upper–lower airway STL model for CFD simulations (nasal + oral breathing)

This dataset provides an STL model of a human body integrated with a detailed upper and lower airway geometry, intended for computational fluid dynamics (CFD) simulations of inhalation, exhalation, and exposure. The airway geometry was constructed by combining two previously published human respiratory models:(1) an oral-to-bronchial model used in Corley et al. (2021) "New Approach Methodology for Assessing Inhalation Risks of a Contact Respiratory Cytotoxicant: Computational Fluid Dynamics-Based Aerosol Dosimetry Modeling for Cross-Species and In Vitro Comparisons" (Toxicological Sciences, 182(2), 243–259, https://doi.org/10.1093/toxsci/kfab062), and(2) a nasal-to-bronchial model used in Kabilan et al. (2016) "Computational fluid dynamics modeling of Bacillus anthracis spore deposition in rabbit and human respiratory airways" (Journal of Aerosol Science, 99, 64–77, https://doi.org/10.1016/j.jaerosci.2016.01.011). The original human airway STL geometries were obtained from the publicly available iLADDER repository (UCSD-Darquenne-Lab/iLADDER, https://github.com/UCSD-Darquenne-Lab/iLADDER), which provides CT-based lung and upper airway models for aerosol dosimetry research. The human02.2016 and human02.2021 modelscorrespond to the nasal and oral airway models used in Kabilan et al. (2016) and Corley et al. (2021), respectively, as documented in the iLADDER metadata. These two airway models were geometrically merged to create a continuous airway from the nasal cavity and oral cavity down to the bronchial tree. The human body surface geometry represents an adult male in a standing posture and was generated using MakeHuman. The nostrils and the oral opening of the body model are seamlessly connected to the corresponding inlets of the airway model, enabling consistent definition of nasal and oral breathing boundary conditions. All geometries are provided as triangulated STL files. The model is suitable for CFD studies of airflow, heat and mass transfer, and particle or gas inhalation in indoor or occupational environments. Users should carefully check units, coordinate definitions, and mesh quality and perform any additional processing required for their specific solver and study design. When using this dataset, please acknowledge and cite both the original airway model publications (Corley et al. 2021; Kabilan et al. 2016) and this Zenodo record and published paper: Sakata, R., Abouelhamd, I., Kuga, K., & Ito, K. (2026) Role of Pollen Particle Shape, Breathing Mode, and Wind Velocity on Human Aspiration and Deposition Efficiencies. Breathing Mode, and Wind Velocity on Human Aspiration and Deposition Efficiencies. Building and Environment, 292, 114308. https://doi.org/10.1016/j.buildenv.2026.114308