The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/17099468

Li, Morgan; Chong, Kai Leong; Ng, Chong Shen; Bahl, Prateek; de Silva, Charitha M. et. al. (2021): Data underlying the paper: Towards realistic simulations of human cough: Effect of droplet emission duration and spread angle. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17099468.v1

Dataset

• Other Physical Sciences
• Interdisciplinary Engineering

COVID-19, pathogen transmission, respiratory droplets

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Morgan Li , Kai Leong Chong , Chong Shen Ng , Prateek Bahl , Charitha M. de Silva , Roberto Verzicco , Con Doolan , C. Raina MacIntyre , D. (Detlef) Lohse

This is the droplet trajectory data for the article 'Towards realistic simulations of human cough: Effect of droplet emission duration and spread angle. International Journal of Multiphase Flow, 103883'. The numerical simulation was conducted using AFiD code with point-particle model.

The two .h5 files correspond to the 0° and 45° spread angle cases, respectively. The data can be imported to MATLAB using the code attached. Descriptions of the variables can also be found in the code.

• 2021-12-14 first online, published, posted

4TU.ResearchData

h5, matlab

Towards realistic simulations of human cough: Effect of droplet emission duration and spread angle

• Netherlands Organisation for Health Research and Development (ZonMW), project number 10430012010022
• Next generation facility to measure microfluidic flows (grant code LE200100042) [more info...] Australian Research Council
• Diffusive Droplet Dynamics in multicomponent fluid systems (grant code 740479) [more info...] European Research Council
• Shanghai Science and Technology Program, project number 19JC1412802
• PRACE, project numbers 2020235589 and 2019215098

Physics of Fluids Group, Max Planck Center for Complex Fluid Dynamics, J. M. Burgers Center for Fluid Dynamics and MESA+ Research Institute, Department of Science and Technology, University of Twente;
Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University;
School of Mechanical and Manufacturing Engineering, UNSW Sydney;
Dipartimento di Ingegneria Industriale, University of Rome ‘Tor Vergata’
Gran Sasso Science Institute, Viale F. Crispi;
Biosecurity Program, The Kirby Institute, UNSW Sydney;
College of Public Service & Community Solutions and College of Health Solutions, Arizona State University, Phoenix;
Max Planck Institute for Dynamics and Self-Organisation, Göttingen