Data underlying the paper: Towards realistic simulations of human cough: Effect of droplet emission duration and spread angle

doi: 10.4121/17099468.v1
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
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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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.
history
  • 2021-12-14 first online, published, posted
publisher
4TU.ResearchData
format
h5, matlab
funding
  • 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
organizations
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

DATA

files (4)