Table 1.
A list of some online recording platform-based cough databases.
| Dataset | Source | Recording platform | Recording type | References |
|---|---|---|---|---|
| Cambridge database | University of Cambridge, UK | https://www.covid-19-sounds.org/ | Short recordings of cough and breathing and report symptoms (healthy and non-healthy participants). | (34) |
| MIT database | Massachusetts Institute of Technology (MIT), USA | https://opensigma.mit.edu/ | Cough sounds from healthy and COVID-19 subjects, including asymptomatics. | (33) |
| NYU database | New York University (NYU), USA | https://www.breatheforscience.com/ | Studying the link between respiratory diseases and breathing patterns in the US population. | (51) |
| Virufy | Stanford COVID-19 Response Innovation Lab, USA | https://virufy.org/data | Virufy is a global applicability of crowdsourced and clinical datasets for AI detection of COVID-19 from cough. | (52) |
| NOCOCODA | Carleton University's Institutional Repository, USA | From online interviews with COVID-19 patients (e.g., published interviews on social media and YouTube videos) | This coronavirus coughs database contains cough events obtained from online interviews with COVID-19 positive individuals. | (50) |
| COUGHVID | École Polytechnique Fédérale de Lausanne (EPFL), Switzerland | https://coughvid.epfl.ch/ | Cough sounds from healthy, symptomatic, and COVID-19 participants. | (49) |