Data availability
All these files have been deposited in the Harvard Dataverse17 and are publicly accessible at: https://doi.org/10.7910/DVN/SJ8ILQ.
Code availability
No custom code was developed for this dataset. The facial expression features were extracted using OpenFace, an open-source facial behavior analysis toolkit available online[16](https://www.nature.com/articles/s41597-026-…
Data availability
All these files have been deposited in the Harvard Dataverse17 and are publicly accessible at: https://doi.org/10.7910/DVN/SJ8ILQ.
Code availability
No custom code was developed for this dataset. The facial expression features were extracted using OpenFace, an open-source facial behavior analysis toolkit available online16.
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Acknowledgements
This research was supported by U.S. National Science Foundation (#2028224 and #1931077). Any opinions, findings, conclusions or recommendations expressed in this work are those of the authors and do not necessarily reflect the views of the National Science Foundation. We also thank Soroush Farzin, Steven Van Dessel, and Jacob Whitehill for their excellent support in the project.
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Authors and Affiliations
Civil, Environmental, and Architectural Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA
Xingtong Guo, Chao Wang & Shichao Liu 1.
Psychological and Cognitive Sciences, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA
Angela C. Incollingo Rodriguez 1.
Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Longwood Ave, Boston, MA, 02115, USA
Chao Wang 1.
Computer Science, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA
Elke A. Rundensteiner 1.
Data Science, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA
Elke A. Rundensteiner
Authors
- Xingtong Guo
- Angela C. Incollingo Rodriguez
- Chao Wang
- Elke A. Rundensteiner
- Shichao Liu
Corresponding author
Correspondence to Shichao Liu.
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Guo, X., Incollingo Rodriguez, A.C., Wang, C. et al. DEPRESS: Dataset on Emotions, Performance, Responses, Environment, and Satisfaction during COVID-19. Sci Data (2026). https://doi.org/10.1038/s41597-026-06682-w
Received: 22 August 2025
Accepted: 21 January 2026
Published: 02 February 2026
DOI: https://doi.org/10.1038/s41597-026-06682-w