Guo et al. (2026): DEPRESS Dataset
This note points to the source paper behind the stress sequence dataset used in Sequenzo examples. It is not a copy of the article.
Citation
Guo, X., Incollingo Rodriguez, A. C., Wang, C., Rundensteiner, E. A., & Liu, S. (2026). DEPRESS: Dataset on Emotions, Performance, Responses, Environment, and Satisfaction during COVID-19. Scientific Data. https://doi.org/10.1038/s41597-026-06682-w
Why It Matters
The DEPRESS study collected longitudinal student data during the COVID-19 period, including repeated stress measures. Sequenzo uses a cleaned subset that turns weekly perceived stress into short categorical sequences.
For Sequenzo users, this source is useful because it explains where the repeated stress measures come from and what broader study design surrounds them. The website focuses only on the sequence-ready subset, not the full multimodal dataset.
Related Sequenzo Pages
- College Students' Stress Dataset
- Sequence Summary Statistics vs Sequence Characteristics Indicators
- Group Comparison
- Typical Workflow