Collective Sleep and Activity Patterns of College Students from Wearable Devices

Anonymized data from a study published in npj Complexity, used to analyze collective sleep and activity patterns among college students. The dataset is 28.2 MB in size and was last updated on April 30, 2026. Mikaela Irene Fudolig is the author, and the data is shared under a CC-BY-4.0 license.

Use Cases

• Analyzing collective sleep patterns based on anonymized wearable device data.
• Modeling activity rhythms in a student population based on high-temporal-resolution sensor data.
• Reproducing regression analyses from the associated published study using the provided sample data.

Strengths

• Dataset size is 28.2 MB, providing a concrete volume of data for analysis.
• Associated code is available in a public GitHub repository for reproducibility.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary dataset contains sensitive information and is not publicly available, only a sample shuffled dataset is included.

Provenance

Source

Mikaela Irene Fudolig

Collection Method

Collected from wearable devices worn by college students, as described in the associated research paper.

Freshness

Last updated 2026-04-30 09:03:07; freshness should be verified.