OS-Metrics: Performance Time Series (PTS) Dataset for Anomaly Detection and Change Point Detection

OS-Metrics is a 7-day, 15-second resolution, causally annotated performance time series dataset, used to evaluate anomaly detection and change point detection algorithms. It contains 6 metric files and 3 event log files.

- OS-Metrics is evaluation-ready: all 42 disturbance events are causally annotated with start/end time, intensity, mode, and affected metrics.
- Metrics are sampled at 15-second intervals over 7 consecutive days.
- Event logs use zero-based indexing (start_point, end_point) aligned to the metric time series (first row = index 0).
- Remote observation bias (network_response_time_diff.csv) reflects real network path asymmetry, not artifact or error.
- All timestamps are in UTC; no daylight saving adjustments applied.

For details, see the `README.md`.
This dataset is also available on Zenodo: https://doi.org/10.5281/zenodo.17981352 (Mendeley Version is mirror of Zenodo version)