OS-Metrics: A 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 for evaluating anomaly detection and change point detection algorithms. It contains 6 metric files and 3 event log files.

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

Details are provided in the README.md file. This dataset is also available on Zenodo: https://doi.org/10.5281/zenodo.17981352 (the Mendeley version mirrors the Zenodo version).