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I would like to create a big list of available time-series datasets for anomaly detection. I'm especially interested in the following:

  • The time-series data should be segmented into cycles
  • Ideally, these cycles should be of the same length
  • These cycles should be labeled as normal/anomalous

But anything goes. I will be sharing the ones I found below.

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    $\begingroup$ I’m voting to close this question because I want to post it on open data $\endgroup$
    – Guillermo Mosse
    Jan 21, 2021 at 19:06
  • $\begingroup$ Please link to the Open Data question if you do put it there $\endgroup$
    – Jon Nordby
    Jan 23, 2021 at 18:21

1 Answer 1

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  • Kaggle's NAB: a variety of sources such as AWS server metrics, Twitter volume, advertisement clicking metrics, traffic data, and more. Data is labeled.
  • Kaggle's Wafer: manufacturing data, 2K datapoints, 143 labeled anomalies. Measures are taken every 10 milliseconds.
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