Example of usage of the CESNET-TimeSeries24 dataset

Download the dataset

The CESNET-TimeSeries24 dataset is available in Zenodo platform https://zenodo.org/record/13382427

View Example

Example Jupyter Notebook

Dataset processing

As example of processing of three dataset parts, we prepare the SARIMA retraining Python module with BASH scripts which process all time series in datasets parts using qsub (prepared for running on metacentrum servers).

Evaluation example

The example of evalution of SARIMA model is available in file analyze-results.ipynb

Cite as

Koumar, J., Hynek, K., Čejka, T. et al. CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting. Sci Data 12, 338 (2025). https://doi.org/10.1038/s41597-025-04603-x

@Article{cesnettimeseries24,
    author={Koumar, Josef and Hynek, Karel and {\v{C}}ejka, Tom{\'a}{\v{s}} and {\v{S}}i{\v{s}}ka, Pavel},
    title={CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting},
    journal={Scientific Data},
    year={2025},
    month={Feb},
    day={26},
    volume={12},
    number={1},
    pages={338},
    issn={2052-4463},
    doi={10.1038/s41597-025-04603-x},
    url={https://doi.org/10.1038/s41597-025-04603-x}
}

Josef Koumar, Karel Hynek, Pavel Šiška & Tomáš Čejka. (2024). CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13382427

@dataset{koumar_2024_13382427,
  author       = {Koumar, Josef and
                  Hynek, Karel and
                  Čejka, Tomáš and
                  Šiška, Pavel},
  title        = {{CESNET-TimeSeries24: Time Series Dataset for 
                   Network Traffic Anomaly Detection and Forecasting}},
  month        = aug,
  year         = 2024,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.13382427},
  url          = {https://doi.org/10.5281/zenodo.13382427}
}