Skip to content

License

This project is funded by the European Union under the Horizon Europe Research and Innovation Programme via Grant Agreement No 101188416.

DataGEMS Project

The Real-Time Anomaly Detection system is part of the wider DataGEMS (Data-driven Gems of the EOSC) platform, which aims to enhance the European Open Science Cloud (EOSC) with advanced data profiling and analysis services.

© 2025 DataGEMS Consortium

Software License

[To be determined by the project - typical options include Apache 2.0, MIT, or GPL]

Please refer to the LICENSE file in the repository root for the complete license text.

Citation

If you use this system in your research, please cite:

DataGEMS Consortium (2025). Real-Time Anomaly Detection for Meteorological Stations.
Horizon Europe Project, Grant Agreement No 101188416.
Available at: https://github.com/datagems-eosc/real-time-anomaly-detection

Third-Party Licenses

This software uses the following open-source packages:

  • Python: PSF License
  • Pandas: BSD 3-Clause License
  • NumPy: BSD License
  • scikit-learn: BSD 3-Clause License
  • statsmodels: BSD 3-Clause License
  • Folium: MIT License
  • SQLite: Public Domain
  • psycopg2: LGPL License (optional, for PostgreSQL/TimescaleDB)

See requirements.txt for the complete list of dependencies.

Data Attribution

Weather data is provided by:

National Observatory of Athens (NOA)
https://www.noa.gr

Data is accessed via the NOA DataGEMS API under the terms of the DataGEMS project agreement.

Contact

For licensing inquiries:

  • Project Website: https://datagems-eosc.eu
  • Email: contact@datagems-eosc.eu
  • GitHub: https://github.com/datagems-eosc

Acknowledgments

This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No 101188416.

Disclaimer: The content of this documentation reflects only the authors' view. The European Commission is not responsible for any use that may be made of the information it contains.