The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members between 1 January 2020 and 1 April 2020. More data will be periodically included in the dataset until the end of the COVID-19 pandemic.
The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.
Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted. Fields origin or destination are empty when no airport could be found.
Aircraft information come from the OpenSky aircraft database. Fields typecode and registration are empty when the aircraft is not present in the database.
One file per month is provided as a csv file with the following features:
Possible visualisations and a more detailed description of the data are available at the following page:
https://traffic-viz.github.io/scenarios/covid19.html
If you use this dataset, please cite the original OpenSky paper:
Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm. "Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research". In Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN), pages 83-94, April 2014.
and the traffic library used to derive the data:
Xavier Olive. "traffic, a toolbox for processing and analysing air traffic data." Journal of Open Source Software 4(39), July 2019.