Dataset Open Access

Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]

Xavier Olive; Martin Strohmeier; Jannis Lübbe


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4088205", 
  "language": "eng", 
  "title": "Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]", 
  "issued": {
    "date-parts": [
      [
        2020, 
        9, 
        17
      ]
    ]
  }, 
  "abstract": "<p><strong>Motivation</strong></p>\n\n<p>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&#39;s more than 2500 members since 1 January 2019. More data will be periodically included in the dataset until the end of the COVID-19 pandemic.</p>\n\n<p><strong>License</strong></p>\n\n<p>Creative Commons CC-BY</p>\n\n<p>The only difference with the <a href=\"https://zenodo.org/record/3928550\">original dataset</a> comes from anonymised aircraft information.</p>\n\n<p><strong>Disclaimer</strong></p>\n\n<p>The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.</p>\n\n<ul>\n\t<li>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.<br>\n\tFields <strong>origin</strong> or <strong>destination</strong> are empty when no airport could be found.</li>\n\t<li>Aircraft information come from the OpenSky aircraft database. Fields <strong>typecode</strong> and <strong>registration</strong> are empty when the aircraft is not present in the database.</li>\n</ul>\n\n<p><strong>Description of the dataset</strong></p>\n\n<p>One file per month is provided as a csv file with the following features:</p>\n\n<ul>\n\t<li><strong>callsign</strong>: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.)</li>\n\t<li><strong>number</strong>: the commercial number of the flight, when available (the matching with the callsign comes from public open API)</li>\n\t<li><strong>aircraft_uid</strong>: a unique anonymised identifier for aircraft;</li>\n\t<li><strong>typecode</strong>: the aircraft model type (when available);</li>\n\t<li><strong>origin</strong>: a four letter code for the origin airport of the flight (when available);</li>\n\t<li><strong>destination</strong>: a four letter code for the destination airport of the flight (when available);</li>\n\t<li><strong>firstseen</strong>: the UTC timestamp of the first message received by the OpenSky Network;</li>\n\t<li><strong>lastseen</strong>: the UTC timestamp of the last message received by the OpenSky Network;</li>\n\t<li><strong>day</strong>: the UTC day of the last message received by the OpenSky Network;</li>\n\t<li><strong>latitude_1</strong>, <strong>longitude_1</strong>, <strong>altitude_1</strong>: the first detected position of the aircraft;</li>\n\t<li><strong>latitude_2</strong>, <strong>longitude_2</strong>, <strong>altitude_2</strong>: the last detected position of the aircraft.</li>\n</ul>\n\n<p><strong>Examples</strong></p>\n\n<p>Possible visualisations and a more detailed description of the data are available at the following page:<br>\n&lt;<a href=\"https://traffic-viz.github.io/scenarios/covid19.html\">https://traffic-viz.github.io/scenarios/covid19.html</a>&gt;</p>\n\n<p><strong>Credit</strong></p>\n\n<p>If you use this dataset, please cite the original OpenSky paper:</p>\n\n<p>Matthias Sch&auml;fer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm.<br>\n&quot;Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research&quot;.<br>\nIn<em> Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN)</em>, pages 83-94, April 2014.</p>\n\n<p>and the traffic library used to derive the data:</p>\n\n<p>Xavier Olive.<br>\n&quot;traffic, a toolbox for processing and analysing air traffic data.&quot;<br>\n<em>Journal of Open Source Software</em> 4(39), July 2019.</p>", 
  "author": [
    {
      "family": "Xavier Olive"
    }, 
    {
      "family": "Martin Strohmeier"
    }, 
    {
      "family": "Jannis L\u00fcbbe"
    }
  ], 
  "version": "v0.8", 
  "type": "dataset", 
  "id": "4088205"
}
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