The Automatic Identification System (AIS) is a collaborative, self-reporting system that allows vessels to broadcast their identification information, characteristics and destination, along with other information originating from on-board devices and sensors, such as location, speed and heading.
This dataset is a selection of AIS data as collected from the MarineTraffic coastal network and used for the EU H2020 Research Project BigDataOcean project and the ACM DEBS Grand Challenge 2018.
The schema of the data is provided below
SHIP_ID is the anonymized id of the ship
SPEED is measured in knots (divide value by 10)
LON is the longitude of the current ship position
LAT is the latitude of the current ship position
COURSE is the direction in which ship moves (see: https://en.wikipedia.org/wiki/Course_(navigation))
HEADING (see: https://en.wikipedia.org/wiki/Course_(navigation))
TIMESTAMP is the time at which the message was sent (UTC)
DEPARTURE PORT NAME is the name of the last port visited by the vessel
Temporal Coverage: 1/04/2015-28/04/2015
Spatial Coverage: Mediterranean Sea
Terms of use:
Unless when otherwise permitted, the dataset will be used strictly for non-commercial, research purposes. Parties granted access to the data, shall have no other rights with respect to the Data, including without limitation, any right otherwise to use, distribute, furnish or resell the Data or any portion or derivative thereof.
Should the parties wish to exploit on a commercial basis such academic results, they shall agree in writing on the details of such commercial exploitation with a new agreement with the data owners.
The source of the Data will be properly cited in any paper and/or academic publications as is scientifically customary (e.g. “This work has been partially supported by MarineTraffic”)
If you have read and agree to the terms of service above, you may download the requested dataset from the following address (please remove brackets first):
[https]://[www.marinetraffic.com/research/wp-content/uploads/2018/09/MT-AIS-DEBS2018].[zip]
In order to uncompress the password protected file and the password below:
h1fH1moyUsVc
Best regards,
MarineTraffic Research Team.
