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- j.dib.2019.104141 type Paper assertion.
- j.dib.2019.104141 type Resource assertion.
- j.dib.2019.104141 type MediaObject assertion.
- j.dib.2019.104141 description "Facing an ever-increasing amount of traffic at sea, many research centres, international organisations, and industrials have favoured and developed sensors together with detection techniques for the monitoring, analysis, and visualisation of sea movements. The Automatic Identification System (AIS) is one of the electronic systems that enable ships to broadcast their position and nominative information via radio communication. In addition to these systems, the understanding of maritime activities and their impact on the environment also requires contextual maritime data capturing additional features to ships' kinematic from complementary data sources (environmental, contextual, geographical, …). The dataset described in this paper contains ship information collected through the AIS, prepared together with spatially and temporally correlated data characterising the vessels, the area where they navigate and the situation at sea. The dataset contains four categories of data: navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ship positions over the Celtic sea, the North Atlantic Ocean, the English Channel, and the Bay of Biscay (France). The dataset is proposed for an easy integration with relational databases." assertion.
- j.dib.2019.104141 dateCreated "2023-01-10 20:09:29.549863+00:00" assertion.
- j.dib.2019.104141 name "Paper about heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance" assertion.
- j.dib.2019.104141 contentUrl "https://doi.org/10.1016/j.dib.2019.104141" assertion.
- j.dib.2019.104141 creator 0000-0002-1784-2920 assertion.
- j.dib.2019.104141 dateModified "2023-01-10 20:19:54.373826+00:00" assertion.
- j.dib.2019.104141 license no-permission assertion.
- j.dib.2019.104141 sdDatePublished "2023-01-10 20:09:29.549863+00:00" assertion.
- j.dib.2019.104141 author 0000-0002-1784-2920 assertion.