Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance
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) i...
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ftdoajarticles:oai:doaj.org/article:a5ff234ceb0749c780e11d47fe1205ff 2023-05-15T17:34:07+02:00 Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance Cyril Ray Richard Dréo Elena Camossi Anne-Laure Jousselme Clément Iphar 2019-08-01T00:00:00Z https://doi.org/10.1016/j.dib.2019.104141 https://doaj.org/article/a5ff234ceb0749c780e11d47fe1205ff EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2352340919304950 https://doaj.org/toc/2352-3409 2352-3409 doi:10.1016/j.dib.2019.104141 https://doaj.org/article/a5ff234ceb0749c780e11d47fe1205ff Data in Brief, Vol 25, Iss , Pp - (2019) Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 article 2019 ftdoajarticles https://doi.org/10.1016/j.dib.2019.104141 2022-12-31T02:07:58Z 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. This relies on the widespread and open source relational database management system PostgreSQL, with the adjunction of the geospatial extension PostGIS for the treatment of all spatial features of the dataset. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Data in Brief 25 104141 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 |
spellingShingle |
Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Cyril Ray Richard Dréo Elena Camossi Anne-Laure Jousselme Clément Iphar Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance |
topic_facet |
Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 |
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. This relies on the widespread and open source relational database management system PostgreSQL, with the adjunction of the geospatial extension PostGIS for the treatment of all spatial features of the dataset. |
format |
Article in Journal/Newspaper |
author |
Cyril Ray Richard Dréo Elena Camossi Anne-Laure Jousselme Clément Iphar |
author_facet |
Cyril Ray Richard Dréo Elena Camossi Anne-Laure Jousselme Clément Iphar |
author_sort |
Cyril Ray |
title |
Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance |
title_short |
Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance |
title_full |
Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance |
title_fullStr |
Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance |
title_full_unstemmed |
Heterogeneous integrated dataset for Maritime Intelligence, surveillance, and reconnaissance |
title_sort |
heterogeneous integrated dataset for maritime intelligence, surveillance, and reconnaissance |
publisher |
Elsevier |
publishDate |
2019 |
url |
https://doi.org/10.1016/j.dib.2019.104141 https://doaj.org/article/a5ff234ceb0749c780e11d47fe1205ff |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Data in Brief, Vol 25, Iss , Pp - (2019) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S2352340919304950 https://doaj.org/toc/2352-3409 2352-3409 doi:10.1016/j.dib.2019.104141 https://doaj.org/article/a5ff234ceb0749c780e11d47fe1205ff |
op_doi |
https://doi.org/10.1016/j.dib.2019.104141 |
container_title |
Data in Brief |
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25 |
container_start_page |
104141 |
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1766132848253730816 |