Published December 14, 2023 | Version 1.1.0
Dataset Open

Port calls and vessel trajectory dataset in the Caribbean with accurate port quays survey

  • 1. Université de Brest, UMR 6554 LETG
  • 2. MinesParis - PSL - CRC

Description

Dataset title:
Port calls and vessel trajectory dataset in the Caribbean with accurate port quays survey

Authors:
Clément Iphar, Université de Brest, UMR 6554 LETG, Plouzané, France
Iwan Le Berre, Université de Brest, UMR 6554 LETG, Plouzané, France
Manuel Sahuquet, Université de Brest, UMR 6554 LETG, Plouzané, France
Aldo Napoli, Mines Paris – PSL, CRC, Sophia Antipolis, France 
Éric Foulquier, Université de Brest, UMR 6554 LETG, Plouzané, France

The dataset consists of fourteen files, each representing one table, which are:
- A list of ports, their characteristics and the geometry of their quays, in the file ports.csv (*)
- The port calls that occurred in those ports, with their characteristics, in the file portcalls.csv (*)
- The stopping location of vessels during those calls, in the form of clusters, in the file berths.csv (*)
- The daily absence or presence, and if so in which area, of vessels, in the file areapresence.csv
- The type of vessels as known from a fleet registry, in the file vesseltype_original.csv
- The type of vessels inferred from computed data, in the file vesseltype_enriched.csv
- The semantic trajectories of vessels when in the area of interest, in the file trajectories.csv
- The port to port aggregated traffic by vessel type, in the file segments_port2port.csv (*)
- The port to territory aggregated traffic by vessel type, in the file segments_port2territory.csv (*)
- The geometries of differentiated docking areas such as quays or wharves, in the file docking.csv (*)
- The traffic in ports with ports calls and statistics on tonnage and age, in the file ports_traffic.csv
- UN ground truth data on the number of port calls by country, in the file ungt_country_portcalls.csv
- UN ground truth data on port call statistics by country, in the file ungt_country_portstats.csv
- UN ground truth data on container vessel throughput, in the file ungt_cont_throughput.csv

In addition to CSV files, the six tables with a geometry column, marked with a (*) in the list above, are provided in both geojson and shapefile (with .cpg, .prj, .shp and .shx files) formats. All files use EPSG:4326.

The first 11 files are licenced under CC-BY-NC-SA-4.0.
The last 3 files (UN ground truth data) are licenced under CC BY 3.0 IGO

Data is located in the whole of the Caribbean, covering the Caribbean Sea, the Gulf of Mexico and their immediate surroundings, for the whole year 2019. Provided timestamps are in universal time.

The description of data and the methods that led to its generation are to be presented in detail in an article also entitled “Port calls and vessel trajectory dataset in the Caribbean with accurate port quays survey” in the Journal Data In Brief. Upon publication, the doi of this paper will be added to the description of this dataset.

This work has benefited from several state fundings managed by the French Agence Nationale de la Recherche under the "Investissements d'avenir" program: the Labex DRIIHM ANR-11-LABX-0010, and the ISblue project "Interdisciplinary graduate school for the blue planet" ANR-17-EURE-0015. It has also received funding from the European Union’s Horizon 2020 research and programme under the Marie Sklodowska-Curie grant agreement No 899546.

No liability in respect of use - Under no circumstances shall the authors be liable for any loss, damage, liability or expense incurred or suffered that is claimed to have resulted from the use of this dataset, including, without limitation, any fault, error, omission, interruption or delay with respect thereto. The use of this dataset is at the User’s sole risk. 

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Additional details

Funding

European Commission
BIENVENUE - Welcoming highly-talented international post-docs in Brittany 899546
Agence Nationale de la Recherche
Investissements d'avenir ANR-11-LABX-0010
Agence Nationale de la Recherche
Interdisciplinary graduate school for the blue planet ANR-17-EURE-0015