Baselight

Global Transshipment Behaviour

This dataset includes data on transshipment from Frontiers in Marine Science

@kaggle.sayansh001_global_transshipment_behaviour

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About this Dataset

Global Transshipment Behaviour

Context

Vessels meet at sea for multiple reasons, such as refueling and exchanging crew, but in the commercial fishing industry, they also meet to transfer catch, or transship. Using machine learning, we processed more than 32 billion Automatic Identification System (AIS) signals broadcast from ships at sea to identify vessels capable of receiving transshipments and analyze their movements. Those vessels include fish tenders, live fish carriers, factory/processors and refrigerated cargo vessels. Verifying our results with confirmed fishery registries and open source online resources, we identified vessels capable of transshipping fish at sea between 2012 and December 2017, and incidents in which one of these vessels exhibited telltale transshipment behavior patterns such as drifting slowly enough and long enough to receive a transfer of catch.

Content

This dataset includes data on transshipment. Included are data on the following:

List of vessels involved in transshipment - Includes transshipment capable vessels (fish tenders, live fish carriers, factory/processors and refrigerated cargo vessels).
Loitering events - Occurrences of transshipment-capable vessels drifting slowly enough and long enough to receive a transfer of catch, but during which time no fishing vessels are observed on AIS meeting with the vessel.
Potential transshipment events (encounters) - Occurrences of transshipment-capable vessels drifting slowly enough and long enough to receive a transfer of catch and meeting with one or more fishing vessel that is actively broadcasting AIS.

Tables

Encounter Events

@kaggle.sayansh001_global_transshipment_behaviour.encounter_events
  • 709.73 kB
  • 11,681 rows
  • 9 columns
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CREATE TABLE encounter_events (
  "fishing_vessel_mmsi" BIGINT,
  "transshipment_vessel_mmsi" BIGINT,
  "start_time" VARCHAR,
  "end_time" VARCHAR,
  "mean_latitude" DOUBLE,
  "mean_longitude" DOUBLE,
  "duration_hr" DOUBLE,
  "median_distance_km" DOUBLE,
  "median_speed_knots" DOUBLE
);

Loitering Events

@kaggle.sayansh001_global_transshipment_behaviour.loitering_events
  • 3.69 MB
  • 46,569 rows
  • 9 columns
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CREATE TABLE loitering_events (
  "transshipment_mmsi" BIGINT,
  "starting_latitude" DOUBLE,
  "starting_longitude" DOUBLE,
  "ending_latitude" DOUBLE,
  "ending_longitude" DOUBLE,
  "starting_timestamp" VARCHAR,
  "ending_timestamp" VARCHAR,
  "median_speed_knots" DOUBLE,
  "total_event_duration" DOUBLE
);

Transshipment Vessels

@kaggle.sayansh001_global_transshipment_behaviour.transshipment_vessels
  • 59.4 kB
  • 1,124 rows
  • 7 columns
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CREATE TABLE transshipment_vessels (
  "mmsi" DOUBLE,
  "shipname" VARCHAR,
  "callsign" VARCHAR,
  "flag" VARCHAR,
  "imo" DOUBLE,
  "first_timestamp" VARCHAR,
  "last_timestamp" VARCHAR
);

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