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Vessel and Climate Fishing Data
Data Science and Analytics
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About
captures detailed fishing activity within the North Atlantic region, linking operational vessel characteristics to environmental and economic outcomes. It includes information regarding fishing vessel specifications (engine age, length, power), catch metrics (weight, value, inflation-adjusted value, price), geographic patch characteristics (distance to shore, area), and key environmental indices such as the North Atlantic Oscillation (NAO) and sea surface temperature (SST). The material was originally compiled for a Master's thesis and serves as a valuable resource for studying the dynamics between marine environments and commercial fishing practices.
Columns
The dataset contains 22 columns, including:
- y_: A binary indicator showing whether any fishing activity occurred.
- ID: The unique identification number assigned to the fishing vessel.
- engine_age: The age of the vessel’s engine in years (up to 120 years).
- length: The length of the fishing vessel (ranging from 3.7 to 94.3 units).
- power: The engine power of the vessel measured in ps (up to 11,000 ps).
- month: The number of the month, indexed starting from the year 2002.
- landing: The name of the landing station where the catch was brought ashore (e.g., TROMSØ, ÅLESUND).
- weight: The weight of the recorded catch (up to 2.5 million units).
- value: The financial value of the catch (up to 20 million units).
- value_cpi: The value of the catch adjusted for inflation.
- price: The price associated with the catch.
- y_month: The specific month within the calendar year (0 to 11).
- year: The sequential year number (1 to 18).
- patch: The unique ID assigned to the geographical fishing patch.
- dist: The distance of the fishing patch to a specific point on the shore of middle Norway.
- patch_area: The size of the fishing patch measured in square kilometers.
- weight_lym/weight_lm: The recorded weight of catches from 12 months ago and 1 month ago, respectively.
- val_lym/val_lm: The financial value of catches from 12 months ago and 1 month ago, respectively.
- nao_index: The North Atlantic Oscillator index for the relevant month.
- surf_temp: The average surface temperature of the month.
Distribution
The data is provided in a standard full_dataset.csv file format, measuring 195.79 MB in size. It comprises 22 columns detailing fishing events. The dataset contains approximately 1.60 million records. A small amount of data, specifically 8% of records in the
surf_temp column, is noted as missing.Usage
This data is ideal for applications in:
- Developing predictive models for identifying areas likely to experience fishing activity.
- Environmental modeling correlating catch rates with North Atlantic Oscillation and sea surface temperatures.
- Economic analysis of catch value fluctuation, including inflation-adjusted metrics.
- Studying the impact of vessel physical characteristics (age, length, power) on fishing productivity.
- Geographical studies focused on marine resource distribution relative to coastal proximity.
Coverage
The geographic focus is the North Atlantic, with landing stations prominently featuring locations such as TROMSØ and ÅLESUND, suggesting coverage centred on Northern European fisheries. The temporal scope includes monthly data beginning in 2002, spanning a period of 18 years (221 months).
License
CC0: Public Domain
Who Can Use It
- Marine Researchers: For studies on fish populations, climate change effects on fisheries, and marine resource sustainability.
- Data Scientists and Modellers: For building machine learning models to predict commercial success or vessel behaviour.
- Governmental or Non-Governmental Organisations: For fishery management, regulation analysis, and environmental impact assessments across Europe.
Dataset Name Suggestions
- North Atlantic Fishery Dynamics
- Vessel and Climate Fishing Data
- Norwegian Sea Catch Statistics
- Marine Environment and Harvest Records
Attributes
Original Data Source: Vessel and Climate Fishing Data
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