East Asian Offshore Wind Turbine Attributes 2019-2025

EA-OWT provides location and attribute data for offshore wind turbines across East Asia from 2019 to 2024, with the latest data as of September 2025. The dataset includes key physical attributes like model, rated capacity, and rotor diameter for each turbine. Validation using high-resolution Google and multi-source imagery reports an accuracy and recall rate of 99.96%.

Use Cases

• Analyze spatiotemporal growth patterns of offshore wind power using turbine locations and annual records from 2019 to 2025.
• Model energy potential or environmental impact by correlating turbine locations with physical attributes like rated capacity and rotor diameter.
• Validate or benchmark other wind turbine datasets using the reported 99.96% accuracy and recall rate from independent multi-source imagery assessment.

Strengths

• High validation accuracy of 99.96% for both accuracy and recall, benchmarked against datasets like GOWT and DeepOWT.
• Covers the entire East Asian maritime region with annual records from 2019 to 2024 and data current to September 2025.
• Enhances location data with key physical attributes such as model, rated capacity, and rotor diameter per turbine.

Limitations

• The dataset is small at 14.2 MB, which may limit the number of individual turbine records or geographic detail.
• Specific row count and column structure are unknown, complicating assessment of analytical scope and feature set.

Provenance

Source

Xinyue HU via figshare.

Collection Method

Constructed using high-resolution Google imagery, multi-source optical and radar imagery, and commercial datasets, with independent validation.

Time Range

Complete annual records from 2019 to 2024, latest data as of September 2025.

Freshness

Updated with latest data as of September 2025; last platform update was March 2026.

Geography

Entire East Asian maritime region.