UK Shelf and North Sea Sediment Composition Predictions

Spatial predictions of mud, sand, and gravel percentages for the UK shelf and North Sea. Compositional fractions were modelled using a statistical regression model and are provided as raster files. The dataset also includes predicted sediment classifications according to EUNIS habitat and Folk class systems.

Use Cases

• Map seafloor sediment distribution based on predicted mud, sand, and gravel percentages.
• Classify marine habitats based on the provided EUNIS and Folk class predictions.
• Analyze sediment composition for environmental impact assessments in the North Sea region.
• Validate or supplement field survey data with modelled sediment composition predictions.

Strengths

• Predictions cover three key sediment components: mud, sand, and gravel.
• Provides derived sediment classifications using both EUNIS habitat and Folk class systems.
• Data is presented in geospatial raster formats suitable for GIS analysis.

Limitations

• Row count and dataset size are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Government Digital Service

Collection Method

Modelled using a statistical regression model.

Geography

UK shelf and North Sea