Quantitative sediment composition predictions for the north-west European continental shelf

• Published by: Marine Environmental Data & Information Network
• Last updated: 10 July 2024
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

Spatial predictions of the fractions of mud, sand and gravel as continuous response variables for the north-west European continental shelf. Mud, sand and gravel fractions range from 0-1 (i.e. 0-100%). These fractions were generated from two additive log-ratios (ALR), ALRs and ALRm which are independent, unconstrained response variables. These raw predictions as rasters are also included presented in the attached dataset. Predicted fractions have been combined to predict the likely sediment classification based on the EUNIS level 3 sediment classification for broadscale habitats, Folk 5, Folk 7, Folk 11 and Folk 15 classification schemes. These are available as raster tif files with an ArcGIS layer file indicating the appropriate class for each raster value.

For all predictions an accompanying map of the spatial distribution of error/accuracy is also included as a separate raster. For the three components of the sediment fraction a smoothed Root-Mean-Squared-Error layer is available. For the classification maps a smoothed local accuracy map is available.

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Data links

Link to the data	Format	File added	Data preview
Cefas Data Portal	N/A	10 July 2024	Not available

Additional information

View additional metadata

• Added to data.gov.uk: 2023-12-07
• Access contraints: Not specified
• Harvest GUID: CEFASb71ac939-cab1-46e1-a6ed-1615d416795f
• Extent: Latitude: 63.00° to 48.00°
• Extent: Longitude: -13.00° to 11.00°
• Dataset reference date: 2019-04-11 (publication)
• Dataset reference date: 2023-12-07 (revision)
• Dataset reference date: 2019-04-09 (creation)
• Frequency of update: notPlanned
• Responsible party: Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) (originator, custodian, distributor); European Commission (owner)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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