Data Dictionary (English, CSV)

Load this English CSV resource into a live table: Data Dictionary.

Format

CSV

Access

ingestable

Publisher-reported update

2026-03-24

This deep water substrate bottom type model was created to aid in habitat modeling, and to complement the nearshore bottom patches. It was created from a combination of bathymetrically-derived layers in addition to bottom type observations. Using random forest classification, the relationship between observed substrates and bathymetric derivatives was estimated across the entire area of interest. The raster is categorized into: 1) Rock, 2) Mixed, 3) Sand, 4) Mud

Access original file