Supplemental Data for "Automatic Classification of Biological Targets in a Tidal Channel using a Multibeam Sonar"

Abstract

These files accompany the manuscript "Automatic Classification of Biological Targets in a Tidal Channel using a Multibeam Sonar." The files include three data sets of target tracks from multibeam sonar data collected in Sequim, WA. The data were used to train machine learning classification models. Each target track is classified as a non-biological target, a seal, a school of fish, a diving bird, or an unclassified small target. The data format is described in detail in the README files.