Abstract
Using Dual-Frequency Identification Sonar (DIDSON), fishery acoustic observation data was collected from the Ocqueoc River, a tributary of Lake Huron in northern Michigan, USA. Data were collected March through July 2013 and 2016 and included the identification, via technology or expert analysis, of eight fish species as they passed through the DIDSON’s field of view. A set of short DIDSON clips containing identified fish was curated. Additionally, two other datasets were created that include visualizations of the acoustic data and longer DIDSON clips. These datasets could complement future research characterizing the abundance and behavior of valued fishes such as walleye (Sander vitreus) or white sucker (Catostomus commersonii) or invasive fishes such as sea lamprey (Petromyzon marinus) or European carp (Cyprinus carpio). Given the abundance of DIDSON data and the fact that a portion of it is labeled, these data could aid in the creation of machine learning tools from DIDSON data, particularly for invasive sea lamprey which are amply represented and a destructive invader of the Laurentian Great Lakes.
Highlights
Dual-frequency Identification Sonar (DIDSON) is an underwater acoustic camera that has become increasingly popular in fisheries science for monitoring fish abundance and behavior in rivers and lakes[1]
DIDSON has been used to determine migration timing[2], quantify fish length[3,4] and estimate abundance of Chinook salmon (Oncorhynchus tshawytscha)[5,6], sockeye salmon (Oncorhynchus nerka)[2,6] and American eel (Anguilla rostrata)[7]. These studies have utilized DIDSON instead of, or in conjunction with, traditional fisheries assessment tools and have benefited in many different ways. This is because DIDSON is able to capture video-like imagery under a variety of environments including those with high turbidity and low light
DIDSON data were collected near the mouth of the Ocqueoc River, a tributary to Lake Huron located in Presque Isle County in northern Michigan, USA
Summary
Dual-frequency Identification Sonar (DIDSON) is an underwater acoustic camera that has become increasingly popular in fisheries science for monitoring fish abundance and behavior in rivers and lakes[1]. DIDSON has been used to determine migration timing[2], quantify fish length[3,4] and estimate abundance of Chinook salmon (Oncorhynchus tshawytscha)[5,6], sockeye salmon (Oncorhynchus nerka)[2,6] and American eel (Anguilla rostrata)[7] These studies have utilized DIDSON instead of, or in conjunction with, traditional fisheries assessment tools and have benefited in many different ways. Having the data in multiple formats makes them readily available for use with either existing software such as Sound Metrics or with community developed customized tools or software
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