Data

Acoustic seabed classification (ASC) is an important method for understanding landscape-level physical and biological patterns in the aquatic environment. Bottom habitats in the Laurentian Great Lakes are poorly mapped to date, and will require a variety of contributors and data sources to complete. We repurposed a long-term split-beam echosounder dataset gathered for purposes of fisheries assessm

These data were derived from hydroacoustic data collected by uncrewed surface vehicles (USVs) and powered research vessels. The powered vessels overtook the USVs in Lakes Huron and Michigan to study fish avoidance of survey vessels during traditional acoustic surveys. The water column was divided into three depth groups (epilimnion, metalimnion, hypolimnion) for analysis. Each drone transect was b

This dataset maps the connectivity and bottlenecks among habitat patches within a six-kilometer ribbon along the United States terrestrial coastline of the Great Lakes. Each pixel represents the relative value that cell contributes to connectivity between and among habitat patches. When aggregated the pixel values produce a map of all possible pathways between habitat patches providing the end use

This dataset maps the connectivity and bottlenecks among protected areas within a six km ribbon along the terrestrial coastline of the U.S. Great Lakes. Each pixel represents the relative contribution that cell provides to connectivity between and among the protected areas. When aggregated the pixel values produce a map of all possible pathways between protected areas, providing the end user with

Subadult and smolt behavioral data were compiled by Ali Mokdad from Trevor Pitcher's lab at the University of Windsor, Ontario, Canada. Data are comprised of fish reactions in choice flume video data (attractance/avoidance) collected by Jeremy Kraus at Tunison Lab of Aquatic Science, August 2021 and February 2020 respectively. Atlantic salmon were exposed/not exposed to imprinting chemical (morpho

Freshwater lake and stream fish data were collected as part of cooperative project between the U.S. Geological Survey and the U.S. National Park Service which began in 2021. Data was primarily collected from 22 sites within the Pictured Rocks National Lakeshore. The number of sites sampled each year as well as the types of data collected and sampling methods varied during each visit. This data rel

This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the growing season of 2021 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: -

Nonnative Phragmites australis (common reed) is widely distributed across North America and insufficient knowledge of P. australis has impeded the efficiency of management. To aid in Phragmites management and future studies, we used RNA-seq data from multiple types of plant tissue to construct forty-nine P. australis transcriptomes via different assembly tools and multiple parameter settings, resu

This data release includes Lake Ontario prey fish data including species captured, relative abundance, spatial distribution, size structure, and age data from the April or spring prey fish bottom trawl survey, 1978 through 2022. Data from 1978 - 2015 are from U.S. waters of Lake Ontario while data from 2016 - 2022 include both U.S. and Canadian waters of Lake Ontario. Details about the vessel and

These data include goals, objectives, and performance measures from management plans and monitoring surveys related to fisheries management in the St. Clair-Detroit River System and the Western Basin of Lake Erie. Researchers extracted these data from existing management plans identified from on-line grey literature searches and discussions with collaborators and regional fisheries management pers

This data set includes the sample site locations, site descriptions, and abiotic data used in the analyses reported in McKenna et al. 2008. The data represent selected abiotic conditions within the St. Lawrence and lower reaches of four US tributaries during 2004. Samples were collected from shallow, seinable areas (less than 1.5 m) of the St. Lawrence River, adjacent wetland channels, and the low

This tabular data set contains information about the diets of angler-caught Lake Trout (Salvelinus namaycush), Walleye (Sander vitreus), Chinook Salmon (Oncorhynchus tshawytscha), Coho Salmon (O. kisutch), Atlantic Salmon (Salmo salar), Steelhead (O. mykiss), Pink Salmon (O. gorbuscha), and Brown Trout (Salmo trutta) captured between April and October of 2017 and 2018 from U.S. waters of Lake Huro