Data

While recording fish habitat use via electronic sensors, biologgers can also be viewed as autonomous environmental monitoring systems with the organism as a vehicle. This dual perspective has provided novel results from marine ecosystems but has not been applied to freshwater ecosystems. To understand limitations in freshwater, we evaluated miniature depth and temperature recorders, as aquatic mon

During 2018, uncrewed aerial vehicles (UAVs or 'drones') were used to collect spatially referenced aerial imagery from 20 management units (sites) enrolled in the Phragmites Adaptive Management Framework, a collective learning program developed by the Great Lakes Phragmites Collaborative. Management units were located in Michigan, Ohio, and Wisconsin (USA). Invasive Phragmites australis (hereafter

This data release presents catch and effort data for Cisco Coregonus artedi and Lake Whitefish Coregonus clupeaformis commercial gill net fisheries in State of Michigan waters of Lakes Superior, Michigan, and Huron during 1929-1970. The data were used to determine if Cisco and Lake Whitefish relative abundance (commercial gill net catch per effort) were correlated (positive and negative) during t

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, 1997 and 2021. Data from 1997 - 2015 are from U.S. waters of Lake Ontario while data from 2016 - 2021 include both U.S. and Canadian waters of Lake Ontario. Details about the vessel and gear

To determine the differences in soil microbial community composition between native and non-native lineages of Phragmites, we sampled soils from eight sites in the Great Lakes basin where populations of native and non-native Phragmites co-occurred. In addition, we included samples of soils from 27 populations of Phragmites across the Gulf of Mexico and Atlantic Coasts of the US. Samples were colle

An acoustic telemetry receiver was mounted on a gliding robotic fish, a novel type of autonomous underwater vehicle (AUV) during a series of field trials in a freshwater lake. Like underwater gliders, gliding robotic fish (dubbed GRACE, for Gliding-Robot-ACE) achieve locomotion primarily through buoyancy-driven gliding or spiraling. They are also equipped with an active tail fin that can provide e

Sea lamprey (Petromyzon marinus) control is achieved in tributaries to the Laurentian Great Lakes by applying lamprey-specific pesticides (lampricide) to habitats containing larval sea lamprey. Lampricide treatments are cheaper and more effective in watersheds where dams block runs of adult sea lamprey and hence limit the distribution of sea lamprey larvae. However, dams impound water and those wi

This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected during the growing season of 2020 at stations located along the U.S. shoreline of Lakes Michigan, Huron, and Erie. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - measurements of Secchi disk depth and water chemistry; - wate

The data release includes part of the bottom-trawl and gill-net survey data collected between 1952 and 1962 from the research vessel R/V Cisco. The bottom-trawl dataset includes tables for fishing operations and effort (BT_OP.csv), fish catch (BT_Catch.csv), and individual length-weight-sex-maturity (LWSM) records (BT_Fish.csv) for only a subset of species (details below). The gill-net dataset inc

Ice breakup dates of Chequamegon Bay, Lake Superior from 1911 to 2022 were compiled by Lori Evrard (USGS, GLSC, Lake Superior Biological Station, Ashland, WI). Ice breakup date is the day in spring when winter ice cover substantially leaves a water body. Local residents deem "ice breakup" as when the ice moves northeast of a line straight across Chequamegon Bay out from Ellis Avenue (State highway

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suit

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and