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These data describe the catch and biological data from 363 bottom-set gill-net lifts distributed throughout Lake Michigan (including main basin and Green Bay) between April and November in 1930–1932. Data collected from the R/V Fulmar were recorded in notebooks and are now archived at the U.S. Geological Survey’s Great Lakes Science Center. Each lift included 1–7 gangs of linen gill nets. Each gang comprised 3–5 panels each having a length of 155 m, a height of 1.5 m, and a (stretch-)mesh size of either 60, 64, 67, 70, or 76 mm. The digitization of the Fulmar data notebooks was started in the late 1990s and finished in this study.
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This dataset describes the hydrogeomorphic structure and lake-tributary mixing in three intermediate-sized Lake Michigan rivermouths: Ford River, Manitowoc River, and Pere Marquette River. Data were collected from May to October 2011. Water chemistry variables were measured with a multiparameter sonde along longitudinal, lateral, and vertical transects. Magnesium, boron, and stable water isotope concentrations were also determined from grab water samples at particular depths.
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These data were collected to support the development of detection and classification algorithms to support Bureau of Ocean Energy Management (BOEM) studies and assessments associated with offshore wind energy production. There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It includes instructions and files necessary for training, validating, and testing a machine learning detection algorithm. 02_Imagery.zip contains imagery that were collected using a Partenavia P68 fixed-wing airplane using a PhaseOne iXU-R 180 forward motion compensating 80-megapixel digital frame camera with...
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The Fox River transports elevated loads of nitrogen and phosphorus to Lake Michigan. The increased concentration of N and P causes eutrophication of the lake, creating hypoxic zones and damaging the lake ecosystem.To decrease loading, best management practices (BMPs) have been implemented in the uplands of the basin. Little work has been done, however, to reduce nutrient concentrations in the river. Rivers are capable of removing nutrients through biotic uptake and sediment burial and are able to remove N through denitrification. Identifying and managing these locations of increased nutrient cycling known as “hot spots” may be another mechanism for nutrient mitigation.Our objective was to identify hot spots of N...
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These data contain observation and null polygons for waterfowl aerial surveys of Lake Michigan collected through the years 2009-2014. Polygons were created adjacent to either side of the flight lines (transects). The right and left offset of the polygons from the flight path, was determined using the average altitude of the plane along the transect and the observation angle through the plane’s window. Observed birds were counted and identified by species. This count data was attributed to the polygon closest to the point along the transect where the observation occurred, and on the side of the plane in which the observation took place. The point data represent counts where each point represents a single species....
Text files containing data regarding attributes of lake trout egg thiamine concentrations from sites in lakes Huron and Michigan collected during 2019-20, sampling site locations and quality assurance quality control values for comparison to previous years (2017-18) lake trout egg thiamine concentrations.
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Adult walleye (10 females and 10 males) were caught in Fox River (Wisconsin) during April 2014. Total length, weight, and age were determined for each of the walleye. Whole-fish homogenates were prepared during 2017. Lipid concentration and polychlorinated biphenyl (PCB) congener concentrations were determined in each of the homogenates during 2017-2018. For each sample, PCB congener concentrations were summed to yield total PCB concentration. All lipid and PCB congener terminations were made at the University of Michigan School of Public Health in Ann Arbor, Michigan.
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Note: An error was discovered in the BenthicBiomas Table, mostly in designation of BDLs and zeros. Data are undergoing further QC and the corrected dataset will be posted soon. This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 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: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors...
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This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2019 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: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll,...
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 includes tables for fishing operations (GN_OP.csv), fishing effort (GN_Effort.csv), fish catch (GN_Catch.csv), and individual LWSM records (GN_Fish.csv) for only a subset of species (details below). Two reference tables, BT_Spec.csv and Species.csv, are used for bottom trawl specifications and fish species names, respectively....
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Data included are from a series of field sample collections from Lakes Michigan and Huron, and laboratory mesocosms targeting the round goby fish (Neogobius melanostomus). The round goby is a benthic fish that has heavily invaded four of the five Laurentian Great Lakes. Because it inhabits a variety of substrates, including coastal breakwaters, traditional methods (e.g., trawling, trapping) are inadequate to quantify overall population size. Environmental DNA (eDNA) may be a viable option for improving detection and quantification of the species. Field data include number of round goby caught and associated ambient conditions of the aquatic matrix (temperature, pH, turbidity, conductivity, dissolved oxygen). Mesocosm...
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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 "Phragmites") had been managed at each management units some time previously by the landowner or land manager, and aerial imagery was then collected to create cover classifications distinguishing live and dead Phragmites from the surrounding landscape using object-based image analysis with training based on ground-truth...
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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 the historical period. The file is in .csv format and contains columns for: (1) lake (LAKE); (2) commercial fishery management unit (MU); (3) year (YEAR); (4) gill net material used to target Lake Whitefish (WF_MAT); (5) gill net material used to target Cisco (CS_MAT); (6) gill net conversion factors (multipliers) used...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Upper Peninsula Restoration Assessment (UPRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
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Real-time PCR results of a round robin evaluation of 5 assays that target dreissenid mussel DNA. Water samples collected from waters with and without dreissenid mussels were analyzed using these five assays in four USGS laboratories. Samples from waters without dreissenid mussels were spiked with known amounts of dreissend DNA.
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Under the Great Lakes Restoration Initiative, the U.S. Geological Survey Mercury Research Lab (USGS MRL) conducted a multiyear assessment of mercury across the Laurentian Great Lakes. Biannual sampling was conducted across all five lakes onboard the U.S. Environmental Protection Agency (US EPA) research vessel Lake Guardian (in years 2010–2014, 2018) at pelagic sampling locations established by the long-term US EPA Great Lakes monitoring program. In addition to the regularly scheduled biannual sampling, in September 2013 and 2014 Lake Michigan and Lake Erie (respectively) were sampled with increased focus on shallow nearshore locations. Throughout these sampling efforts, sediments, mussels, surface water, and plankton...
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This data release includes zooplankton data collected from a collaborative effort for Environmental Protection Agency’s Cooperative Science and Monitoring Initiative (CSMI). Zooplankton surveys were conducted during the growing season, from late April to early November, in two Lake Michigan transects in 2010, two Lake Huron transects in 2012, eight Lake Michigan transects in 2015, and nine Lake Huron transects in 2017. Zooplankton samples were collected by whole water-column tows at two or three stations in different bottom-depth categories (i.e., shallow, middle, and deep) in each of the transects. Due to the difference in bathymetry, some transects did not have a deep station. The shallow and middle stations have...
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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: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of PAR, temperature, specific conductivity,...
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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 assessment to estimate lakebed properties utilizing unsupervised classification of echo return data. We extracted first echo properties and analyzed lakebed hardness and roughness to define and map three statistically supported lakebed classes revealed through cluster analysis. Our results indicate coherent and logical class boundaries,...
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Each line in the file “Lake Michigan fish acoustic data from 2011 to 2016.csv” represents the acoustic data and estimated fish density for a single depth layer of water. Surveys are conducted along transects, transects are divided horizontally into successive intervals, and then within an interval there are multiple successive depth layers. Area backscattering (ABC), mean acoustic size (sigma), and fish density are reported for each unique transect-interval – layer from Lake Michigan in the years 2011-2016. Area backscattering (PRC_ABC), mean acoustic size (sigma), and fish density in the intervals and layers of acoustic survey transects of Lake Michigan in the years 2011-2016. The survey is carried out using a...


map background search result map search result map Lake Michigan Fish Acoustic Data from 2011 to 2016 Round goby eDNA survey, evaluation, and laboratory data in Lakes Michigan and Huron 2016-2017 Polychlorinated biphenyl concentrations in adult walleye from the Fox River (Wisconsin) population, 2014 Great Lakes Restoration Initiative Project 49 Fox River Basin 2016 and 2017 Data PCR results from dreissenid mussel round robin assay analyses, 2018-2019 Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 1930-1932 Gill net data from Lake Michigan Bottom-trawl and gill-net data from the Upper Great Lakes, collected by R/V Cisco, 1952–1962 Lake Michigan Sea Duck Survey 2009-2014 Mercury concentrations in surface water, sediment, and biota in the Laurentian Great Lakes, 2005 through Present Thiamine concentrations in lake trout eggs collected from the Great Lakes in 2019-20 Catch and Effort Data for Cisco and Lake Whitefish Commercial Gill Net Fisheries in State of Michigan Waters of Lakes Superior, Michigan, and Huron During 1929–1970 Land cover classifications and associated data from treatment areas enrolled in the Phragmites Adaptive Management Framework, 2018 Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) 2010-2017 zooplankton data from whole water-column tows in Lakes Michigan and Huron Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Cladophora biomass and supporting data collected in the Great Lakes, 2021 Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023) Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes Code, imagery, and annotations for training a deep learning model to detect wildlife in aerial imagery Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines Polychlorinated biphenyl concentrations in adult walleye from the Fox River (Wisconsin) population, 2014 Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Great Lakes Restoration Initiative Project 49 Fox River Basin 2016 and 2017 Data Lake Michigan Fish Acoustic Data from 2011 to 2016 1930-1932 Gill net data from Lake Michigan Lake Michigan Sea Duck Survey 2009-2014 Land cover classifications and associated data from treatment areas enrolled in the Phragmites Adaptive Management Framework, 2018 Thiamine concentrations in lake trout eggs collected from the Great Lakes in 2019-20 Round goby eDNA survey, evaluation, and laboratory data in Lakes Michigan and Huron 2016-2017 Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes Cladophora biomass and supporting data collected in the Great Lakes, 2021 Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023) 2010-2017 zooplankton data from whole water-column tows in Lakes Michigan and Huron Bottom-trawl and gill-net data from the Upper Great Lakes, collected by R/V Cisco, 1952–1962 Code, imagery, and annotations for training a deep learning model to detect wildlife in aerial imagery Catch and Effort Data for Cisco and Lake Whitefish Commercial Gill Net Fisheries in State of Michigan Waters of Lakes Superior, Michigan, and Huron During 1929–1970 Mercury concentrations in surface water, sediment, and biota in the Laurentian Great Lakes, 2005 through Present PCR results from dreissenid mussel round robin assay analyses, 2018-2019