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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.
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.
All gillnet data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
Aging infrastructure is creating a pressing national need to align priorities between civil engineering and other interests. Restoring ecological connectivity of river networks that are fragmented by dams and road crossings has become a prominent objective for environmental managers across the country. A mature decision-support framework and newly available data on the condition of dams throughout the Lake Michigan basin offer unique opportunities to test for potential cost-efficiency gains from sharing the costs of removing decrepit dams between environmental and engineering organizations. At sites where these interests align, genuine win-win scenarios could advance both ecological connectivity and infrastructure...
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...
Categories: Data;
Tags: Fox River Basin,
Green Bay,
Lake Michigan,
USGS Science Data Catalog (SDC),
agriculture,
This dataset describes the quantity, morphology, concentration and polymer identity of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie. Lake Michigan sediment samples were collected at 20 locations in September, 2013 and Lake Erie sediment samples were collected at 12 locations in September, 2014 while on-board the R.V. Lake Guardian. Sampling and analysis methods are described in the Processing Steps section of the metadata.
Categories: Data;
Tags: Environmental Health,
Lake Erie,
Lake Michigan,
Limnology,
USGS Science Data Catalog (SDC),
This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
This dataset describes the quantity, morphology, and polymer identity of microplastics in the water column and surficial sediments of Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan (Wisconsin). Water samples were collected at 10 locations, 2-4 times each, from May to September, 2016. At the 4 shallowest locations, water was collected only at the water surface. At the remaining 6 locations, water was collected at the water surface and at 1-4 depths below the surface. Sediment samples were collected once, in June 2016, at a subset of 9 locations. Sampling and analysis methods are described in the Processing Steps section of the metadata. These data are interpreted in the following journal article:...
Categories: Data;
Tags: Environmental Health,
Hydrology,
Lake Michigan,
Milwaukee,
USGS Science Data Catalog (SDC),
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....
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...
Categories: Data;
Tags: Indiana Dunes National Lakeshore,
Lake Huron,
Lake Michigan,
USGS Science Data Catalog (SDC),
biota,
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...
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...
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.
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...
Images were collected using a remotely piloted unoccupied aerial system over the bluffs of the eastern shore of Lake Michigan in St. Joseph rural residential area, Allegan County, MI. The digital imagery was collected with the internal camera of a DJI Phantom 3 PRO for 2019 data and DJI Phantom 4 PRO for 2021 data that was operated by the University of Toledo. on July 13, 2021. They cover an extent between the intersection of Lakeshore Dr. with Lakeshore Road to the north, and South Lakeshore Dr. to the south. Images were collected to monitor active bluff erosion in the area. The images are presented here in zipped files grouped by type of collection, nadir and oblique. The images were collected in .jpg format with...
Categories: Data;
Tags: Allegan County,
GMEG,
Geology, Minerals, Energy and Geophysics Science Center,
Lake Michigan,
MGS,
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...
Categories: Data;
Tags: Ecology,
Lake Huron,
Lake Michigan,
Limnology,
USGS Science Data Catalog (SDC),
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,...
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,...
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...
Categories: Data;
Types: Citation;
Tags: Fish,
Fishery Resources,
Lake Michigan,
USGS Science Data Catalog (SDC),
environment,
Monitoring of vitamin B1 (thiamine) in the eggs of lake trout (Salvelinus namaycush) collected from lakes Huron and Michigan has been conducted by the U.S. Geological Survey since the mid-1990’s. The results of this monitoring effort have been used by natural resource management agencies and native American tribes within the Great Lakes basin to evaluate the reproductive health of lake trout. The data in this release are the thiamine concentrations measured in lake trout collected from 1996-2018. Results are reported as total thiamine (nmol/g-egg), collection site, lake, year collected, and reference to the analysis methods.
Categories: Data;
Tags: Canada,
EMS,
Early Mortality Syndrome,
Fish,
Fish Spawning and Larval Aggregation,
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