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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
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This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots. For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions. For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP. The 2005-2015 annual nutrient trends were determined...
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Species occurrence data were obtained from the Atlas of Spawning and Nursery Areas of Great Lakes Fishes (Goodyear et al. 1982). The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open...
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This dataset provides results of a targeted bacterial community metagenomic analysis of surface water, groundwater, and sand samples at Jeorse Park on Lake Michigan in East Chicago, Indiana. Seventy-two samples were collected from 6 sites in 2017. Samples were analyzed for the 16S ribosomal RNA (16S rRNA) gene (the S in 16S refers to the rate of sedimentation, in Svedberg units, of the RNA molecule in a centrifugal field), and one sample was excluded because it produced too few reads. The 16S rRNA gene is the most conserved of three rRNA genes (16S, 23S, and 5S) and is considered the most reliable for identification and taxonomic classification of bacterial species (Bouchet and others, 2008). Taxonomic analysis...
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Species occurrence data were obtained from the Atlas of Spawning and Nursery Areas of Great Lakes Fishes (Goodyear et al. 1982). The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open...
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This data set portrays the linear federally-owned land features (i.e., national parkways, wild and scenic rivers, etc.) of the Lake Michigan basin. The data set was created by extracting linear federal land features from the 1:2,000,000-scale individual State DLG files produced by the U.S. Geological Survey. These files were then merged into a single coverage. This is a revised version of the April 2000 data set.
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These data show the spatial distribution of individual coastal ocean observing systems in the United States.
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along up to four cross-lake transects in central Lake Erie July 2010 through July 2019. Software-generated raw variables used for calculating estimates of hydroacoustic fish densities are presented here.
Description of Work Since 2010, connecting channels have been included in each of the Great Lakes’ Lake Management Plans (LaMPs). Lake Ontario now includes both the Niagara River and the St. Lawrence River. The Niagara River is well characterized by a number of long-term programs, but because of the lack of tributary water-quality data, the St. Lawrence River and its tributaries constitute a data gap in the information needed for the Lake Ontario to fulfill its goals. Critical information needs, including basic water-quality parameters, total suspended solids, nutrients and flow data. These data are needed to aid in the identification of sources of nutrient and sediment loading to the St. Lawrence. The monitoring...
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Point locations for collections of Michigan fish in the Lake Michigan basin.
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This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
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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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This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
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Zebra and quagga mussel veligers were exposed to eleven distinct cultures (isolates) of cyanobacteria representing Anabaena, Aphanizomenon, Dolichospermum, Microcystis, and Planktothrix species and the cyanotoxin microcystin to determine the lethality of cyanobacteria on dreissenid veligers. Six-day laboratory bioassays were performed in microplates using dreissenid veligers collected from the Detroit River, Michigan, USA. Veligers were exposed to increasing concentrations of cyanobacteria and microcystin using the green algae Chlorella minutissima as a control. Raw data were fit to dose response curves formulated from a Probit model to calculate LC50 values. This data release presents the raw data summarized and...
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Site-specific multiple linear regression models were developed for one beach in Ohio (three discrete sampling sites) and one beach in Pennsylvania to estimate concentrations of Escherichia coli (E. coli) or the probability of exceeding the bathing-water standard for E. coli in recreational waters used by the public. Traditional culture-based methods are commonly used to estimate concentrations of fecal indicator bacteria, such as E. coli; however, results are obtained 18 to 24 hours post sampling and do not accurately reflect current water-quality conditions. Beach-specific mathematical models use environmental and water-quality variables that are easily and quickly measured as surrogates to estimate concentrations...
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
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This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)...
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This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 5-meter (m; 16.404 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)...
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This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020.
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Problem – Currently, swim advisories or closings are issued by beach managers based on standards for concentrations of bacterial indicators such as Escherichia coli (E. coli). Standard culture methods for these bacteria take at least 18-24 hours before results are available. At most Great Lakes beaches, the beach is posted with an advisory or closing or is determined to be acceptable for swimming on the basis of the previous day’s E. coli concentration. Sanitary conditions may change overnight and even throughout the day (Boehm and others, 2002) making decisions made from previous days information incorrect. Because of this time-lag issue, water-resource managers are seeking solutions that provide near real-time...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Contaminants, Microbial, Contaminants, Microbial, Contaminants, Natural, Contaminants, Natural, Contaminants, Organic, All tags...


map background search result map search result map Lake Michigan basin, USA: parkways and scenic rivers Lake Michigan, USA: Historic brook trout spawning locations Lake Michigan, USA: Historic alewife spawning locations Lake Michigan, USA: Locations of collections of lake trout Great Lakes, USA: water level observation network New York Nowcast, Recreational Beaches of New York Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Erie Tributaries: Nutrient and streamflow trend results Metagenomics analysis of groundwater, surface water, and sand samples at Jeorse Park in East Chicago, Indiana, 2017 Lethality of bloom forming cyanobacteria on zebra and quagga mussel veligers collected from the Detroit River Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Hydroacoustic data from central Lake Erie, 2010-2019 Data for multiple linear regression models for estimating Escherichia coli (E. coli) concentrations or the probability of exceeding the bathing-water standard at recreational sites in Ohio and Pennsylvania as part of the Great Lakes NowCast, 2019 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Duluth Entry: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Lethality of bloom forming cyanobacteria on zebra and quagga mussel veligers collected from the Detroit River Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Duluth Entry: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Metagenomics analysis of groundwater, surface water, and sand samples at Jeorse Park in East Chicago, Indiana, 2017 Hydroacoustic data from central Lake Erie, 2010-2019 Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Lake Michigan, USA: Historic brook trout spawning locations Data for multiple linear regression models for estimating Escherichia coli (E. coli) concentrations or the probability of exceeding the bathing-water standard at recreational sites in Ohio and Pennsylvania as part of the Great Lakes NowCast, 2019 Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Lake Michigan basin, USA: parkways and scenic rivers Lake Erie Tributaries: Nutrient and streamflow trend results Lake Michigan, USA: Locations of collections of lake trout Lake Michigan, USA: Historic alewife spawning locations New York Nowcast, Recreational Beaches of New York Great Lakes, USA: water level observation network