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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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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...
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...
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...
Categories: Project;
Tags: AOC,
Accountability,
Areas of concern,
Beneficial use impairment,
Channel,
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...
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.
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
LAS,
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...
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 Green Bay Restoration Assessment (GBRA). 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...
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...
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
Categories: Data Release - Revised;
Types: GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chippewa,
Great Lakes,
Holocene,
Lake Huron,
Lake Michigan,
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,
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...
Categories: Data;
Tags: Great Lakes,
Hancock County,
Ohio,
USGS Science Data Catalog (SDC),
Water Resources,
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.
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Data are sometimes collected from multiple vessels, raising the question of comparability of data collected among vessels. Hydroacoustic data were collected along three cross-lake transects in central Lake Erie in July, 2014 from three different vessels using similar equipment. Several variables derived from hydroacoustic data and fish densities calculated from those variables were compared between the standard vessel used typically for hydroacoustic data collection and two other vessels used occasionally. The data used in those analyses are presented here.
Categories: Data;
Tags: Aquatic Biology,
Great Lakes,
Lake Erie,
Remote Sensing,
USGS Science Data Catalog (SDC),
OBIS-USA brings together marine biological occurrence data – recorded observations of identifiable marine species at a known time and place, collected primarily from U.S. Waters or with U.S. funding. Coordinated by the Science Analytics and Synthesis (SAS) Program of the United States Geological Survey (USGS), OBIS-USA, strives to meet national data integration and dissemination needs for marine data about organisms and ecosystems. OBIS-USA is part of an international data sharing network (Ocean Biodiversity Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission, of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information...
This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
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...
Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Asian Carp,
Emergent Vegetation,
Erie County,
Grass Carp,
Great Lakes,
This dataset is a polygon shapefile delineating the footprint of bathymetric data collected in October, 2021 for an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI). Bathymetric data in the river channel were collected with a single beam sonar and Acoustic Current Doppler Profiler operated along 2 longitudinal transects and 48 cross-sectional transects, respectively.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
bathymetry,
digital elevation models,
elevation,
f26077 = Kalamazoo,
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