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This map layer portrays the coastline of the United States, Puerto Rico, and the U.S. Virgin Islands. The United States shoreline of the Great Lakes is also included. This is a revised version of the July 2012 map layer.
These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled “Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan”. This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activities at two GLRI funded sites in Southern Lake Michigan and one non-GLRI site in Western Lake Michigan. Evaluation of GLRI projects will assess whether goals of recipients are on track and identify any developing unforeseen consequences. Including a third, non-GLRI project site in the evaluation allows comparison between...
These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled "Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan". This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activities at two GLRI funded sites in Southern Lake Michigan and one non-GLRI site in Western Lake Michigan. Evaluation of GLRI projects will assess whether goals of recipients are on track and identify any developing unforeseen consequences. Including a third, non-GLRI project site in the evaluation allows comparison between...
Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points;...
Categories: Data;
Tags: CMGP,
Carlson SurvCE,
Chimney Bluffs,
Chimney Bluffs State Park,
Coastal and Marine Geology Program,
Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points;...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: 3DR Solo quadcopter,
CMGP,
Chimney Bluffs,
Chimney Bluffs State Park,
Coastal and Marine Geology Program,
The Lake Erie Ecological Investigations (LEEI) dataset contains data collected on contaminants in sediments, benthic invertebrate populations, fish populations and abnormalities, and fish health of primarily brown bullhead in Areas of Concerns (AOCs) on Lake Erie. A subset of the larger dataset, this section specifically handles reference tables, used in database design in order to standardize often used values and to make the data file efficient, for the main tables of the LEEI dataset. The reference tables include: site.csv, site_date.csv, and species.csv.
Data were collected as part of a study to identify sources of E. coli contamination at several beaches located in the Grand Calumet River Areas of Concern, located in northern Indiana on Lake Michigan. The study was funded by the Great Lakes Restoration Initiative. Water samples were collected at each site (Jeorse Park 1, Jeorse Park 2, Hammond East, Hammond West, Whihala West, Whihala East, Whihala west breakwater, Hammond Marina, Whihala offshore locations, and the Grand Calumet River) one day a week or three times a week between 2015 and 2018. While the 2015 data were included in analysis, these data were previously publicly released https://doi.org/10.5066/F7H70F3D. Samples (water, sand, sediment) were analyzed...
This dataset describes the identification of phytoplankton to the lowest taxonomic level (typically species), as well as abundance (density) and biovolume from grab samples collected from Lake Michigan at Jackson Park at Hyde Park, Illinois and Lake Michigan at Jeorse Park at Gary, Indiana.
Diet analyses were performed on juvenile lake trout (Salvelinus namaycush) captured by bottom trawl during annual USGS Great Lakes Science Center demersal fish community surveys in mid-October to mid-November 2008–2017 in Lake Huron. This dataset contains lake trout capture information (e.g., location, depth) and diet item data (taxa consumed and their associated lengths).
Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Black Mallard River,
Great Lakes,
Illinois River,
Little Manistee River,
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,
USGS Science Data Catalog (SDC),
Water Resources,
Wisconsin,
agriculture,
These data include survival information for Cisco in the laboratory for up to 30 days after surgical implantation of two different sizes of Lotek acoustic tags. Three-hundred fish of a range of sizes were used for the implantation and controls of this experiment, which was repeated three time. Ancillary data of surgical condition, recovery, and time until death or tag expulsion were also recorded, as well as sizes at beginning and end of observation period and estimated growth.
Abstract: Greenhouse gas-induced climate change will have notable effects on the Great Lakes region, in the atmosphere, land surfaces, and lakes themselves. Simulations of these effects were carried out using the Coupled Hydrosphere-Atmosphere Research Model (CHARM), driven by output from the Canadian General Circulation Model version 3 (CRCM3) for past and future time periods. This results in increased downward longwave radiation and near-surface air temperature. The air temperature increases during summer have strong spatial minima directly over the lakes that are limited to the lowest model layer and seem to be associated with frequent fog depicted by CHARM. Precipitation is also generally increased, with the...
Categories: Publication;
Types: Citation;
Tags: CHARM,
Fish,
General circulation model,
Great Lakes,
National CASC,
Water levels in the Great Lakes are fluctuating in ways that we have not seen in the past, with both historically low- and high-water levels occurring in the last decade. Expectations are that larger and more frequent water-level fluctuations will occur in response to climate change. The increased variability in lake levels has implications for the management of invasive plants found in the coastal wetlands that surround the Great Lakes, with some species benefiting from periods of low water levels. Phragmites australis, a prominent invasive grass that disrupts fish and wildlife habitats, thrived during the most recent period of low lake levels. However, periods of high lake levels could provide managers with opportunities...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2023,
CASC,
Great Lakes,
Midwest,
Midwest CASC,
Indigenous peoples and Tribal communities have lived in the Great Lakes and St. Lawrence region for millenia. Throughout this time, they have lived through great uncertainty through colonialism and assimilation periods. Yet, the effort to make meaningful plans for their communities is now threatened by the uncertainty of changing trends in the environment, such as shifting lake levels and patterns of precipitation. These changes create potential financial burdens on Tribal governments and stresses on Tribal cultural practices such hunting, fishing, and harvesting of subsistence and medicinal plants. Our project focused on developing climate scenario planning activities led by the Tribes and Tribal members we worked...
Categories: Publication;
Types: Citation;
Tags: Great Lakes,
Indigenous Peoples,
Indigenous peoples,
Northeast CASC,
St. Lawrence,
The Great Lakes Restoration initiative (GLRI) template #77 (Beach Recreation Water Quality) in cooperation with 23 local and state agencies expanded the use of predictive modeling at 45 beaches throughout the Great Lakes (fig 1). Local agencies measure fecal-indicator bacteria such as Escherichia coli (E. coli.) along with easily obtained environmental variables used as surrogates to estimate concentrations of fecal-indicator bacteria through a predictive modeling approach. The predictive modeling is being developed by the use of linear regression and/or partial least-squares techniques. The models use software developed by the U.S. Environmental Protection Agency known as “Virtual Beach”. Each beach model is based...
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the location of dikes within the Upper Peninsula Restoration Assessment (UPRA) study area. An ArcGIS model (Python script) identified dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold, the area was not considered a dike. However, if the difference in elevation between two points was significantly high, then the area was marked as a dike. Areas continuous with each other were considered part of the same dike. Data underwent quality control (QC) procedures by having Subject Matter Experts and...
This dataset is a LAS dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The LAS dataset was used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected July 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 20th and 23rd, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
Large lakes provide a variety of ecological services to surrounding cities and communities. Many of these services are supported by ecological processes that are threatened by the increasing prevalence of cyanobacterial blooms which occur as aquatic ecosystems experience cultural eutrophication. Over the past 10 years, Lake Erie experienced cyanobacterial blooms of increasing severity and frequency, which have resulted in impaired drinking water for the surrounding communities. Cyanobacterial blooms may impact ecological processes that support other services, but many of these impacts have not been documented. Secondary production (production of primary consumers) is an important process that supports economically...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Great Lakes,
Great Lakes,
Great Lakes Science Center,
Kansas Water Science Center,
Lake Erie,
The data set is six separate csv files. Four of which contain the quantity of DNA copy numbers and fluor used to analyze the DNA quantities collected from water samples from four separate portions of the study (adult SL field, adult SL lab, larval SL field, larval SL lab) and need to be in their own csv file. Also included is a csv with adult SL trapping data, a csv for larval SL shocking data, and a csv with the volume that was filtered for our DNA extractions.
Categories: Data;
Types: Citation;
Tags: Black River, MI,
Canada,
Great Lakes,
Great Lakes,
Hammond Bay Biological Station,
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