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Data

USGS provides essential science to help ensure the health and function of the Great Lakes. USGS scientists located across the Science Centers identified below, are working on numerous research studies in the Great Lakes Region.

Filter Total Items: 18

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines

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

By
Great Lakes Science Center, Great Lakes Restoration Initiative

Update DOI example

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. Th
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Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis and Research Program, Great Lakes Science Center, Great Lakes Restoration Initiative

Upper Peninsula Coastal Wetland Restoration Assessment: Dikes

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 certai

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Great Lakes Science Center, Great Lakes Restoration Initiative

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Composite Model Layers

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Green Bay Restoration Assessment (GBRA) 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 pa
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Great Lakes Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Great Lakes Restoration Initiative

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines

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
By
Great Lakes Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Great Lakes Restoration Initiative

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Dikes

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 Green Bay Restoration Assessment (GBRA) 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 thre

By
Great Lakes Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Great Lakes Restoration Initiative

High-resolution bathymetry and backscatter data collected near the Stamp Sands of Lake Superior in 2021

The erosion and active transport of legacy mine tailings (called “stamp sands”) are impacting native fish species and aquatic habitats on a shallow water rocky reef complex along the Keweenaw Peninsula of Michigan called Buffalo Reef. Stamp sands are spreading from an old mill site at the Town of Gay and settling on the reef. Multiple surveys have documented the underwater migration of toxic, meta
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Great Lakes Science Center, Great Lakes Restoration Initiative

High-resolution geophysical and sample data collected in the vicinity of Buffalo Reef, Michigan, within Lake Superior, U.S. Geological Survey Field Activity 2021-005-FA

In August 2021, the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, collected high-resolution geophysical data, sediment samples, and bottom imagery to determine the distribution of historical mine tailings on the floor of Lake Superior. Large amounts of waste material from copper mining, locally known as “stamp sands,” were dumped into the lake in the early 20th ce
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Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center, Great Lakes Restoration Initiative

Effects of fungal endophytes on invasive Phragmites australis (ssp. australis) performance in growth chamber and field experiments at the Indiana University Research and Teaching Preserve (N 39.217, W −86.540) (2018)

These data tables contain data collections from field experiments of Phragmites australis (ssp. australis) treated with known fungal endophytes. Tiller counts, tiller diameter, and tiller height measurements were taken every two weeks over an eight-week study period. Clones of Phragmites plants were collected from three different locations: Sandusky, Michigan; Bloomington, Indiana; and the Ottawa
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Great Lakes Science Center, Great Lakes Restoration Initiative

Reference genome for Phragmites australis (Poaceae, subfamily Arundinoideae) and comparison of North American invasive genotype (ssp. australis) and native (ssp. americanus)

These data represent the first reference genome for the invasive Phragmites australis ssp. australis (1.14 giga base pairs (Gbp)), as well as output from comparative genomic and transcriptomic analyses for invasive and native genotypes coexisting in the Great Lakes region of North America. Genome sequencing data used tillers and associated rhizome tissues collected from a single P. australis patch
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Great Lakes Science Center, Great Lakes Restoration Initiative

Data collected to support research on grass crop growth promotion and biostimulation by endophytic bacteria

These data show grass crop and model species response to toxic chemicals (Arsenic (As)) and humic acids. Experiments were performed by collaboration between the U.S. Geological Survey, Rutgers University, and Rey Juan Carlos University. A series of individual experiments investigated beneficial effects of endophytic bacteria on grass crop growth and resilience to known plant toxicity.
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Great Lakes Science Center, Great Lakes Restoration Initiative

Land cover classifications and associated data from treatment areas enrolled in the Phragmites Adaptive Management Framework, 2018

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
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Great Lakes Science Center, Great Lakes Restoration Initiative