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Data

This is the Landing Page for published Data Sets by the Great Lakes Science Center. The map above displays our data releases by geographic location.

Filter Total Items: 181

Great Lakes Restoration Initiative's Terrestrial Habitats & Connectivity Work Group's Pilot Area's Pre-Fiscal Year 2021 Open Habitat Connectivity

This dataset is the first installment of a yearly connectivity update for open habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats & Connectivity (TH&C) work group's Pilot Area. The Pilot Area is a region of the northern Great Lakes Basin between Ashland, WI and the Keweenaw Peninsula and is bounded by Lake Superior in the north and the basin boundary in the south,

Great Lakes Restoration Initiative's Terrestrial Habitats & Connectivity Work Group's Pilot Area's Pre-Fiscal Year 2021 Forest Habitat Connectivity

This dataset is the first installment of a yearly connectivity update for forested habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats & Connectivity (TH&C) work group's Pilot Area. The Pilot Area is a region of the northern Great Lakes Basin between Ashland, WI and the Keweenaw Peninsula and is bounded by Lake Superior in the north and the basin boundary in the sou

Great Lakes Restoration Initiative's Terrestrial Habitats & Connectivity Work Group's Pilot Area's Post-Fiscal Year 2022 Forest Habitat Connectivity

This dataset is the third installment of a yearly connectivity update for forested habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats & Connectivity (TH&C) work group's Pilot Area. The Pilot Area is a region of the northern Great Lakes Basin between Ashland, WI and the Keweenaw Peninsula and is bounded by Lake Superior in the north and the basin boundary in the sou

Great Lakes Restoration Initiative's Terrestrial Habitats & Connectivity Work Group's Pilot Area's Post-Fiscal Year 2021 Open Habitat Connectivity

This dataset is the second installment of a yearly connectivity update for open habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats & Connectivity (TH&C) work group's Pilot Area. The Pilot Area is a region of the northern Great Lakes Basin between Ashland, WI and the Keweenaw Peninsula and is bounded by Lake Superior in the north and the basin boundary in the south,

Development of fluorescent staining method and effect of fluorescent staining on benthic invertebrate picking efficiency

This is a tabular data set that includes intensity and saturation measurements of benthic invertebrates, sample residue, and preservative from samples stained with three fluorescent dyes for the development of a fluorescent staining method to enhance picking efficiency. This data set also contains data evaluating a selected fluorescent method's effects on picking efficiency and comparison to stand

Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2021-2022 (ver. 1.1, November 2023)

The data includes dates, places, and times of sampling events for eggs of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to the Great Lakes in 2021 and 2022. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relat

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

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

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

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

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

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