Data

This data set, compiled by the USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers for 2023 were deployed to collect data during April 2023 through November 2023 to better understand how hypoxia

Cisco (Coregonus artedi) have been extirpated from Lake Erie since the 1960s, but they once supported one of the largest Laurentian Great Lakes fisheries. Reintroduction may be beneficial to the Lake Erie fishery, but impediments for re-establishment are not fully understood. This data set aimed to use acoustic telemetry to investigate the thermal habitat use and survival of hatchery-reared adult

The US Geological Survey (USGS) created the Dikes dataset as ancillary layer in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The dikes da

The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected to southwestern Lake Erie as part of the Western Lake Erie Restoration Assessment (WLERA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the WLERA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Western Lake Erie Restoration Assessment (WLERA) 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.

This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

The U.S. Geological Survey (USGS) created the Degree Flowlines and Culverts geospatial datasets representing potential culvert locations along with flowlines within the Connecting River Systems Restoration Assessment (CRSRA) study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be u

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Connecting River Systems Restoration Assessment (CRSRA) 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 we

The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected toLake Huron as part of the Saginaw Bay Restoration Assessment (SBRA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the SBRA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Saginaw Bay Restoration Assessment (SBRA) 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

This dataset represenst the location of dikes within the Saginaw Bay Restoration Assessment (SBRA) study area. An ArcGIS model identified dikes as having a difference in elevation and slope 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

Data files contain the simulated mean daily environmental conditions experienced by particles (which can be assumed to be planktonic larval alewife or yellow perch) in Lake Michigan during March 15 - July 31 of past and future years. Simulations were generated by integrating a series of climatic, hydrodynamic, biogeochemical, and Lagrangian particle dispersion (LPD) models. For each year, 42,765 p