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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...
These data were collected to support the development of detection and classification algorithms to support Bureau of Ocean Energy Management (BOEM) studies and assessments associated with offshore wind energy production. There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It includes instructions and files necessary for training, validating, and testing a machine learning detection algorithm. 02_Imagery.zip contains imagery that were collected using a Partenavia P68 fixed-wing airplane using a PhaseOne iXU-R 180 forward motion compensating 80-megapixel digital frame camera with...
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 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...
Types: GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chippewa,
Ecology,
Great Lakes,
Holocene,
Hydrology,
Nutrient reduction on the landscape scale often focuses on actions that reduce the movement of nitrogen (N) and phosphorus (P) from agricultural lands into streams and rivers. However, processing of N and P in streams and rivers can be substantial and increasing these in-stream processing rates could result in reductions or transformations of nutrients to less labile or less mobile forms. We hypothesize that buffer conditions could influence the microbial community and sediment characteristics of streams and rivers and thereby influence in-stream N and P processing rates. As a result, we predict that variation in buffer land cover (from agricultural to wetlands to forest) causes differences in processing rates....
Concentrations and loads of total phosphorus, dissolved phosphorus, and suspended solids were estimated for three sites on the Lower Fox River for October 1988 through September 2021. The sites are the Fox River at Neenah-Menasha (040844105), Fox River at DePere (04085059), and Fox River at the Mouth (040851385). Data analysis was conducted with the Weighted Regressions on Time, Discharge, and Season (WRTDS) method. Daily loads were estimated using the WRTDS method with Kalman filtering. To determine changes in loads over this period, the annual load results were flow-normalized to standardize for the varying flow dynamics that occurred among years. The model archive contains the R code for running the WRTDS model,...
From 2017-2019, the Upper Midwest Environmental Sciences Center (UMESC) analyzed microcystin concentrations in samples collected from three different studies. The first study was on the movement and distribution of invasive carp (Bighead Carp, Silver Carp, Grass Carp) in the upper Mississippi River between lock and dam 16 and lock and dam 19. Samples were collected from May through October of 2017 and 2018 from backwaters, impounded areas and main channel areas in this reach of the Mississippi River. The second study was a nutrient and metal amendment study performed on natural phytoplankton communities from Lake Erie and Lake Michigan. This was a laboratory study where natural phytoplankton communities were incubated...
Categories: Data;
Tags: Aquatic Biology,
ELISA,
Lake Michigan,
USGS Science Data Catalog (SDC),
Upper Mississippi,
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