Data

This model archive contains model files and a complete repeatable workflow for source water delineation for groundwater supply wells in the Neversink/Rondout Basins of New York. The U.S. Geological Survey, in cooperation with the NYSDEC and NYSDOH, began an investigation in 2019 with the general objectives of (1) improving understanding of the regional groundwater flow system (2) delineating areas

Long-term monitoring data of geomorphic, hydrological, and biological characteristics of landscapes. This information provides an effective means of relating observed change to possible causes of the change. Identification of changes in basin characteristics, especially in arid areas where the response to altered climate or land use is generally rapid and readily apparent, might provide the initia

Bedload and ancillary data herein were used to calculate and compare the bedload-trapping efficiencies of four types of pressure-difference bedload samplers as part of episodic, sediment-recirculating flume tests. The U.S. Geological Survey, in concert with the Federal Interagency Sedimentation Project (FISP), conducted the tests from January through March 2006 at the St. Anthony Falls Laboratory,

This USGS data release presents historic shorelines of Lake Superior near Odanah, Wisconsin encompassing the delta complex of the Bad River from 1852 to 2013 compiled in a Geographic Information System. The coverage of the shorelines starts approximately 8 km northeast of Ashland and extends for about 40 km to approximately 3 km east of the Bad River mouth. The shorelines were derived from land su

This data set includes new and historical sediment data collected at the U.S. Geological Survey (USGS) streamgage on the Nemadji River near South Superior, Wisconsin (station number 04024430) from 1973 through 2016. The data were used in a comparison study of stream sediment collection and laboratory techniques for characterizing suspended sediment, bedload, and total sediment loads. Data results

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The GLCWRA initiative uses principles of geodesign to identify coastal wetland areas that have the greatest potential for habitat restoration. The data model uses the following seven primary parameters to identify and rank wetland restoration areas. The parameters are:

This data release focuses on nutrient and sediment concentrations, loads, and yields at USGS surface and subsurface-tile edge-of-field (EOF) agricultural monitoring sites in Great Lakes States. Water quality and rainfall metrics are summarized by individual flow events to evaluate the contribution of EOF losses to headwater stream networks in agricultural landscapes. USGS EOF sites are components

This dataset includes laboratory analyses of surface water samples and sediment trap material collected from (1) locations upstream, downstream, and within the Hells Canyon Complex (Idaho, Oregon) of the Snake River, (2) tributaries of the Snake River, and (3) two reservoirs near Boise, Idaho, from 2014 to 2021. The study area spans approximately 232 river miles of the Snake River and includes: tw

Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin mixture (MI

Comma-separated values (.csv) file containing data related to mercury in Salmonid fishes collected from the Snake River and tributaries, Idaho and Oregon.

This USGS data release contains long-term mean annual total nitrogen and total phosphorus load estimates, and the model coefficients used to obtain the load estimates, for streams in the Midwest Region of the United States. The loads were estimated using the Fluxmaster program (Schwarz and others, 2006, https://pubs.usgs.gov/tm/2006/tm6b3) with a 5-parameter model and detrending to 2012 following