Data

The granular formulation of Bayluscide [Bayluscide 3.2% Granular Sea Lamprey Larvicide, granular Bayluscide (gB)] is applied in lentic and lotic systems to survey (assessment) and kill (treatment) larval sea lampreys (Petromyzon marinus) in the Great Lakes basin. Granules are spread on the water surface, settle to the sediment surface, and dissolve. The potential risk of niclosamide exposure [5 Ch

This shapefile describes the outputs from the application of a decision support tool (Rohweder and others 2015) used to assist the Northern Missouri Private Lands Program make thoughtful and strategic choices about where to spend its limited management resources. It incorporates landscape and management unit features to help prioritize management on 17 oak savanna and open woodland restoration and

This study continues our investigations into the effects of lampricides on mussels by extending research into potential effects on behavioral and reproductive endpoints on the plain pocketbook mussel(Lampsilis cardium). We hypothesized that TFM (3-trifluoromethyl-4'-nitrophenol) and TFM with Niclosamide (NIC, 2', 5-dichloro-4'-nitrosalicylanilide, hereafter TFM:NIC) would reduce the viability of f

This shapefile describes the outputs from the application of a decision support tool (Rohweder and others 2015) used to assist the Minnesota Valley Wetland Management District make thoughtful and strategic choices about where to spend its limited management resources. It incorporates landscape and management unit features to identify which Waterfowl Production Areas have the greatest biological po

The U.S. Geological Survey, in cooperation with the Minnesota Department of Health, conducted a study to determine the occurrence of six unregulated contaminants in source and finished drinking-water samples collected from 67 public water supply systems throughout Minnesota. Minnesota relies on groundwater and surface water sources for drinking water. Land use, such as wastewater discharge and agr

A series of machine learning (ML) models were developed for Minnesota. The ML models were trained and tested using suspended sediment, bedload, streamflow, and geospatial data to predicted suspended sediment and bedload. Suspended sediment, bedload, and streamflow data were collected during water years 2007 through 2019. The ML models were used to improve understanding of sediment transport proces

This dataset contains water temperature data collected by boat tow on August 30, 2019 between approximately 8:00 AM and 12:15 PM Central Standard Time (CST) in the Milwaukee Estuary of Lake Michigan. The data includes measured water temperatures, depth of collection, water column depth, time of collection, and geospatial coordinates. The objective of this data collection was to produce longitudina

An extreme flood in 2016 caused widespread culvert blockages and road failures across northern Wisconsin, including extensive damage along steep tributaries and ravines in the Marengo River watershed. Along with the flooding, there were fluvial erosion hazards (FEH) associated with a large amount of erosion in headwater areas. Of special concern were FEHs associated with gullying, loss of wetland

This dataset contains measured (interval = 0.5 hour) wave height, peak wave period, water level, and water depth during March 1 to May 1, 2019, at five wave gage locations along the Chincoteague Living Shoreline, Virginia. These wave gages were sampled continuously at 10 Hz to take 20-min bursts every 30 min. These data were used for the analysis of wave attenuation along the oyster-reef-based liv

This dataset contains measured current velocity during March 1 to May 2, 2019, at eleven locations along the Chincoteague Living Shoreline, Virginia.

This data release contains datasets developed for the purpose of training and applying random forest models to the Mississippi Embayment Regional Study Area. The random forest models are designed to predict total stream flow and baseflow as a function of a combination of watershed characteristics and monthly weather data. These datasets are associated with a report (SIR 2022-xxxx) and code contain

This data release includes belowground primary productivity, decomposition, and surface elevation change data from a two-year mesocosm experiment from 2012 to 2014. We conducted experimental greenhouse manipulations of atmospheric CO2 (double ambient CO2) and sediment deposition to simulate a land-falling hurricane under future climate conditions. Experimental greenhouse conditions mimicked a land