Data
UMESC Data
Long Term Resource Monitoring
Long Term Resource Monitoring
The LTRM element is one of two components of the federally mandated Upper Mississippi River Restoration Program.
ScienceBase
ScienceBase
ScienceBase is data and information management infrastructure that enables data upload, documentation, sharing, and dynamic data services using standards-compliant methods and technological components. ScienceBase furnishes a foundation for data stewardship, government open data, and scientific discovery.
Filter Total Items: 342
04087088 - Underwood Creek at Wauwatosa, WI - 2018/09/14 GPS Survey
The dataset contains GPS survey data from the first of two surveys conducted after a high flow event on August 20, 2018, at the USGS streamgage 04087088 - Underwood Creek at Wauwatosa, WI. This survey, on September 14, 2018, documents high-water marks. The survey was performed using Topcon GR-5 GPS unit (SN: 851-10007).
Assessment of uncontained Zequanox applications in a Midwestern lake data
We applied Zequanox using a custom-engineered, boat mounted application system to replicated 0.30 Hectare plots within a small inland lake. The objectives of these applications were to determine if uncontained, open-water Zequanox applications could effectively control zebra mussel populations and protect native unionid mussel populations within zebra mussel infested systems. The datasets included
Rapid assessment test strip data for determining cyanotoxin presence in algal blooms, Kabetogama Lake, northern Minnesota, 2017-2018
Algal toxins are a growing concern worldwide. Rapid assessment test strips are a newer technology and their accuracy in detecting toxins in different lakes with different phytoplankton and toxins present is unknown. This data release is supported by our testing of toxin test strips. This research took place in Voyageurs National Park in northern Minnesota. The research will indicate whether these
Aquatic community and environmental data for 14 rivers and streams in the Milwaukee Metropolitan Sewerage District Planning Area, 2004-13
In 2004, 2007, 2010, and 2013, the U.S. Geological Survey sampled benthic algae and invertebrates, and fish to assess the condition of the aquatic communities and water quality in 14 wadable streams near Milwaukee, Wisconsin. Additional community sampling was also done at a subset of three sites in 2011 and 2012 to assess temporal variation. Selected environmental (physical and chemical) data in t
Soil-Water Balance model datasets used to estimate recharge for southeastern Minnesota, 2014-2018
A previous soil-water balance (SWB) model [Smith and Westenbroek, 2015; http://dx.doi.org/10.3133/sir20155038) for Minnesota was updated to simulate potential recharge rates from 2014 to 2018. The previous model was developed to estimate mean annual potential recharge from 1995 to 2010. The updated model was also run with a newer version of the SWB model, also known as SWB version 2.0 {Westenbroek
DRAINMOD simulations for two agricultural drainage sites in western Fillmore County, southeastern Minnesota
DRAINMOD, a field-scale, process-based, distributed model (Skaggs, 1980; https://www.bae.ncsu.edu/agricultural-water-management/DRAINMOD/), was used to simulate subsurface drainage flow and field water-surface elevations. DRAINMOD simulations are often used to optimize drainage patterns for agricultural fields with subsurface drainage. For this study, the model results were also used to simulate d
Potential groundwater recharge estimates based on a groundwater rise analysis technique for two agricultural sites in southeastern Minnesota, 2016-2018
A water table fluctuation model simulated potential recharge rates from 2016 to 2018 for two agricultural sites in southeastern Minnesota. The model calculated potential recharge rates through the analysis of groundwater rises. A total of 42 piezometers were analyzed for this study using the water table fluctuation model. This methodology of calculating potential recharge rates was used as an inde
Cumulative antecedent precipitation data associated with well water samples collected in eastern Pennsylvania June-November 2017
The dataset includes aggregated precipitation data from a USGS rain gauge for specified 7- or 8-day time periods between May and November 2017. Daily precipitation measurements were summed to produce 7- or 8-day totals over the specified time period.
Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019
A simple linear regression model was developed and calibrated for the Minnesota River at Mankato, Minnesota (Site Number: 05325000). The linear regression model was calibrated using acoustic and suspended-sediment concentration data collected from 2016 through 2019.The calibrated model will be used to improve understanding of sediment transport processes and increase accuracy of estimating sedimen
Data and regression models describing biofilms and water quality in streams surrounding Milwaukee Mitchell International Airport, Milwaukee, Wisconsin (2009-2014)
Heterotrophic biofilm growths were monitored in sites upstream and downstream of Milwaukee Mitchell International Airport, in Milwaukee, Wisconsin; samples were collected primarily during and surrounding the 2009-2010 and 2010-2011 deicing seasons, with additional sample collection occurring in 2014. Biofilms were assessed using both field surveys and modern genetic approaches, and responses to e
SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Midwestern United States, 2012 Base Year
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Midwest Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environme
Isolation of Methylmercury Using Distillation and Anion-Exchange Chromatography for Isotopic Analyses in Natural Matrices Data Release
This dataset consists of concentration and isotopic data for a method designed to isolate and analyze methylmercury. Several matrices (lab-based, and natural) were tested to ensure that the method was capable of recovering methylmercury amendments. Additionally, natural matrices (plankton and sediment) with ambient methylmercury were also analyzed to ensure that the method could be successfully ap