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.
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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
Gruber's Grove Bay Mercury Site Assessment
Mercury (Hg) concentrations and isotopic compositions were collected in sediments, soils, and suspended particulate matter from Gruber's Grove Bay (GGB) and upstream reference sites to inform future remedial efforts. The highest concentrations and isotopic signatures were observed in soils collected from historic water settling ponds from the Badger Army Ammunition Plant (BAAP). Sediments from the
Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015-2016)
This dataset includes pipe-flow monitoring data in sewers used to analyze the water budget at RecoveryPark in Detroit, Michigan. These are provided as 3 text *.csv files at sewer locations that drain the study area.
Select soil testing data from RecoveryPark in Detroit, MI (2014)
This dataset includes soil testing data at various locations within RecoveryPark in Detroit, Michigan. These are provided as 2 *.csv files and 1 xlsx workbook.
Envrionmental DNA data for Refinement of eDNA as an early monitoring tool at the landscape-level: Data
These environmental DNA data and corresponding water quality data were collected and analyzed by the Fish and Wildlife Service in 2017. The samples were collected from 4 sites in pools 17 and 18 in the Upper Mississippi River on 3 sampling trips. The data was used to study occupancy modeling of eDNA data and determine optimal sampling effort required for reliable detection of invasive Bighead Carp
Regional Trends of Isotopic Composition in Total Gaseous Mercury Across the United States
The dataset presented here represents the concentrations and stable isotopic composition of gaseous mercury (Hg) for 31 sites across the United States. This national-scale monitoring effort was performed by the National Atmospheric Deposition Program (NADP) and the USGS over a two-year period (March 2016 - May 2018). The network includes a highly diverse set of sites ranging from remote (e.g. Dena