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: 516
Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, tributaries to Lum Drain, Genesee County, Michigan, water years 2012-17 Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, tributaries to Lum Drain, Genesee County, Michigan, water years 2012-17
As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate agricultural conservation practices focused on nutrient management. Monitoring methods allow for rapid assessment of water-quality changes in response to...
Stable Mercury Isotopic Analyses in Natural Matrices via Rapid Pre-Concentration Method Stable Mercury Isotopic Analyses in Natural Matrices via Rapid Pre-Concentration Method
This data relates to the development of a modified pre-concentration method for mercury (Hg) stable isotope measurements that uses chemical Hg reduction and gold trap amalgamation followed by semi-rapid thermal desorption (less than 1 hour) and chemical trapping in a novel oxidizing solution. The thermal desorption method was demonstrated to perform adequately on multiple trapping...
Effects of flood inundation, invasion by Phalaris arundinacea, and nitrogen deposition on extracellular enzyme activity in an UMR forest: Data Effects of flood inundation, invasion by Phalaris arundinacea, and nitrogen deposition on extracellular enzyme activity in an UMR forest: Data
This data set consists of soil properties and extracellular enzymes activities measured during 2014.
Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods
This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable data used in model development and calculation of predictions, and (3) ASCII files used to predict the probability of elevated arsenic across the two study regions. The probability of elevated...
Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin
This data release includes concentrations of contaminants of emerging concern (CEC), by chemical class, for sites sampled within 25 river basins in the U.S. portion of the Great Lakes basin and associated watershed characteristics. The CEC data include concentrations in surface water and sediment samples that were collected during 2010-2014. During the first 3 years, sample sites near...
Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013 Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013
Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages...
Historical data sets including inorganic and organic chemistry of water, oil, and sediments, aquifer hydraulic conductivity, and sediment grain size distribution at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minn Historical data sets including inorganic and organic chemistry of water, oil, and sediments, aquifer hydraulic conductivity, and sediment grain size distribution at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minn
This U.S. Geological Survey (USGS) Data Release provides analytical data from samples and measurements completed at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota (Site) between 1984 and 2010. Included are inorganic and organic chemistry data from water, oil, and sediment samples, hydraulic conductivity data from well slug tests, and...
Investigating the mixing efficiencies of liquid-to-liquid chemical injection manifolds for aquatic invasive species management:Data Investigating the mixing efficiencies of liquid-to-liquid chemical injection manifolds for aquatic invasive species management:Data
Spreadsheet includes data that were used to evaluate the mixing efficiencies of liquid-to-liquid chemical injection manifolds. Specifically, piping designs were developed to deliver fisheries chemicals (e.g. carbon dioxide) into water to control the movements of invasive bigheaded carps. These data describe mixing time, homogeneity and efficacy of carbon dioxide delivery using various...
Sea lamprey quantitative environmental DNA surveillance Sea lamprey quantitative environmental DNA surveillance
The data set is six separate csv files. Four of which contain the quantity of DNA copy numbers and fluor used to analyze the DNA quantities collected from water samples from four separate portions of the study (adult SL field, adult SL lab, larval SL field, larval SL lab) and need to be in their own csv file. Also included is a csv with adult SL trapping data, a csv for larval SL...
MODFLOW-2000 and MODPATH models for simulations used to delineate contributing areas for 2017 pumping conditions to selected wells in Ingham County, Michigan: U.S. Geological Survey data release MODFLOW-2000 and MODPATH models for simulations used to delineate contributing areas for 2017 pumping conditions to selected wells in Ingham County, Michigan: U.S. Geological Survey data release
A regional groundwater flow model (https://pubs.usgs.gov/sir/2009/5244/) was updated to reflect 2017 pumping conditions in the Tri-County Region covering most of Clinton, Eaton, and Ingham Counties, Michigan. This model was developed to simulate the regional hydrologic system in Tri-County area and continues to be used for planning and protection of area water supplies. Revised...
Soil-Water-Balance (SWB) Model used to Simulate Potential Recharge for the Glacial Aquifer System East of the Rocky Mountains, 1980-2011 Soil-Water-Balance (SWB) Model used to Simulate Potential Recharge for the Glacial Aquifer System East of the Rocky Mountains, 1980-2011
This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the glacial aquifer system east of the Rocky Mountains in the conterminous United States at a 1-kilometer (km) resolution for the period 1980-2011. The calibrated SWB model in this model archive and associated U.S. Geological Survey Scientific Investigations Report is...
Weathering of Oil in a Surficial Aquifer, Bemidji, MN Weathering of Oil in a Surficial Aquifer, Bemidji, MN
The dataset consists of 30-year percentage depletion calculations, hydrocarbon group compositions, organic carbon mass fractions and hydrocarbon concentrations for 16 locations sampled at the Bemidji (MN) oil spill study site. Also included in the dataset are concentrations for 33 individual volatile hydrocarbons from the aforementioned sampling locations.