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UMESC Data

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The Vigil Network: long-term, broad spectrum data collected to observe landscape change in drainage basins

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 Intake Efficiency: Comparison of measurements obtained using # bedload samplers in a flume

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,

Otolith microchemistry of adult bigheaded carp for determining early-life environments in the Upper Mississippi River 2016-2018

Data set includes water Sr:Ca, Ba:Ca, and δ18O for the Mississippi River and tributaries, and otolith Sr:Ca, Ba:Ca, and δ18O data from bigheaded carp (Silver Carp and BIghead Carp) collected in navigation pools 16-19 of the Upper Mississippi River in 2016 to 2018. Bigheaded carp (Bighead Carp and Silver Carp) are invasive species in the US and have spread throughout most of the lower Mississippi R

Historic Lake Superior shorelines near Odanah, Wisconsin (1852 - 2013)

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

Selected sediment data and results from regression models, modified Einstein Prodecure, and loads estimation for the Nemadji River, 1973-2016

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

Lake Michigan Sea Duck Survey 2009-2014

These data contain observation and null polygons for waterfowl aerial surveys of Lake Michigan collected through the years 2009-2014. Polygons were created adjacent to either side of the flight lines (transects). The right and left offset of the polygons from the flight path, was determined using the average altitude of the plane along the transect and the observation angle through the plane's win

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.

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:

Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States (ver. 2.1, September 2023)

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

Use of an artificial stream to monitor avoidancebehavior of larval sea lamprey in response to TFM and Niclosamide

AEH-18-Baybar-01_compiled_for_R: CSV file with column headers; Trial Date (date the individual trial took place), Location of SL (where they ended up in the system at the end of trial), Total SL Mort (how many dead SL were found in this location), Total SL (how many SL were found in this location), Treatment type (Control, TFM, or Nic), Mainstream chemical (chem that was in mainstream), Side Chann

Topography and near-shore bathymetry of Lake Superior at Minnesota Point, MN, July 2020, and topography and near-shore bathymetry of Lake Superior at Mt, Minnesota Point - Duluth Entry, 2020.

This dataset represents elevation data of the beach topography and near-shore bathymetry of Lake Superior at two locations along Minnesota Point, Duluth, Minnesota. LiDAR data were collected using a Velodyne VLP-16 unit representing the beach topography, and multibeam sonar data were collected using a Norbit integrated Wide Band Multibeam System compact (iWBMSc) sonar for bathymetry. The dataset i

Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota

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

2006-2009 Phytoplankton data collected in the Mississippi River Navigation Pools 8, 13, and 26

The dimensions of each organism were measured with a Whipple grid and the biovolume was estimated using the simplest geometric shape (e.g., cylinder, cone, sphere, etc.) that best fit the shape of each taxon. Shapes were assigned according to Hillebrand et al. (1999). Biovolume was calculated for the first five organisms/counting units of each taxon identified in a sample. The average biovolume wa