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Geospatial datasets and hydraulic models for the Grand River, Red Cedar River and Sycamore Creek near Lansing, Michigan (ver. 1.1, February 2023)

Hydrologic and hydraulic analyses were done for selected reaches of the Grand River, Red Cedar River and Sycamore Creek near Lansing, Michigan. To update and expand a portion of the Federal Emergency Management Agency detailed Flood Insurance Study, the U.S. Geological Survey (USGS) and the City of Lansing initiated a cooperative study. The study comprised a 3.2-mile reach of the Grand River, a 30

Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Little River, Kentucky.

This data release includes physical and chemical data for samples from upland source and streambank sampling sites in the Little River basin, Kentucky. Data were collected from March to November of 2014. These data include total nitrogen and carbon concentrations, organic carbon concentrations, concentrations for 37 metals, and particle-size analysis. Source samples were grouped into one of four l

Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in the West Fork of Beaver Creek, Minnesota

This data release includes physical and chemical data for samples from suspended and bottom sediments of streams in Minnesota. Data were collected in September 2011 and April 2012. These data include total nitrogen and carbon, organic carbon, concentrations for 39 metals, and particle-size analysis. Source samples were grouped into one of three land-use categories: channel (Mid-bank,Low-bank), cro

Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010

This dataset provides physical and chemical data for a sediment-fingerprinting study conducted in the upper parts of the Linganore Creek watershed in an effort to quantify and determine the sources of fine-grained sediments eroded from and deposited on streambanks, flood plains, channel beds, and agricultural and forested uplands. Data were collected from August 1, 2008 through December 31, 2010.

Temperature data for tegu lizard study in Auburn, Alabama 2017-2018

The dataset contains 11 columns of data collected 2017-2018 during a study to assess the ability of invasive Argentine Black and White Tegu (Salvator merianae) to survive in temperate climates of the southeastern USA. Lizards were individually housed in outdoor semi-natural enclosures on the campus of Auburn University in Auburn, Alabama, USA. Database contains tegu identification number, sex, and

Water-Quality Measurements in Savannah River, Savannah, Georgia, 2020

The Savannah Harbor Expansion Project (SHEP) began in January 2015 with the purpose of deepening the Savannah Harbor federal shipping channel to allow access to larger shipping vessels (U.S. Army Corps of Engineers, 2018a). There are various features and mitigation efforts to the SHEP, one of which is the installation of a dissolved-oxygen (DO) injection system at two locations along the Savannah

Brecchia pipe uranium mine bird survey data, Grand Canyon region, 2014-2015

Containment ponds at uranium mines in the Grand Canyon region have been suspected to pose an attractive nuisance to local wildlife in this arid landscape. To determine the presence of bird species at uranium mine openings, we surveyed the bird community in the area surrounding the mines repeatedly within one year and summarized species occurrence. We observed 35 species of birds directly using the

Pesticide and transformation product concentrations and risk quotients in U.S. headwater streams

This dataset includes a subset of previously released pesticide data (Morace and others, 2020) from the U.S. Geological Survey (USGS) National Water Quality Assessment Program (NAWQA) Regional Stream Quality Assessment (RSQA) project and the corresponding hazard index results calculated using the R package toxEval, which are relevant to Mahler and others, 2020. Pesticide and transformation product

Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019

To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument

UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019

To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Colorado River near Parshall, CO on June 13, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar

UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018

To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River and two cross-sections on the Colorado River near Kremmling, Colorado, on October 17-18, 2018. This parent data release includes

Nitrogen concentrations and loads and seasonal nitrogen loads in selected Long Island Sound tributaries, water years 1995-2016

This U.S. Geological Survey data release presents tabular data on nitrogen concentrations and loads for multiple nitrogen species, and river discharge data used in the analysis of data collected from October 1994 to September 2016. Data on flow and nitrogen concentrations were analyzed using the USGS EGRET R package, and the method of WRTDS (Weighted Regression on Time Discharge and Season). Data