Deltaic sand deposits at the head of Lewis and Clark Lake, Nebraska-South Dakota were investigated for suitability for use as a proppant feedstock resource in unconventional oil or gas production. The physical characteristics of the deposits are described in four supplemental data sets in varied file formats. First, for the direct-push cores collected at four sandbar complexes in the Missouri River delta, detailed descriptions of core lithology and texture are provided in Comma Separated Values (CSV) file format. Second, apparent resistivity results from capacitively coupled (CC) resistivity profiles collected along surface-geophysical reconnaissance lines are displayed using standardized color ramps and vertically exaggerated scales. The data are provided in PNG file format. Third, laboratory reports of sediment particle size and shape statistics are provided as PDF-formatted sheets, typically with three sheets per sample corresponding to optical particle-size analyzer (OPSA) results for (1) the washed sample, (2) the subsample sieved to retain only the dominant proppant size class (for example, API 40/70 size or 70/140 size), and (3) the same subsample after undergoing a crush-resistance test at a single stress level of 34.5 MPa (5,000 lbf/in2). These laboratory reports also include graphs showing the particle-size distributions measured by the OPSA. Fourth, photomicrographs of each sample, often but not always provided for each of the three OPSA-analyzed subsamples of each sample. For scale, each photomicrograph includes a 0.5-mm (500 micron)-diameter pencil lead within the field of view. The images are provided in JPEG file format. Images are located with the laboratory results for each sample.

This point data set contains streamflow-measurement sites in the Elkhorn and Loup River basins and selected streamflow-measurement sites in the Niobrara and Platte River basins in north-central Nebraska. At these 531 sites, flows ranging from no flow to 2,600 cubic feet per second were measured or observed during November 8 to 21, 2006. Measurements were made by several different methods, including current meters, flumes, and acoustic Doppler velocimeters. Each measurement site location was recorded using a handheld global positioning system (GPS) unit and then downloaded and stored in a computer spreadsheet. Stored coordinates were used to produce point features in GIS native format.

This point data set contains streamflow-measurement sites in the Elkhorn and Loup River basins and selected streamflow-measurement sites in the Niobrara and Platte River basins in north-central Nebraska. At these 531 sites, flows ranging from no flow to 2,600 cubic feet per second were measured or observed during November 8 to 21, 2006. Measurements were made by several different methods, including current meters, flumes, and acoustic Doppler velocimeters. Each measurement site location was recorded using a handheld global positioning system (GPS) unit and then downloaded and stored in a computer spreadsheet. Stored coordinates were used to produce point features in GIS native format.

This data release includes physical and chemical data for samples from upland sources, eroding banks, streambed deposits, and suspended sediment in the Medicine Creek watershed, Missouri and Iowa. Samples were collected from July 2020 to June 2022. Data include total nitrogen and carbon concentrations, particle size analysis, stable isotope ratios, and concentrations of 49 mineral elements. These data are used for sediment fingerprinting to apportion relative contribution of sources in target fluvial samples, especially differentiation between bank erosion and upland sources. Source samples included streambank samples and upland soil samples, which were grouped by land-use category: crop, pasture, or forested. Target samples included suspended sediment collected with passive samplers and bed material collected specifically from fine-grain depositional areas, if present, within a stream reach.

These data are measurements of sediment depth in the downstream approach channel of Brandon Rd Lock and Dam at Joliet, Illinois, on February 13-14, 2017. Data collection software recorded and stored the horizontal position of the vessel and the measured sediment depth. Data processing required computer software to extract position data from the target data files and to summarize and map the information.

These data are measurements of sediment depth in the downstream approach channel of Brandon Rd Lock and Dam at Joliet, Illinois, on February 13-14, 2017. Data collection software recorded and stored the horizontal position of the vessel and the measured sediment depth. Data processing required computer software to extract position data from the target data files and to summarize and map the information.

These data are measurements of sediment depth in the downstream approach channel of Brandon Rd Lock and Dam at Joliet, Illinois, on February 13-14, 2017. Data collection software recorded and stored the horizontal position of the vessel and the measured sediment depth. Data processing required computer software to extract position data from the target data files and to summarize and map the information.

As part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment Program (NAWQA), an investigation of the Missouri River Basin is being conducted to document trends in surface-water quality, specifically for trends in nutrients and suspended sediment. Surface-water samples were collected from streams at specific sampling stations. Water-quality characteristics at each station are influenced by the natural and cultural characteristics of the drainage area upstream from the sampling station. Efficient quantification of the drainage area characteristics requires a digital map of the drainage area boundary that may be processed, together with other digital thematic maps (such as geology or land use), in a geographic information system (GIS). Digital drainage-area boundary data for one stream-sampling station in the Missouri River Basin (MRB4) study area is included in this data release. The drainage divides were identified chiefly using 1:24,000-scale hypsography.

As part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment Program (NAWQA), an investigation of the Missouri River Basin is being conducted to document trends in surface-water quality, specifically for trends in nutrients and suspended sediment. Surface-water samples were collected from streams at specific sampling stations. Water-quality characteristics at each station are influenced by the natural and cultural characteristics of the drainage area upstream from the sampling station. Efficient quantification of the drainage area characteristics requires a digital map of the drainage area boundary that may be processed, together with other digital thematic maps (such as geology or land use), in a geographic information system (GIS). Digital drainage-area boundary data for one stream-sampling station in the Missouri River Basin (MRB4) study area is included in this data release. The drainage divides were identified chiefly using 1:24,000-scale hypsography.

The primary data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment, and discrete water-quality samples (total nitrogen, total phosphorus, suspended sediment concentration, and suspended sediment sieve diameter) collected during site visits at the USGS streamgage Iroquois River near Foresman, Indiana, April 7, 2015 to July 19, 2018. These continuous and discrete measurements were used to develop a regression model which may be used to compute concentrations and loads of suspended sediment. The secondary data set consists of daily streamflow and daily turbidity values collected continuously by in-situ monitors at Iroquois River near Foresman, Indiana March 20, 2015 to July 19, 2018 which serve as input explanatory variables for the developed regression model to compute suspended sediment at Iroquois River near Foresman. The tertiary data set for March 20, 2015 to July 19, 2018 is the output data set that was developed by application of the regression model and includes the computed daily mean suspended sediment concentration (concentration, upper 95-percent prediction interval, and lower 95-percent prediction interval) and daily mean suspended sediment load (load, upper 95-percent prediction interval, and lower 95-percent prediction interval) estimates.