Between 2011 and 2018, numerous restoration treatments were constructed on the Straight and Braided Reaches of the Kootenai River in northern Idaho as part of the Kootenai River Habitat Restoration Project. This child item of the larger data release contains two .csv file with the data used to investigate the potential impacts of restoration treatments on suspended sediment transport within the study reach. One .csv file contains data collected between 2006 and 2023 at the upstream end of the study reach at U.S. Geological Survey (USGS) streamgage Kootenai River Below Moyie River (streamgage 12308000) and USGS site 4842231161104. The other file contains data collected between 2006 and 2023 at the downstream end of the study reach at USGS streamgage Kootenai River Tribal Hatchery near Bonners Ferry, ID (streamgage 12310100). Each .csv files contains measured suspended sediment concentrations (SSC, in mg/L), the percent fines (< 0.0625 mm) in each sample, and the estimated total discharge for tributaries between Libby Dam and the study reach. Estimated tributary discharge was used in the analysis rather than Kootenai River discharge because Libby Dam upstream of the study reach has a high sediment trapping efficiency and SSC in the study reach is driven primarily by tributary inputs between Libby Dam and the study reach.

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.

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.

A suspended sediment surrogate model was developed using turbidity and streamflow for Clear Creek at the Kooskia National Fish Hatchery – USGS site ID# 13337099. The model archive summary describes the methods and techniques used to develop the model. Model limitations and range of conditions in which the model is valid are defined in the Model Archive Summary Report (13337099_MAS.Final.docx).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River above State Highway 30A at Fonda, New York. (U.S. Geological Survey station number 01349527). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Thirty-nine concurrent measurements of SSC and turbidity, collected from June 12, 2015, through May 28, 2020, were used in the model calibration dataset. Samples were collected across 94 percent of the range in observed discharge and 24 percent of the range in observed turbidity during the model calibration period. The greatest sampled discharges and turbidities during the model calibration period were exceeded less than 0.1 percent and 0.2 percent of the time, respectively. Suspended-sediment concentrations were estimated from an ordinary least squares regression between SSC and turbidity developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

A suspended sediment surrogate model was developed using turbidity and streamflow for Clear Creek at the Kooskia National Fish Hatchery – USGS site ID# 13337099. The model archive summary describes the methods and techniques used to develop the model. Model limitations and range of conditions in which the model is valid are defined in the Model Archive Summary Report (13337099_MAS.Final.docx).

The 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 (suspended sediment concentration, suspended sediment sieve diameter, total nitrogen, and total phosphorus) collected during site visits at the USGS streamgage Kankakee River at Shelby, Indiana (05518000) from January 2016 through May 2018.

The 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 (suspended sediment concentration, suspended sediment sieve diameter, total nitrogen, and total phosphorus) collected during site visits at the USGS streamgage Kankakee River at Shelby, Indiana (05518000) from January 2016 through May 2018.

This data release contains annual estimates of total, fine (<0.0625 millimeter [mm]), and coarse (≥0.0625 mm) suspended sediment concentration and load for 11 sites located on the Lower Mississippi River and Atchafalaya River through 2021. Annual and flow-normalized estimates were calculated using WRTDSplus, an extension of the Weighted Regressions on Time, Discharge, and Season (WRTDS) model which allows users to add a fourth explanatory variable to the model formulation (DeCicco and others, 2024). Input streamflow and suspended sediment data for these models were retrieved from Murphy and others (2022). Details about data processing and model specifications can be found in the companion publication to this data release (Murphy and others, 2025).

This data release contains annual estimates of total, fine (<0.0625 millimeter [mm]), and coarse (≥0.0625 mm) suspended sediment concentration and load for 11 sites located on the Lower Mississippi River and Atchafalaya River through 2021. Annual and flow-normalized estimates were calculated using WRTDSplus, an extension of the Weighted Regressions on Time, Discharge, and Season (WRTDS) model which allows users to add a fourth explanatory variable to the model formulation (DeCicco and others, 2024). Input streamflow and suspended sediment data for these models were retrieved from Murphy and others (2022). Details about data processing and model specifications can be found in the companion publication to this data release (Murphy and others, 2025).