total phosphorus, chlorophyll, and total suspended sediment measurements from Missouri reservoirs. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Weekly samples of nutrient concentrations in a small number of Missouri Reservoirs. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Weekly samples of nutrient concentrations in a small number of Missouri Reservoirs. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

National lakes assessment data available from NRSA website. Missouri data on mean hypolimnetic DO is attached. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

National lakes assessment data available from NRSA website. Missouri data on mean hypolimnetic DO is attached. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

This data release includes estimates of annual and daily concentrations and fluxes for nitrate plus nitrite, total phosphorus, and suspended sediment for two sites in the Upper Macoupin Creek Basin watershed (UMCB) produced using the Weighted Regressions on Time, Discharge, and Season -- Kalman Filter (WRTDS-K; Zhang and Hirsch, 2019) model in the Exploration of and Graphics for RivEr Trends (EGRET) package (Hirsch and De Cicco, 2015). It also includes a model archive (R scripts in Scripts.zip) used to retrieve and format the model input data and run the model. Input data, for Macoupin Creek at Highway 111 near Summerville, Illinois, and Macoupin Creek at Highway 108 near Carlinville, Illinois (U.S. Geological Survey site numbers 05586745 and 05586647, respectively), including discrete concentrations and daily mean streamflow, were retrieved from the National Water Information System database (USGS, 2021). Annual and daily estimates range from water year 2018 through water year 2021 (although water year 2018 is protracted due to data collection starting on October 24, 2017). Reference: Hirsch, R.M., and De Cicco, L.A., 2015, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data (version 2.0, February 2015): U.S. Geological Survey Techniques and Methods book 4, chap. A10, 93 p., https://dx.doi.org/10.3133/tm4A10. U.S. Geological Survey, 2021, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed 12/15/2021, at https://doi.org/10.5066/F7P55KJN Zhang, Q., and Hirsch, R.M., 2019. River water‐quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model: Water Resources Research, v. 5, no. 11, p. 9705–9723, https://doi.org/10.1029/2019WR25338.

water quality loadings (nitrogen and phosphorous) from SWAT simulations on different crop expansion scenarios. This dataset is associated with the following publication: Chen, P., Y. Yuan, W. Li, S. LeDuc, T. Lark, X. Zhang, and C. Clark. Assessing the Impacts of Recent Crop Expansion on Water Quality in the Missouri River Basin Using the Soil and Water Assessment Tool. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 13(6): e2020MS002284, (2021).

water quality loadings (nitrogen and phosphorous) from SWAT simulations on different crop expansion scenarios. This dataset is associated with the following publication: Chen, P., Y. Yuan, W. Li, S. LeDuc, T. Lark, X. Zhang, and C. Clark. Assessing the Impacts of Recent Crop Expansion on Water Quality in the Missouri River Basin Using the Soil and Water Assessment Tool. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 13(6): e2020MS002284, (2021).

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 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 regression models which may be used to compute concentrations and loads of total nitrogen and total phosphorus. The secondary data set consists of daily streamflow, daily nitrate, daily turbidity and daily specific conductance 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 models to compute total nitrogen and total phosphorus 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 models and includes the computed daily mean total nitrogen and total phosphorus concentrations (concentration, upper 95-percent prediction interval, and lower 95-percent prediction interval) and daily mean total nitrogen and total phosphorus loads (load, upper 95-percent prediction interval, and lower 95-percent prediction interval).