Concentrations and loads of total phosphorus, dissolved phosphorus, and suspended solids were estimated for three sites on the Lower Fox River for October 1988 through September 2021. The sites are the Fox River at Neenah-Menasha (040844105), Fox River at DePere (04085059), and Fox River at the Mouth (040851385). Data analysis was conducted with the Weighted Regressions on Time, Discharge, and Season (WRTDS) method. Daily loads were estimated using the WRTDS method with Kalman filtering. To determine changes in loads over this period, the annual load results were flow-normalized to standardize for the varying flow dynamics that occurred among years. The model archive contains the R code for running the WRTDS model, functions used by the R code, and the input data files. The output folder contains WRTDS model output summarized by 1) water year, 2) water year and season, and 3) water year, season, and three specified values of discharge. The models folder contains the WRTDS model objects. This dataset includes a separate file with all phosphorus, nitrogen, and suspended solids sample data for the three study sites from 1973 to 2022. This file includes a column indicating who collected the samples.

Phosphorus, nitrogen, and suspended-sediment loads, in 24 U.S. tributaries of the Great Lakes, were calculated using U.S. Geological Survey (USGS) data from the Great Lakes Restoration Initiative (GLRI) monitoring program for the period Oct 2010 through Sept 2020 (USGS water years 2011–2020). Total phosphorus, orthophosphate, particulate phosphorus, total nitrogen, nitrate plus nitrite, ammonium plus ammonia, and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment exported downstream at each tributary site. Daily loads were estimated using the WRTDS method with Kalman filtering. To determine the change in loads between the first and last water year in record, the annual load results were flow-normalized to standardize among years with varying flow dynamics. Three primary data tables are provided that describe phosphorus, nitrogen, and suspended-sediment conditions at 24 tributaries across the U.S. Great Lakes watershed: (1) annual results, (2) daily results, and (3) changes results. The annual table is organized by USGS water year (defined as Oct 1–Sept 30). The annual and daily tables also include time-weighted mean concentrations, mean discharge, and yield estimates, the latter being calculated by dividing loads by watershed areas. Descriptions for data tables are provided in the DataDictionary.csv file. Results are also displayed in an interactive web application (https://rconnect.usgs.gov/glritrends). This data release also contains a model archive. The “model_code.zip” file contains the R code and input data to run the models, generate the results, and display the results on a shiny application. The Readme.md file includes instructions of how to run the model and descriptions of all inputs, model arguments, and outputs. Each model (saved as an eList) contains the input data (USGS station information (i.e., site information), daily discharge, and water sample data), model parameters, estimated values, and bootstrapped results. All eLists are archived in the “model_archive” folder, which is organized by sample dataset (i.e., allsamples and midsamples) and are named with the parameter and station number (e.g., NH4_04024000.RData). The RData files used in the shiny application are archived in the “shinydata” folder.

Phosphorus, nitrogen, and suspended-sediment loads, in 24 U.S. tributaries of the Great Lakes, were calculated using U.S. Geological Survey (USGS) data from the Great Lakes Restoration Initiative (GLRI) monitoring program for the period Oct 2010 through Sept 2020 (USGS water years 2011–2020). Total phosphorus, orthophosphate, particulate phosphorus, total nitrogen, nitrate plus nitrite, ammonium plus ammonia, and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment exported downstream at each tributary site. Daily loads were estimated using the WRTDS method with Kalman filtering. To determine the change in loads between the first and last water year in record, the annual load results were flow-normalized to standardize among years with varying flow dynamics. Three primary data tables are provided that describe phosphorus, nitrogen, and suspended-sediment conditions at 24 tributaries across the U.S. Great Lakes watershed: (1) annual results, (2) daily results, and (3) changes results. The annual table is organized by USGS water year (defined as Oct 1–Sept 30). The annual and daily tables also include time-weighted mean concentrations, mean discharge, and yield estimates, the latter being calculated by dividing loads by watershed areas. Descriptions for data tables are provided in the DataDictionary.csv file. Results are also displayed in an interactive web application (https://rconnect.usgs.gov/glritrends). This data release also contains a model archive. The “model_code.zip” file contains the R code and input data to run the models, generate the results, and display the results on a shiny application. The Readme.md file includes instructions of how to run the model and descriptions of all inputs, model arguments, and outputs. Each model (saved as an eList) contains the input data (USGS station information (i.e., site information), daily discharge, and water sample data), model parameters, estimated values, and bootstrapped results. All eLists are archived in the “model_archive” folder, which is organized by sample dataset (i.e., allsamples and midsamples) and are named with the parameter and station number (e.g., NH4_04024000.RData). The RData files used in the shiny application are archived in the “shinydata” folder.

The dataset contains estimates for total phosphorus flux from wastewater treatment plants that discharge to surface water within the Red River of the North Basin in the United States and subbasins. Shapefiles defining the subbasins are available as part of the same data release in which these data are published. Estimates of wastewater treatment plant total phosphorus flux (or load) were calculated by Tammy Ivanhnenko for the years 1978, 1980, 1982, 1984, 1986, 1988, 1990, 1992, 1996, 2000, 2004, 2008, and 2012. Flux estimates were based on the average discharge from the wastewater treatment plants and treatment level, both reported as part of the U.S. Environmental Protection Agency's Clean Watershed Needs Survey, https://www.epa.gov/cwns. The treatment level concentrations used for total phosphorus are based on data from a 2000 U.S. Environmental Protection Agency report (table 2-17; Tetra Tech, Inc. and Andrew Stoddard & Associates, 2000). Tetra Tech, Inc. and Andrew Stoddard & Associates, 2000, Progress in water quality-An evaluation of the National investment in municipal wastewater treatment: U.S. Environmental Protection Agency Technical Report EPA-832-R-00-008, 452 p., accessed November 5, 2015, at http://water.epa.gov/polwaste/wastewater/treatment/benefits.cfm.

The dataset contains estimates for total phosphorus flux from wastewater treatment plants that discharge to surface water within the Red River of the North Basin in the United States and subbasins. Shapefiles defining the subbasins are available as part of the same data release in which these data are published. Estimates of wastewater treatment plant total phosphorus flux (or load) were calculated by Tammy Ivanhnenko for the years 1978, 1980, 1982, 1984, 1986, 1988, 1990, 1992, 1996, 2000, 2004, 2008, and 2012. Flux estimates were based on the average discharge from the wastewater treatment plants and treatment level, both reported as part of the U.S. Environmental Protection Agency's Clean Watershed Needs Survey, https://www.epa.gov/cwns. The treatment level concentrations used for total phosphorus are based on data from a 2000 U.S. Environmental Protection Agency report (table 2-17; Tetra Tech, Inc. and Andrew Stoddard & Associates, 2000). Tetra Tech, Inc. and Andrew Stoddard & Associates, 2000, Progress in water quality-An evaluation of the National investment in municipal wastewater treatment: U.S. Environmental Protection Agency Technical Report EPA-832-R-00-008, 452 p., accessed November 5, 2015, at http://water.epa.gov/polwaste/wastewater/treatment/benefits.cfm.

The dataset contains estimates of annual flow and annual flux in kilograms for six sites in the Red River of the North Basin (identified as basin 1, 2, 3, 4, 5, and 8). The shape files that are part of this data release document the basins and the streamgage locations are also provided in an associated shape file.

The Archive.zip data set contains R source code and inputs and selected outputs associated with regression analyses used to estimate total phosphorus loads for selected sites on Great Lakes tributaries for water years 2014–2018

The Archive.zip data set contains R source code and inputs and selected outputs associated with regression analyses used to estimate total phosphorus loads for selected sites on Great Lakes tributaries for water years 2014–2018

Three water-quality models were generated to estimate total phosphorus (TP) concentrations and loads from 2002 – 2021 in the Boise River near Parma, Idaho. A Weighted Regression on Time Discharge and Season (WRTDS) model and a Weighted Regression on Time Discharge and Season with Kalman filtering (WRTDS-K) model were generated using all observations within the study period to quantify rate of change in TP concentrations and loads. Further, these two models in addition to the Load ESTimator (LOADEST) model were generated using a subset of the observation data and evaluated on the observations withheld from model generation. The results of the models generated with all data are provided in one file ("full_mod_results.csv"), and the results of the models generated with a subset of the data are provided in a second file ("monthly_model_results.csv"). Mean daily discharge and observed total phosphorus are included in each file for comparison against model output.

Three water-quality models were generated to estimate total phosphorus (TP) concentrations and loads from 2002 – 2021 in the Boise River near Parma, Idaho. A Weighted Regression on Time Discharge and Season (WRTDS) model and a Weighted Regression on Time Discharge and Season with Kalman filtering (WRTDS-K) model were generated using all observations within the study period to quantify rate of change in TP concentrations and loads. Further, these two models in addition to the Load ESTimator (LOADEST) model were generated using a subset of the observation data and evaluated on the observations withheld from model generation. The results of the models generated with all data are provided in one file ("full_mod_results.csv"), and the results of the models generated with a subset of the data are provided in a second file ("monthly_model_results.csv"). Mean daily discharge and observed total phosphorus are included in each file for comparison against model output.