The data set contains phosphorus and nitrogen concentrations and loads measured as part of a study to determine if, and by how much, removing leaves and other organic detritus from streets, through municipal leaf collection and street cleaning programs, could reduce nutrient contributions to local water bodies. Stormwater runoff was sampled in paired, medium-density, residential catchments during the fall. One catchment was established as a control in which there was no effort to remove leaf litter and other organic detritus from streets. The second catchment served as the test catchment in which removal of leaf litter was done through a combination of municipal leaf collection and street cleaning on a weekly or biweekly schedule. These data are interpreted in a USGS Scientific Investigation Report.

This dataset characterizes water quality and quantity data from 33 storm events at the influent and effluent of a stormwater treatment vault modified with a Coanda-effect screen in Madison, Wisconsin (2016-17). Event dates, event duration, precipitation depth, 15-minute intensity, 30-minute intensity, 60-minute intensity, event volume, and peak discharge are shown with corresponding influent and effluent concentrations and loads as well as percent reductions and load reductions of total suspended solids (TSS), volatile suspended solids (VSS), suspended sediment concentration (SSC), total phosphorus (TP), and dissolved phosphorus (DP). Data are interpreted in a scientific paper published in the Journal of Sustainable Water in the Built Environment.

This dataset characterizes water quality and quantity data from 33 storm events at the influent and effluent of a stormwater treatment vault modified with a Coanda-effect screen in Madison, Wisconsin (2016-17). Event dates, event duration, precipitation depth, 15-minute intensity, 30-minute intensity, 60-minute intensity, event volume, and peak discharge are shown with corresponding influent and effluent concentrations and loads as well as percent reductions and load reductions of total suspended solids (TSS), volatile suspended solids (VSS), suspended sediment concentration (SSC), total phosphorus (TP), and dissolved phosphorus (DP). Data are interpreted in a scientific paper published in the Journal of Sustainable Water in the Built Environment.

This dataset describes the storm event mean concentrations and loads of total and dissolved forms of phosphorus and nitrogen from paired samples collected in the control and test catchment during the calibration and treatment phase of a leaf removal study in Madison, Wisconsin, USA. Samples were collected in spring 2013 through fall 2015 and are parsed by season where spring represents April – May, summer represents June – September and fall represents October – November. Measured weather parameters for each sampled storm event are also described. These data are interpreted in a journal article published in Science of the Total Environment.

This dataset describes the storm event mean concentrations and loads of total and dissolved forms of phosphorus and nitrogen from paired samples collected in the control and test catchment during the calibration and treatment phase of a leaf removal study in Madison, Wisconsin, USA. Samples were collected in spring 2013 through fall 2015 and are parsed by season where spring represents April – May, summer represents June – September and fall represents October – November. Measured weather parameters for each sampled storm event are also described. These data are interpreted in a journal article published in Science of the Total Environment.

Data were obtained in order to evaluate differences among watersheds that vary in stormwater management practice arrangement by assessing differences in baseflow nutrient fluxes and stormflow export of suspended sediments and total particulate phosphorus. The study area is located the Piedmont in Clarksburg, Montgomery, County Maryland. Watersheds included a forested watershed (For-MD), centralized stormwater management watershed (Cent-MD), and distributed stormwater management watershed (Dist-MD).

Data were obtained in order to evaluate differences among watersheds that vary in stormwater management practice arrangement by assessing differences in baseflow nutrient fluxes and stormflow export of suspended sediments and total particulate phosphorus. The study area is located the Piedmont in Clarksburg, Montgomery, County Maryland. Watersheds included a forested watershed (For-MD), centralized stormwater management watershed (Cent-MD), and distributed stormwater management watershed (Dist-MD).

Summary of rain event date, rainfall depth, and volumetric water content. This dataset is associated with the following publication: Nissen, K., M. Borst, and E. Fassman-Beck. Bioretention Flow-Through Planter Performance and Design Considerations. Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 12(2): 04025018, (2026).

Nitrogen (N), phosphorus (P), and total suspended solids (TSS) loads, in Hampton Roads, Virginia stormwater conveyance systems have been calculated using monitoring data from 12 intensively monitored watersheds for the period from water year (October - September) 2016 through 2020. Nutrient and TSS loads were computed using a surrogate (multiple-linear regression) approach with lab analyzed N, P, and TSS samples as the response variable and basic water-quality parameters (e.g. turbidity, specific conductance, water temperature), streamflow, a baseflow separation Boolean term, and time and seasonal terms as predictor (surrogate) variables. Load results represent the mass of N, P, and TSS exported from each of the Hampton Roads watersheds. Coefficients are provided for each unique station-constituent model. Loads are provided for the following constituents: TSS, total N, total P, nitrate plus nitrite, total Kjeldahl N, total organic N, and orthophosphate. Streamflow is an important driver of water-quality conditions; therefore, datasets are provided describing stream flashiness as well as a suite of event-based metrics, which include stormflow volume, peak flow, lag to peak, storm event duration, time to peak, runoff ratio, and rise rate. Streamflows are driven by precipitation patterns; therefore, rainfall data collected at 10 Hampton Roads Sanitation District (HRSD) gages are also provided. These data were used to evaluate rainfall patterns during the study period as well as compute the lag to peak and runoff ratio metrics for each storm event. This data release contains six comma-delimited (.csv) files and one zip file with corresponding data dictionary files (.csv). HRSD.Rain.csv contains 15-minute interval rainfall data collected at 10 precipitation gages operated by the HRSD. HR_Loads_CalibrationData.csv contains all data used in the calibration of surrogate regression models for the computation of N, P, and TSS loads. HR_Loads_SurrogateData.csv contains 5-minute interval measurements of streamflow, water-quality parameters, and a Boolean baseflow separation identifier “BASE.” These data were used to compute 5-minute interval measurements of N, P, and TSS loads using surrogate regression models, which were calibrated with the data provided in HR_Loads_CalibrationData.csv. Model_Coefficients.csv contains the coefficients for each station-constituent specific model. Storm_Events.csv contains an identification number and mean timestamp for each storm extracted using the methods described in Porter, 2022, and seven metrics describing the hydrograph. RBI.csv contains an average Richards-Baker Flashiness (RBI) index score for 41 streamgaging stations operated by the United States Geological Survey: Virginia and West Virginia Water Science Center. UV_Loads.zip contains 12 identically formatted data tables with 5-minute unit value predictions of N, P, and TSS loads from the beginning of water year (October 1 - September 30) 2016 through 2020 at 12 stormwater monitoring stations in the Hampton Roads region of Virginia. For each file entity and attributes are described in data.dictionary.csv that shares the same name. The data dictionary file "UV_Loads_Data.dictionary..csv" applies to all .csv files in the UV_Loads.zip. A README text file is also attached, which contains descriptions of each data table and supplementary information.

Nitrogen (N), phosphorus (P), and total suspended solids (TSS) loads, in Hampton Roads, Virginia stormwater conveyance systems have been calculated using monitoring data from 12 intensively monitored watersheds for the period from water year (October - September) 2016 through 2020. Nutrient and TSS loads were computed using a surrogate (multiple-linear regression) approach with lab analyzed N, P, and TSS samples as the response variable and basic water-quality parameters (e.g. turbidity, specific conductance, water temperature), streamflow, a baseflow separation Boolean term, and time and seasonal terms as predictor (surrogate) variables. Load results represent the mass of N, P, and TSS exported from each of the Hampton Roads watersheds. Coefficients are provided for each unique station-constituent model. Loads are provided for the following constituents: TSS, total N, total P, nitrate plus nitrite, total Kjeldahl N, total organic N, and orthophosphate. Streamflow is an important driver of water-quality conditions; therefore, datasets are provided describing stream flashiness as well as a suite of event-based metrics, which include stormflow volume, peak flow, lag to peak, storm event duration, time to peak, runoff ratio, and rise rate. Streamflows are driven by precipitation patterns; therefore, rainfall data collected at 10 Hampton Roads Sanitation District (HRSD) gages are also provided. These data were used to evaluate rainfall patterns during the study period as well as compute the lag to peak and runoff ratio metrics for each storm event. This data release contains six comma-delimited (.csv) files and one zip file with corresponding data dictionary files (.csv). HRSD.Rain.csv contains 15-minute interval rainfall data collected at 10 precipitation gages operated by the HRSD. HR_Loads_CalibrationData.csv contains all data used in the calibration of surrogate regression models for the computation of N, P, and TSS loads. HR_Loads_SurrogateData.csv contains 5-minute interval measurements of streamflow, water-quality parameters, and a Boolean baseflow separation identifier “BASE.” These data were used to compute 5-minute interval measurements of N, P, and TSS loads using surrogate regression models, which were calibrated with the data provided in HR_Loads_CalibrationData.csv. Model_Coefficients.csv contains the coefficients for each station-constituent specific model. Storm_Events.csv contains an identification number and mean timestamp for each storm extracted using the methods described in Porter, 2022, and seven metrics describing the hydrograph. RBI.csv contains an average Richards-Baker Flashiness (RBI) index score for 41 streamgaging stations operated by the United States Geological Survey: Virginia and West Virginia Water Science Center. UV_Loads.zip contains 12 identically formatted data tables with 5-minute unit value predictions of N, P, and TSS loads from the beginning of water year (October 1 - September 30) 2016 through 2020 at 12 stormwater monitoring stations in the Hampton Roads region of Virginia. For each file entity and attributes are described in data.dictionary.csv that shares the same name. The data dictionary file "UV_Loads_Data.dictionary..csv" applies to all .csv files in the UV_Loads.zip. A README text file is also attached, which contains descriptions of each data table and supplementary information.