These are quality-assured time series datasets from weather stations and runoff volume monitoring infrastructure, Cleveland OH. This dataset is associated with the following publication: Shuster, W., and R. Darner. Hydrologic Performance of Retrofit Rain Gardens in a Residential Neighborhood (Cleveland Ohio USA) with a Focus on Monitoring Methods. U.S. Environmental Protection Agency, Washington, DC, USA, 2018.

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 data set includes 5-minute time series runoff and precipitation data of neighborhood catchments with a variety of stormwater control measures, and definition of individual precipitation-runoff events and associated runoff metrics. Also included are geospatial data that delineates the neighborhood catchments with their land use/land cover and stormwater infrastructure. This dataset is associated with the following publication: Woznicki, S., K. Hondula, and T. Jarnagin. Effectiveness of landscape‐based green infrastructure for stormwater management in suburban catchments. Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 32(15): 2346-2361, (2018).

This dataset includes hydrologic fluxes (evapotranspiration estimates, groundwater levels, wastewater fluxes), soil profile taxonomy (texture, horizons, etc.), and near-surface hydraulics (infiltration, drainage rates). This dataset is associated with the following publication: Hoard, C., R. Haefner, W. Shuster, R. Pieschek, and S. Beeler. Full Water-Cycle Monitoring in an Urban Catchment Reveals Unexpected Water Transfers (Detroit MI, USA). JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(1): 82-99, (2020).

This dataset includes volumetric water content data from 8 or 14 sensors in two bioretention planters and the relevant previous storm size. This dataset is associated with the following publication: Nissen, K., M. Borst, and E. Fassman-Beck. Influence of Volumetric Water Content Sensor Configuration in Evaluating Bioretention Planter Retention and Evapotranspiration. Journal of Hydrologic Engineering. American Society of Civil Engineers (ASCE), Reston, VA, USA, 30(5): 04025032, (2025).

These data were collected as part of a study to assess the stormwater volume reduction capabilities of urban street trees. In this paired-catchment study rainfall-runoff relations were developed in a medium-density residential area before and after half of the street trees were removed from the treatment basin. The Supplementary_Event_Data set contains rainfall depth and intensity, event date and duration, and paired runoff volume and peak discharge for 135 rainfall events that ocurred between May and September 2018-2020. Unit value discharge and rainfall data used to develop the Supplementary_Event_Data are also published in this data release.

These data were collected as part of a study to assess the stormwater volume reduction capabilities of urban street trees. In this paired-catchment study rainfall-runoff relations were developed in a medium-density residential area before and after half of the street trees were removed from the treatment basin. The Supplementary_Event_Data set contains rainfall depth and intensity, event date and duration, and paired runoff volume and peak discharge for 135 rainfall events that ocurred between May and September 2018-2020. Unit value discharge and rainfall data used to develop the Supplementary_Event_Data are also published in this data release.

This tabular dataset includes measurements of net radiation, air temperature, relative humidity, wind speed, and calculated reference evapotranspiration (ET0) for a bioretention garden in Douglas County, Nebraska.To determine the amount of water that was lost to the atmosphere, evapotranspiration (ET) was calculated at the Douglas County Health Center (DCHC) bioretention garden by scaling the reference evapotranspiration (ET0) by a landscape coefficient. Measurements of net radiation, air temperature, relative humidity, and wind speed were used to calculate daily ET0 using the Penman-Monteith equation (Monteith and Unsworth, 1990; Allen and others, 1998). Reference evapotranspiration represents ET, in inches, over a well-watered grass of uniform height that completely shades the ground (Allen and others, 1998). To adjust the ET0 to represent the actual ET of the bioretention gardens, a weighted landscape coefficient (KL) was used (Costello and others, 2000).

This tabular dataset includes measurements of net radiation, air temperature, relative humidity, wind speed, and calculated reference evapotranspiration (ET0) for a bioretention garden in Douglas County, Nebraska.To determine the amount of water that was lost to the atmosphere, evapotranspiration (ET) was calculated at the Douglas County Health Center (DCHC) bioretention garden by scaling the reference evapotranspiration (ET0) by a landscape coefficient. Measurements of net radiation, air temperature, relative humidity, and wind speed were used to calculate daily ET0 using the Penman-Monteith equation (Monteith and Unsworth, 1990; Allen and others, 1998). Reference evapotranspiration represents ET, in inches, over a well-watered grass of uniform height that completely shades the ground (Allen and others, 1998). To adjust the ET0 to represent the actual ET of the bioretention gardens, a weighted landscape coefficient (KL) was used (Costello and others, 2000).

This tabular dataset includes precipitation data, inflow and outflow data, and other associated data for a bioretention garden in Douglas County, Nebraska. At the Douglas County Health Center (DCHC) biorentention garden the general monitoring design corresponded to a water balance approach to characterize the inputs, outputs, and change in storage within the bioretention gardens. The components of the water balance that were measured or calculated were precipitation volume, stormwater inflow volume to bioretention garden, overflow volume, and evapotranspiration. The performance of the bioretention gardens was evaluated for a series of rainfall events. The start of an event was determined based on when rainfall began at the site. The end of an event was determined based on when the water level was equal to zero in the stilling well of the inflow flume or when the water level in the bioretention garden was zero, whichever occurred last. Evapotranspiration components were not used in the event-based analysis because this analysis was used to characterize the reduction in stormwater volume and peak discharges to the storm sewer system primarily during time periods of overflow, and these components take place over longer time periods. Change in storage was also excluded from the event-based analyses because time periods were selected to represent rainfall events such that the change in storage of ponded water was always zero.