It is a compilation of organism concentrations of 16 sampling events conducted between July 2015 and February 2016. It also includes statistical analysis such as mean, standard deviation, etc. also, probability graphs are included. This dataset is associated with the following publication: Selvakumar, A., and T. OConnor. Organism Detection in Permeable Pavement Parking Lot Infiltrates at the Edison Environmental Center, NJ. WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 90(1): 21-29, (2018).

We collected data 2012-2016 covering spatially-explicit, soil layering, bulk density, drainage rate (2012, 2015) infiltration into rain garden mulch and mineral soil layers; and full water cycle monitoring data. Links for the latter are given in the SDM document. This dataset is associated with the following publication: Shuster, W., R. Darner, L. Schifman, and D. Herrmann. Factors contributing to the hydrologic effectiveness of a rain garden network (Cincinnati OH USA). Infrastructures. MDPI AG, Basel, SWITZERLAND, 2(3): 11, (2017).

This data set contains seasonal number for fecal coliform, E. coli, and enterococci. This dataset is associated with the following publication: Selvakumar, A., and T. Oconnor. Seasonal Variation in Indicator Organisms Infiltrating from Permeable Pavement Parking Lots at the Edison Environmental Center, New Jersey. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 94(9): e10791, (2022).

While permeable pavement is increasingly being used to control stormwater runoff, field-based, side-by-side investigations on the effects different pavement types have on nutrient concentrations present in stormwater runoff are limited. In 2009, the U.S. EPA constructed a 0.4-ha parking lot in Edison, New Jersey, that incorporated permeable interlocking concrete pavement (PICP), pervious concrete (PC), and porous asphalt (PA). Each permeable pavement type has four, 54.9-m2, lined sections that direct all infiltrate into 5.7-m3 tanks enabling complete volume collection and sampling. This paper highlights the results from a 12-month period when samples were collected from 13 rainfall/runoff events and analyzed for nitrogen species, orthophosphate, and organic carbon. Differences in infiltrate concentrations among the three permeable pavement types were assessed and compared with concentrations in rainwater samples and impervious asphalt runoff samples, which were collected as controls. Contrary to expectations based on the literature, the PA infiltrate had significantly larger total nitrogen (TN) concentrations than runoff and infiltrate from the other two permeable pavement types, indicating that nitrogen leached from materials in the PA strata. There was no significant difference in TN concentration between runoff and infiltrate from either PICP or PC, but TN in runoff was significantly larger than in the rainwater, suggesting meaningful inter-event dry deposition. Similar to other permeable pavement studies, nitrate was the dominant nitrogen species in the infiltrate. The PA infiltrate had significantly larger nitrite and ammonia concentrations than PICP and PC, and this was presumably linked to unexpectedly high pH in the PA infiltrate that greatly exceeded the optimal pH range for nitrifying bacteria. Contrary to the nitrogen results, the PA infiltrate had significantly smaller orthophosphate concentrations than in rainwater, runoff, and infiltrate from PICP and PC, and this was attributed to the high pH in PA infiltrate possibly causing rapid precipitation of orthophosphate with metal cations. Orthophosphate was exported from the PICP and PC, as evidenced by the significantly larger infiltrate concentrations compared with influent sources of rainwater and runoff. This dataset is associated with the following publication: Brown , R., and M. Borst. Nutrient Infiltrate Concentrations from Three Permeable Pavement Types. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 164: 74-85, (2015).

Main dataset of stable isotope, analytes, and environmental parameters measured. This dataset is associated with the following publication: Devereux, R., Y. Wan, J.L. Rackley, V. Fasselt, and D. Vivian. Comparative analysis of nitrogen concentrations and sources within a coastal urban bayou watershed: A multi-tracer approach. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 776: 145862, (2021).

This dataset identifies the amount of wet, dry, and total deposition of nitrogen in kilograms per hectare from 2014 to 2016 at a set of point locations across the contiguous 48 states. Summary data in this indicator were provided by EPA’s Office of Atmospheric Programs, based on deposition data from two sources. Wet deposition data are from the National Atmospheric Deposition Program/National Trends Network (NADP, 2018) (http://nadp.slh.wisc.edu/), and dry deposition data are from the Clean Air Status and Trends Network (U.S. EPA, 2018) (https://www.epa.gov/castnet). This indicator aggregates data across 3-year periods to avoid influences from short-term fluctuations in meteorological conditions.

The raster data represent the amount of wet nitrate deposition in kilograms per hectare from 2014 to 2016. Summary data in this indicator were provided by EPA’s Office of Atmospheric Programs. Wet deposition data are from the National Atmospheric Deposition Program/National Trends Network (NADP, 2018) (http://nadp.slh.wisc.edu/). This indicator aggregates data across 3-year periods to avoid influences from short-term fluctuations in meteorological conditions, and wet deposition data were interpolated among monitoring stations to generate the map shown.

The raster data represent the amount of wet nitrate deposition in kilograms per hectare from 2014 to 2016. Summary data in this indicator were provided by EPA’s Office of Atmospheric Programs. Wet deposition data are from the National Atmospheric Deposition Program/National Trends Network (NADP, 2018) (http://nadp.slh.wisc.edu/). This indicator aggregates data across 3-year periods to avoid influences from short-term fluctuations in meteorological conditions, and wet deposition data were interpolated among monitoring stations to generate the map shown.

The raster data represent the amount of wet nitrate deposition in kilograms per hectare from 2014 to 2016. Summary data in this indicator were provided by EPA’s Office of Atmospheric Programs. Wet deposition data are from the National Atmospheric Deposition Program/National Trends Network (NADP, 2018) (http://nadp.slh.wisc.edu/). This indicator aggregates data across 3-year periods to avoid influences from short-term fluctuations in meteorological conditions, and wet deposition data were interpolated among monitoring stations to generate the map shown.