Geospatial coordinates of plots.

These data are surface water and groundwater chemistry collected at an urban stream in Baltimore MD, USA. This dataset is associated with the following publication: Mayer, P., M. Pennino, T. Newcomer-Johnson, and S. Kaushal. Long-term assessment of floodplain reconnection as a stream restoration approach for managing nitrogen in ground and surface waters. Urban Ecosystems. Springer Science+Business Media B.V, Dordrecht, NETHERLANDS, s11252-021-01199-z, (2022).

These data are surface water and groundwater chemistry collected at an urban stream in Baltimore MD, USA. This dataset is associated with the following publication: Mayer, P., M. Pennino, T. Newcomer-Johnson, and S. Kaushal. Long-term assessment of floodplain reconnection as a stream restoration approach for managing nitrogen in ground and surface waters. Urban Ecosystems. Springer Science+Business Media B.V, Dordrecht, NETHERLANDS, s11252-021-01199-z, (2022).

This data set consists of soil properties and extracellular enzymes activities measured during 2014.

This data set presents ecosystem geomorphic and soil attributes, sediment and nutrient loading rates, and rates of nutrient biogeochemistry processes, including denitrification and N and P mineralization, in floodplains of urban restored streams. The restored streams were located in the Charlotte, North Carolina, metropolitan area and were studied from 2012-2013.

The dataset contains lab analyzed water chemistry and field collected data from hand held sondes. This dataset is associated with the following publication: Narr, C.F., H. Singh, P. Mayer, A. Keeley, B. Faulkner, D. Beak, and K.J. Forshay. Quantifying the Effects of Surface Conveyance of Treated Wastewater Effluent on Groundwater, Surface Water, and Nutrient Dynamics in a Large River Floodplain. ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 129: 123-133, (2019).

Excess sediments and anthropogenic nutrients, especially nitrogen (N) and phosphorous (P), are leading cause of water quality impairment in streams and wetlands throughout the Mid-Atlantic Region of the US. Legacy sediments, deposited as a function of historic mill dam construction, may contribute significantly to the sediment and nutrient load of streams and waterways. In addition, the accumulation of legacy sediments in valley bottoms has buried extensive Holocene wetlands, and substantially altered the hydrology of entire watersheds. This data contains water quality measurements collected before and after sediment restoration at Big Spring Run in Pennsylvania.

This dataset consists of input and output datasets for estimating nitrogen and phosphorus balances for the Mississippi River Basin from 1950 to 2017. The N balance was calculated as the difference between inputs (fertilizer, manure, wastewater treatment facility effluent, N20 fixation, and atmospheric deposition) and outputs (crop uptake and removal in harvest and gaseous emissions to the atmosphere). The P balance was calculated as the difference between inputs (fertilizer, manure, wastewater treatment facility effluent, and weathering) minus outputs (P harvested and removed in crops, hay, and pasture).

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.