The dataset contains calculated results of annual and seasonal input of nitrogen from seven major sources in the Calapooia River Watershed and its subwatersheds. It also contains annual and seasonal export of nitrogen from crop harvest and stream export. This dataset is associated with the following publication: Lin, J., J. Compton, S. Leibowitz, G. Mueller-Warrant, W. Matthews, S. Schoenholz, D. Evans, and R. Coulombe. Seasonality of nitrogen balances in a Mediterranean climate watershed, Oregon, US. BIOGEOCHEMISTRY. Springer, New York, NY, USA, 142(2): 247-264, (2019).

The dataset contains calculated results of annual and seasonal input of nitrogen from seven major sources in the Calapooia River Watershed and its subwatersheds. It also contains annual and seasonal export of nitrogen from crop harvest and stream export. This dataset is associated with the following publication: Lin, J., J. Compton, S. Leibowitz, G. Mueller-Warrant, W. Matthews, S. Schoenholz, D. Evans, and R. Coulombe. Seasonality of nitrogen balances in a Mediterranean climate watershed, Oregon, US. BIOGEOCHEMISTRY. Springer, New York, NY, USA, 142(2): 247-264, (2019).

This file contains water balances, monthly nitrate leaching and concentrations, field site descriptions and field crop inputs and harvest information.

the dataset includes: 1. EPIC_outputs are EPIC yearly output files from Rainfed/Irrigated corn grain simulations using 2006/2011 fertilizer management scenario for the simulation periods of 2002 to 2009 and 2010 to 2017 (e.g. CornGrainIrrig-2006FMS_yrs2002-09.csv: yearly output from 2002 to 2009 for Irrigated Corn grain using 2006 fertilizer management scenario; CornGrainRainfed-2011FMS_yrs2010-2017.csv: yearly output from 2010 to 2017 for Rainfed Corn grain using 2011 fertilizer management scenario); 2. \EPIC_outputsAggregated are saved average annual EPIC output aggregated over entire CONUS or GRIDCELL used for GIS maps including Figures 4, 5 and 9 (e.g. CONUS_2006FMS_AvgOf2003-2009.csv: average annual EPIC output using 2006 fertilizer management scenario for period from 2003 to 2009 and aggregated over CONUS CONUS_GRIDCELL_2006FMS_AvgOf2003-2009.csv: average annual EPIC output using 2006 fertilizer management scenario for period from 2003 to 2009 and aggregated over each CONUS GRIDCELL); 3.\SummaryData_FromEPIC_for_Tables_Figs are saved summarized data for all the tables and Figs in Excel sheets. This dataset is associated with the following publication: Wang, X., Y. Yuan, V. Benson, and L. Ran. An Integrated Multi-Media Modeling System for Regional- to National-Scale Nitrogen and Crop Productivity Assessments. Agriculture. MDPI, Basel, SWITZERLAND, 15(10): 1017, (2025).

This dataset includes all of the variables that were used in predictive models to estimate nitrogen and phosphorus fertilizer use from commercial fertilizer sales data at the catchment/county level for the Conterminous U.S. for the year 2012. The dataset includes model input at the catchment/county level. A companion USGS Scientific Investigations Report describes the methods and subsequent results of two models developed for estimating elemental nitrogen and phosphorus commercial fertilizer use on agricultural lands for the conterminous US at the catchment/county scale for the year 2012. A companion data release provides catchment-level estimates of nitrogen and phosphorus fertilizer use, for agricultural lands, for the Conterminous U.S., for 2012. The software and methods used for producing this dataset are described in the USGS Scientific Investigations Report listed in this metadata under Larger Work Citation.

This dataset includes all of the variables that were used in predictive models to estimate nitrogen and phosphorus fertilizer use from commercial fertilizer sales data at the catchment/county level for the Conterminous U.S. for the year 2012. The dataset includes model input at the catchment/county level. A companion USGS Scientific Investigations Report describes the methods and subsequent results of two models developed for estimating elemental nitrogen and phosphorus commercial fertilizer use on agricultural lands for the conterminous US at the catchment/county scale for the year 2012. A companion data release provides catchment-level estimates of nitrogen and phosphorus fertilizer use, for agricultural lands, for the Conterminous U.S., for 2012. The software and methods used for producing this dataset are described in the USGS Scientific Investigations Report listed in this metadata under Larger Work Citation.

The dataset contains coded data extracted from 24 publications with quantitative values on the effectiveness of nutrient management practices for DRP losses. Within the dataset has been split into two categories: 1) plot-scale studies where the maximum study area was 0.05 ha and 2) field-scale studies with study areas ranging from 0.5 to 20 ha. The dataset contains information regarding study areas, soil type, monitoring details, nutrient management details, and phosphorus losses from the study areas. This dataset is associated with the following publication: Prasad, L.R., A.M. Thomason, F.J. Arriaga, L. Koropeckyj-Cox, and Y. Yuan. Effectiveness of Residue and Tillage Management on Runoff Pollutant Reduction from Agricultural Areas. Journal of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 66(6): 1341-1354, (2023).

Nitrogen and phosphorus losses from agricultural areas have impacted the water quality of downstream rivers, lakes, and oceans. As a result, investment in the adoption of agricultural best management practices (BMPs) has grown but assessments of their effectiveness at large spatial scales have been sparse. This study applies regional Spatially Referenced Regression On Watershed-attributes (SPARROW) models developed for the Midwest, Northeast, and Southeast regions of the United States to quantify regional effects of BMPs on nutrient losses from agricultural lands. These models were used because they account for specific BMPs in the prediction of instream nutrient loads. This data release accompanies the journal article "Quantifying regional effects of best management practices on nutrient losses from agricultural lands" (https:// doi:10.5066/pending), and it contains the input and output data for the modeling scenarios that were evaluated relative to the 2012 regional SPARROW models.

Nitrogen and phosphorus losses from agricultural areas have impacted the water quality of downstream rivers, lakes, and oceans. As a result, investment in the adoption of agricultural best management practices (BMPs) has grown but assessments of their effectiveness at large spatial scales have been sparse. This study applies regional Spatially Referenced Regression On Watershed-attributes (SPARROW) models developed for the Midwest, Northeast, and Southeast regions of the United States to quantify regional effects of BMPs on nutrient losses from agricultural lands. These models were used because they account for specific BMPs in the prediction of instream nutrient loads. This data release accompanies the journal article "Quantifying regional effects of best management practices on nutrient losses from agricultural lands" (https:// doi:10.5066/pending), and it contains the input and output data for the modeling scenarios that were evaluated relative to the 2012 regional SPARROW models.

Dataset_For _P_Management_Paper. This dataset is associated with the following publication: Kamrath, B., and Y. Yuan. Effectiveness of Nutrient Management For Reducing Phosphorus Losses From Agricultural Areas.. Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 1(2): 77-88, (2023).