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

This data release contains groundwater-quality data for nitrate and chloride, and well information for sample sites for aquifers in the Great Lakes Basin within the United States. Water-quality data and well information were derived from a dataset compiled from the U.S. Geological Survey (USGS) National Water Information System and numerous agencies and organizations at the state, regional, and local level. The data presented in this data release are data pulled from the USGS National Water Quality Program groundwater assessment team’s internal dataset, informally referred to as the National Groundwater aggregation (NGA). Data collected in the Great Lakes Basin by the U.S. and Canada augment the NGA. Specifically, only geochemical parameters of interest (nitrate and chloride) from wells in the national groundwater aggregation are presented in this data release, while data from springs were not used.

,SPAW is a daily hydrologic budget model for agricultural fields and ponds (wetlands, lagoons, ponds and reservoirs). Included are irrigation scheduling and soil nitrogen. Data input and results are graphical screens.,The SPAW (Soil-Plant-Air-Water) computer model simulates the daily hydrologic water budgets of agricultural landscapes by two connected routines, one for farm fields and a second for impoundments such as wetland ponds, lagoons or reservoirs. Climate, soil and vegetation data files for field and pond projects are selected from those prepared and stored with a system of interactive screens. Various combinations of the data files readily represent multiple landscape and ponding variations.,

Water-quality and streamflow data are available at https://doi.org/10.5066/F7P55KJN. Calculated nutrient and sediment loads are available at https://doi.org/10.5066/P96H2BDO. Inputs to the Chesapeake Bay Program's watershed model are available at https://doi.org/10.5066/P93SVYQG. Estimated nutrient and sediment management-practice load reductions are available at https://doi.org/10.5066/P95WG7G0. Expected physical effects of agricultural conservation practices are available at https://doi.org/10.5066/P9VY95KT. This dataset is associated with the following publication: Webber, J., j. Chanat, J. Clune, O. Devereux, N. Hall, R. Sabo, and Q. Zhang. Evaluating water-quality trends in agricultural watersheds prioritized for management-practice implementation. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 305-330, (2024).

Midwest and nitrate-N loss data for nutrient management. This dataset is associated with the following publication: Liu, W., Y. Yuan, and L. Koropeckyj-Cox. Effectiveness of Nutrient Management on Water Quality Improvement: A Synthesis on Nitrate-Nitrogen Loss from Subsurface Drainage. Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 64(2): 675-689, (2021).

Soil data were collected from catchments of USGS edge-of-field (EOF) monitoring sites in Great Lakes Restoration Initiative (GLRI) priority watersheds. As part of this release, soil data from 2016 through 2019 are provided from 14 sites spanning 5 Great Lake States (Wisconsin, Michigan, Ohio, Indiana, and New York). The data collected are from private farms representing a variety of agronomic systems, landscapes settings, soil types, and climate regimes. These data can be used to investigate relationships among microbial properties (e.g. soil microbial biomass, activity, diversity, and enzymes), general soil structure (e.g. bulk density, soil aggregate structure, soil water holding capacity, soil texture, and infiltration rates), soil resources (e.g. organic matter, reactive carbon, total carbon, nitrogen, water extractable phosphorus, cations), and exported resources (e.g. runoff volume, phosphorus loads). Water quality data, site descriptions, and management are provided in a companion data release (Komiskey and others, 2021).

Soil data were collected from catchments of USGS edge-of-field (EOF) monitoring sites in Great Lakes Restoration Initiative (GLRI) priority watersheds. As part of this release, soil data from 2016 through 2019 are provided from 14 sites spanning 5 Great Lake States (Wisconsin, Michigan, Ohio, Indiana, and New York). The data collected are from private farms representing a variety of agronomic systems, landscapes settings, soil types, and climate regimes. These data can be used to investigate relationships among microbial properties (e.g. soil microbial biomass, activity, diversity, and enzymes), general soil structure (e.g. bulk density, soil aggregate structure, soil water holding capacity, soil texture, and infiltration rates), soil resources (e.g. organic matter, reactive carbon, total carbon, nitrogen, water extractable phosphorus, cations), and exported resources (e.g. runoff volume, phosphorus loads). Water quality data, site descriptions, and management are provided in a companion data release (Komiskey and others, 2021).

This tabular data set represents estimated loads of nitrogen and phosphorous from fertilizer and manure applied on agricultural land for the year 2012 compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for estimated loads of nitrogen and phosphorous from fertilizer for 2012 was produced by Brakebill and others, (USGS, 2017) and the source data for estimated loads of nitrogen and phosphorous from manure for 2012 was produced by Gronberg and others, (USGS, 2017). Units are kilograms. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents estimated loads of nitrogen and phosphorous from fertilizer and manure applied on agricultural land for the year 2012 compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for estimated loads of nitrogen and phosphorous from fertilizer for 2012 was produced by Brakebill and others, (USGS, 2017) and the source data for estimated loads of nitrogen and phosphorous from manure for 2012 was produced by Gronberg and others, (USGS, 2017). Units are kilograms. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents estimated loads of nitrogen and phosphorous from fertilizer and manure applied on agricultural land for the year 2012 compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for estimated loads of nitrogen and phosphorous from fertilizer for 2012 was produced by Brakebill and others, (USGS, 2017) and the source data for estimated loads of nitrogen and phosphorous from manure for 2012 was produced by Gronberg and others, (USGS, 2017). Units are kilograms. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).