This dataset include US Forest Service (contact Dr. Stephen Sebestyen at USFS) long-term precipitation, atmospheric deposition, and hydrologic data for the years 2010-2013. The dataset also includes unique (never before collected) data on ammonification, denitrification, microbial enzyme activity, and nitrification. These data will be useful for long-term trend analyses and for further investigations on carbon and nitrogen cycling in peatlands. This dataset is associated with the following publication: Hill , B., T. Jicha , L. Lehto, C. Elonen , S. Sebestyen , and R. Kolka. Comparisons of soil nitrogen mass balances for an ombrotrophic bog and a minerotrophic fen in northern Minnesota. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 550: 880-892, (2016).

,The site is located on the USDA-ARS's Reynolds Creek Experimental Watershed. It is dominated by Wyoming big sagebrush on land managed by USDI Bureau of Land Management.,

This data are composed of precipitation, wetland water depth, volumetric soil moisture, nitrogen and carbon concentrations measured into and out of a wetland, and model computed soil moisture content as well as nitrogen and carbon loading from the wetland. The wetland is a restored treatment wetland, located in Kent Island, MD. This dataset is associated with the following publication: Sharifi, A., M. Hantush, and L. Kalin. Modeling Nitrogen and Carbon Dynamics in Wetland Soils and Water Using Mechanistic Wetland Model. Rao S. Govindaraju Journal of Hydrologic Engineering. American Society of Civil Engineers (ASCE), Reston, VA, USA, 22(1): 1-18, (2017).

This data are composed of precipitation, wetland water depth, volumetric soil moisture, nitrogen and carbon concentrations measured into and out of a wetland, and model computed soil moisture content as well as nitrogen and carbon loading from the wetland. The wetland is a restored treatment wetland, located in Kent Island, MD. This dataset is associated with the following publication: Sharifi, A., M. Hantush, and L. Kalin. Modeling Nitrogen and Carbon Dynamics in Wetland Soils and Water Using Mechanistic Wetland Model. Rao S. Govindaraju Journal of Hydrologic Engineering. American Society of Civil Engineers (ASCE), Reston, VA, USA, 22(1): 1-18, (2017).

USGS generated Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed, 1950-2050. This dataset is associated with the following publication: Burns, D., G. Bhatt, L. Linker, J. Bash, P. Capel, and G. Shenk. Atmospheric Nitrogen Deposition in the Chesapeake Bay Watershed: A History of Change. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 251(15): 118277, (2021).

USGS generated Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed, 1950-2050. This dataset is associated with the following publication: Burns, D., G. Bhatt, L. Linker, J. Bash, P. Capel, and G. Shenk. Atmospheric Nitrogen Deposition in the Chesapeake Bay Watershed: A History of Change. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 251(15): 118277, (2021).

This simulated ecosystem carbon dataset is used to report terrestrial carbon balance of the Nisqually River basin in the Ecological Modelling paper "Modeling watershed carbon dynamics as affected by land cover change and soil erosion" The data is derived from simulations of the LUCAS model. Annual carbon variables of 2017 at 30m spatial resolution with 2426 rows and 2459 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in tif format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to generate annual carbon parameters of typical ecosystems. 2. The USPED model was used to generate annual soil erosion and deposition maps as affected by land cover change. 3. The LUCAS model was used to run simulations using outputs of USPED, pIBIS, and LCMAP data; 4. Model outputs were summarized as annual numbers, spatial data were saved in GeoTiff format; Variable List: aynpptot – net primary productivity of 2017 (flog_127.it1.ts2017_aynpptot.tif, 0.02-1.13 kgC/m2/yr); cbiotot - total biomass carbon of 2017 (stkg_101.it1.ts2017_cbiotot.tif, 0.0-22.72 kgC/m2); totcsoi – total soil carbon of 2017 (stkg_106.it1.ts2017_totcsoi.tif, 2.48-99.43 kgC/m2); ED – total ecosystem soil carbon erosion and deposition of 2017 (stkg_103.it1.ts2017_ED.tif, -1.20-1.20 kgC/m2/yr).

This simulated ecosystem carbon dataset is used to report terrestrial carbon balance of the Nisqually River basin in the Ecological Modelling paper "Modeling watershed carbon dynamics as affected by land cover change and soil erosion" The data is derived from simulations of the LUCAS model. Annual carbon variables of 2017 at 30m spatial resolution with 2426 rows and 2459 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in tif format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to generate annual carbon parameters of typical ecosystems. 2. The USPED model was used to generate annual soil erosion and deposition maps as affected by land cover change. 3. The LUCAS model was used to run simulations using outputs of USPED, pIBIS, and LCMAP data; 4. Model outputs were summarized as annual numbers, spatial data were saved in GeoTiff format; Variable List: aynpptot – net primary productivity of 2017 (flog_127.it1.ts2017_aynpptot.tif, 0.02-1.13 kgC/m2/yr); cbiotot - total biomass carbon of 2017 (stkg_101.it1.ts2017_cbiotot.tif, 0.0-22.72 kgC/m2); totcsoi – total soil carbon of 2017 (stkg_106.it1.ts2017_totcsoi.tif, 2.48-99.43 kgC/m2); ED – total ecosystem soil carbon erosion and deposition of 2017 (stkg_103.it1.ts2017_ED.tif, -1.20-1.20 kgC/m2/yr).