These data files associated with the Tables and Figures presented in the following manuscript: Zhang, Y., Mathur, R., Bash, J. O., Hogrefe, C., Xing, J., and Roselle, S. J.: Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010, Atmos. Chem. Phys., 18, 9091-9106, https://doi.org/10.5194/acp-18-9091-2018, 2018. This dataset is associated with the following publication: Zhang, Y., R. Mathur, J. Bash, C. Hogrefe, J. Xing, and S. Roselle. Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 9091-9106, (2018).

This dataset provides all known and relevant isotopic source signatures (d15N) of NOx and NH3 sources through the fall of 2018. It includes relevant sources contributing to nitrogen deposition (e.g., mobile source NOx, ammonia emissions from agriculture, etc.). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

This file provides all the data that was used to estimate the physical input outputs for the State of Illinois. The attached paper describes how the data was collected and provides all the metadata. This dataset is associated with the following publication: Singh, S., J. Compton, T. Hawkins, D. Sobota, and E. Cooter. A Nitrogen Physical Input-Output Table (PIOT) Model for Illinois. ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam, NETHERLANDS, 360: 194-203, (2017).

The effectiveness of nitrogen fertilizer in maximizing agricultural production and increasing economic returns for farmers has led to its widespread use. However, when this element is applied to a farming system, it can enter the surrounding environment via atmospheric, surface and leaching pathways. Consultants, extension agents, farmers, and other stakeholders need tools than can be used to quickly calculate the risk of nitrogen movement into the environment. The Nitrogen Index can assist users in making these assessments by integrating data on a series of management practices, weather conditions, soil characteristics and off-site factors. This tool has been tested using data from different agroecosystems across the United States, China, Mexico, Argentina, a Mediterranean region in Spain, and the Caribbean. It has performed well in comparing the effects of different management practices on nitrogen losses by distinguishing practices with high and very high risk levels from practices with medium, low and very low risk levels.

This data publication contains the results of chemical and mineral analyses on masticated particles from mixed-conifer forests in 15 study locations. These data were collected from 2012 through 2016 as part of the MASTIDON project. The MASTIDON project was a four-year research project to study how masticated material differs when treated with different cutting machines and how the masticated particles decompose when left on the ground for multiple years. It investigated masticated materials in four states of the western United States. The project was funded by the Joint Fire Sciences Program (JFSP) and RMRS between 2013 and 2016. The masticated particles within this project had been decomposing in situ in wet and dry areas of Idaho, Colorado, New Mexico, and South Dakota since their initial treatment. Particles were tested from four shapes (circular, three-sided, four-sided, and small wood chips) and three size classes. Each shape and size class was ground, dried, and analyzed for percent carbon and nitrogen, cellulose and lignin, heat content, and mineral content (from the duff component) using three pieces of equipment. This data publication includes the results of each of these tests and files describing the MASTIDON project and its goals.

This data includes gridded estimates of: (1) decadally averaged total N and S deposition for the conterminous US from 1800-2025, (2) critical loads from the National Critical Loads Database, and (3) exceedances of critical loads from atmospheric deposition of N and/or S. This dataset is associated with the following publication: Clark, C., J. Phelan, P. Doraiswamy, J. Buckley, J. Cajka, R. Dennis , J. Lynch, C. Nolte, and T. Spero. Atmospheric Deposition and Exceedances of Critical Loads from 1800-2025 for the Coterminous United States. BULLETIN OF THE ECOLOGICAL SOCIETY OF AMERICA. Ecological Society of America, Ithaca, NY, USA, 978-1002, (2018).

EPA no longer updates this information, but it may be useful as a reference or resource. Welcome to the STORET Legacy Data Center, site of the world's largest repository of ambient Water Quality Data. From this site you will be able to access a database that holds over 200 million water sample observations from about 700,000 sampling sites for both surface and ground water.This web site allows both scientists and the general public to access the historical data from the legacy STORET system. First-time users should narrow their search based on the options from the Query page, while experienced users may jump to the no-frills Advanced Query form for requesting data. Legacy STORET contains data of undocumented quality. Further, the data in this system is static, and all new data are being entered into Modernized STORET. Background information about the Office of Water and the history of STORET may be found by following the Purpose link. For more information on the layout of this site, please follow the Site Map link. Internet Archive URL: https://web.archive.org/web/*/https://www3.epa.gov/storet/legacy/gateway.htm

The FAOSTAT domain Drained organic soils consists of nitrous oxide (N2O) and carbon dioxide (CO2) emissions associated with the mineralization and oxidation of the organic matter in organic soils that are drained for agriculture (cropland and grassland). Data are computed geospatially, using the Tier 1 method of the IPCC Guidelines for National greenhouse gas Inventories (IPCC, 2006; 2014) and using the distribution of histosols as a proxy for organic soils. Estimates are available by country and with global coverage, in complete time series for the period 1990–2020. The database is updated annually.The FAOSTAT domain Organic soils disseminates information by country on: activity data (in hectares of organic soils drained for agriculture); and greenhouse gas (GHG) emissions (in kilotonnes of N2O and CO2). Drainage and associated emissions are assessed separately for IPCC land use categories cropland and grassland, corresponding to FAO land use categories ‘’cropland’’ and ‘’permanent meadows and pastures.’’ Data are available for all countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups.This FAOSTAT domain also disseminates the activity data and emissions data reported by countries to the United Nations Framework Convention on Climate Change (UNFCCC), under ‘Cultivation of organic soils’ for the N2O component and categories ‘Cropland drained organic soils’ and ‘Grassland drained organic soils’ for the CO2. Activity data are sourced from the most recently available GHG National Inventories (NGHGI) or from National Communications. Emission data are sourced directly from the UNFCCC data portal or from Biennial Update Reports (BURs). UNFCCC data are disseminated in FAOSTAT with permission, formalized via a FAO-UNFCCC Memorandum of Understanding.

This data provides estimates of CH4, N2O, and CO2 emissions from biomass burning and fires in organic soils. Data are available by country for 1990–2022, using the 2006 IPCC Guidelines and the Supplement on Wetlands. It includes activity data (burned area and biomass) and GHG emissions. Emissions from fires in organic soils have high uncertainties and should be used cautiously. The domain also includes data reported to the UNFCCC. The IPCC recommends using the FAOSTAT database for national greenhouse gas inventory validation.Note: Unit 'kt' 

This dataset was used to create graphics associated with manuscript: Garcia et al., Examining the impacts of increased corn production on groundwater quality using a coupled modeling system, 2017, Science of the Total Environment. This dataset is associated with the following publication: Garcia, V., E. Cooter, J. Crooks, B. Hinckley, M. Murphy, and X. Xing. Examining the impacts of increased corn production on groundwater quality using a coupled modeling system. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 586: 16-24, (2017).

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

Hydraulic studies of drilling micropores at various depths and with various hole sizes, tubing, fluids and rates to show theoretical feasibility. WELLFLO Simulations Report separated into three parts: Step 4: Drilling 10,000 ft Wells with Supercritical Steam, Nitrogen, and Carbon Dioxide Step 5: Drilling 20,000 ft Wells with Supercritical Steam, Nitrogen, and Carbon Dioxide Step 6: Drilling 30,000 ft Wells with Supercritical Steam, Nitrogen, and Carbon Dioxide

DNA barcoding gene sequences and files associated with their analysis

These data describe the chromatography characteristics of the MARGA instrument software as compared to an alternative, independent technique for chromatogram processing, including an assessment of accuracy, precision and method detection limit. This dataset is associated with the following publication: Chen, X., J. Walker, and C. Geron. Chromatography related performance of the Monitor for Aerosols and Gases in Ambient Air (MARGA): laboratory and field based evaluation. Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau, GERMANY, 10(3893): 3908, (2017).

Nutrient recycling is fundamental to sustainable agricultural systems, but few mechanisms exist to ensure that surplus manure nutrients from animal feeding operations are transported for use on nutrient-deficient croplands. As a result, manure nutrients concentrate in locations where they can threaten environmental health and devalue manure as a fertilizer resource. This data set is from a study advances the concept of the “manureshed” – the lands surrounding animal feeding operations onto which manure nutrients can be redistributed to meet environmental, production, and economic goals. Manuresheds can be managed at multiple scales, for example, on farms with both animals and crops, among animal farms and crop farms within a county, or even among animal farms and crop farms in distant counties. With a focus on redistribution among counties, we classified the 3109 counties of the contiguous United States by their capacity to either supply manure phosphorus (P) and nitrogen (N) from confined livestock production (“sources”) or to assimilate and remove excess P and N via crops (“sinks”) [see data for N tonnes, P tonnes, N kg/ha, P kg/ha]. Manure nutrient source counties were identified in 40 of the 48 states, with a substantial concentration in the southern US. Source counties for manure P greatly outnumbered source counties for manure N (390 vs. 100), and 99 of the 100 manure N source counties were also source counties for manure P. Conversely, sink counties for manure N outnumbered sink counties for manure P (2766 vs. 2317). We used the P balances of the source and sink counties to delineate four manuresheds dominated by various combinations of confined hog, poultry, dairy, and beef industries [see data for Manuresheds (tonnes)]. The four manuresheds differed in the transport distances needed to assimilate excess manure P from their respective source areas (from 147 ± 51 km for a beef dominated manureshed to 368 ± 140 km for a poultry dominated manureshed), highlighting the need for systems-level strategies to promote manure nutrient recycling that operate across local, county, regional, and national scales.

The MANAGE (Measured Annual Nutrient loads from AGricultural Environments) database was developed to be a readily-accessible, easily-queried database of site characteristic and field-scale nutrient export data (Harmel et al., 2006). Initial funding for MANAGE was provided by USDA-ARS to support the USDA Conservation Effects Assessment Project (CEAP) and the Texas State Soil and Water Conservation Board as part of their mission to understand and mitigate agricultural impacts on water quality. The original version of MANAGE, which drew heavily from an early 1980’s compilation of nutrient export data (Reckhow et al., 1980; Beaulac, 1980; Beaulac and Reckhow, 1982), created an electronic database with nutrient load data and corresponding site characteristics from 40 studies on agricultural (cultivated and pasture/range) land uses. The first revision in 2008 added N and P load data from 15 additional studies along with N and P runoff concentration data for all 55 studies (Harmel et al., 2008). The second revision in 2016 added 30 runoff studies from forested land uses, 91 drainage water quality studies from drained land, and 12 additional runoff studies from cultivated and pasture/range (Christianson and Harmel, 2015; Harmel et al., 2016). In this expansion, fertilizer application timing, crop yield, and N and P uptake data were added to facilitate analysis of 4R Nutrient Stewardship. The latest revision (Harmel et al., 2022) added 27 studies and Level II ecoregion delineations for each of the 94 studies such that data are now available from 11 of the 50 North American Level II ecoregions, representing the major U.S. agricultural regions. With these updates, MANAGE contains data from a vast majority of published peer-reviewed N and P export studies on homogeneous cultivated, pasture/range, and forested land uses in the US under natural rainfall-runoff conditions, as well as artificially drained agricultural land. Thus MANAGE facilitates expanded spatial analyses and improved understanding of regional differences, management practice effectiveness, and impacts of land use conversions and management techniques, and it provides valuable data for modeling and decision-making related to agricultural runoff. The Manage Database v5 04-04-2018 zip file resource superseded the previously available v4 and was added to this record on May 30, 2018. Resource MANAGE Database v6 added Nov 17, 2022.

NVND Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Sidney, Montana Management practices, such as irrigation, tillage, cropping system, and N fertilization, may influence soil greenhouse gas (GHG) emissions. We quantified the effects of irrigation, tillage, crop rotation, and N fertilization on soil CO2, N2O, and CH4 emissions from March to November, 2008 to 2011 in a Lihen sandy loam in western North Dakota. Treatments were two irrigation practices (irrigated and non-irrigated) and five cropping systems (conventional-tilled malt barley [Hordeum vulgaris L.] with N fertilizer [CTBFN], conventional-tilled malt barley with no N fertilizer [CTBON], no-tilled malt barley-pea [Pisum sativum L.] with N fertilizer [NTB-PN], no-tilled malt barley with N fertilizer [NTBFN], and no-tilled malt barley with no N fertilizer [NTBON]). The GHG fluxes varied with date of sampling while peaking immediately after precipitation, irrigation, and/or N fertilization events during increased soil temperature. Both CO2 and N2O fluxes were greater in CTBFN under the irrigated condition but CH4 uptake was greater in NTB-PN under the non-irrigated condition than in other treatments. While tillage and N fertilization increased CO2 and N2O fluxes by 8 to 30%, N fertilization and monocropping reduced CH4 uptake by 39 to 40%. The NTB-PN, regardless of irrigation, might mitigate GHG emissions by reducing CO2 and N2O emissions and increasing CH4 uptake relative to other treatments. To account for global warming potential for such a practice, information on productions associated with CO2 emissions along with N2O and CH4 fluxes are needed.

Data are from 1,000 river and stream sites across the conterminous US where consistent biological, chemical, physical and watershed data were gathered. The sites were selected using a probability survey design so that the results provide inferences to all perennial flowing waters in the lower 48 states. This dataset is associated with the following publication: Omernik, J., S. Paulsen , M. Weber , and G. Griffith. Regional patterns of total nitrogen concentrations in the National Rivers and Streams Assessment. JOURNAL OF SOIL AND WATER CONSERVATION. Soil and Water Conservation Society, 71(3): 167-181, (2016).

This study presents a novel concept for estimating net ecosystem production (NEP), the export of organic carbon (OC) from the productive surface layer to the deep-water (hypolimnion) of eleven seasonally stratified lakes, varying in depth and trophic state. As oxygen remineralizes settling OC at a constant ratio, NEP is equivalent to the areal hypolimnetic mineralization rate (AHM) plus burial in the sediment (net sedimentation, NS). Two major interferences have to be considered, however. First, OC from terrestrial sources, not originating from primary production, consumes a fraction of oxidants. Second, sediment diagenetic processes of lakes in trophic transition (e.g. undergoing eutrophication or reoligotrophication) that are not in quasi-steady-state with actual fluxes of OC in the productive surface layer, bias the estimation of NEP. In these cases, we suggest subtracting the flux of reduced substances diffusing from the sediment. This results in some overestimation for lakes with high allochthonous loads, and slight underestimation in lakes that are not in quasi-steady-state, because the fraction of the actual sediment burial of autochthonous OC is small but not negligible. The presented approach requires data from routinely available chemical monitoring and thus can be applied to historic data. The seasonal time integration makes the estimation of NEP quite robust. Exemplary, NEP of Lake Geneva was estimated from the export of P and N from the productive zone during the summer season to the hypolimnion assembling seasonal budgets. Based on a historic data record of 47 years, NEP estimations from AHM rates agreed well with P and N budgets and helped to verify and constrain the uncertainty of the estimates.

Average concentrations in 2014 for Nitrogen (mg/l N03) in samples from monitoring locations on the Irish Environmental Protection Agency Water Framework Directive (WFD) Groundwater Monitoring Network.

Nitrogen Source Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Mandan, North Dakota Use of dietary amendments to reduce nitrogen (N) in excreta represents a possible strategy to decrease greenhouse gas (GHG) emissions from livestock. In this regard, ingestion of small amounts of condensed quebracho tannin has been found to reduce N concentration in livestock urine. In this study, we sought to quantify the effects of tannin-affected cattle urine, normal cattle urine, and NH4NO3 in solution on greenhouse gas flux. Carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) flux was measured using static chamber methodology from the three N treatments and a no application control over a six-week period in a mixed grass prairie in west-central North Dakota, USA. Over the course of the study, average CO2 emission was greatest from normal urine (335 ± 8 mg C m-2 hr-1) and least from the control (229 ± 19 mg C m-2 hr-1), with intermediate fluxes for the tannin urine and NH4NO3 treatments (290 ± 27 and 286 ± 54 mg C m-2 hr-1, respectively). Methane uptake was prevalent throughout the study, as soil conditions were predominantly warm and dry. Uptake of CH4 was greatest within the control (-30 ± 2 µg C m-2 hr-1) and least in the tannin urine treatment (-12 ± 4 µg C m-2 hr-1). Uptake of CH4 was over 40% less within the tannin urine treatment as compared to normal urine, and may have been repressed by the capacity of tannin to bind monooxygenases responsible for CH4 oxidation. Average N2O emission from NH4NO3 solution was more than twice that of all other treatments. Though the tannin urine treatment possessed 34% less N than normal cattle urine, cumulative N2O emission between the treatments did not differ. Results from this study suggest the use of condensed quebracho tannin as a dietary amendment for livestock does not yield GHG mitigation benefits in the short-term.

Organic Amendment Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network and Nutrient Use and Outcome Network in Fort Collins, Colorado Dairy manure is commonly used in place of inorganic N fertilizers but the impacts on trace gas flux, yields and soil N are not well understood in the semiarid western US. CO2, N2O, and CH4 were monitored using surface chamnbers from 5 N treatments to determine their effect on greenhouse gas emissions from a tilled clay loam soil under irrigated, continuous corn production for a 3 yr. time period. Treatments included (i) partially composed dairy manure (DM) (412 kg N ha -1), (ii) DM + AgrotainPlus (DM + AP), (iii) enhanced efficiency N fertilizer (SuperU, or SUPRU) (179 kg N ha-1), (iv) Urea (179 kg N ha-1), and (v) check. These results highlight the importance of best-managemnet practices such as immediate irrigation after N application and use of urease and nitrification inhibitors to minimize N losses.

From 2010 to 2015, box core grabs were collected at permanent stations around the Pacific Marine Energy Center - North Energy Test Site (PMEC-NETS) off Newport, Oregon. At each box core station a conductivity, temperature, depth (CTD) cast was conducted. These data include the CTD from the bottom of the cast, sediment grain size analysis, total organic carbon and nitrogen analysis (for the first 3 years only) and macrofaunal organism abundances as retained on a 1 mm mesh sieve. From 2012 to 2015, additional box core grabs were collected around two of the anchors deployed at PMEC-NETS to assess potential changes to sediment conditions and/or organism abundances. From 2013 to 2015, box core samples also were collected in and around the South Energy Test Site (PMEC-SETS). The CTD, grain size, and organism abundances are included. Additionally from 2010 to 2015 beam trawls were conducted at 9 stations (a subset of the box core stations) around PMEC-NETS and CTD casts were conducted before the start of each trawl. Again the CTD data from the bottom of the cast are included. Organism data are fish densities based on the estimated number of meters covered by the trawl. No trawls were conducted at PMEC-SETS.

This file contains land cover and water chemistry data. This dataset is associated with the following publication: Smucker, N.J., A. Kuhn , M.A. Charpentier, C.J. Cruz-Quinones, C.M. Elonen , S.B. Whorley, T.M. Jicha , J.R. Serbst , B.H. Hill , J.D. Wehr, and J. Lake. Quantifying Urban Watershed Stressor Gradients and Evaluating How Different Land Cover Datasets Affect Stream Management. ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA, 57(3): 683-695, (2016).

The dataset includes names and geographic coordinates of gauge stations where flow and water quality (sediment, nitrogen, phosphorus) are measured in the Upper Mississippi River Watershed, Ohio River Basin, and Maumee River Basins. The data include estimates of risk indices (reliability, resilience, vulnerability) and a composite watershed health measure at gauge the stations, distributional properties of the indices, sensitivity to water quality standards, scale dependency of the indices, and statistical significance of the relationship between composite watershed health measure and land uses (agricultural, forested, and urban). This dataset is associated with the following publication: Ganeshchandra Mallya , G., M. Hantush, and R. Govindaraju. Composite measures of watershed health from a water quality perspective. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 214: 104-124, (2018).

Table summarizes instrument precision assessed by collocating the two sample boxes. Precision is quantified as the standard deviation of the residuals of an orthogonal least squares regression of concentrations from the two sample boxes. This allows for an estimation of gradient precision and ultimately gradient and flux detection limits. This dataset is associated with the following publication: Rumsey, I. Application of an online ion chromatography-based instrument for gradient flux measurements of speciated nitrogen and sulfur. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 9(6): 2581-2592, (2016).

St. Louis River Area of Concern surface water nutrient (TP, TN, NOx-N, NH4-N), dissolved oxygen, and particulate (TSS, chlorophyll a) concentration data from 2012 and 2013 reported in Bellinger et al. 2016, Journal of Great Lakes Research 42:28-38. This dataset is associated with the following publication: Bellinger, B., J. Hoffman , T. Angradi , D. Bolgrien , M. Starry, C. Elonen , T. Jicha , L. Lehto, L. Seifert-Monson, M. Pearson , L. Anderson, and B. Hill. Water quality in the St. Louis River Area of Concern (AOC), Lake Superior: An historical perspective with assessment implications. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(1): 28-38, (2016).

The data set contains stream water concentrations of herbicides and nutrients for 153 sites in the northern Missouri/southern Iowa region from 1994 to 1995. The data are available in Microsoft Excel 2010 format. Sheet 1 (Metadata) of the file contains supporting information regarding the length of record, site locations, parameters measured, concentrations units, method detection limits, describes the meaning of zero and blank cells, defines the major land resource areas (MLRAs) of the region, and provides a link to the U. S. Geological Survey discharge data. Sheet 2 (Site names and locations) has a list of the site names by MLRA, river system, and site name. It also contains site locations, provided as Universal Transverse Mercator coordinates, drainage areas, and indicates which sites were co-located at U. S. Geological Survey gauge sites. Sheet 3 (Concentration Data) contains data for 15 herbicide and nutrient analytes along with the corresponding site name, river system, and MLRA. Atrazine concentrations in Goodwater Creek Experimental Watershed (GCEW) were shown to be among the very highest of any watershed in the United States based on comparisons using the national Watershed Regressions for Pesticides (WARP) model and by direct comparison with the 112 watersheds used in the development of WARP. The herbicide data collected in GCEW are documented at plot, field, and watershed scales. This 20-yr-long (1991-2010) effort was augmented with a spatially broad effort within the Central Mississippi River Basin encompassing 12 related claypan watersheds in the Salt River Basin, two cave streams on the fringe of the Central Claypan Areas in the Bonne Femme watershed, and 95 streams in northern Missouri and southern Iowa. The research effort on herbicide transport has highlighted the importance of restrictive soil layers with smectitic mineralogy to the risk of transport vulnerability. Near-surface soil features, such as claypans and argillic horizons, result in greater herbicide transport than soils with high saturated hydraulic conductivities and low smectitic clay content.

Where agricultural measures are needed to restore water quality, the Subbasin are highlighted with one or more coloured flags to indicate the types of water quality issues associated with that Subbasin: Red (potential point source), Orange (nitrate losses) and/or Navy (phosphorus/sediment losses).

Total deposition maps and the underlying data have been produced using wet deposition measurements from the NADP National Trends Network (NTN) and estimates of dry deposition using a method that combines ambient air monitoring data with output from the Community Multiscale Air Quality (CMAQ) modeling system. This method of estimating dry deposition gives priority to measurement data near the location of the monitor and priority to CMAQ data in areas where monitoring data are not available. Additionally, CMAQ output is used for species such as peroxyacetylnitrate (PAN), dinitrogen pentoxide (N2O5), nitric oxide (NO), nitrogen dioxide (NO2), nitrous acid (HONO) and organic nitrate that are not routinely measured, but likely contribute a significant amount to the total nitrogen budget. The sections below provide details on the monitoring and modeling data and methodology. In the final section, notes and caveats are provided that discuss limitations of the data. Note that this product is dynamic and will be updated as new monitoring and modeling data become available and as improvements to the methodology are implemented. Therefore, it is critical to note the version number associated with the data. The version number consists of a 4-digit year and a 2-digit release number. The data described below is denoted as version 2016.01.

Datasets describing bulk and speciated water soluble organic nitrogen and carbon species in 24 hour high volume PM samples. This dataset is associated with the following publication: Chen, X., X. Mingjie, M. Hays, E. Eric, D. Schwede, and J. Walker. Characterization of organic nitrogen in aerosols at a forest site in the southern Appalachian Mountains May 2018. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, issue}: 6829-6846, (2018).

This dataset contains Water pollution level statistics in 2000. Data from Water FootPrint Network. Follow datasource.kapsarc.org for timely data to advance energy economics research.

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).