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.

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Data on annual emissions of Carbon Dioxide (CO2), Sulfur Dioxide (SO2), and Nitrogen Oxides (NOx). Data organized by type of electric power producer, by energy source, and by U.S. state. Annual time series extend back to 1990. Based on Form EIA-861 data. Electric Power Producer: Commercial Cogen, Commercial Non-Cogen, Electric Utility, Industrial Cogen, Industrial Non-Cogen, IPP NAICS-22 Cogen, IPP NAICS-22 Non-Cogen, and Total Electric Power Industry Energy Source: Coal, Geothermal, Natural Gas, Other, Other Biomass, Other Gases, Wood and Wood Derived Fuels, Petroleum, and All Energy Sources

This asset provides data on regional air quality, including trace level SO2, nitric acid, ozone, carbon monoxide, and NOy; and particulate sulfate, nitrate, and ammonium from 1989 to present. Precipitation and meteorology are provided from 1989 to 2011.

Data underlying the figures included in the manuscript "Marginal abatement cost curve for NOx incorporating controls, renewable electricity, energy efficiency and fuel switching". Data include national and regional Marginal Abatement Cost Curves. This dataset is associated with the following publication: Loughlin, D., A. Macpherson, K. Kaufman, and B. Keaveny. Marginal abatement cost curve for NOx incorporating controls, renewable electricity, energy efficiency and fuel switching. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 67(10): 1115-1125, (2017).

Concentrations of 11 species are reported from continuous measurements taken during a wintertime field study in Utah. Time series data for measured species generally displayed strong diurnal patterns. Six species show a diurnal pattern of daytime maximums (NO, NOy, O3, H2O2, CH2O2, and Cl2), while five species show a diurnal pattern of night time maximums (NO2, HONO, ClNO2, HNO3, and N2O5). Vector autoregression analyses were completed to better understand important species influencing the formation of O3 and NOx. For the species studied, r2 values of predicted versus measured concentrations ranged from 0.82–0.99. Fitting parameters for the autoregressive matrix, Pi, indicated the importance of species precursors. In addition, values of fitting parameters for Pi were relatively insensitive to data size, with variations generally <10%. Variable causation was quantified using the Granger causation method. Assuming O3 and NOx behave as chemical products, reactants (in order of importance) are as follows: H2O2, N2O5, HONO, and ClNO2. This dataset is associated with the following publication: Olson, D., T. Riedel, R. Long, J. Offenberg, M. Lewandowski, and T. Kleindienst. Time series analysis of wintertime O3 and NOx formation using vector autoregressions. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 218: 116988, (2019).