This dataset is a compilation of optical properties of the organic fraction of particulate matter emitted from prescribed burning and from gasoline vehicles. This dataset is associated with the following publication: Xie, M., M. Hays, and A. Holder. Light absorbing organic carbon from prescribed and laboratory biomass burning and gasoline vehicle emissions. Scientific Reports. Nature Publishing Group, London, UK, online, (2017).

Optical properties of light absorbing organic aerosol emitted from cookstoves operating with different fuels. This dataset is associated with the following publication: Mingjie, X., S. Guofeng, A. Holder, M. Hays, and J. Jetter. Light absorption of organic carbon emitted from burning wood, charcoal and kerosene in household cookstoves (R2). ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 240: 60-67, (2018).

Optical properties of light absorbing organic aerosol emitted from cookstoves operating with different fuels. This dataset is associated with the following publication: Mingjie, X., S. Guofeng, A. Holder, M. Hays, and J. Jetter. Light absorption of organic carbon emitted from burning wood, charcoal and kerosene in household cookstoves (R2). ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 240: 60-67, (2018).

This dataset provides all data used to generate the figures and tables in the article entitled "Particulate matter and black carbon optical properties and emission factors from prescribed fires in the southeastern United States" published in the Journal of Geophysical Research: Atmospheres. This dataset is associated with the following publication: Holder , A., G. Hagler , J. Aurell, M. Hays , and B. Gullett. Particulate matter and black carbon optical properties and emission factors from prescribed fires in the southeastern United States. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 121(7): 3465-3483, (2016).

This dataset provides all data used to generate the figures and tables in the article entitled "Particulate matter and black carbon optical properties and emission factors from prescribed fires in the southeastern United States" published in the Journal of Geophysical Research: Atmospheres. This dataset is associated with the following publication: Holder , A., G. Hagler , J. Aurell, M. Hays , and B. Gullett. Particulate matter and black carbon optical properties and emission factors from prescribed fires in the southeastern United States. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 121(7): 3465-3483, (2016).

This is the data used to generate the figures published in the journal article titled, "Light Absorption of Secondary Organic Aerosol: Composition and Contribution of Nitro-aromatic Compounds". This dataset is associated with the following publication: Xie, M., X. Chen, M. Hays, M. Lewandowski, J. Offenberg, T. Kleindienst, and A. Holder. Light absorption of secondary organic aerosol: Composition and contribution of nitro-aromatic compounds. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(20): 11607-11616, (2017).

This is the data used to generate the figures published in the journal article titled, "Light Absorption of Secondary Organic Aerosol: Composition and Contribution of Nitro-aromatic Compounds". This dataset is associated with the following publication: Xie, M., X. Chen, M. Hays, M. Lewandowski, J. Offenberg, T. Kleindienst, and A. Holder. Light absorption of secondary organic aerosol: Composition and contribution of nitro-aromatic compounds. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(20): 11607-11616, (2017).

This dataset contains measurements of organic carbon, elemental carbon, and total carbon in atmospheric particulate matter with the thermal-optical carbon analyzer. The data are associated with the following publication: C.D. Grimes, J.M. Conny, R.R. Dickerson, 2020, "Evaluation of Thermal-Optical Analysis Using an Aqueous Binary Mixture," Atmospheric Environment, in press. Below is the abstract for the publication. Thermal-Optical Analysis (TOA), a commonly implemented technique used to measure the amount of particulate carbon in the atmosphere or deposited on a filter substrate, distinguishes organic carbon (OC) from elemental carbon (EC) through the monitoring of laser light, heating, and measuring evolved carbon. Here, we present a method to characterize the TOA transmission method with an aqueous binary mixture containing EC and OC that can easily be deposited onto a filter at low volumes. Known amounts of EC and OC were deposited onto a quartz-fiber filter and analyzed with different temperature protocols. Results with the NIST-EPA-C temperature protocol agreed with the reference values to better than 2 % for EC, OC, total carbon (TC), and EC/TC. Uncertainty in TC among all temperature protocols was less than 5 % of the reference value while all protocols had EC/TC ratios with an uncertainty less than 10 %.

This dataset contains measurements of organic carbon, elemental carbon, and total carbon in atmospheric particulate matter with the thermal-optical carbon analyzer. The data are associated with the following publication: C.D. Grimes, J.M. Conny, R.R. Dickerson, 2020, "Evaluation of Thermal-Optical Analysis Using an Aqueous Binary Mixture," Atmospheric Environment, in press. Below is the abstract for the publication. Thermal-Optical Analysis (TOA), a commonly implemented technique used to measure the amount of particulate carbon in the atmosphere or deposited on a filter substrate, distinguishes organic carbon (OC) from elemental carbon (EC) through the monitoring of laser light, heating, and measuring evolved carbon. Here, we present a method to characterize the TOA transmission method with an aqueous binary mixture containing EC and OC that can easily be deposited onto a filter at low volumes. Known amounts of EC and OC were deposited onto a quartz-fiber filter and analyzed with different temperature protocols. Results with the NIST-EPA-C temperature protocol agreed with the reference values to better than 2 % for EC, OC, total carbon (TC), and EC/TC. Uncertainty in TC among all temperature protocols was less than 5 % of the reference value while all protocols had EC/TC ratios with an uncertainty less than 10 %.

Dataset containing the composition and structural description of nitroaromatic compounds from biomass burning emissions. This dataset is associated with the following publication: Xie, M., X. Chen, M. Hays, and A. Holder. Composition and light absorption of N-containing aromatic compounds in organic aerosols from laboratory biomass burning. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 19(5): 2899-2915, (2018).