This dataset includes physico-chemical characteristics of biomass smoke of five different fuels (red oak, peat, pine needles, pine, and eucalyptus) generated from a tube furnace system at two different combustion phases (smoldering and flaming) and also provides two toxicological outcomes (lung toxicity in mice and mutagenicity in Salmonella) associated with exposures to the biomass smoke PM collected by a cryo-trap system. This dataset is associated with the following publication: Kim, Y.H., S. Warren, T. Krantz, C. King, R. Jaskot, W.T. Preston, B. George, M. Hays, M. Landis, M. Higuchi, D. DeMarini, and I. Gilmour. Mutagenicity and Lung Toxicity of Smoldering Versus Flaming Emissions from Various Biomass Fuels: Implications for Health Effects from Wildland Fires. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 126(1): 1, (2018).

This dataset includes physico-chemical characteristics of biomass smoke of three different fuels (oak, peat, and eucalyptus) generated from a tube furnace system at two different combustion phases (smoldering and flaming) and also provides comparisons of lung toxicity outcomes after inhalation and aspiration exposures to the biomass smoke. This dataset is associated with the following publication: Kim, Y.H., C. King, Q. Krantz, M.M. Hargrove, I. George, J. McGee, L. Copeland, M. Hays, M. Landis, M. Higuchi, S. Gavett, and M. Gilmour. The role of fuel type and combustion phase on the toxicity of biomass smoke following inhalation exposure in mice. Archives of Toxicology. Springer, New York, NY, USA, 93(6): 1501-1513, (2019).

This dataset includes physico-chemical characteristics of biomass smoke of three different fuels (oak, peat, and eucalyptus) generated from a tube furnace system at two different combustion phases (smoldering and flaming) and also provides comparisons of lung toxicity outcomes after inhalation and aspiration exposures to the biomass smoke. This dataset is associated with the following publication: Kim, Y.H., C. King, Q. Krantz, M.M. Hargrove, I. George, J. McGee, L. Copeland, M. Hays, M. Landis, M. Higuchi, S. Gavett, and M. Gilmour. The role of fuel type and combustion phase on the toxicity of biomass smoke following inhalation exposure in mice. Archives of Toxicology. Springer, New York, NY, USA, 93(6): 1501-1513, (2019).

This dataset provides information on how photochemical aging alters the chemical compositions of the smoke depending on burning conditions and increases oxygenated VOC emissions but degrades particle-bound PAHs. Also the findings indicate that PAH degradation is more pronounced in flaming than smoldering smoke particles, suggesting that PAH-induced toxicity of the smoke particles varies depending on photochemical aging and burning conditions. This dataset is associated with the following publication: Kim, Y.H., A. Sinha, I. George, D. DeMarini, A. Grieshop, and M. Gilmour. Toxicity of fresh and aged anthropogenic smoke particles emitted from different burning conditions. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 892: 164778, (2023).

High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports. This dataset is associated with the following publication: Urbanski, S., R. Long, H. Halliday, A. Habel, E. Lincoln, and M. Landis. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0000, (2022).

High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports. This dataset is associated with the following publication: Urbanski, S., R. Long, H. Halliday, A. Habel, E. Lincoln, and M. Landis. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0000, (2022).

The dataset consists of 2 revised files. The excel file shows all of the individual data used in calculation of the tables and figures. Each table and figure has data stored on a separate tab of the file. The zip file consists of 5 GraphPad Prism files which show the statistics and graphs used in the paper. The names of the 5 files indicate which figures and tables are analyzed statistically and the graphs generated from the data. This dataset is associated with the following publication: Hargrove, M., Y.H. Kim, C. King, C. Wood, M. Gilmour, J. Dye, and S. Gavett. Smoldering and Flaming Biomass Wood Smoke Inhibit Respiratory Responses in Mice. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(6): 236-247, (2019).

The dataset consists of 2 revised files. The excel file shows all of the individual data used in calculation of the tables and figures. Each table and figure has data stored on a separate tab of the file. The zip file consists of 5 GraphPad Prism files which show the statistics and graphs used in the paper. The names of the 5 files indicate which figures and tables are analyzed statistically and the graphs generated from the data. This dataset is associated with the following publication: Hargrove, M., Y.H. Kim, C. King, C. Wood, M. Gilmour, J. Dye, and S. Gavett. Smoldering and Flaming Biomass Wood Smoke Inhibit Respiratory Responses in Mice. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(6): 236-247, (2019).

This dataset contains the underlying data for the evaluation of a 5 year CMAQ simulation with and without fires. The pollutant evaluated in the journal article is PM2.5. Daily Average concentrations of PM2.5 from two 5 year CMAQ simulations are included. Area burned on a daily basis is also included. Finally model and observed paired CSV files of PM2.5 are included for the 5 year simulation from the IMPROVE and CSN networks. Datasets are in several formats including netCDF (tar and zipped), csv (tar and zipped), and Excel. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, K. Foley, W. Appel, and T. Pierce. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 27(10): 684-698, (2018).

This dataset contains the underlying data for the evaluation of a 5 year CMAQ simulation with and without fires. The pollutant evaluated in the journal article is PM2.5. Daily Average concentrations of PM2.5 from two 5 year CMAQ simulations are included. Area burned on a daily basis is also included. Finally model and observed paired CSV files of PM2.5 are included for the 5 year simulation from the IMPROVE and CSN networks. Datasets are in several formats including netCDF (tar and zipped), csv (tar and zipped), and Excel. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, K. Foley, W. Appel, and T. Pierce. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 27(10): 684-698, (2018).