Polycyclic aromatic hydrocarbon in fine particulate matter emitted from burning kerosene, liquid petroleum gas, and wood fuels in household cookstoves
공공데이터포털
This dataset includes all data in figures in the manuscript and supporting information for the publication entitled "Particulate polycyclic aromatic hydrocarbon emissions from burning kerosene, liquid petroleum gas, and wood fuels in household cookstoves.". This dataset is associated with the following publication: Shen, G., W. Preston, S. Ebersviller, C. Williams, J. Faircloth, J. Jetter, and M. Hays. Particulate polycyclic aromatic hydrocarbon emissions from burning kerosene, liquid petroleum gas, and wood fuels in household cookstoves. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 31(3): 3081-3090, (2017).
Carbonaceous particulate matter emitted from a pellet-fired biomass boiler
공공데이터포털
This data examines the chemical composition of particulate matter (PM) emitted from outdoor pellet boilers. Pellet boilers are often used in homes to generate hot water or heat. The emissions of these boilers are compared with other hot water and heating technologies. Carbon composition of the emissions is the main focus. This dataset is associated with the following publication: Hays, M., J. Kinsey, I. George, W. Preston, C. Singer, and B. Patel. Carbonaceous particle matter emitted from a pellet-fired biomass boiler. ATMOSPHERE. MDPI AG, Basel, SWITZERLAND, 536, (2019).
Carbonaceous particulate matter emitted from a pellet-fired biomass boiler
공공데이터포털
This data examines the chemical composition of particulate matter (PM) emitted from outdoor pellet boilers. Pellet boilers are often used in homes to generate hot water or heat. The emissions of these boilers are compared with other hot water and heating technologies. Carbon composition of the emissions is the main focus. This dataset is associated with the following publication: Hays, M., J. Kinsey, I. George, W. Preston, C. Singer, and B. Patel. Carbonaceous particle matter emitted from a pellet-fired biomass boiler. ATMOSPHERE. MDPI AG, Basel, SWITZERLAND, 536, (2019).
Data set for Light absorption of organic carbon emitted from burning wood, charcoal, and kerosene in household cookstoves
공공데이터포털
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).
Data set for Light absorption of organic carbon emitted from burning wood, charcoal, and kerosene in household cookstoves
공공데이터포털
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).
Data used in Figures 1-3 and Table 2
공공데이터포털
Data used to generate Figures 1-3 and Table 2 in the journal article entitled "Evaluating the Laboratory Performance of Pellet-Fueled Semigasifier Cookstoves" https://doi.org/10.1021/acs.est.4c10008 Figure 1. Box and whisker plots (with jittered points by ISO test phase) of emission factors based on energy delivered (EFd) for particle pollutants (a) fine particulate matter (PM2.5), (b) ultrafine particles (UFP), (c) organic carbon (OC), and (d) elemental carbon (EC). Figure 2. Box and whisker plots (with jittered points by the ISO test phase) of emission factors based on energy delivered (EFd) for gaseous pollutants: (a) carbon monoxide (CO), (b) total hydrocarbons (THC), (c) methane (CH4), and (d) nitrogen oxides (NOx). Figure 3. Emission factors (based on energy delivered) of fine particulate matter (PM2.5) and carbon monoxide (CO) plotted against ISO Tiers for distinct test phases (i.e., power levels) and overall (i.e., mean of phase-averaged) results for all three stoves (a−c). Error bars represent the 90% confidence intervals in the mean. Mean values are also plotted from the literature (d) for lab (L), test kitchen (K), and field (F) studies, as summarized in Tables S16 and S17. Table 1. Summary of Power Level Mean (i.e., Mean of All Stove/Fuel Combinations at a Given Power Level) and Standard Deviations (SD, Here Defined as Standard Deviations of All Stove/Fuel Combination Means at a Given Power Level) of Emission Factors Based on Energy Delivered (EFd) for All Pollutants Excluding Carbon Dioxide (CO2). This dataset is associated with the following publication: Champion, W., G. Shen, C. Williams, L. Virtaranta, M. Barnes, C. Christianson, M. Hays, and J. Jetter. Evaluating the Laboratory Performance of Pellet-fueled Semi-gasifier Cookstoves. ACS ES&T Air. American Chemical Society, Washington, DC, USA, 59(4): 0, (2025).
Characterization of Emissions from Liquid Fuel and Propane Open Burns
공공데이터포털
emission factor data. This dataset is associated with the following publication: Aurell, J., D. Hubble, B. Gullett, A. Holder, E. Washburn, and D. Tabor. Characterization of Emissions from Liquid Fuel and Propane Open Burns. Fire Technology. Springer International Publishing AG, Cham (ZG), SWITZERLAND, 53(6): 2023-2038, (2017).
Characterization of Emissions from Liquid Fuel and Propane Open Burns
공공데이터포털
emission factor data. This dataset is associated with the following publication: Aurell, J., D. Hubble, B. Gullett, A. Holder, E. Washburn, and D. Tabor. Characterization of Emissions from Liquid Fuel and Propane Open Burns. Fire Technology. Springer International Publishing AG, Cham (ZG), SWITZERLAND, 53(6): 2023-2038, (2017).
Evaluation of polycyclic aromatic hydrocarbons in fine particulate matter censoring-related bias.csv
공공데이터포털
The case study data are selected from an EPA study using cookstove combustion experiments to measure polycyclic aromatic hydrocarbon (PAH) concentrations in particulate matter (PM) and were determined using gas chromatography-mass spectrometry (GC-MS) (Shen et al. 2017). Chromatograms of particle emissions reported in Shen et al. (2017) were reanalyzed for the case study to quantify previously censored measurements where the signal-to-noise ratio was >1. This dataset is associated with the following publication: George, B., L. Gains-Germain, K. Broms, K. Black, M. Furman, M. Hays, K. Thomas, and J.E. Simmons. Censoring Trace-Level Environmental Data: Statistical Analysis Considerations to Limit Bias. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(6): 3786-3795, (2021).