The data presented in this data file is a product of a journal publication. The dataset contains OPFR sorption concentrations on building materials and consumer products and comparison to the i-SVOC model predictions. This dataset is associated with the following publication: Liu , X., M. Allen, and N. Roache. Characterization of organophosphorus flame retardants' sorption on building materials and consumer products. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 140: 333-341, (2016).

The data presented in this data file is a product of a journal publication. The dataset contains PCB sorption concentrations to settled dust due to dust/air partition and PCB migration concentration due to dust/source partitioning. This dataset is associated with the following publication: Liu , X., Z. Guo, K. Krebs , D. Greenwell , N. Roache, A. Stinson, J. Nardin, and R. Pope. Laboratory study of PCB transport from primary sources to settled dust. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 169: 62-69, (2016).

The data presented in this data file is a product of a journal publication. The dataset contains measurements of mass transfer, material/air, and surface/air partition coefficients and emission concentrations of OPFRs in chambers and diffusion tubes. It also contains modeling data. This dataset is associated with the following publication: Liang, Y., X. Liu, and M. Allen. Measurements of Parameters Controlling the Emissions of Organophosphate Flame Retardants in Indoor Environments. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 5821-5829, (2018).

The data presented in this data file is a product of a journal publication. The dataset contains measured and model predicted OPFRs gas-phase and surface-phase concentrations in small and micro chambers. This dataset is associated with the following publication: Liang, Y., X. Liu, and M. Allen. Measuring and Modeling Surface Sorption Dynamics of Organophosphate Flame Retardants in Chambers. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 193: 754-762, (2018).

Link to IMPROVE network ambient data used in Figure 2a. This dataset is associated with the following publication: Riva, M., Y. Chen, Y. Zhang, Z. Lei, N.E. Olson, H.C. Boyer, S. Narayan, L.D. Yee, H.S. Green, T. Cui, Z. Zhang, K. Baumann, M. Fort, E. Edgerton, S.H. Budisulistiorini, C.A. Rose, I.O. Ribeiro, R.L. e Oliveira, E.O. dos Santos, C.M.D. Machado, S. Szopa, Y. Zhao, E.G. Alves, S.S. de Sá, W. Hu, E.M. Knipping, S.L. Shaw, S. Duvoisin Junior, R.A.F. de Souza, B.B. Palm, J. Jimenez, M. Glasius, A.H. Goldstein, H. Pye, A. Gold, B.J. Turpin, W. Vizuete, S.T. Martin, J.A. Thornton, C.S. Dutcher, A.P. Ault, and J.D. Surratt. Increasing Isoprene Epoxydiol-to-Inorganic Sulfate Aerosol Ratio Results in Extensive Conversion of Inorganic Sulfate to Organosulfur Forms: Implications for Aerosol Physicochemical Properties. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(15): 8682-8694, (2019).

The TROPESS Chemical Reanalysis Surface Aerosol SO4 2-Hourly 2-dimensional Product contains the surface concentrations of sulfate aerosol particles. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors. The data files are written in the netCDF version 4 file format, and each file contains a year of data at 2-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

The TROPESS Chemical Reanalysis Surface Aerosol SO4 Monthly 3-dimensional Product contains vertical concentrations of sulfate aerosols. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors. The data files are written in the netCDF version 4 file format, and each file contains a year of data at monthly resolution, and a spatial resolution of 1.125 x 1.125 degrees at 27 pressure levels between 1000 and 60 hPa. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

The TROPESS Chemical Reanalysis Surface Aerosol SO4 6-Hourly 3-dimensional Product contains vertical concentrations of sulfate aerosols. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors. The data files are written in the netCDF version 4 file format, and each file contains a year of data at 6-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees at 27 pressure levels between 1000 and 60 hPa. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

This research used data mining approaches to better understand factors affecting the formation of secondary organic aerosol (SOA). Although numerous laboratory and computational studies have been completed on SOA formation, it is still challenging to determine factors that most influence SOA formation. Experimental data were based on previous work described by Offenberg et al. (2017), where volume concentrations of SOA were measured in 139 laboratory experiments involving the oxidation of single hydrocarbons under different operating conditions. Three different data mining methods were used, including nearest neighbor, decision tree, and pattern mining. Both decision tree and pattern mining approaches identified similar chemical and experimental conditions that were important to SOA formation. Among these important factors included the number of methyl groups, the number of rings and the presence of dinitrogen pentoxide (N2O5). This dataset is associated with the following publication: Olson, D., J. Offenberg, M. Lewandowski, T. Kleindienst, K. Docherty, M. Jaoui, J.D. Krug, and T. Riedel. Data mining approaches to understanding the formation of secondary organic aerosol. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 252: 118345, (2021).