Supplemental information showing results of inter-comparison between C-PORT, AERMOD and R-LINE dispersion algorithms. This dataset is associated with the following publication: Isakov, V., T. Barzyk, B. Smith, S. Arunachalam , B. Naess , and A. Venkatram. A web-based screening tool for near-port air quality assessments. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 98: 21-34, (2017).

Files containing daily average NO, NO2, CO, and EC concentrations simulated by WRF/CMAQ at 36 km resolution for the time period 1990 – 2010. These data were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Four decades of United States mobile source pollutants: spatial-temporal trends assessed by ground-based monitors, air quality models, and satellites”. Portions of this dataset are inaccessible because: Data files have now been uploaded. They can be accessed through the following means: Data files have now been uploaded. Format: Data files have now been uploaded. This dataset is associated with the following publication: Henneman, L., H. Shen, C. Hogrefe, A. Russell, and C. Zigler. Four Decades of United States Mobile Source Pollutants: Spatial–Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(2): 882-892, (2021).

This dataset contains final data for the manuscript titled "Comparing short-term volatile organic compound measurements in fenceline environments using multiple mobile air monitoring platforms and methods", Coughlin et al. This dataset and manuscript describes a two-week field campaign where a team cross-compared air monitoring instrumentation in a mobile monitoring format. The scripts included in the data repository process raw data, generate visualizations, and compare measurements from various instruments including a PTR-ToF-MS, UV-DOAS, GC-MS, and SIFT-MS. Different sampling resolutions are handled within the scripts using rolling averages The Methods and Materials within the article describes the monitoring instrumentation that was used and the sampling methodology. A description of the variables in each column of the data files is contained in the file "metadata.xlsx" Auto GC Clean_final.xlsx: Cleaned Automated GC data for analysis from the MDNR site. Canister-PTRMS Comparison_final.xlsx: Data for comparing Canister and PTR-ToF-MS measurements. Canister_final.xlsx: Summary data from canister measurements analyzed by an offline GC-MS. DUVAS_BEN_reprocessed_final.xlsx: Reprocessed UV-DOAS data for comparison. Location_summary.xlsx: Summary of PTR-ToF-MS concentrations during canister collections. monoterpene_final.xlsx: Monoterpene concentration data for interference analysis. PTRMS-GMAP Comparison_final.xlsx: PTRMS and GMAP comparison data from different facilities. PTRMS_canister_stats_summary.csv: Processed summary of PTRMS Canister data. PTRMS_canister_stats_summary_final.csv: Final processed statistics for PTRMS Canister data. PTRMS_concentration_gps_final.xlsx: Joined PTRMS concentration and GPS data. PTRMS_GPS_final.xlsx: Finalized GPS data for PTRMS analysis. siftms_mz_45_comparison_final.xlsx: Data for comparing SIFT-MS at for potential acetaldehyde/EtO interference. This dataset is associated with the following publication: Coughlin, J., A. Tasoglou, K. Haile, L. Silva, S. Hamilton, M. Fuoco, S. Porter, A. Liangou, and E. Thoma. Comparing short-term volatile organic compound measurements in fenceline environments using multiple mobile air monitoring methods. ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(3): 295–308, (2025).