This project “fenceline Passive Sampler and Sensor Studies” contains information on several related field efforts that examine use of passive sorbent tubes and prototype fenceline sensor technologies near sources of volatile organic compounds, with particular emphasis on the compound benzene. There are three primary data sets included with multiple journal articles linked to these data sets. The data sets with metadata and data dictionaries are as follows: Corpus Christi Passive Sampler Study data set: Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, benzene data from automated gas chromatograph (TCEQ site), metrological data (TCEQ site). Multiregional Passive Sampler Study data set: Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, metrological data (local airports). Philadelphia Sensor Studies data sets: Baseline corrected five-minute time-resolved fenceline sensor (concetrion and wind field) data for (1) alpha version prototype system and (2) beta version prototype system, sampling time periods for utilized sensor deployments, GPS locations of all sensors, five-minute time-resolved concentration data from co-located optical spectroscopy system (City of Philadelphia Air Measurements Services), metrological data (Philadelphia airport). This dataset is associated with the following publications: Thoma , E., H. Brantley , K. Oliver , D. Whitaker , S. Mukerjee , B. Mitchell , B. Squier , T. Wu , E. Escobar, T. Cousett, C. Gross-Davis , H. Schmidt , D. Sosna, and H. Weiss. South Philadelphia Passive Sampler and Sensor Studies. JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, USA, 66(10): 959-970, (2016). Mukerjee , S., L. Smith, E. Thoma , K. Oliver , D. Whitaker , T. Wu , and C. Stallings. Spatial analysis of volatile organic compounds in South Philadelphia using passive samplers. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 66(5): 492-498, (2016). Eisele , A., S. Mukerjee , L. Smith, E. Thoma , D. Whitaker , K. Oliver , T. Wu , M. Colon , L. Alston, T. Cousett, M. Miller , D. Smith , and C. Stallings. Volatile organic compounds at oil and natural gas production well pads in Colorado and Texas using passive samplers. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 66(4): 412-419, (2016). Oliver, K., T. Cousett, D. Whitaker, L. Smith, S. Mukerjee, C. Stallings, E. Thoma, L. Alston, M. Colon, T. Wu, and S. Henkle. Sample integrity evaluation and EPA Method 325B interlaboratory comparison for select volatile organic compounds collected diffusively on Carbopack X sorbent tubes. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 163: 99-106, (2017).

Rubbertown Passive VOC Dataset. This dataset is associated with the following publication: Mukerjee, S., L. Smith, E. Thoma, D. Whitaker, K. Oliver, R. Duvall, and T. Cousett. Spatial analysis of volatile organic compounds using passive samplers in the Rubbertown industrial area of Louisville, Kentucky, USA. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, issue}: 81-86, (2020).

This project “fenceline Passive Sampler and Sensor Studies” contains information on several related field efforts that examine use of passive sorbent tubes and prototype fenceline sensor technologies near sources of volatile organic compounds, with particular emphasis on the compound benzene. There are three primary data sets included with multiple journal articles linked to these data sets. The data sets with metadata and data dictionaries are as follows: Corpus Christi Passive Sampler Study data set: Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, benzene data from automated gas chromatograph (TCEQ site), metrological data (TCEQ site). Multiregional Passive Sampler Study data set: Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, metrological data (local airports). Philadelphia Sensor Studies data sets: Baseline corrected five-minute time-resolved fenceline sensor (concetrion and wind field) data for (1) alpha version prototype system and (2) beta version prototype system, sampling time periods for utilized sensor deployments, GPS locations of all sensors, five-minute time-resolved concentration data from co-located optical spectroscopy system (City of Philadelphia Air Measurements Services), metrological data (Philadelphia airport). This dataset is associated with the following publication: Brantley, H., M. Fuentes, J. Guinness,, and E. Thoma. Spatial Quantile Regression for Data With Smooth Density Functions. Statistica Sinica. International Chinese Statistical Association (ICSA), Statesboro, GA, USA, 1-14, (2020).

The dataset is comprised of VOC concentrations of soil gas, outdoor and indoor air samples collected at the site for the duration of this study. This dataset is associated with the following publication: Zimmerman, J., A. Williams, B. Schumacher, C. Lutes, L. Levy, G. Buckley, V. Boyd, C. Holton, T. McAlary, and R. Truesdale. The Representativeness of Subslab Soil Gas Collection as Effected by Probe Construction and Sampling Methods. Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 44(3): 106-121, (2024).

2016 Uinta Basin Pneumatic Controller Study Database: This study along with select figures and calculations. This dataset is associated with the following publication: Thoma, E., P. Deshmukh, R. Logan, M. Stovern, C. Dresser, and H. Brantley. Assessment of Uinta Basin Oil and Natural Gas Well Pad Pneumatic Controller Emissions. Journal of Environmental Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 8(4): 394-415, (2017).

This dataset contains information used to develop the graphs contained in the journal article "Rubbertown Next Generation Demonstration Project" It contains passive sampler data for one year and select SPod Fenceline senor and Gas Chromatograph data associated with two emissions events described in the paper. This dataset is associated with the following publication: Thoma, E., I. George, R. Duvall, T. Wu, D. Whitaker, K. Oliver, S. Mukerjee, H. Brantley, J. Spann, T. Bell, N. CarltonCarew, P. Deshmukh, J. Cansler, T. Cousett, T. Wei, A. Cooley, K. Zimmerman, B. Dewitt, and B. Parris. Rubbertown Next Generation Emissions Measurements Demonstration Project June 2019. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(11): 19, (2019).

Data includes CMAQ code, CMAQ output, analysis scripts, CMAQ emission inputs, and VCPy emission framework code.

Measurements of Benzene collected at Friant-Kern Canal At Pond Road Mile Post 122. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).