This archive contains the bidirectional reflectance distribution function (BRDF) data of real-world samples associated with the paper Aaron M. Goldfain, Grace E. Waters, Lynn Davis, Heather J. Patrick, and Thomas A. Germer, "Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module," Applied Optics 63, 7715-7725 (2024). https://doi.org/10.1364/AO.527427 . The figures in the paper show a subset of the data included in this archive.This archive contains the measured BRDF of materials commonly found in public spaces where UV disinfection may be used. The BRDF is measured at wavelengths of 222 nm, 255 nm, and 280 nm. The 8 samples measured are an acrylonitrile butadiene styrene (ABS) plastic panel, a vinyl sheet, a polypropylene sheet, an extruded steel sheet, an extruded aluminum sheet, a silver-coated reflector, a glossy white ceramic tile, and a glossy grey ceramic tile. The data is presented as text files along with images that show plots of each sample's BRDF as a function of detection angle.

This archive contains the bidirectional reflectance distribution function (BRDF) data of real-world samples associated with the paper Aaron M. Goldfain, Grace E. Waters, Lynn Davis, Heather J. Patrick, and Thomas A. Germer, "Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module," to be submitted (2024). The figures in the paper show a subset of the data included in this archive.This archive contains the measured BRDF of materials commonly found in public spaces where UV disinfection may be used. The BRDF is measured at wavelengths of 222 nm, 255 nm, and 280 nm. The 8 samples measured are an acrylonitrile butadiene styrene (ABS) plastic panel, a vinyl sheet, a polypropylene sheet, an extruded steel sheet, an extruded aluminum sheet, a silver-coated reflector, a glossy white ceramic tile, and a glossy grey ceramic tile. The data is presented as text files along with images that show plots of each sample's BRDF as a function of detection angle.

Data corresponding to graphs in paper. This dataset is associated with the following publication: Hepler, K., M. Kaminski, E. VanderZee, C. VanGroningen, and M. Magnuson. Logistics Simulation of a Remediation Effort for a Hypothetical Radiological Contamination Scenario. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY. Elsevier Science Ltd, New York, NY, USA, 255: 107017, (2022).

Data corresponding to graphs in paper. This dataset is associated with the following publication: Hepler, K., M. Kaminski, E. VanderZee, C. VanGroningen, and M. Magnuson. Logistics Simulation of a Remediation Effort for a Hypothetical Radiological Contamination Scenario. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY. Elsevier Science Ltd, New York, NY, USA, 255: 107017, (2022).

The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN17.WDM (Bera and Over, 2018) and renamed as ARGN18.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. Temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989 (Over and others, 2010). The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods. The statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2018) stations at St. Charles and DeKalb, Illinois, were used as "backup". Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010). References Cited: Argonne National Laboratory, 2018, Meteorological data, accessed on October 10, 2018, at http://www.atmos.anl.gov/ANLMET/. Bera, M., and Over, T.M., 2018, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F7H1318R. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. Water and Atmospheric Resources Monitoring Program, 2018, Illinois Climate Network: Champaign, Ill., Illinois State Water Survey, accessed on October 30, 2018, at http://dx.doi.org/10.13012/J8MW2F2Q.

The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2020. The primary data for water year 2020 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2020) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN19.WDM (Bera and Over, 2020) and renamed as ARGN20.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. Temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989 (Over and others, 2010). The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods. The statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2020) stations at St. Charles and DeKalb, Illinois, were used as "backup". Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010). References Cited: Argonne National Laboratory, 2020, Meteorological data, accessed on November 17, 2020, at http://www.atmos.anl.gov/ANLMET/. Bera, M., 2020, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9X0P4HZ. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. Water and Atmospheric Resources Monitoring Program, 2020, Illinois Climate Network: Champaign, Ill., Illinois State Water Survey, accessed on November 9, 2020, at http://dx.doi.org/10.13012/J8MW2F2Q.

The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2019. The primary data for water year 2019 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2019) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN18.WDM (Bera and Over, 2019) and renamed as ARGN19.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. Temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989 (Over and others, 2010). The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods. The statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2019) stations at St. Charles and DeKalb, Illinois, were used as "backup". Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010). References Cited: Argonne National Laboratory, 2019, Meteorological data, accessed on November 6, 2019, at http://www.atmos.anl.gov/ANLMET/. Bera, M., 2019, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9H8P0F7. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. Water and Atmospheric Resources Monitoring Program, 2019, Illinois Climate Network: Champaign, Ill., Illinois State Water Survey, accessed on November 6, 2019, at http://dx.doi.org/10.13012/J8MW2F2Q.

This text file "Solar radiation.txt" contains hourly data in Langleys and associated data-source flag from January 1, 1948, to September 30, 2017. The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). Missing and apparently erroneous data values were replaced with adjusted values from nearby stations used as “backup”. Temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989 (Over and others, 2010). The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods; the statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2015) station at St. Charles, Illinois is used as "backup". Each data source flag is of the form "xyz" that allows the user to determine its source and the methods used to process the data (Over and others, 2010). References Cited: Argonne National Laboratory, 2017, Meteorological data, accessed on October 25, 2017, at URL http://gonzalo.er.anl.gov/ANLMET/. Midwestern Regional Climate Center, 2017, Meteorological data, accessed on December 5, 2017, at URL http://mrcc.isws.illinois.edu/CLIMATE/welcome.jsp. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. Water and Atmospheric Resources Monitoring Program, 2015, Illinois Climate Network: Champaign, Ill., Illinois State Water Survey, accessed on December 5, 2017, at http://dx.doi.org/10.13012/J8MW2F2Q.