SmithPJ_readme20201130.txt file was generated on [20201130] by [Philip J. Smith] ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Data for: Using Bayesian Analysis to Quantify Uncertainty in Radiometer Measurements 2. Author Information Principal Investigator Contact Information Name: Philip J. Smith Institution: The University of Utah Address: Dept. of Chemical Engineering Email: philip.smith@utah.edu Associate or Co-investigator Contact Information Name: Jennifer P. Spinti Institution: The University of Utah Address: Dept. of Chemical Engineering Email: Jennifer.spinti@utah.edu Alternate Contact Information Name: Sean T. Smith Institution: The University of Utah Address: Dept. of Chemical Engineering Email: sean.t.smith@utah.edu 3. Date of data collection (single date, range, approximate date) 20201130 4. Geographic location of data collection (where was data collected?): Salt Lake City Utah 5. Information about funding sources that supported the collection of the data: This material is based upon work supported by the Department of Energy, National Nuclear Security Administration, under Award Number(s) DE-NA0002375. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC BY NC 2. Links to publications that cite or use the data: Spinti, Jennifer P., Smith, Sean T., Smith, Philip J., Harding, N. Stanley, Scheib, Kaitlyn and Teri S. Draper, 2021 Using Bayesian Analysis to Quantify Uncertainty in Radiometer Measurements. J. Verif. Valid. Uncert. March 2021 6(1): 011003 (10 pages)Paper No:VVUQ-20-1027 https://doi.org/10.1115/1.4049301 3. Links to other publicly accessible locations of the data: none 4. Links/relationships to ancillary data sets: noen 5. Was data derived from another source? No If yes, list source(s): 6. Recommended citation for the data: Spinti, Jennifer P., Smith, Sean T., Smith, Philip J., Harding, N. Stanley, Scheib, Kaitlyn and Teri S. Draper. 2020. Data for: Using Bayesian Analysis to Quantify Uncertainty in Radiometer Measurements. The Hive: University of Utah Research Data Repository. DOI:10.7278/S50D6AFQ84VP --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: Radiometer.ipynb Short description: ipython Jupiterlab Notebook of the script that runs the analysis reported in the paper, including generating all figures. B. Filename: scripted_utilities.py Short description: python script of utility functions called by Radiometer.ipynb C. Filename: dtr_RAD_11_16Nov2018.xlsx Short description: input data in excel spreadsheet required for the ipynb script D. Filename: Master_Radiometer_Calibration_Data.xlsx Short description: input calibration data in excel spreadsheet required for the ipynb script 2. Relationship between files: This is a python script that reproduces all of the results reported in the paper, including the figures. The ipynb script uses the other 3 files when executed 3. Additional related data collected that was not included in the current data package: none 4. Are there multiple versions of the dataset? no If yes, list versions: Name of file that was updated: i. Why was the file updated? ii. When was the file updated? Name of file that was updated: i. Why was the file updated? ii. When was the file updated? -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Described completely in the referenced paper 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret the data: Jupiterlab 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: Jennifer P. Spinti, Research Associate Professor, Department of Chemical Engineering, University of Utah Sean T. Smith, Research Associate Professor, Department of Chemical Engineering, University of Utah Philip J. Smith, Professor, Director of Carbon Capture Multidisciplinary Simulation Center, Department of Chemical Engineering, University of Utah N. Stanley Harding, Research Associate, Institute for Clean and Secure Energy, University of Utah Kaitlyn Scheib, Graduate Student, University of Utah Teri S. Draper, Graduate Student, University of Utah ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: [FILENAME] ----------------------------------------- 1. Number of variables: 2. Number of cases/rows: 3. Variable List A. Name: [variable name] Description: [description of the variable] Value labels if appropriate B. Name: [variable name] Description: [description of the variable] Value labels if appropriate 4. Missing data codes: Code/symbol Definition Code/symbol Definition 5. Specialized formats of other abbreviations used