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  "title": "Optical n(p, T_90) measurement suite 1:  He, Ar, and N_2",
  "contactPoint": {
    "fn": "Patrick Egan",
    "hasEmail": "mailto:patrick.egan@nist.gov"
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    "Supplemental material to the article \"Optical n(p, T_90) measurement suite 1: He, Ar, and N_2\" by PF Egan and Y Yang in International Journal of Thermophysics 2023.",
    "The archive file contains research data and analysis scripts as follows:",
    "* The n(p, T_90) dataset for helium.  A Python script analyzes the data to produce the estimate of temperature-dependent compressibility, and reproduces Fig. 2 from the article.",
    "* The n(p, T_90) dataset for argon.  A Python script analyzes the data to determine T - T_90, and reproduces Fig. 3 from the article. \nAdditionally, the output data T - T_90 (Table 2 in the article) are included in a separate text file, together with the estimated uncertainty in the determination.  The Python script includes the further analysis undertaken on the nonlinear terms B and C to reproduce Fig. 6.",
    "* The n(p, T_90) dataset for nitrogen.  A Python script analyzes the data to reveal the temperature-dependence of polarizability, and reproduce Fig. 4.  The script includes the further analysis undertaken on the nonlinear terms B and C to reproduce Fig. 7.",
    "* A Python script uses argon and nitrogen results from the present work to reproduce Fig. 5, a graphical depiction of difference with literature\n  for the second density virial coefficient B_p."
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