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Table 2.

Overview of the dataset and fit quality.

By measurement uncertainty By torsional state
MW data FIR data
Unc. (a) # (b) rms (c) vt(d) # (b) wrms (e) vt(d) # (b) wrms (e)
0.010 MHz 703 0.0087 MHz vt = 0 ← 0 3551 0.68(2.075) vt = 0 ← 0 1436 0.54(0.640)
0.020 MHz 3501 0.0187 MHz vt = 1 ← 1 2618 0.93(2.102) vt = 1 ← 0 8537 0.44(0.785)
0.030 MHz 162 0.0240 MHz vt = 2 ← 2 1617 1.35(4.369) vt = 1 ← 1 896 0.75(1.139)*
0.050 MHz 1307 0.0495 MHz vt = 2 ← 1 27 1.87 vt = 2 ← 0 1129 0.72(1.195)
0.100 MHz 613 0.0923 MHz vt = 2 ← 1 6573 0.67(1.283)*
0.200 MHz 679 0.1892 MHz vt = 2 ← 2 895 0.79(1.825)*
2 × 10−4 cm−1 16 345 1.2 × 10−4 cm−1

Notes.

(a)

Estimated measurement uncertainties for each data group.

(b)

Number of lines (left part) or transitions (middle and right parts) of each category in the least-squares fit. Due to blending, 27 279 transitions correspond to 23 310 measured line frequencies in the fit.

(c)

Root-mean-square (rms) deviation of corresponding data group.

(d)

Upper and lower state torsional quantum number vt.

(e)

Weighted root-mean-square (wrms) deviation of corresponding data group. The corresponding value from the previous work of Xu et al. (2008) is given in parentheses. For categories marked with an asterisk, the wrms deviation was recalculated taking into account that in the current work for these categories we changed the uncertainty from 3.5 × 10−4 cm−1 to 2.0 × 10−4 cm−1.

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