Table 2 Descriptive statistics and missing data percentages for continuous variables in the DSS dataset

Features	Minimum	Maximum	Mean	Std. deviation	Missing data [%]
\({\sigma }_{{YS}}\) [MPa]	386.11	1199.69	654.45	219.51	8.09
\({\sigma }_{{UTS}}\) [MPa]	600.00	1503.06	797.12	204.97	9.62
\({\varepsilon }_{f}\) [%]	9.00	45.00	24.04	7.42	10.24
Cr [wt%]	17.21	26.40	23.25	1.50	0.0
Ni [%]	1.44	8.00	5.93	0.90	0.0
Minor Additions [%]^a	1.52	10.97	4.47	1.23	0.0
PRE [a.u.]^b	25.59	48.04	36.31	3.69	0.0
pH	1.50	8.00	3.81	1.37	29.76
pCO₂ [bar]	0.00	92.88	7.52	18.09	9.13
pH₂S [bar]	0.00	9.91	0.50	0.99	1.49
Cl⁻ [ppm]	100	1,463,492.0	56,100.80	97,009.82	13.42
Temperature [°C]	16.20	288.00	83.29	49.15	3.87
\({\sigma }_{{app}}\) [MPa]^c	0.00	1225.92	478.97	340.19	28.61
\({\sigma }_{R}\) [-] ^c	0.00	1.55	0.62	0.425	28.61

^a Minor additions in DSS samples include C, Mo, N, W, Mn, P, S, Si, Cu.
^b PRE is estimated according to Eq. (1).
^c\({\sigma }_{{app}}\) and \({\sigma }_{R}\) have the same proportion of missing data, as \({\sigma }_{R}\) is given by Eq. (2).

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