Table 1. Datasets included in the ML-SAScombine calculations for updated consensus data that were used for Guinier and p(r) analyses (Fig. 2 ▸, Tables 2 ▸ and 3 ▸).

N_SS, N_batch, N_I(q), N_inst, N_bin, are the numbers of SEC-SAXS profiles, batch profiles, total I(q) profiles combined, contributing instruments, bins specified for ML-SAScombine. For RNase A and urate oxidase, the q_min values for the batch data were spread over the ranges indicated in square brackets to minimize effects of the changes in error magnitude around the merge region.

Protein	N SS	SEC-SAXS qmin (Å−1)	N batch	Batch qmin (Å−1)	N I (q)	N inst	N bin	Cumulative χ2 value†/NI(q) (maximum χ2)	Error adjustment factor per BayesApp
Xylose isomerase	6	0.01	4	0.01	29	10	501	1.04 (1.37)	1.72
			16	0.08
			3	0.3
Urate oxidase	9	0.01	25	[0.00788, 0.00812]	34	9	501	1.09(1.65)	1.28
Xylanase	4	0.01	11	0.18	17	7	501	0.84 (1.13)	1.06
			2	0.25
Lysozyme	0	–	11	0.01	12	5	251	0.92 (1.15)	1.14
			1	0.5
RNase A	6	0.005	12	[0.075, 0.085]	24	9	251	0.96 (1.16)	1.29
			6	[0.10, 0.20]

^†The cumulative χ² value = Σχ² for each contributing experimental I(q) calculated according to equation (4).