Each plot is the average of 10 random subsets.[]{data-label="fig:split_metrics"}](cc_split_combined.pdf "fig:"){width="0.5\columnwidth"}
                                                                                                                                                                                                                                                                                                                                                                                                                                           (a)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   (b)
      ![Dependency of reconstruction metrics on selection fraction. (a) Plots of CC$_{1/2}$ vs $q$ for the full data set and for a selection fraction of $p=2^{-8}=1/256$. Error bars represent the standard deviation across 10 different random half datasets and the dashed line represents the CC$_{1/2}=0.5$ cutoff. To represent dependence on selection fraction, we plot the metric in grayscale versus both selection fraction and $q$ in panels (b)-(d) with the color representing the metric value. (b) CC$_{1/2}$, the green dashed line shows the $q$ for the CC$_{1/2} = 0.5$ cutoff; (c) PRTF, dashed line shows the typical PRTF$=1/e$ cutoff, and (d) FSC, where the metric never went below the standard half-bit criterion. Each plot is the average of 10 random subsets.[]{data-label="fig:split_metrics"}](prtf_combined.pdf "fig:"){width="0.5\columnwidth"}        ![Dependency of reconstruction metrics on selection fraction. (a) Plots of CC$_{1/2}$ vs $q$ for the full data set and for a selection fraction of $p=2^{-8}=1/256$. Error bars represent the standard deviation across 10 different random half datasets and the dashed line represents the CC$_{1/2}=0.5$ cutoff. To represent dependence on selection fraction, we plot the metric in grayscale versus both selection fraction and $q$ in panels (b)-(d) with the 