A list of all facial muscle movements mentioned in the chimpFACS manual [5] and considered in our present study.

We include the raw count and proportion of facial muscle movements identified in previous studies (i.e., our “observed” configuration list), as well as the raw count and proportion of facial muscle movements that were in our “unobserved” configuration list (identified using our combinatorial model). The proportion of "observed" facial muscle movements was calculated by dividing the number of instances that each facial muscle movement was observed (in column 3) by the total number of facial configurations in our "observed" list (N = 57). The proportion of “unobserved” facial muscle movements was calculated by dividing the number of instances that each facial muscle was generated by our Python model (in column 5) by the total number of facial configurations in our “unobserved” list (N = 238,022). The last column displays the difference in proportion between observed and unobserved facial muscle movements (by subtracting column 4 from column 6).本数据集纳入了既往研究中已识别的面部肌肉运动的原始计数与占比（即本研究的「观测到的面部配置列表」），同时也纳入了「未观测到的面部配置列表」中面部肌肉运动的原始计数与占比——后者通过本研究的组合模型识别得到。 「观测到的」面部肌肉运动占比的计算方式为：将每一类面部肌肉运动的观测实例数（第3列）除以「观测到的面部配置列表」中的面部配置总数量（N = 57）。 「未观测到的」面部肌肉运动占比的计算方式为：将每一类面部肌肉运动由本研究Python模型生成的实例数（第5列）除以「未观测到的面部配置列表」中的面部配置总数量（N = 238,022）。 最后一列展示了观测到与未观测到的面部肌肉运动的占比差值（即第6列减去第4列）。