Dataset with Facial Emotion Recognition Accuracy Scores and Polycystic Ovary Syndrome Symptoms in a Young Adult Sample

It includes data on 236 participants with 178 of these having data that was used to examine facial emotion recognition accuracy in the paper described below. It includes 126 participants assigned female at birth (AFAB) and 52 assigned male at birth (AMAB).

Of the 126 AFAB, 19 met provisional criteria for a Polycystic Ovary Syndrome (PCOS) diagnosis and 107 AFAB individuals did not meet this criterion. Other variables include: adverse childhood experience scale scores, perceived stress scale scores, positive and negative affect schedule scores, demographics, and general health variables. All main variables necessary to reproduce the analyses reported in the manuscript are included in this dataset.