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Description: Although a great diversity of emoticons is widely used today in text-based communications, little is known about the way emotions are recognized when using emoticons compared to classic emotional facial expressions and other modes of expression. The aim of the research project is to examine the quality of recognition of emotions based on specifically designed ‘new’ emoticons representing facial expressions compared to other modes of emotional expression such as Facebook emoticons, sketches of faces, and photographs of facial expressions. Data can be download for statistical analyses with the Jamovi open source sofware (https://www.jamovi.org/) Cherbonnier, A., & Michinov, N. (2021). The recognition of emotions beyond facial expressions: Comparing emoticons specifically designed to convey basic emotions with other modes of expression. Computers in Human Behavior, https://doi.org/10.1016/j.chb.2021.106689