From 2004 to present, the Arab-Muslim IAT was available on the Project Implicit demonstration website (https://implicit.harvard.edu/implicit/selectatest.html Click on “Arab-Muslim IAT” to try it yourself). The Arab-Muslim IAT includes one standard IAT (Arab-Muslim names vs. Other names; Good vs. Bad), sets of explicit measures (such as attitudes toward Arab-Muslim or other people), set of demographic questions (race, ethnicity age, gender etc.), and debriefing questions about how respondents thought about their IAT score after the task. From 2004 to the end of 2017, there are 841,246 session IDs created for Arab-Muslim IAT, and the overall completion rate is around 43.2%. There were 485,900 respondents who completed the standard IAT part of the task, which is 57.8% of the total respondents. Under this OSF project, you may download 1) Arab-Muslim IAT data sets with IAT score computed, self-report data labeled, and demographic information by year or for all years; 2) codebooks associated with each data set; 3) experiment materials and description of procedure; 4) Skeleton syntax for SPSS to start your own data analysis. The public data sets don't have participants' zip code/postcode to protect privacy. The data sets, however, have state, county, Metropolitan Statistical Area information for respondents who reported US zip codes. Please contact Project Implicit at admin@projectimplicit.net for any question or comment.