Data of the article entitled: "Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments"

This dataset includes EEG recordings, VR simulation logs, details of the machine learning (ML) techniques, and survey responses collected from 52 female cyclists in Tehran, Iran, to study factors influencing their perception of security while cycling. EEG data was gathered using a 21-channel wireless EEG headset during VR bicycle simulations depicting various environmental settings. The Python code for clustering, used to apply ML techniques in this study, is also provided. The VR logs capture details about the simulated cycling routes and conditions, while the survey responses provide self-reported assessments of perceived security corresponding to each simulation.The data is being made available under the terms of the Apache License 2.0, which allows anyone to freely use, distribute, and modify the data for any purpose as long as the terms of the license are retained. Proper attribution must be given to the original authors. The data may be used to reproduce the analysis described in the study summary or for any other academic, commercial, or personal purposes without restriction. We hope that releasing this data will allow others to study further factors impacting women's cycling security.