Data in Brief 42 (2022) 108066 Contents lists available at ScienceDirect Data in Brief journal homepage: www.elsevier.com/locate/dib Data Article Electroencephalography and psychological assessment datasets to determine the efficacy of a low-cost, wearable neurotechnology intervention for reducing Post-Traumatic Stress Disorder symptom severity N. du Bois a , A.D. Bigirimana a,b , A. Korik a , L. Gaju Kéthina c , E. Rutembesa c , J. Mutabaruka c , L. Mutesa d , G. Prasad a , S. Jansen c , D. Coyle a,* a Intelligent Systems Research Centre, Ulster University (UU), Magee Campus, NI, UK b School of Electronics, Electrical Engineering and Computer Science, Queen’s University, NI, UK c Department of Clinical Psychology, College of Medicine and Health Sciences, University of Rwanda (UR), Rwanda d Centre for Human Genetics, School of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda (UR), Rwanda a r t i c l e i n f o Article history: Received 1 March 2022 Revised 11 March 2022 Accepted 14 March 2022 Available online 26 March 2022 Dataset link: EEG and psychological assessment datasets: Neurofeeedback for the treatment of PTSD (Original data) a b s t r a c t The datasets described here comprise electroencephalog- raphy (EEG) data and psychometric data freely avail- able on data.mendeley.com. The EEG data is available in .mat formatted files containing the EEG signal values structured in two-dimensional (2D) matrices, with chan- nel data and trigger information in rows, and samples in columns (having a sampling rate of 250Hz). Twenty- nine female survivors of the 1994 genocide against the Tutsi in Rwanda, underwent a psychological assessment be- fore and after an intervention aimed at reducing Post- Traumatic Stress Disorder (PTSD) symptom severity. Three measures of trauma and four measures of wellbeing were as- sessed using empirically validated standardised assessments. DOI of original article: 10.1016/j.jad.2021.08.071 * Corresponding author at: MS138, School of Computing, Eng & Intel. Sys, Ulster University, Magee Campus, Northland Road, Londonderry, BT48 7JL, Northern Ireland, UK. E-mail address: dh.coyle@ulster.ac.uk (D. Coyle). Social media: @UlsterCompEng (D. Coyle) https://doi.org/10.1016/j.dib.2022.108066 2352-3409/© 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)