Simulated electroencephalographic signals contaminated with transient pop and drift artifacts

The dataset contains simulated EEG signals and transient pop and drift artifacts at the electrode-scalp interface. It was created to evaluate various transient, high-variance artifact correction algorithms [1]. <br>The code also provides the scripts that were used to create the dataset. The toolbox 'Simulating Event-Related EEG Activity' (SEREEGA) [2] and the NY head model template [3] were used to simulate oscillatory and event related brain activity.A detailed description of the simulated signals is provided in [1].<br><br>[1] Kobler, R. J., Sburlea, A. I., Mondini, V. &amp; Müller-Putz, G. R. HEAR to remove pops and drifts: the high-variance electrode artifact removal (HEAR) algorithm. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019 (submitted)<br><br>[2] Krol, L. R., Pawlitzki, J., Lotte, F., Gramann, K., &amp; Zander, T. O. (2018). SEREEGA: Simulating Event-Related EEG Activity. Journal of Neuroscience Methods, 309, 13-24.<br>[3] Huang, Y., Parra, L. C., &amp; Haufe, S. (2016). The New York Head—A precise standardized volume conductor model for EEG source localization and tES targeting. NeuroImage. https://doi.org/10.1016/j.neuroimage.2015.12.019<br>