EEG Dataset of 38 Infants (Aged 5-13 Months) Viewing Human and Monkey Faces (Two Identities Each)

<p><strong>EEG Dataset of 38 Infants (Aged 5-13 Months) Viewing Human and Monkey Faces (Two Identities Each)</strong></p> <p><em><strong>Roman Kessler</strong> &amp; <strong>Michael A. Skeide</strong></em></p> <p><br><br>Raw data set used in the study titled:&nbsp;</p> <p><strong>Electrophysiological decoding captures the temporal trajectory of face categorization in infants</strong></p> <p><em><strong>Roman Kessler</strong> &amp; <strong>Michael A. Skeide</strong></em></p> <p>&nbsp;</p> <p>Processing scripts related to the study, cleaned raw data, demographical information, and processed data can be found at:</p> <p>https://github.com/SkeideLab/PRAWN</p> <p>&nbsp;</p> <p>When using this data, please cite:</p> <ul> <li>Kessler, R., &amp; Skeide, M. A. (2024). Electrophysiological decoding captures the temporal trajectory of face categorization in infants. bioRxiv. <a href="https://doi.org/10.1101/2024.10.07.617144">https://doi.org/10.1101/2024.10.07.617144</a></li> <li>Kessler, R., &amp; Skeide, M. A. (2024). EEG Dataset of 38 Infants (Aged 5-11 Months) Viewing Human and Monkey Faces (Two Identities Each) (1.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.13881207" target="_blank" rel="noopener">https://doi.org/</a><a href="https://doi.org/10.5281/zenodo.13881207">10.5281/zenodo.13881206</a></li> </ul> <p>&nbsp;</p> <p>The dataset contains raw data of 38 infants, that were invited 1-2 times each for an EEG experiment showing human (2 individuals) or monkey (2 individuals) faces. See Kessler &amp; Skeide 2024 (bioRxiv) for more information.</p> <p>The preprocessed and all downstream data is located in the GitHub repository.</p> <p>The raw_eeg.zip file is the raw data as provided from the EEG system. Sometimes the session is comprised of several raw eeg files, that are concatenated and cleaned of artifacts from technical failures.</p> <p>The raw_adult_pilots.zip contains the raw data of two adult participants.</p>