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Dog visual perception of faces, objects and phase-scrambled images, measured with non-invasive electroencephalography

<p>This is the dataset used in the publication of Kujala MV, Kauppi J-P, T&ouml;rnqvist&nbsp;H, Helle L, Vainio O, Kujala&nbsp;J, Parkkonen&nbsp;L (2020).&nbsp;Time-resolved classification of dog brain signals reveals early processing of faces, species and emotion. Scientific reports 10, 19846 (2020). https://doi.org/10.1038/s41598-020-76806-8.</p> <p>The dataset is electroencephalography data, measured non-invasively from the surface of the head from eight different dogs; and its supporting files. The data has been measured with 7-9 EEG electrodes; only the data from 7 EEG channels were used in the analysis. During the measurement, dogs were free to move; they were not restrained in any way.&nbsp;Instead, they were trained with positive operant conditioning to lie down and lean their head on a chin rest for short periods of time, during which they were shown still images from a computer screen. The stimuli were shown, in pseudo-randomized order, in eight different presentation scenarios, within 5 separate stimulus blocks per scenario,&nbsp;15&ndash;20 stimuli per block. Between the stimulus blocks, dogs were always rewarded with a treat; this has caused major movement artifacts on the data between the stimulus blocks.&nbsp;Different presentation scenarios were shown in different days and repeated twice. Please refer to the above publication for further details of the experiment.</p> <p>The trigger is the same across all the stimuli; thus, separate scenario stimulus identifier lists were used in determining the stimulus order; please refer to the README.txt file and PresentationScenarios.xlsx files for further details.</p> <p>The dataset also contains anatomical magnetic resonance images of one dog, which was used in the aforementioned publication for source localization.</p> <p>If you have further questions regarding the data or the acquisition, please do not hesitate to contact the authors of the original publication.</p>

ShareScore

8/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
0
Reuse readiness
0
Engagement
0

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