Dataset on Emotion with Naturalistic Stimuli (DENS)

Please check the dataset on https://osf.io/n9tbh/

Overview
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This is the "Emotion" dataset. The Dataset is recorded with naturalistic paradigm

In brief, it contains EEG, ECG and EMG data for 40 subjects emotionally stimulated using naturalistic emotion stimuli. The stimuli are multimedia videos providing context to understand the situated conceptualization of emotions.
For details, see the `Details about the experiment` section.

Citing this dataset
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Please cite as follows:
Sudhakar Mishra and Md. Asif and Uma Shanker Tiwary and Narayanan Srinivasan(2023). Dataset on Emotion with Naturalistic Stimuli (DENS). OpenNeuro. [Dataset] doi: https://doi.org/10.18112/openneuro.ds003751.v1.0.5

For more information, see the `dataset_description.json` file.

License
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This eeg_emotion dataset is made available under the Open Database
License: See the LICENSE file. A human readable information can be found at:

https://opendatacommons.org/licenses/odbl/summary/

Any rights in individual contents of the database are licensed under the
Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

Dataset Description
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Dataset\_description file described the metadata for the dataset. Participants related details are described in participants.json and participants.tsv files. Each subject directory contains two directories- beh and eeg. A tsv file inside beh folder having entries about the feedbacks given by subject on self-assessment scales-valence, arousal, dominance, liking, familiarity, relevance and emotion category. In addition, it contains the information about the time-stamp of mouse click and other details. The eeg folder inside subject directory contains the raw eeg data in .set \& .fdt format along with the information about task events in \_task-emotion\_events.tsv file. The stimuli directory contains stimuli which were used during the experiment. In addition, feedback excel sheet participant\_details.xlsx filled by participants is also added. The code directory contains the python code for data collection, python code for data validation and matlab file for pre-processing the raw data.