Music Listening- Genre EEG dataset (MUSIN-G)

uploaded by Krishna Miyapuram on 2021-08-23 - 27 days ago
last modified on 2021-08-24 - 26 days ago
authored by Krishna Prasad Miyapuram, Pankaj Pandey, Nashra Ahmad, Bharatesh R Shiraguppi, Esha Sharma, Prashant Lawhatre, Dhananjay Sonawane, Derek Lomas
21568271
We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.


OpenNeuro Accession Number: ds003774
Files: 1685, Size: 10.12GB, Subjects: 20, Sessions: 12
Available Tasks: MusicListening
Available Modalities: EEG

README

The dataset contains Electroencephalography (EEG) responses from 20 Indian participants, on 12 songs of different genres (from Indian Classical to Goth Rock). Each session indicates a song by its number.

For the experiment, the participants were indicated to close their eyes indicated by a single beep, and the song was presented to them on speakers. After listening to each song, a double beep was presented, asking them to open their eyes and rate their familiarity and enjoyment to the song. The responses were taken on a scale of 1 to 5, where 1 meant most familiar or most enjoyable, and 5 meant least familiar or least enjoyable.

Authors

  • Krishna Prasad Miyapuram
  • Pankaj Pandey
  • Nashra Ahmad
  • Bharatesh R Shiraguppi
  • Esha Sharma
  • Prashant Lawhatre
  • Dhananjay Sonawane
  • Derek Lomas

Dataset DOI

10.18112/openneuro.ds003774.v1.0.0

License

CC0

Acknowledgements

How to Acknowledge

Funding

References and Links

*

Ethics Approvals

How To Cite

Copy
Krishna Prasad Miyapuram and Pankaj Pandey and Nashra Ahmad and Bharatesh R Shiraguppi and Esha Sharma and Prashant Lawhatre and Dhananjay Sonawane and Derek Lomas (2021). Music Listening- Genre EEG dataset (MUSIN-G). OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003774.v1.0.0
More citation info

Music Listening- Genre EEG dataset (MUSIN-G)

uploaded by Krishna Miyapuram on 2021-08-23 - 27 days ago
last modified on 2021-08-24 - 26 days ago
authored by Krishna Prasad Miyapuram, Pankaj Pandey, Nashra Ahmad, Bharatesh R Shiraguppi, Esha Sharma, Prashant Lawhatre, Dhananjay Sonawane, Derek Lomas
21568271

OpenNeuro Accession Number: ds003774
Files: 1685, Size: 10.12GB, Subjects: 20, Sessions: 12
Available Tasks: MusicListening
Available Modalities: EEG

README

The dataset contains Electroencephalography (EEG) responses from 20 Indian participants, on 12 songs of different genres (from Indian Classical to Goth Rock). Each session indicates a song by its number.

For the experiment, the participants were indicated to close their eyes indicated by a single beep, and the song was presented to them on speakers. After listening to each song, a double beep was presented, asking them to open their eyes and rate their familiarity and enjoyment to the song. The responses were taken on a scale of 1 to 5, where 1 meant most familiar or most enjoyable, and 5 meant least familiar or least enjoyable.

Authors

  • Krishna Prasad Miyapuram
  • Pankaj Pandey
  • Nashra Ahmad
  • Bharatesh R Shiraguppi
  • Esha Sharma
  • Prashant Lawhatre
  • Dhananjay Sonawane
  • Derek Lomas

Dataset DOI

10.18112/openneuro.ds003774.v1.0.0

License

CC0

Acknowledgements

How to Acknowledge

Funding

References and Links

*

Ethics Approvals

How To Cite

Copy
Krishna Prasad Miyapuram and Pankaj Pandey and Nashra Ahmad and Bharatesh R Shiraguppi and Esha Sharma and Prashant Lawhatre and Dhananjay Sonawane and Derek Lomas (2021). Music Listening- Genre EEG dataset (MUSIN-G). OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003774.v1.0.0
More citation info

Dataset File Tree

Git Hash: fb2a9d7 

BIDS Validation

We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

Dataset File Tree

Git Hash: fb2a9d7 

Comments

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