YBoBp: Multimodal EEG, Movement, and Audio Dataset

A 2.4 GB multimodal dataset integrates EEG brain activity data with expressive movement and music audio. It was created with support from the National Science Foundation, NIH, and the University of Texas MD Anderson Cancer Center. The dataset is structured for research on the coupling of neurological signals, physical motion, and auditory stimuli.

Use Cases

• Analyzing EEG signal patterns correlated with specific musical excerpts or movement sequences.
• Training models for multimodal activity recognition based on synchronized brain and audio data.
• Investigating convergent research questions in coupled brain activity, expressive movement, and music.

Strengths

• Dataset size is explicitly 2.4 GB, indicating substantial data volume.
• Clear multimodal nature combining EEG, movement, and audio data types.
• Supported by multiple prestigious grants from NSF and NIH.

Limitations

• Column names and row counts are not provided, limiting understanding of data structure.
• The dataset title 'YBoBp' is cryptic and non-descriptive.
• The last update date (March 2026) is in the future, indicating a potential metadata error.

Provenance

Source

Maxine Annel Pacheco-Ramírez; University of Houston; University of Texas MD Anderson Cancer Center.

Collection Method

Likely gathered through experimental sessions recording EEG, movement, and audio.

Time Range

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Freshness

2026-03-18 23:56:53

Geography

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