CIS-ET-RSVP: EEG Data for Eyewitness Target Identification in Criminal Scenarios

An EEG dataset for single-target and multi-target identification by eyewitnesses in criminal investigation scenarios. The dataset was created by Yimin Li and was last updated on March 22, 2026. It is published under a CC0 1.0 license on the figshare platform.

Use Cases

• Classifying single-target identification events based on EEG signals.
• Detecting multi-target identification patterns from rapid serial visual presentation (RSVP) trials.
• Training models to recognize P300 event-related potentials in a forensic scenario context.
• Benchmarking machine learning algorithms for EEG-based biometric or cognitive state recognition.

Strengths

• Dataset is explicitly designed for a specific, applied neuroscience use case (eyewitness identification).
• Published under a permissive CC0 1.0 public domain license.
• Last update date is March 22, 2026, suggesting recent activity.

Limitations

• The dataset size is listed as 0.0 B, indicating limited scope or that the actual data files may not be present.
• Column-level documentation and sample data are unavailable, making field semantics and structure unknown.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare, authored by Yimin Li.

Collection Method

Likely collected via EEG recordings during Rapid Serial Visual Presentation (RSVP) experiments simulating criminal investigation scenarios.

Time Range

null

Freshness

Last updated 2026-03-22 06:36:47.

Geography

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