Infant EEG Relative Power and Coherence Data from a Longitudinal Study

Infant Relative Power and Coherence Data is a 3.7 MB CSV dataset posted on figshare on 2026-05-18. The data was authored by Riley C. Elmer, Matthew Bergosh, Nushka Remec, Pierre Corvilain, Ran Xiao, and Beth A. Smith, who is the corresponding author. It contains EEG relative power and coherence measures recorded during resting state and reaching tasks from a longitudinal infant study.

Use Cases

• Analyzing developmental trajectories of brain connectivity based on EEG coherence measures mentioned in the description.
• Modeling the relationship between resting-state brain activity and motor task performance in infants.
• Training classifiers to identify EEG patterns associated with different behavioral states (resting vs. reaching).
• Comparing relative power spectral density across different time points in a longitudinal study design.

Strengths

• Dataset is openly available under a CC-BY-4.0 license, facilitating reuse and sharing.
• Data is associated with a specific, cited longitudinal infant study, providing research context.
• File size is 3.7 MB, indicating a manageable download and processing scale.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely collected via EEG recordings during infant resting state and reaching tasks.

Freshness

Last updated 2026-05-18 18:31:59; freshness should be verified.