Statistical Summary of Social Cognitive Task Variables in Animal Models

Jeanne Seressia published a dataset of means and standard deviations for variables recorded during three social cognitive tasks: gaze following, social buffering, and social discrimination learning. The data is presented by line (S+ and S-) and includes p-values indicating significant differences. The dataset is available on figshare under a CC-BY-4.0 license and was last updated on 2026-05-28.

Use Cases

• Compare performance metrics between S+ and S- conditions based on the reported means and standard deviations.
• Replicate statistical analyses of social cognitive tasks using the provided p-values for significant differences.
• Benchmark experimental results in gaze following, social buffering, or discrimination learning against the aggregated summary statistics.

Strengths

• Dataset provides statistical summaries (means ± standard deviations) for three distinct social cognitive tasks.
• Includes p-values that indicate significant (p ≤ 0.05) and non-significant differences between conditions.
• Data is openly available under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment for certain analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 17.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Data likely originates from controlled laboratory experiments on social cognition.

Freshness

Last updated 2026-05-28 17:27:14; freshness should be verified.