Sex Differences in Global Brain Metrics Across the Lifespan with Effect Size Data

Data Sheet 1 by Samuel N. Vucic, last updated March 2026, aggregates effect size measures for sex differences in brain metrics. It includes data from over 148,000 individuals, combining prenatal ultrasound, postnatal head circumference, and structural MRI measurements from ages 5 to 89 years. The dataset quantifies differences in head circumference, cortical surface area, cortical thickness, and cortical volume using Cohen's d.

Use Cases

• Modeling the trajectory of sex differences in brain size based on effect size data across age groups.
• Analyzing the relationship between head circumference and cortical volume differences based on the described metrics.
• Investigating the stability of sex-based effect sizes in cortical surface area from childhood to adulthood.
• Benchmarking neurodevelopmental disorder data against the described healthy population curves.

Strengths

• Aggregates data from a large population of over 148,000 individuals.
• Covers a wide age range from 14 weeks prenatal to 89 years old.
• Provides quantified effect size measures (Cohen's d) for multiple brain metrics.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (1.4 MB), suggesting it contains summary statistics rather than raw individual-level data.

Provenance

Source

Samuel N. Vucic via figshare.

Collection Method

Data drawn from literature and large-population-based studies, including prenatal ultrasounds, postnatal measurements, and structural MRI.

Time Range

Covers developmental stages from 14 weeks prenatal to 89 years old.

Freshness

Last updated 2026-03-18 07:42:20; freshness should be verified.