Correlation Matrix of Abdominal Expansion and Respiratory Variables for 50 Subjects

50 subjects' baseline data correlating abdominal inspiratory expansion with clinical and respiratory variables. The dataset is a correlation matrix showing Pearson's coefficients, with significant correlations highlighted. It was authored by Francisco José Vera-Serrano and last updated in April 2026.

Use Cases

• Identify significant relationships between abdominal expansion and spirometric performance based on the correlation matrix.
• Analyze clinical correlations for respiratory measures like thoracic expansion and lumbar mobility.
• Validate statistical models of respiratory function using baseline clinical data.

Strengths

• Correlation coefficients are provided for 50 subjects.
• Statistically significant correlations (p < 0.05) are explicitly highlighted.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely collected from a clinical study, as inferred from the description of baseline variables.

Time Range

Baseline data collection period is not specified.

Freshness

Last updated 2026-04-03 17:36:10; freshness should be verified.

Geography

Geographic coverage is not specified.