Correlation Matrix for Abdominal Expansion and Respiratory Variables, N=50

50 patient records form a correlation matrix between abdominal inspiratory expansion and clinical respiratory variables. The dataset, authored by Francisco José Vera-Serrano and last updated in April 2026, contains Pearson's correlation coefficients with statistical significance indicators. It is a small, focused dataset for analyzing baseline relationships in respiratory function.

Use Cases

• Identify statistically significant relationships between abdominal expansion and spirometric performance based on the correlation matrix.
• Benchmark clinical measures against abdominal inspiratory expansion for patient assessment.
• Analyze the correlation of thoracic expansion and lumbar mobility with respiratory variables.

Strengths

• Includes statistical significance indicators (p<0.05) for correlations.
• Focuses on a specific, measurable relationship (abdominal inspiratory expansion) with 50 baseline observations.

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, author Francisco José Vera-Serrano

Collection Method

Likely contains clinical measurements and calculated correlation coefficients.

Time Range

Baseline data collection time is unspecified.

Freshness

Last updated 2026-04-03 17:36:08; freshness should be verified.

Geography

Spatial coverage is unspecified.