Correlation Matrix of Abdominal Expansion and Respiratory Variables for 50 Subjects

50 subjects form the basis of a correlation matrix between abdominal inspiratory expansion and clinical and respiratory variables. The dataset, authored by Francisco José Vera-Serrano, contains Pearson’s correlation coefficients with statistical significance highlighted. It was last updated on April 3, 2026.

Use Cases

• Identify significant relationships between abdominal expansion and spirometric parameters based on the correlation matrix.
• Analyze clinical correlations for respiratory measures mentioned in the description.
• Benchmark thoracic and abdominal expansion metrics against other clinical variables.
• Support statistical analysis of baseline respiratory data for a cohort of 50 subjects.

Strengths

• Correlation coefficients are provided for a cohort of 50 subjects.
• Statistical significance (p < 0.05) is explicitly highlighted in the data.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection 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 collected as part of a clinical or medical research study.

Time Range

Baseline data collection period is not specified.

Freshness

Last updated 2026-04 03 17:36:07.

Geography

Spatial coverage is not specified.