Spearman Correlation Coefficients Between Geometric Variables and Simulation Outputs

José Alonso Solís-Lemus published a dataset containing Spearman correlation coefficients between geometric variables and simulation outputs, with associated p-values and significance levels. The dataset is 2.3 KB in size and was last updated on June 2, 2026. It is available under a CC-BY-4.0 license.

Use Cases

• Identify key geometric drivers of simulation outcomes based on correlation coefficients.
• Assess the statistical significance of relationships between variables using the provided p-values.
• Rank the influence of different geometric features on simulation results.
• Validate simulation models by comparing expected correlations with observed data.

Strengths

• Dataset is small (2.3 KB), facilitating quick download and inspection.
• Includes p-values and significance levels for each correlation coefficient, supporting statistical rigor.
• Available under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

José Alonso Solís-Lemus via figshare

Collection Method

Likely derived from computational simulations.

Freshness

Last updated 2026-06-02 17:40:02; freshness should be verified.