Soil Property Correlation Coefficients for Loess Compressibility

A 5.5 KB statistical table presents correlation coefficients for selected soil properties. The data, authored by Zhi Liu, focuses on loess compressibility parameters and related mechanical properties. It was last updated in March 2026.

Use Cases

• Analyze correlation coefficients between loess compressibility parameters and other mechanical parameters.
• Use the correlation matrix as input for Random Forest or MLP models predicting soil compressibility modulus.
• Investigate the relationship between core input indicators and error metrics priority for engineering classification.

Strengths

• Data is openly licensed under CC BY 4.0.
• Focuses on specific study areas in Huocheng and Xinyuan Counties, Xinjiang.
• Includes tags referencing advanced analytical methods like Random Forest and SVM classification.

Limitations

• The dataset is very small at only 5.5 KB, indicating limited scope.
• No column names or sample data are provided, making structure and content unclear.
• The row count is unknown, preventing assessment of statistical power.

Provenance

Source

figshare

Freshness

Last updated March 2026.

Geography

Huocheng and Xinyuan Counties, Xinjiang, China