Unconfined Compressive Strength of MICP-Treated Sand for 443 Lab Tests

443 unconfined compressive strength test results compiled from laboratory experiments and literature for microbially induced calcite precipitation (MICP)-treated sand. The dataset, created by Jamal Ahmad and last updated in May 2026, includes geotechnical, biological, and chemical input parameters to benchmark machine learning models for UCS prediction.

Use Cases

• Benchmarking machine learning models like DNN, RF, and SVR based on the described input parameters for UCS prediction.
• Analyzing the influence of calcium carbonate content and treatment cycles on soil strength based on SHAP analysis results mentioned in the description.
• Training models to predict unconfined compressive strength based on features like mean grain size, uniformity coefficient, and urease activity.

Strengths

• Contains 443 UCS test results, providing a substantial basis for model training.
• Includes multiple input parameter categories: geotechnical, biological, and chemical.
• Model performance was assessed using multiple metrics including MAE, RMSE, R², and extended robustness metrics.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect experimental bias inherent to the compiled laboratory and literature sources.

Provenance

Source

figshare

Collection Method

Compiled from laboratory experiments and literature.

Freshness

Last updated 2026-05-05 07:40:03; freshness should be verified.