Fracture Network Clusters Characterized by Entropy Across Percolation Regimes

Entropy-Based Characterization of Fracture Network Clusters Across Percolation Regimes is a dataset by Sivaji Lahiri, last updated on May 1, 2026. It likely contains data on fracture network clusters analyzed using a cluster-entropy metric to capture structural disorder. The dataset is 29.0 MB in size and is available under a CC-BY-4.0 license.

Use Cases

• Predicting percolation thresholds based on cluster-entropy trends
• Analyzing the relationship between network connectivity and permeability
• Studying the impact of network geometry on structural disorder

Strengths

• Dataset size is 29.0 MB, indicating a substantial amount of data
• Uses a novel cluster-entropy metric as described in the summary

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Sivaji Lahiri via figshare

Freshness

Last updated 2026-05-01 05:21:19