Per-Grain Morphometric Measurements for 13,818 Particles

Sofia Kouki's dataset provides morphometric measurements for 13,818 individual grains detected across 45 thin section images. The data includes size parameters such as Feret diameter, area, and perimeter, as well as shape parameters like circularity, elongation, and aspect ratio. It was last updated on May 21, 2026.

Use Cases

• Classify grain types based on size and shape parameters mentioned in the description
• Train models to predict sediment transport properties from morphometric features
• Analyze correlations between grain elongation and geological formation processes
• Benchmark image segmentation algorithms on thin-section particle detection
• Validate statistical distributions of particle size and circularity in granular samples

Strengths

• Contains measurements for 13,818 individual grains, providing a substantial sample size
• Derived from 45 thin section images, offering multiple source samples
• Includes both size (Feret diameter, area, perimeter) and shape (circularity, elongation, aspect ratio) parameters

Limitations

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

Provenance

Source

figshare

Collection Method

Likely derived from analysis of thin section images.

Freshness

Last updated 2026-05-21 17:35:01