45 thin section images were analyzed to produce population-level morphometric statistics. The dataset includes central tendency measures, sorting parameters, and shape characteristics. Sofia Kouki published the summary statistics on figshare in May 2026.
Use Cases
- Compare central tendency measures across different thin sections.
- Analyze sorting parameters to assess uniformity of features.
- Evaluate shape characteristics for morphological classification.
- Perform statistical analyses using pre-calculated summary statistics.
Strengths
- Dataset is small (34.7 KB), facilitating quick download and inspection.
- Statistics are derived from 45 distinct images, providing a multi-sample basis.
- Data is openly licensed under CC-BY-4.0, allowing for reuse.
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
- figshare
- Collection Method
- Population-level statistics calculated from thin section images.
- Freshness
- Last updated 2026-05-21 17:35:02; freshness should be verified.