X-ray computed tomography data provides a non-destructive 3D view of the internal structure of a specific igneous rock core. The dataset was authored by Scott Eckley and harvested from the Texas Data Repository into the Dataverse platform. It was last updated on March 18, 2024.
Use Cases
- Segmenting mineral phases and pore spaces based on 3D density contrasts.
- Training models for automated rock texture classification based on internal structure.
- Simulating fluid flow or mechanical properties based on the 3D pore network geometry.
- Comparing internal heterogeneity across different rock core samples.
Strengths
- Data is from X-ray computed tomography, a non-destructive 3D imaging technique.
- The dataset is specifically for a named igneous rock core sample, TJ 75C.
- Last update was recorded as March 18, 2024, indicating recent platform activity.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file size are unknown, which may limit suitability assessment.
- The description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Texas Data Repository Harvested Dataverse
- Collection Method
- X-ray computed tomography scanning of a physical rock core sample.
- Time Range
- null
- Freshness
- Last updated 2024-03-18 09:45:55; freshness should be verified.
- Geography
- null