A 5.5 KB Excel file published on figshare in May 2026 by Feilong Qin. It contains a load matrix derived from factor analysis applied to geochemical data from the Jiguanzui copper-gold mining area in China. The data was used to design and test a FACA model for deep mineral prediction.
Use Cases
- Training mineral prediction models based on factor analysis-derived element combinations.
- Identifying thresholds for geochemical anomalies based on the concentration-area (C-A) model.
- Validating spatial anomaly detection algorithms against known ore body distributions.
- Analyzing correlations between geochemical elements for resource exploration.
Strengths
- The dataset is openly licensed under CC-BY-4.0.
- It is associated with a specific, documented application in the Jiguanzui mining area.
- The file format (XLS) is widely accessible.
Limitations
- The dataset is very small (5.5 KB), indicating limited scope.
- Row count and column-level documentation are unknown.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- figshare
- Collection Method
- Factor analysis (FA) applied to geochemical data, combined with a concentration-area (C-A) model.
- Freshness
- Last updated 2026-05-08 17:30:21; freshness should be verified.
- Geography
- Jiguanzui copper-gold mining area in China.