Geochemical Element Contents for Copper-Gold Mineral Prediction in China

Feilong Qin's dataset contains geochemical element contents used to design and test a FACA model for deep mineral prediction. The data was applied to the Jiguanzui copper-gold mining area in China, with results predicting a new ore body at a depth of approximately 1120m to 1150m. The dataset is 5.5 KB in size, stored in XLS format, and was last updated on 2026-05-08.

Use Cases

• Predicting deep mineral deposits based on geochemical element combinations.
• Identifying thresholds for geochemical anomalies using concentration-area (C-A) modeling.
• Testing factor analysis (FA) methods for extracting comprehensive element information.
• Validating geochemical anomaly distributions against theoretical and actual ore body locations.

Strengths

• Data is directly linked to a published methodological paper describing the FACA model.
• Specific application to a real mining area (Jiguanzui copper-gold) with a predicted ore body depth range (1120m-1150m).
• Available under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope or a highly focused sample.

Provenance

Source

Feilong Qin via figshare.

Collection Method

Likely contains geochemical survey data analyzed using factor analysis (FA) and concentration-area (C-A) modeling.

Time Range

null

Freshness

Last updated 2026-05-08 17:30:15; freshness should be verified.

Geography

Jiguanzui copper-gold mining area in China.