These cards index monographs and journal articles on, and references to, geological formations, rock types, and mineral deposits in New South Wales. The cards are arranged alphabetically by geological
The original data of trace elements of pyrite in the study of discrimination of gold deposit types based on big data analysis and machine learning techniques. Detailed data sources can be found in Tab
There are more than 42,000 entries in the USGS Mineral Resources Data System (MRDS) for the State of California. Previously, the field for deposit type was sparsely populated, which made it difficult
Dataset for "Discriminating Scheelite Deposit Types Using Interpretable Ensemble Learning: A Case Study from the Xuefengshan Au-Sb-W Belt, South China"