Mineral Resources

The project objective is to provide follow-up geophysical ground data acquisition and interpretation for areas involving Precambrian geologic settings in the Upper Midwest and Rocky Mountains. The project is designed fill gaps and to complement the high-quality aeromagnetic acquired during the USGS Earth Mapping Resources Initiative (Earth MRI).

This Project integrates several geochemical tools—stable isotope geochemistry, noble gas geochemistry, active gas geochemistry, single fluid inclusion chemistry, and fluid inclusion solute chemistry—in studies of the processes that form mineral deposits and the processes that disrupt them during mining or natural weathering. Research is directed toward fundamental scientific questions or, in...

The Midcontinent Rift system and surrounding Precambrian rocks are known to host highly significant mineral resources. Our project objectives are to increase understanding of this system through the integration of new and legacy geophysical data with geochemical and borehole data, map the lithology and structure of PreCambrian rocks, and develop an integrated 3D geologic model of the region.

Understanding the genesis of ore deposits and their behavior in the environment is a subject of great importance to the Nation. A relatively new tool to aid in these efforts to investigate the origin and environmental effects of ore deposits is the use of "heavy" metal stable isotopes. Our research objectives are to utilize various isotopic systems to advance our understanding of ore genesis and...

Critical elements are essential to the modern economy and have potential supply chain disruptions, but compared to most base and precious metals, little work has been done in understanding ore-grade enrichments. Carbonatites are the primary source of the worlds light rare earth elements and niobium, and a potential source for heavy rare earths, scandium, tantalum, and thorium. Project objectives...

The objective of this project is to use high-resolution state-of-the-art airborne and regional ground geophysical methods to map an underexplored region of the southern Midcontinent that is important to economic and critical mineral deposits.

This project supports the USGS argon geochronology laboratory in Denver. The USGS 40Ar/39Ar geochronology laboratory is a state-of-the-art research facility for determining absolute ages of minerals and rocks. The 40Ar/39Ar laboratory contributes critical geochronology to individual USGS research projects and to partners in academia and other Federal agencies. This laboratory develops methodology...

We support the geospatial component of Mineral Resources Program research and provide public access to research results and geospatial information. We facilitate all aspects of the data life cycle, including the publication and archiving of geospatial information and products. We also develop and steward national-scale data layers considered foundational to the Mineral Resources Program as well as...

This project is focused on the sediment-hosted copper deposits of the Midcontinent Rift, with three main objectives: 1) describe the ore mineralogy and geochemistry of the White Pine and Copperwood deposits, 2) evaluate whether hydrothermal alteration in footwall rocks can be used as a vector towards ore, and 3) provide a careful scoping study to evaluate whether unconventional platinum-group...

The purpose of this project is to update the current gridded products created from the North American airborne gamma ray spectrometry data using new statistical techniques to analyze spatial data and to create higher quality national airborne radiometric grids.

The purpose of this project is to trace the lithium (Li) geochemical cycle in the Great Basin, with an emphasis on the pathways that lead to the development of lithium clay and brine resources.

The overall project objective is a comprehensive analysis of the natural and anthropogenic consequences of extensive ore and trace mineralization in the southern midcontinent of the U.S. with a focus on Missouri. This will be conducted at two scales: 1) landscape and 2) process-level. 1) Landscape scale using geospatial and machine learning techniques to combine multiple geochemical and geologic...