Pan-Canadian predictive model of Carbonatite-hosted REE and Nb deposits
A predictive model for Canadian carbonatite-hosted REE ± Nb deposits is presented herein. This model was developed by integrating diverse data layers derived from geophysical, geochronological, and geological sources. These layers represent the key components of carbonatite-hosted REE ± Nb mineral systems, including the source, transport mechanisms, geological traps, and preservation processes. Deep learning algorithms were employed to integrate these layers into a comprehensive predictive framework. Here is a link to the publication that describes this product: https://link.springer.com/article/10.1007/s11053-024-10369-7
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Date Created
2025-01-10
Date Published
2025-01-10
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2025-01-10 - 2025-01-10
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commodity, deposit, resource assessment, geochemistry, geochemistry, geochronology, geology, economic geology of metal ore deposits, economic geology, general--geology of deposits, geophysics, applied, geophysics, solid-earth, showing, lithology, mineral, critical mineral, minerals, petrology, igneous and metamorphic, petrology, sedimentary, advanced project, prospect, earth sciences, stratigraphy, geographic information system, minerals
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