Dry laboratories (dry labs) are laboratories dedicated to using and creating data (they are
data-centric). Several aspects of the minerals industry (eg, exploration, extraction and …

Demand for critical raw materials is expected to accelerate over the next few decades due to
continued population growth and the shifting consumption patterns of the global economy …

This study intends to showcase the application of Extreme Gradient boosting (XGboost), a
state-of-the-art ensemble-learning technique, for district-scale mineral potential mapping …

In geospatial data interpolation, as in mapping, mineral resource estimation, modeling and
numerical modeling in geosciences, kriging has been a central technique since the advent …

Remote sensing data is a cheap form of surficial geoscientific data, and in terms of veracity,
velocity and volume, can sometimes be considered big data. Its spatial and spectral …

The Xiadian orogenic deposit with~ 100 t of gold resources, located in the Jiaodong
Peninsula, Eastern China, shows an economically attractive gold mineralization that is …

The determination of ore genesis is a main challenge in ore deposit research. Advanced
and rapid analytical techniques have given rise to the accumulation of massive amounts of …

In this study, we present a machine learning-based method to predict trace element
concentrations from major and minor element concentration data using a legacy …

Mineralization distribution is spatially heterogeneous and jointly controlled by multiple ore-
controlling factors. Given this ubiquitous feature, we integrated the attention mechanism of …

Geochemical surveys contain an implicit data lifecycle or pipeline that consists of data
generation (eg, sampling and analysis), data management (eg, quality assurance and …