Reconstructing regional carbonate compensation depth variability in the Pacific Ocean since the Oligocene to understand deep-sea carbon cycling.
Plate tectonic reconstructions and machine learning show that subducting seafloor anomalies promote porphyry copper deposit formation.
Machine learning reveals that the volume and angle of subducted oceanic plates control where and when diamond-bearing kimberlite eruptions occur.
GPlately: a Python interface for deep-time spatio-temporal data analysis using pyGPlates, simplifying plate tectonic reconstructions.