Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica

• Main Author: Dye, Brian
• Format: Dataset
• Language: unknown
• Published: Mendeley 2020
• Subjects: Geology; FOS Earth and related environmental sciences; Artificial Intelligence; Volcanology; Volcanic Seismology; Machine Learning; Volcano; Volcanism; Volcanic Eruption; Lava Lake; Mount Erebus; Antarc*; Antarctica
• Online Access: https://dx.doi.org/10.17632/ycnjmkttj4; https://data.mendeley.com/datasets/ycnjmkttj4

Jupyter notebooks written in python to identify strombolian eruptions in infrared images in the Ray lava lake atop Mount Erebus in Antarctica and cross-correlate volcano seismic data from the strombolian eruptions. These notebooks are related to the research by Brian Dye and Gabriele Morra titled, &...