Damià Benet, Fidel Costa, Kévin Migadel, Daniel W. J. Lee, Claudia D’Oriano, Massimo Pompilio, Dini Nurfiani, Hamdi Rifai
Volcanic ash is made of particles smaller than 2 mm and is produced during volcanic eruptions. Studying the properties of volcanic ash is key for a range of applications, including volcano monitoring. However, given the large variety of textures, colors, and shapes of particles from different eruptions and volcanoes it is challenging to classify them in a reproducible and systematic manner. Here, we present an open access repository-hosted dataset of 11,808 particles from 53 samples across 13 volcanoes. Particle data includes optical microscope images, physical characteristics of the shape, texture and color, and a classification label with the particle type (free-crystal, altered material, juvenile or lithic). The dataset has already been used to develop particle classifiers with Machine Learning. We plan to continue it to grow and encourage the volcano community to contribute towards standardizing volcanic ash classification. © The Author(s) 2025.
Institut de Physique du Globe de Paris, Université Paris Cité, Paris, France; Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore; Asian School of the Environment, Nanyang Technological University, Singapore, Singapore; Lamont-Doherty Earth Observatory, Columbia University, New York, NY, United States; Istituto Nazionale di Geofisica e Vulcanologia, sezione di Pisa, Pisa, Italy; National Research and Innovation Agency (BRIN), Bandung, Indonesia; Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Padang, Indonesia
