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Dryad

Data from: Cornerstones are the key stones: Using interpretable machine learning to probe the clogging process in 2D granular hoppers

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Jul 16, 2025 version files 17.41 GB

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Abstract

This dataset contains the information recorded for approximately 50,000 hopper flows under varying conditions. Each file represents a single flow event, from beginning of flow to final clog forming. The files are matlab structures, containing the positions, radii, frame number, tracked particle ID's and velocities for every grain in the camera field of view throughout the flow. Other values, such as the position of the outlet and the total mass ejected during the flow are also included.