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Data were derived from a time-series of point clouds of ice-margin topography. The point clouds were generated at 24 hour to 28 day intervals by using Structure-from-Motion techniques to process discrete image sets acquired from between 7-15 time-lapse cameras. Successive point clouds were co-registered and differenced to quantify calving properties. Classification of calving mechanisms was based on geometric changes at the ice-margin, interpretation of camera imagery pre- and post-calving, and existing calving categorisations. Full details of camera installation and point cloud processing are included in the following:&#xD;
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Mallalieu et al. 2017 An integrated Structure-from-Motion and time-lapse technique for quantifying ice-margin dynamics. Journal of Glaciology, 63(242), 937-949. doi:10.1017/jog.2017.48&#xD;
&#xD;
Mallalieu, J., Carrivick, J. L., Quincey, D. J., &amp;amp; Smith, M. W.. (2020). Calving seasonality associated with melt-undercutting and lake ice cover. Geophysical Research Letters, 47, e2019GL086561. https://doi.org/10.1029/2019GL086561
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&#xD;
Resolution: Point cloud densities range from 18-37 pts m2
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