This dataset contains data for the plots in Figures 3 and 4 in the article: Effective rheology across the fragmentation transition for sea ice and ice shelves, Åström, and D.I. Benn, GRL, 2019. The data is produced with the numerical simulation code HiDEM, which is an open source code that can be found at: https://github.com/joeatodd/HiDEM. The data plots in the paper contain the data used as benchmarks for testing the reliability of the simulations (Fig.3), and the main results (Fig. 4), the effective rheology of sea ice across the fragmentation transition. Funding was provided by the NERC grant NE/P011365/1 Calving Laws for Ice Sheet Models CALISMO.

This dataset contains floe-scale fragmentation data derived from high-resolution satellite imagery from the USGS Global Fiducials Library. Individual sea ice floes were identified and tracked before and after fragmentation to study the fragmentation processes. The dataset includes floe-scale images, segmentation masks, and floe parameters. It can be used to investigate the fragmentation of Arctic sea ice during the spring breakup and summer melt seasons. The dataset was produced by the University of Huddersfield team. NERC standard grant NE/V011693/1.