“…Foremost is the modern context it provides for new applications of existing methods (e.g., interpretation of new seismic, gravity or magnetic data sets), evaluation of aerogeophysical data sets beyond those we considered, or tracing the provenance of offshore sediments (e.g., White et al., 2016). Another application could be exploring relations between these apparent province boundaries and other subglacial properties of geophysical, glaciological, geomorphological or geochemical interest, such as geothermal heat flow (Jones et al., 2021), bedrock erodibility (Campforts et al., 2020), basal friction (Maier et al., 2022), drainage history (Jess et al., 2020; Keisling et al., 2020), or isotope geochemistry (Briner et al., 2022; Colville et al., 2011). While our results were based on conventional manual delineation of province boundaries and interpretation, machine learning techniques could also be applied to reveal such structures with reduced influence from expert biases (e.g., Colgan et al., 2022; Li et al., 2022; Rezvanbehbahani et al., 2017).…”