10.1594/PANGAEA.987383Wong, Carmen Hau ManCarmen Hau ManWong0000-0002-4880-496XUniversity of GothenburgHeuzé, CélineCélineHeuzé0000-0002-8850-5868University of GothenburgPANGAEA2025Arctic sea icePolynyasea ice-atmosphere interactionsIdentificationDATE/TIMELATITUDELONGITUDEnetCDF filenetCDF file (File Size)File contentSatellite remote sensing1978-11-01T00:00:00/2024-04-30T00:00:00Dataset10.5194/tc-19-6043-202510.1175/JCLI-D-25-0312.110.5067/MPYG15WAA4WX10.5194/tc-8-439-201410.5194/tc-13-675-201912 data pointstext/tab-separated-valuesCreative Commons Attribution 4.0 InternationalThis dataset provides four daily Arctic polynya masks derived from two satellite sea ice products. The products used are (1) the daily sea ice concentration (SIC) dataset from the National Snow and Ice Data Center (DiGirolamo et al., 2022; for years 1978–2024) and (2) the daily thin ice thickness (SIT) dataset from the University of Bremen Sea Ice Remote Sensing Group (SMOS and SMOS/SMAP Thin Ice Thickness, Huntemann et al., 2014 and Paţilea et al., 2019; for years 2012–2024). The study region covers the Arctic Ocean 65° - 90°N. Two wintertime study periods are included, corresponding to two research articles (Wong, C H M et al., 2026; Heuzé, C & Wong, C H M, in 2025). Polynya thresholds are defined as 50% for SIC and 20 cm for SIT. Details of the full polynya detection method are provided in Wong, C H M et al. (2026).0.090.0ArcticSwedish National Space Agencyhttps://doi.org/10.13039/5011000018592022-00149Mapping Arctic polynyas from space (MAPS)Swedish Research Councilhttps://doi.org/10.13039/5011000043592022-06725_VRNational Academic Infrastructure for Supercomputing in Sweden (NAISS)