Hansbreen velocity is measured with a Global Navigation Satellite Systems (GNSS) receiver that sampled location every 3 hours at stake 4MONIT located approximately 3.5 km upstream of the glacier terminus (N77°02’ E15°28’). Monitoring of the glacier is conducted by Institute of Geophysics Polish Academy of Science. We calculate the daily speed based on each midnight positions (with a horizontal accuracy of ±4 cm).

Air temperature is provided by AWS 4 (N77°02' E15°38', 183 m). Air temperature comes from a Campbell Scientific 107 sensor at +/- 0.1° C resolution and sampled every 10 minutes, averaged to daily resolution in post-processing.

Hansbreen velocity along the center line (stakes 2 to 11) is measured with a Global Navigation Satellite Systems (GNSS) receiver and were manually recorded weekly for stakes 2 through 5, and monthly for stakes 6 through 11, dependent on weather conditions. Monitoring of the glacier is conducted by Institute of Geophysics Polish Academy of Science. The minimum observation times at those stakes is between 20 and 30 minutes. Total error, taking into account GNSS receiver, stake tilt, and human factor is estimated at 20 cm.

Dataset contains evolution of the snow temperature within seasonal snowpack on Hansbreen. Fieldwork has been performed with several thermistors located at different levels (from snow surface to the bottom, on glacier ice) from April to July 2010 (during period of early and intensive surface melting). Study has been repeated in 2015, at the same location. Acknowledgements: Research Council of Norway, Arctic Field Grant 2013: Spatial distribution of snow cover and drainage systems on the glaciers on Wedel Jarlsberg Land (RiS ID: 6158); the National Science Centre PRELUDIUM 4: Role of meltwater from snow cover for supplying drainage systems of the Spitsbergen glaciers (2012/07/N/ST10/03784) References: Laska M., Luks B., Budzik T., 2016. Influence of snowpack internal structure on snow metamorphism and melting intensity on Hansbreen, Svalbard. Polish Polar Research, 37(2): 193–218. doi:10.1515/popore-2016-0012

Dataset contains location of glacial shafts (moulins) on two polythermal glaciers: Werenskioldbreen and Hansbreen. Fieldwork has been done with GPS device at the end of ablation season in 2015. Acknowledgements: Research Council of Norway, Arctic Field Grant 2013: Spatial distribution of snow cover and drainage systems on the glaciers on Wedel Jarlsberg Land (RiS ID: 6158); the National Science Centre PRELUDIUM 4: Role of meltwater from snow cover for supplying drainage systems of the Spitsbergen glaciers (2012/07/N/ST10/03784)

A snowpit analysis template developed during Hansbreen Snowpit Database preparation. Relying on the enclosed files will enable the efficient use of the Interactive Snow Profile Visualizer niViz software (https://niviz.org) and achieve interoperable final products. ZIP catalogue contains the following filenames extensions: A) PDF – used to print table template on a waterproof paper (A4 or A5 format) and provide collecting the complete range of data during fieldwork; B) XLS – used for data archiving. Contained formulas automatically calculate the thickness and water equivalent of subsequent snow layers. All information regarding the snow data harmonization on Hansbreen is available in the journal article: Laska M., Luks B., Kępski D., Gądek B., Głowacki P., Puczko D., Migała K., Nawrot A., Pętlicki M. Hansbreen Snowpit Dataset – over 30-year of detailed snow research on the Arctic glacier. Scientific Data [in review] All collected data are available via the PANGAEA Data Publisher: Laska M., Luks B., Kępski D., Gądek B., Głowacki P., Puczko D., Migała K., Nawrot A., Pętlicki M. 2022: Hansbreen Snowpit Dataset: a long-term snow monitoring (1989–2021) in the unique field laboratory (SW Spitsbergen, Svalbard). PANGAEA, https://doi.org/10.1594/PANGAEA.942279

Inventory of tidewater glaciers delineated from archival satellite images (Aster, Landsat) acquired in the period 1999-2006. Shapefiles have basic information in the attribute table (name, ID, area, length, front type of tidewater glaciers). When a tidewater glacier has a compound basin, only that part of it feeding the calving front was taken into consideration and presented here as the tidewater glacier. This implies that tributary glaciers clearly separated from the main basin by moraines are not included in the database. Similarly, marginal sections of tidewater glaciers that terminate on land are not included in the Inventory. Detailed description of the source data and accuracy can be found in: Błaszczyk M., Jania J., Hagen J.O. 2009: Tidewater glaciers of Svalbard: Recent changes and estimates of calving fluxes. Polish Polar Research, 30(2): 85-142. http://www.polish.polar.pan.pl/ppr30/PPR30-085.pdf

Meteorological data from Flat Glacier (Flatbreen) - air temperature.

Dataset contains surface elevation along spring GPR profiles performed on Hansbreen and Werenskioldbreen. Fieldwork has been done with dGPS device in kinematic mode at the end of ablation season in 2013 and 2015 to compare it with spring GPR survey and calculate surface ablation. Acknowledgements: Research Council of Norway, Arctic Field Grant 2013: Spatial distribution of snow cover and drainage systems on the glaciers on Wedel Jarlsberg Land (RiS ID: 6158); the National Science Centre PRELUDIUM 4: Role of meltwater from snow cover for supplying drainage systems of the Spitsbergen glaciers (2012/07/N/ST10/03784)

The dataset contains processed GPR profiles taken on the southern slope of Fugleberget and the western part of the Hansbreen lateral moraine (S Spitsbergen). The profiles were made on April 26, 2014 (Profile 2 and Profile 3) and May 15, 2014 (Profile 1, Profile 4 and Profile 5) using Malå GeoScience CUII impulse radar system with an RTA-type antenna and a center frequency of 30 MHz. In April, the GPR set was pulled behind a snowmobile at a constant speed not exceeding 20 km/h, while in May the set was pulled by an operator moving on skis. A time trigger with an interval of 0.2s was used, which resulted in the distances between the traces ranging between 0.9 m (April) and 0.1 m (May). Profiles differ in terms of the time window (between 766 and 1317 ns). The presented GPR profiles have been processed using the following filters: DC removal, time zero adjustment, mean trace subtraction, bandpass filtering. The profiles were not subjected to topographic correction.