The navigation data of the Amundsen scientific expeditions between 2003 and 2019 were recorded with the Position and Orientation Systems for Marine Vessels (POS-MV) and C-Nav Differential Global Navigation Satellite System (DGNSS) Precise Point Positioning systems. Two sets of controlled data are provided for each year of expedition. The first set is at time intervals of seconds for every day of the cruise and the second set is at 15 minute intervals. The data consist of Latitude, Longitude, Heading, Roll, Pitch, Heave, Track, Speed and Global Positioning System (GPS) sources at the second time intervals. The vessel's tracks in .kml (Google Earth format) were derived from the 15 minute time intervals dataset and are also provided. Research programs participating in the Amundsen expeditions between 2003 and 2017 were CASES, ArcticNet, IPY-CFL, Solas, Geotraces, Malina, IOL and BP, Jamstec, Netcare, Weston, BREA, iBO and GreenEdge.

Sea ice drift data were obtained from an array of ten ice beacons and one ice mass balance buoy launched from the CCGS Amundsen in the marginal ice zone of the southern Beaufort Sea in September, 2009. From this array, four triangular configurations were selected, hereinafter referred to as triplets A to D, to monitor sea ice deformation with initial inter-beacon distances of approximately 11, 11, 11.5, and 7 km for the shortest leg, and 15, 37, 11.5, and 12.5 km for the longest leg, respectively. Triplets A to D were deployed on multiyear ice (MYI) and labeled according to their proximity to the continental coastline, with Triplet A located closest to the coastline and then sequentially further away through to Triplet D. Position coordinates were available for all beacons in: Triplet A until October 6th; Triplet B until November 4th; Triplet C until November 25th, and Triplet D until November 3rd, yielding time intervals with durations of 28, 56, 77, and 59 days, respectively.

A data collection program was carried out between October 2015 and September 2017 to monitor the thinning and overall deterioration of "Petermann Ice Island (PII)-A-1-f". This large, tabular iceberg was a fragment of the 2012 Petermann Glacier calving event. Four field teams visited the ice island, and a stationary ice penetrating radar (sIPR) was installed on PII-A-1-f in October 2015 while the large, tabular iceberg was grounded near Qikiqtarjuaq, NU. The instrument was designed by Blue Systems Integration, Ltd. and was installed during the annual ArcticNet research cruise on board the CCGS Amundsen. It collected the first field dataset of ice island thinning, and along with surface ablation observations, the data were used to calibrate a forced-convection basal ablation model. Mobile IPR data were repeatedly collected over 2.4 km to assess the spatial variation in thinning and assess how well the sIPR measurements represented the conditions elsewhere on the ice island. Auxiliary data included photos, ablation stake measurements, sonic ranger recordings, air temperature measurements, GPS locations, and RADARSAT-2 synthetic aperture radar (SAR) imagery. The latter were collected to monitor the surface areal extent of the ice island. The dataset contains: IPR measurements (.h5), GPS data collected along the mIPR transect (.csv), image files of ablation stakes (.jpg), air temperature data, sonic ranger measurements, and GPS positions of the weather station (.csv), georeferenced Fine-Quad (8 m nominal resolution) RADARSAT-2 SAR images (.tif) and polygon shapefiles delineating the areal extent (.shp).

Triplicate aerial-photo and LiDAR surveys of two iceberg sails were conducted to evaluate the capability of each technique to detect iceberg or ice island deterioration. This evaluation lays out how the spatial pattern and rate of iceberg deterioration could be measured with repeat surveys. 3D representations of the iceberg sails were generated from the aerial-photo surveys with the structure-from-motion (SfM) processing method as well as directly from the LiDAR data. The SfM data was scaled using GPS markers deployed on the icebergs prior to surveying and these were also used to correct the LiDAR data for iceberg drift. Scripts which were written for drift correction are included with the data. Alternative drift correction workflows can be developed and tested with the uncorrected data. The GPS data, some of which extends after the surveying was complete, can be utilized for drift analyses and drift model improvement. The dataset contains: image files from aerial-photo surveys (.nef and .tif), LiDAR point clouds (.txt files with lat/lon/elevation/timestamp) pre-and post-drift correction, INS (inertial navigation system) data (.txt files), GPS tracks (.csv files with lat/lon/elevation/timestamp), GPS error and PPP (Precise Point Positioning) output (.csv files), and point cloud scaling information. This data was collected during a collaboration between Statoil ASA and ArcticNet which ran during Leg 1 of the 2015 research cruise on board the CCGS Amundsen.

Improved surface and bedrock DEMs have been produced for the Belcher Glacier using data from different sources, including in situ measurements, airborne soundings, and satellite images. Surface elevation is based on 2007 (late summer) SPOT5 HRS images. Bed elevation values are derived from surface-based ground penetrating radar soundings conducted during the 2007 and 2008 summer field seasons. Airborne radar surveys in 2000 and 2005 by the Scott Polar Research Institute and the Center for Remote Sensing of Ice Sheets, respectively, provide ice thickness data. By subtracting ice thickness from surface elevation using the surface DEM, bedrock elevation values are derived. Additional bedrock elevation data for the seafloor in front of the terminus of Belcher Glacier were obtained from a bathymetric survey in 2006 by workers from Memorial University of Newfoundland and the University of New Brunswick working off the CCGS Amundsen. A 40-m grid is used as a map base. Bed elevation values were found for each point on the grid by applying a kernel that weighted values of surrounding points by distance. After finding a suitable semivariogram model, statistical interpolation (kriging) was performed to fill in the rest of the grid points to produce the bedrock DEM. As a check, a 1999 Landsat panchromatic image was used to force bedrock elevation to equal surface elevation within the boundaries of rock outcrops and thus ensure that ice thickness is zero throughout.