During the austral summer of 2015/16, a major international collaboration funded by the European Space Agency (ESA) and with in-kind contribution from the British Antarctic Survey, the Technical University of Denmark (DTU), the Norwegian Polar Institute (NPI) and the US National Science Foundation (NSF), acquired ~38,000 line km of aerogeophysical data. The primary objective of the POLARGAP campaign was to carry out an airborne gravity survey covering the southern polar gap of the ESA gravity field mission GOCE, beyond the coverage of the GOCE orbit (south of 83.5degS), however aeromagnetics and ice-penetrating radar data were also opportunistically acquired. This survey covers the South Pole and Recovery Lakes, as well as parts of the Support Force, Foundation and Recovery Glaciers. Our Twin Otter aircraft was equipped with dual-frequency carrier-phase GPS for navigation, radar altimeter for surface mapping, wing-tip magnetometers, an air-sea gravity meter, and a new ice-sounding radar system (PASIN-2). We present here the full radar dataset consisting of the deep-sounding chirp and shallow-sounding pulse-acquired data in their processed form, as well as the navigational information of each trace, the surface and bed elevation picks, ice thickness, and calculated absolute surface and bed elevations. This dataset comes primarily in the form of NetCDF and georeferenced SEGY files. To interactively engage with this newly-published dataset, we also created segmented quicklook PDF files of the radar data. NOTE: Please note that an issue with the floats in the NetCDF variable "UTC_time_layerData" has resulted in this variable having rounded up decimal numbers. In order to fix this issue, we advise users who need this variable to download the separately published bed pick data for the POLARGAP survey (doi: https://doi.org/10.5285/d55e87dd-a74d-4182-be99-93ab805103ab) and use the 'DateTime_YYYY-MM-DD_HH:MM:SS.S' column which is the same as the one used to produce the NetCDF.

This dataset contains bed and surface elevation picks derived from airborne radar collected during the POLARGAP 2015/16 project funded by the European Space Agency (ESA) and with in-kind contribution from the British Antarctic Survey, the Technical University of Denmark (DTU), the Norwegian Polar Institute (NPI) and the US National Science Foundation (NSF). This collaborative project collected ~38,000 line-km of new aerogeophysical data using the 150MHz PASIN radar echo sounding system (Corr et al., 2007) deployed on a British Antarctic Survey (BAS) Twin Otter. The primary objective of the POLARGAP campaign was to carry out an airborne gravity survey covering the southern polar gap beyond the coverage of the GOCE orbit. This dataset covers the South Pole as well as parts of the Support Force, Foundation and Recovery Glaciers. The bed pick data acquired during the POLARGAP survey over the Recovery Lakes is archived at NPI: https://doi.org/10.21334/npolar.2019.ae99f750.

This dataset consists of a bed DEM and four velocity maps of Kongsvegen, a surge-type glacier in Svalbard. The bed DEM was generated from ground-penetrating radar surveys in spring 2016 and 2018, and the velocity maps span the period Dec 2017 to Feb 2019. The velocity maps show the initial speed-up of the glacier as it transitions from quiescence to surge. Data acquisition was funded by NERC Urgency Grant NE/R018243/1 REBUS (Resolving Enthalpy Budget to Understand Surges).

This dataset captures information from GPS and Time-Depth Recorder (TDR) tracking of 221 chinstrap penguins from 4 sites at the South Orkney Islands (Cape Geddes at Laurie Island, Powell Island, Monroe Island and Signy Island). Monitoring was carried out during incubation and brood between the months of December and February from 2011 to 2016. GPS data are available at 4 minute intervals whilst birds are at the sea surface and dive data every second. Tags measured birds' foraging patterns to study the relationship between breeding stage and foraging distribution. This research was supported by the Darwin Plus, WWF and the UKRI/BAS Ecosystems Programme under ALI-Science.

This dataset contains detailed records of in-situ tracer percolation experiments conducted near Ny-Alesund, Svalbard, between 21st and 31st March 2023. For each of the ten snow pits and their respective one to three experiments, we report experiment specifications, temperature monitoring during the experiments, percolation results, and stable water isotope (SWI) signatures after the experiments. The records were obtained by Dorothea Moser as part of an experimental field project ("Wet Fingerprints"). The project was supported by an Arctic Field Grant through the Norwegian Research Council (Project No. 342165, Research in Svalbard RiS ID 12132). Dorothea Elisabeth Moser was supported by BAS Cambridge and the NERC C-CLEAR Doctoral Training Programme (grant no. NE/S007164/1).

This dataset contains detailed records of snowpack characteristics near Ny-Alesund, Svalbard, between 21st and 31st March 2023. They were recorded in ten snow pits before in-situ tracer percolation experiments, and the records include location and overview photos of each pit, snow height, snow temperature, snow density, detailed snow stratigraphy observations, and stable water isotope signatures from the snow surface to the ground. The records were obtained by Dorothea Moser as part of an experimental field project ("Wet Fingerprints") to contextualise the results of the subsequently conducted tracer percolation experiments. The project was supported by an Arctic Field Grant through the Norwegian Research Council (Project No. 342165, Research in Svalbard RiS ID 12132). Dorothea Elisabeth Moser was supported by BAS Cambridge and the NERC C-CLEAR Doctoral Training Programme (grant no. NE/S007164/1).

This dataset comprises Global Positioning System (GPS) data for chinstrap penguins, Pygoscelid antarcticus, at the South Orkney Islands (Signy, Monroe, Powell and Laurie island) from 2011 to 2019. Chinstrap penguins were fitted with GPS tags between December to January (austral summer) to better understand their movement for seabird conservation and management. The data includes GPS positions at specified intervals for deployed tags, with additional metadata on the morphology of the birds, their deployment, and breeding. Work was carried out by personnel at the British Antarctic Survey (BAS) and was funded by Natural Environment Research Council (UK) core funding to BAS. This is an updated version of a previous dataset. There have been additional tracks included with further quality control carried out.

This dataset comprises Time-Depth Recorder (TDR) tracks of chinstrap penguins, Pygoscelid antarcticus, at the South Orkney Islands (Signy, Monroe, Powell and Laurie Island) from 2011 to 2019. Chinstrap penguins were fitted with TDR tags between December to January (austral summer) to better understand their movement for seabird conservation and management. The data includes temperature and pressure at specified intervals for deployed tags, with additional metadata on the morphology of the birds, their deployment, and breeding. Work was carried out by personnel at the British Antarctic Survey (BAS) and was funded by Natural Environment Research Council (UK) core funding to BAS. This is an updated version of a previous dataset. There have been additional tracks included with further quality control carried out.

During the austral summer of 2012/13 a major international collaboration between Danish, US, UK, Norwegian and Argentinian scientists collected ~29,000 line km (equivalent to 464,317 km2) of aerogeophysical data over 132 hours of flight time and covering the previously poorly surveyed Recovery Glacier and Recovery Subglacial Lakes, as well as the area of Coats Land inboard from Halley VI using airborne survey systems mounted in Twin Otter aircraft. Our aircraft was equipped with dual-frequency carrier-phase GPS for navigation, radar altimeter for surface mapping, wing-tip magnetometers, an air-sea gravity meter, and an ice-sounding radar system (PASIN). We present here the full radar dataset consisting of the deep-sounding chirp in its processed form, as well as the navigational information of each trace, the surface and bed elevation picks, ice thickness, and calculated absolute surface and bed elevations. This dataset comes primarily in the form of NetCDF and georeferenced SEGY files. To interactively engage with this newly-published dataset, we also created segmented quicklook PDF files of the radar data.

During the austral summer of 2015/16, a major international collaboration funded by the European Space Agency (ESA) and with in-kind contribution from the British Antarctic Survey, the Technical University of Denmark (DTU), the Norwegian Polar Institute (NPI) and the US National Science Foundation (NSF), acquired ~38,000 line km of aerogeophysical data. The primary objective of the POLARGAP campaign was to carry out an airborne gravity survey covering the southern polar gap of the ESA gravity field mission GOCE, beyond the coverage of the GOCE orbit (south of 83.5degS), however aeromagnetics and ice-penetrating radar data were also opportunistically acquired. This survey covers the South Pole and Recovery Lakes, as well as parts of the Support Force, Foundation and Recovery Glaciers. Our Twin Otter aircraft was equipped with dual-frequency carrier-phase GPS for navigation, radar altimeter for surface mapping, wing-tip magnetometers, an air-sea gravity meter, and a new ice-sounding radar system (PASIN-2). We present here the full radar dataset consisting of the deep-sounding chirp and shallow-sounding pulse-acquired data in their processed form, as well as the navigational information of each trace, the surface and bed elevation picks, ice thickness, and calculated absolute surface and bed elevations. This dataset comes primarily in the form of NetCDF and georeferenced SEGY files. To interactively engage with this newly-published dataset, we also created segmented quicklook PDF files of the radar data. This is Version 2 of the dataset. This version differs from Version 1, as follows: 1. The variables "fast_time" and "UTC_time_layerData" have been updated due to errors found. The error in the fast_time variable related to an error in the sampling frequency of the system, which should have been 24 MHz instead of 22MHz. This has been updated. The error in the "UTC_time_layerData" related to a rounding issue which affected the precision of this variable. This has been updated. 2. The units in the "surface_pick_layerData" and the "bed_pick_layerData" variables should have been "samples relative to the BAS radar system", instead of "microseconds". This has been corrected. 3. The metadata in this DMS entry and in the NetCDF files has also been updated. Mainly, the sampling frequency has been modified from 22 MHz to 24 MHz to reflect the radar system characteristics. This also affected the value provided for the radar system resolution and sampling interval, which have both been updated in the metadata. 4. The SEGY sampling interval value (byte numbers: 117-118 (SI)) has also been updated to reflect the change in sampling frequency mentioned above. All other variables remain unchanged. Note that these changes do not affect the radar data or the associated radar-derived data in the files.