Since 1998, station personnel have been recording the wildlife they've observed whilst living and working at Rothera Research Station, Antarctica, as part of the Rothera Time-Series (RaTS) project. Originally, this consisted of a daily count of animals seen recorded in a logbook. More recently, dedicated wildlife survey recording sheets have been made available. The handwritten raw data were then collated and input into a spreadsheet, creating a database of wildlife sightings. Funding source: These data have been collected by British Antarctic Survey (BAS) personnel as part of an on-going long-term monitoring programme supported by NERC core funding.

This data set corresponds to data acquired by the British Antarctic Survey (BAS) airborne Synthetic Aperture Radar (SAR) PASIN2 (Polarimetric Airborne Scientific INstrument, mark 2), designed for deep ice sounding and basal 3d-mapping. The data set includes the processed SAR images as depth profiles in the Recovery Ice Stream and Rutford Ice Stream, respectively downstream and upstream of the grounding line, and respectively for the 2016/17 FISS (Filchner Ice Shelf System) and the 2019/20 BEAMISH (Bed Access, Monitoring and Ice Sheet History) projects, both during the Antarctic Summer. With multiple antennas for transmission and reception at 150-MHz central frequency, and an across-track physical array, PASIN2 resolves the ambiguities for distinguishing between scatterers from port and starboard directions; however, in the two SAR images of the current dataset the port/starboard ambiguities are not resolved. On this dataset the user will be able to apply the RGB Doppler Decomposition method in the Doppler domain, interpret the results, and modify the different parameters and colours to contrast the results, all with the outcome of conducting new decompositions according to other datasets and needs. The RGB Spectral Decomposition is a generalised framework to interpret the SAR images: first, the Doppler or range spectral domains are first split into three sub-bandwidths; next, to each of the three a colour of a triplet of colours is assigned; and finally the three are superposed into one single image by the addition of the three colours. If the decomposition is applied on the Doppler spectrum, the new image contains the directional information related to the Doppler frequencies: positive frequencies when the radar approaches the target, near zero frequencies when the relative distance from radar to target is near stationary, and negative when the radar leaves it behind. If the backscattering is characterised by a very broad beamwidth the target will be gray/white, and if by a very narrow beamwidth then the target will be represented by one of the colours of the triplet. This work has received funding from the NERC grant NE/L013444/1, project: Ice shelves in a warming world: Filchner Ice Shelf System (FISS), Antarctica. The 2016/17 data were collected as part of the NERC grant NE/L013770/1, project: Ice shelves in a warming world: Filchner Ice Shelf System (FISS), Antarctica. The 2019/20 data were collected as part of the BAS National Capability contribution to the NERC/NSF International Thwaites Glacier Collaboration (ITGC) program.

We present here side scan sonar datasets and accompanying quicklook seabed images of the Scotia Sea acquired by a GLORIA II (Geological Long Range Inclined Asdic) side scan sonar. The GLORIA instrument was operated on the Royal Research Ship (RRS) Charles Darwin 37 (CD37) research cruise during January - April 1989. The study area was the Scotia Sea, North Scotia Ridge (NSR), South Sandwich Island, South Sandwich Arc, and West Antarctic Peninsula (WAP) continental shelf, within the broader region of the Southern Ocean. Raw data are presented in NetCDF format. These have been pre-processed from the binary pass data using the bas-gloria package (https://github.com/antarctica/bas-gloria). The data have been improved with additional metadata such as latitude, longitude and depth. In addition, "quicklook" seabed images generated from each pass file are provided as PNG images. Cruise tracks from the ship and side scan sonar are presented in CSV format. The cruise was carried out in order to gain a better understanding of the Southern Ocean with a particular focus on: - Tectonic history - Active tectonic processes - Paleoceanography - Stratigraphy - Ice dynamics during glacial intervals This project was funded by BAS under project code B6153: Scotia Sea tectonic evolution and palaeo-circulation.

Ground truth measurements in the form of snow/ice cores were obtained from three sites in 2006: Rothschild Island, Latady Island and Smyley Island. The sites selected corresponded to the position of Automatic Weather Stations (AWS) deployed during the previous season. At both the Rothschild Island and Smyley Island sites the AWS - due to an unprecedented amount of snowfall - had been buried. Therefore, two cores, 8m and 12m in length, were obtained from the approximate position of the AWS, in addition to the sampling of a snow pit. At the Latady Island site, the top 60cm of the 5m AWS was protruding above the surface - again, due to an unprecedented amount of snowfall. A diagonally descending trench was dug to recover the AWS and two cores were collected at this site. This work was carried out as part of a project to understand how air mass origin and meteorology affect the mass accumulation of snow in areas of the Antarctic Peninsula, and how the atmosphere's properties are preserved in the snow, Photographs of the expedition showing the ground layout, the situation of the cores and what was done when they were gathered are available and stored with the data.

Three micro-power Automatic Weather Stations (AWS) with two sonic ranging sensors were deployed at field-sites situated at Rothschild Island, Latady Island and Smyley Island in January 2005. The AWS instruments included a wind vane and two humicaps on the mast and two sonic ranging sensors mounted on separate horizontal scaffold poles. The AWS data collected contributed to a project concerned with understanding how air mass origin and meteorology affect the mass accumulation of snow in areas of the Antarctic Peninsula, and how the atmosphere's properties are preserved in the snow.

AE9_diff_omni_spec_L.txt describes the 99 percentile equatorial omnidirectional differential flux from the AE9 model at different orbits. equatorial_extreme_flux_n=2.txt describes what the equatorial flux would be at different L shells, using the data from (Meredith, 2023), during a 1 in 10, 1 in 50, and 1 in 100-year event. currents_vs_L.txt describes what the charging current at equilibrium of a coaxial cable would be, at different L shells (on the equatorial plane) during a 1 in 100-year event. All the other files describe what the maximum value of electric field within the dielectric layer of a coaxial cable would be, at different L shells (on the equatorial plane) during a 1 in 100-year event. However, they differ in whether the worst-case estimate from LANL GEO satellites were also included, and differ in the value of kp (which controls the impact of radiation induced conductivity) used for the model simulation. Both variables are described within the filenames. Funding: Supported in part by Natural Environment Research Council (NERC) grants NE/V00249X/1 (Sat-Risk), NE/X000389/1, NE/R016038/1, and NE/Y006178/1 (PRESCIENT).

This dataset comprises conductivity, temperature and depth (CTD) casts which were deployed around Rothera Point, Adelaide Island on the West Antarctic Peninsula between November 2023 and February 2024. Data were captured as part of a biodiversity survey on an area to the north of Rothera Research station. Operations were conducted off small boats and casts sampled shallow waters between 10m and 60m in depth. Data comprises parameters such as pressure, salinity, density, turbidity and more in addition to conductivity, temperature and depth. Data were collected by personnel at BAS, funded by the Antarctic Infrastructure Modernisation Project (AIMP) Runway Project.

This dataset contains ringing data of snowy sheathbills (Chionis albus) captured, ringed and released on Bird Island, South Georgia from September 2024 to September 2025, as well as subsequent resightings of birds throughout the year. Ringing data includes summary morphometrics including size and weight measurements. Resightings were made on an ad-hoc basis but represent high effort throughout the year. Data were collected as part of an initial study of sheathbills at Bird Island, aiming to discern population structure, comparative morphometrics with Antarctic birds, and for sexing via discriminant functions. Data were collected by Bird Island Zoological Field Assistants. Funded as part of the BAS Bird Island Long-term Monitoring Programme.

Coastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: 'ice coastline', 'rock coastline', 'grounding line', 'ice shelf and front', 'ice rumple', and 'rock against ice shelf', provided as a surface attribute. Covering all land and ice shelves south of 60degS. Suitable for topographic mapping and analysis. This dataset has been generalised from the high resolution vector polyline. Medium resolution versions of ADD data are suitable for scales smaller than 1:1,000,000, although certain regions will appear more detailed than others due to variable data availability and coastline characteristics. Changes in v7.11 include updates to the coastline of Adelaide Island and surrounding islands, the grounding line of Alexander Island and the surrounding region, and the ice shelf front of the Brunt Ice Shelf. In addition, sourcedate and revdate attributes were updated to a consistent YYYY-MM-DD format. To indicate limited date precision for earlier records, sourceprec and revprec attributes were introduced. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.

Coastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: 'ice coastline', 'rock coastline', 'grounding line', 'ice shelf and front', 'ice rumple', and 'rock against ice shelf', provided as a surface attribute. Covering all land and ice shelves south of 60degS. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region. Changes in v7.11 include updates to the coastline of Adelaide Island and surrounding islands, the grounding line of Alexander Island and the surrounding region, and the ice shelf front of the Brunt Ice Shelf. In addition, sourcedate and revdate attributes were updated to a consistent YYYY-MM-DD format. To indicate limited date precision for earlier records, sourceprec and revprec attributes were introduced. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.