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  • This study took place from 12 November to 1 December 2015, at the emperor penguin colony at Rothschild Island (-69.5 S, -72.3 W) located on sea ice < 1 km from the eastern coastline of the island in Lazarev Bay. ARGOS telemetry devices were attached to adult emperor penguins en route to, or from, the colony. The last recorded positions were on 26 April 2016 when data collection was terminated; at this date six instruments were still transmitting. PTT devices were deployed as a joint operation between Philip Trathan (British Antarctic Survey), and Barbara Wienecke (Australian Antarctic Division). Catrin Thomas acted as the BAS Field General Assistant. Funding: This work was supported by the UKRI/ BAS ALI-Science project and to the Australian Antarctic Program. Philip Trathan was also supported by WWF (UK) under grant GB095701.

  • This dataset comprises Sentinel2 satellite imagery and derived geographic locations of five emperor penguin colonies located in the central and eastern Bellingshausen Sea, between October to December 2022. Medium-resolution satellite data was monitored for the presence of emperor penguin colonies, and when colonies were found, imagery was digitised and downloaded from Copernicus playground. Satellite data indicate early sea ice break-up at three of the four colonies, and the disappearance of the fourth colony. Digitisation and annotation of satellite imagery was carried out by the British Antarctic Survey, and supported by NERC core funding and WWF grant NEB 2181.

  • 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.

  • 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.

  • This record consists of 5 different datasets covering the Alexander Island region of Antarctica: coastline (including grounding line and ice shelf fronts), contours, spot heights, rock outcrop and lakes. The data have been produced for a new topographic map of Alexander Island at 1:500,000 scale, produced by the Mapping and Geographic Information Centre, British Antarctic Survey. The data are suitable for a 1:500,000 scale map but may be suitable for larger scales in certain areas. They have been created from source data ranging from 2022 - 2025. The data primarily cover Alexander Island, and also cover Rothschild, Charcot and Latady islands, as well as Wilkins and George VI ice shelves, and the Rymill Coast section of Palmer Land on the Antarctic Peninsula. The datasets were created using a mixture of GIS software, primarily digitised from Sentinel-2 satellite imagery or extracted from high resolution, published elevation models. Exact details of each dataset can be found in the lineage statements.