Zooplankton samples taken around the island of South Georgia with a vertically hauled N70 plankton net during Discovery Investigations in the 1930s were examined and four species of calanoid copepod enumerated. Stations where complete samples or known fractions were available within the top 250 m were identified. The resulting 151 samples, representing 52 scientific stations, spanned the months November through to early March. Analysis focused on the species Calanoides acutus, Calanus simillimus, Calanus propinquus and Rhincalanus gigas. Previous investigations have used standardised abundances of these species from a wider suite of Discovery samples and compared them with contemporary samples to see whether changes have occurred in the last ~80 years. The intention is that these samples will enable further comparisons within a more tightly defined spatial area.

Macrozooplankton and micronekton were collected by an RMT8 net in the waters around the island of South Georgia (Southern Ocean) during the austral summer (November to February) between 2009 and 2019 as part of the Polar Ocean Ecosystem Time Series - Western Core Box (POETS-WCB, Fielding et al. 2014) conducted by the British Antarctic Survey. Net sampling efforts took place at eight stations along paired transects spanning 133 km by 80 km over the continental shelf-break northwest of South Georgia. An 8 m2 Rectangular Midwater Trawler (RMT8) containing two opening and closing nets with 4.5 mm mesh was deployed in double oblique fashion between the surface and a maximum depth of 200 m or to within 15 m of seabed. While on the ship, contents of the net catches were identified to the lowest possible taxonomic level, enumerated and measured for their wet weight. Sub-samples were preserved in ethanol or formalin. Funding was provided by the POETS-WCB.

These are light level and activity data collected from BAS geolocators that were deployed on 4 Leopard Seals hauled out on Bird Island, South Georgia. Tags were deployed between May 2003 and June 2013. One seal Y5282(B4942) was tracked during two non-consecutive years using two different identification flipper tags. There are three data types for each seal a) the unprocessed light sensor data b) the unprocessed activity (wet/dry) data and c) The estimated positions estimated using the BAStag and SGAT packages in R. All files are in the CSV format and each folder has a readme.txt file describing the data structure of the files within. The data are reported in detail in Staniland et al. 2018 'Long Term Movements and Activity Patterns of an Antarctic Marine Apex Predator: The Leopard Seal' PLOSone

Platform Transmitting Terminal (PTT) tags were used to track Gentoo penguins from Maiviken and Ocean Harbour, South Georgia, from June to September 2018. PTT tags were attached to the lower back feathers with tape and glue. PTT tags use the ARGOS satellite system to collect geospatial data. Tags were deployed to provide information on the protection afforded to Gentoo penguins by the 12NM no take zone (part of the South Georgia and South Sandwich Island MPA that is closed to fishing), and the krill fishing grounds.

We present here the land cover change of the major proglacial regions in West Antarctica and the McMurdo Dry Valleys during the 21st century. We have used change vector analysis on Landsat-8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images to an accuracy of 80 %. This work is supported by the Leeds-York-Hull Natural Environment Research Council (NERC) Doctoral Training Partnership (DTP) Panorama under grant NE/S007458/1. The Ministry of Education, Youth and Sports of the Czech Republic project VAN 1/2022 and the Czech Antarctic Foundation funded fieldwork that contributed to part of this work.

We present here the land cover classification across West Antarctica and the McMurdo Dry Valley produced from Landsat-8 Operational Land Imager (OLI) images of six proglacial regions of Antarctica at 30 m resolution, with an overall accuracy of 77.0 % for proglacial land classes. We conducted this classification using an unsupervised K-means clustering approach, which circumvented the need for training data and was highly effective at picking up key land classes, such as vegetation, water, and different sedimentary surfaces. This work is supported by the Leeds-York-Hull Natural Environment Research Council (NERC) Doctoral Training Partnership (DTP) Panorama under grant NE/S007458/1. The Ministry of Education, Youth and Sports of the Czech Republic project VAN 1/2022 and the Czech Antarctic Foundation funded fieldwork that contributed to part of this work.

Automatic data loggers are often used to monitor environmental variables such as temperature (of air and soil), humidity, wind speed and radiation in microclimates where experimental or ecological studies are being carried out. Some loggers are only in operation for a few weeks or months while others have been run for several years. Loggers have been sited in a wide variety of locations from the sub-Antarctic (South Georgia), South Orkney Islands (Signy) various Peninsula sites (as far south as Alexander Island - 70S), and some continental localities (e.g. Victoria Land). These form an important data resource to the climate conditions experienced by Antarctic terrestrial organisms. Various types of logger are used. Sensors tend to be deployed at or near ground level and in and around particular types of vegetation, or other experimental sites, such as cloches. Loggers used include Grant, Delta-T, Campbell and Squirrels. Victoria Land data for Kay Island and Edmonson Point in 1995 and 1996 was collected under the BIOTEX 1 experiment of the SCAR BIOTAS (Biological Investigations of Terrestrial Antarctic Systems) Programme. An overview of BIOTEX is available as a PDF file.