In 2008 RRS James Clark Ross investigated the marine benthic biodiversity in Amundsen Sea and in 2018 the marine benthic biodiversity of the Prince Gustav Channel (PGC) area and the macrobenthic cumacean fauna (Peracarida, Crustacea) collected by epibenthic sledge (EBS) has been assessed for species richness, abundance and assemblage composition. In total 4431 cumacean specimens assigned to 58 morphospecies and 5 families were identified. To set the cumacean dataset into a wider context, published cumacean species richness and abundance data from EBS collected stations in the Magellan Region and Southern Ocean (Rehm et al 2007, Muehlenhardt-Siegel 1999, Cordoba & San Vincente 2009) were added. This dataset provides data for 1) Amundsen Sea and PGC EBS locations, 2) Amundsen Sea and PGC EBS cumacean abundances, 3) Magellan Region and Southern Ocean EBS cumacean standardised 1000 m trawl length abundances (175 - 3500 m depth). Funding for the expeditions and KL was provided by NERC NC Science for the BAS core project BIOPEARL and for NERC urgency grant NE/R012296/1 'Benthic biodiversity under Antarctic ice-shelves - baseline assessment of the seabed exposed by the 2017 calving of the Larsen-C Ice Shelf'. Funding for DD was provided by the Deutsche Forschungsgemeinschaft grant Br1121/51-1.

Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Cologne's Lufft CHM15k "Nimbus" deployed at Julich, Germany. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-0-10508. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.

The dataset comprises of chronostratigraphic data from the Fildes Peninsula, King George Island, South Shetland Islands. The data consists of Radiocarbon (C-14) ages, which were obtained by Accelerator Mass Spectrometry (AMS) dating of marine mollusc shells, terrestrial mosses and seaweed layers embedded in sediments, and Cosmogenic Helium-3 (He-3) nuclide surface exposure dating (CSED). The data have been used to constrain deglaciation and climate-glacier dynamics on the Fildes Peninsula. Data collected in this study were funded by: Centro de Investigaciones en Ciencias de la Tierra (CICTERRA), the Direccion Nacional del Antartico/Instituto Antartico Argentino (DNA/IAA) in the framework of the Project PICTA, 2011 - 0102, IAA "Geomorfologia y Geologia Glaciar del Archipielago James Ross e Islas Shetland del Sur, Sector Norte de la Peninsula Antartica"; the Alfred Wegener Institute (AWI) research program Polar regions and Coasts in a changing Earth System (PACES II); IMCONet (FP7 IRSES, action no. 318718); the Natural Environment Research Council (NERC/BAS-CGS Grant no.81); the NERC/BAS science programmes CACHE-PEP: Natural climate variability - extending the Americas palaeoclimate transect through the Antarctic Peninsula to the pole and GRADES-QWAD: Quaternary West Antarctic Deglaciations. We thank the crews of the Argentine research station "Carlini'" and the adjoined German Dallmann-Labor (AWI) Laboratory, the Uruguayan research station "Artigas", the Russian Bellingshausen Station, the Chinese Great Wall Station, Base Presidente Eduardo Frei Montalva, the Brazilian Navy Almirante Maximiano, the UK Navy HMS Endurance and NERC/BAS James Clark Ross for logistical support during the 2006, 2011, 2014 and 2015 field seasons.

The dataset comprises of chronostratigraphic data from the Fildes Peninsula, King George Island, South Shetland Islands. The data have been used to constrain deglaciation and climate-glacier dynamics on the Fildes Peninsula. These data include C-14 density probability phases. Data was compiled with with Potter Peninsula and King George Island data and a non-parametric phase model applied. Data collected in this study were funded by: Centro de Investigaciones en Ciencias de la Tierra (CICTERRA), the Direccion Nacional del Antartico/Instituto Antartico Argentino (DNA/IAA) in the framework of the Project PICTA, 2011 - 0102, IAA "Geomorfologia y Geologia Glaciar del Archipielago James Ross e Islas Shetland del Sur, Sector Norte de la Peninsula Antartica"; the Alfred Wegener Institute (AWI) research program Polar regions and Coasts in a changing Earth System (PACES II); IMCONet (FP7 IRSES, action no. 318718); the Natural Environment Research Council (NERC/BAS-CGS Grant no.81); the NERC/BAS science programmes CACHE-PEP: Natural climate variability - extending the Americas palaeoclimate transect through the Antarctic Peninsula to the pole and GRADES-QWAD: Quaternary West Antarctic Deglaciations. We thank the crews of the Argentine research station "Carlini" and the adjoined German Dallmann-Labor (AWI) Laboratory, the Uruguayan research station "Artigas", the Russian Bellingshausen Station, the Chinese Great Wall Station, Base Presidente Eduardo Frei Montalva, the Brazilian Navy Almirante Maximiano, the UK Navy HMS Endurance and NERC/BAS James Clark Ross for logistical support during the 2006, 2011, 2014 and 2015 field seasons.

This dataset contains fossil and modern pollen data collated during a workshop held in the UK in 2008 as part of the NERC (Quantifying and Understanding the Earth System) QUEST programme. The 96 sampling sites are located from 24°E (western Ukraine and Belarus) to easternmost Siberia, and lie north of latitude 40°N. The sample ages range from 21ka to present and are assigned to 1,000 year time slices. The dataset has been checked for consistent taxonomy and a redundancy-free taxonomy has been produced. Full details about this dataset can be found at https://doi.org/10.5285/6aeba247-52d1-4e84-949f-603742af40c1