KRILLBASE is a data rescue and compilation project which aims to improve the availability of information on two of the Southern Ocean's most important zooplankton taxa: Antarctic krill (Euphausia superba) and salps (Family Salpidae). In 2016, the project released a database of information from 15,194 scientific net hauls, collected between 1926 and 2016 by scientists from ten countries. These data, on the density of Antarctic krill and salps, provide a resource for analysing the distribution and abundance of these taxa throughout the Southern Ocean, to support ecological and biogeochemical research as well as fisheries management and conservation. The data are available as a downloadable csv files and via a seachable web interface. Each row of the main data table represents either a net haul or a composite of several net hauls. The columns describe searchable and filterable sampling and environmental information as well as the krill and salp density. The krill data are presented as both the observed density (NUMBER_OF_KRILL_UNDER_1M2, no.m-2) and the density standardised to a single, relatively efficient sampling method (STANDARDISED_KRILL_UNDER_1M2, no.m-2). The salp data are presented as observed density for all species combined, where an individual can be either a solitary oozoid or a member of an aggregate chain (NUMBER_OF_SALPS_UNDER_1M2, no.m-2). 12,758 of the net hauls in the database include krill data, 9,726 include salp data. 7,295 of the net hauls include both krill and salp data. For hauls where data for either salps or krill were not available the relevant field is blank. The RECORD_TYPE column distinguishes between four types of record and we emphasise that every analysis of the data should first screen on this field to avoid using the same data twice. Most records are labelled "haul", and these result from a single net sampling the water column at a specific station. Others, labelled "stratified pooled haul", are the combined result of several (typically three) stratified hauls (labelled "stratified haul") sampling different parts of the water column. A small number of records, labelled "survey mean" represent the arithmetic mean densities from multiple stations as this was the only recoverable information from the relevant surveys, which were mainly conducted in the 1980s. The dataset is fully described in the following publication which should be cited in published analyses of these data: Atkinson A, Hill SL, Pakhomov E, Siegel V, Anadon R, Chiba S, Daly KL, Downie R, Fielding S, Fretwell P, Gerrish L, Hosie GW, Jessopp MJ, Kawaguchi S, Krafft BA, Loeb V, Nishikawa J, Peat HJ, Reiss CS, Ross RM, Langdon B Quetin, Schmidt K, Steinberg DK, Subramaniam RC, Tarling GA, Ward P (2017) KRILLBASE: a circumpolar database of Antarctic krill and salp numerical densities, 1926-2016. Earth Syst. Sci. Data, 9: 193-210 (doi:10.5194/essd-9-193-2017)

Signy Island camera image files of sea-ice coverage for 2004; played as a movie.

Adelie and Chinstrap penguins were fitted with both GPS loggers and time-depth recorder (TDR) tags for between two and fourteen days in order to log their three-dimensional foraging trips. Tags were deployed between December and February of 2011/12, 2013/14 and 2015/16 with a total of 36 Adelie penguin GPS tracks, 37 Adelie penguinTDR tracks, 52 Chinstrap penguin GPS tracks and 48 Chinstrap penguin TDR tracks.

Adelie and Chinstrap penguins were fitted with a combined GPS and time-depth recorder (TDR) tags for between two and fourteen days in order to log their three-dimensional foraging trips. Tags were deployed between December and February of 2008 with a total of 19 Adelie penguin tracks and 35 Chinstrap penguin tracks.

The dataset comprises chlorophyll-a concentrations from water samples taken during RRS James Clark Ross cruise JR291, from 12/11/2013 - 19/12/2013. The cruise sailed from Stanley, Falklands, and returned to the same port. Samples were taken during transit to Signy Island (South Orkneys), and then up through the Scotia Sea to BAS survey sites P2 and P3 as well as near South Georgia and in the Western Core Box survey area to the north of the island of South Georgia. 170 samples were collected from the ship’s uncontaminated underway supply, with an intake at approximately 6.5 m depth, every two hours during transit periods. 74 samples were collected, using a rosette sampler, from the upper 1000m during CTD (conductivity, temperature and depth probe) deployments. Each 300ml sample was filtered through a 0.8μm pore size, 25mm diameter, MPF300 filter, rinsed with Milli-Q water, placed in an Eppendorf tube and stored at -20°C for later analysis. Samples were extracted in 90 % acetone for 22-24 hours at 4°C and measured on a Trilogy Turner Designs 7200 lab fluorometer calibrated with a pure chlorophyll-a standard (Sigma, UK) and set up following the method of Welschmeyer (1994). Data have not been adjusted for blanks. The data set was from the annual Western Core Box Cruise run by British Antarctic Survey (BAS). Data were collected to support the PhD of Anna Belcher and provide seasonal context for the cruise in terms of the primary production in the surface ocean. Chlorophyll samples were collected by Elena Ceballos-Romero (University of Sevilla), Frédéric Le Moigne (NOC) and Anna Belcher (NOC). Chlorophyll samples were analysed at the National Oceanography centre in Southampton by Anna Belcher from NOC.

This dataset includes post-processed model output from an Amundsen Sea regional configuration of MITgcm. The model use ocean, sea ice and ice shelf components. The model is forced by ERA5 from the years 1979-2021, with the exception of 1996 for which ERA Interim is used. The data is used for figures in the research paper "Wind-driven coastal polynya variability drives decadal ice-shelf melt variability in the Amundsen Sea" by Michael Haigh, Paul Holland and Thomas Caton Harrison. Creation of the dataset was funded by the NERC project "Drivers of Oceanic Change in the Amundsen Sea", NE/T012803/1.

The South Orkney Fast-Ice series (SOFI) is an annual record of the timing of formation and breakout of fast-ice in a bay in the South Orkney Islands on the Scotia Arc in the northern Weddell Sea, Antarctica.

This dataset contains data for the plots in Figures 3 and 4 in the article: Effective rheology across the fragmentation transition for sea ice and ice shelves, Åström, and D.I. Benn, GRL, 2019. The data is produced with the numerical simulation code HiDEM, which is an open source code that can be found at: https://github.com/joeatodd/HiDEM. The data plots in the paper contain the data used as benchmarks for testing the reliability of the simulations (Fig.3), and the main results (Fig. 4), the effective rheology of sea ice across the fragmentation transition. Funding was provided by the NERC grant NE/P011365/1 Calving Laws for Ice Sheet Models CALISMO.

Quantification of interactive effects of ocean warming and ocean acidification based on near-future climate change projections on morphometrics and oocyte size of benthic invertebrates (the bivalves Astarte crenata and Bathyarca glacialis) from the Western Barents Sea. Supported by The Changing Arctic Ocean Seafloor (ChAOS) - how changing sea ice conditions impact biological communities, biogeochemical processes and ecosystems project (NE/N015894/1 and NE/P006426/1, 2017-2021), Natural Environment Research Council (NERC) in the UK.

The CreamT project converted the prototype WireWall wave overtopping field measurement system into a ruggedised monitoring system between August 2020 and August 2023. The system was deployed for up to a year in two high-energy coastal environments along the Southwest coast, UK (Dawlish and Penzance). The system was designed to have a 3-month maintenance interval and was programmed to measure overtopping condition ±3hrs either side of predicted high tide. The wave-by-wave overtopping data were telemetered to the British Oceanographic Data Centre (BODC) every 10 minutes. At the time of the project, the coastal structures at these sites comprised a vertical sea wall with small return lip or curve at the top. Both sea walls were fronted by a beach. During the project period the Dawlish beach levels exposed a concreate toe at the base of the wall. In Penzance, the beach covered the sea wall toe and was higher in the southwest monitoring location. The system was designed at the National Oceanography Centre (NOC) and had previously been validated in HR Wallingford’s flume facility and field tested with Sefton Council (https://www.channelcoast.org/northwest/). During CreamT, three different system configurations were deployed: full WireWall systems each with an array of six capacitance sensors; smaller WireWand systems with two capacitance sensors mounted on a single pole to detect overtopping at hazard hotspots; and a WaveWell using a single sensor on the face of the sea wall. Six datasets are available from the CreamT project. These contain delayed mode data from: 1) a WireWall deployed at the crest of the sea wall in Dawlish; 2) a WireWand deployed at the wall just seaward of the railway line in Dawlish; 3) a WireWand deployed at the fence just inland of the railway line in Dawlish; 4) a WaveWell deployed on the face of the sea wall in Dawlish; 5) a WireWall deployed at the crest of the sea wall in Penzance near Queen’s Hotel, and; 6) a WireWall deployed at the crest of the sea wall in Penzance near the Lidal store at Wherrytown. The datasets in Dawlish provide information about the inland distribution of overtopping, and the two datasets in Penzance provide information about the alongshore variability in overtopping hazard. These data can be used alongside the regional monitoring data available from the Southwest Regional Monitoring Programme to investigate the drivers of wave overtopping. All these data can be visualised in a hazard dashboard developed by the BODC and hosted on JASMIN, https://coastalhazards.app.noc.ac.uk/. This project was delivered by the National Oceanography Centre in collaboration with BODC and the University of Plymouth under NERC Grant References NE/V002538/1 and NE/V002589/1. Project partners were Network Rail, Southwest Regional Monitoring Programme, Environment Agency and Channel Coastal Observatory.