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  • This dataset contains high and low water values manually digitised from historic hand-written tabulated ledgers, from the Port of London Authority (PLA). The dataset contains 463 years of data, from across 15 tide gauge sites along the Thames Estuary (bounding box = -0.3159W, 51.3914N, 1.3797E, 51.8428N), for the period 1911 to 1995. When these historic records are combined with digital records available from the PLA since 1995, the new sea level time-series spans the 109-year period from 1911 to 2019. London is one of the world’s most important coastal cities and is located around the Thames Estuary. Quantifying changes in sea levels in the Thames Estuary over the 20th century and early part of the 21st century is vital to inform future management of flood risk in London. This dataset is of importance for ongoing monitoring of mean sea-level rise, and changes in tidal range and extreme sea levels in the Thames Estuary. The project was led by the Ocean and Earth Science, University of Southampton and the Environment Agency, with contributions from the Leibniz Institute for Baltic Sea Research Warnemunde and the National Oceanography Centre. The study contributes to the objectives of UK National Environment Research Council (NERC) project E-Rise: Earliest detection of sea-level rise accelerations to inform lead time to upgrade/replace coastal flood defence infrastructure (NE/P009069/1; I.D.H.).

  • This dataset contains wave spectra, wave statistics and current data collected by surface and subsurface moorings across three sites in the Bristol Channel between March 2010 and April 2011. A Datawell Mk.III directional Waverider buoy was moored at one site collecting wave spectra and statistics data while Nortek Acoustic Wave and Current meters (AWAC) were moored at the seabed in trawl resistant frames at two sites. The AWACs collected wave data from the surface and current data through the water column split into 2 m bins. TRIAXYS directional wave sensors with onboard Nortek Aquadopp current profilers were also deployed at the two sites. Like the AWAC moorings, the TRIAXYS moorings collected wave data from the surface and current data through the water column split into 1 m bins. The data were collected as part of the environmental impact assessment of the proposed Atlantic Array offshore wind farm. GEMS Survey Ltd were contracted to conduct the data collection and provided the data to The Crown Estate as the landowner of the UK seabed out to 12 nautical miles. The data and associated metadata reports are held at the British Oceanographic Data Centre, as a MEDIN Data Archiving Centre.

  • The WireWall project developed a prototype wave overtopping field measurement system. The system was designed and trailed at Crosby Beach, Hall Road carpark, north of Liverpool during winter 2018/2019. The data collected include both wave-by-wave overtopping volumes and horizontal velocities. At the time of the project the coastal structure at this site comprised a stepped revetment and vertical sea wall with a recurve. The system was designed at the National Oceanography Centre, validated in HR Wallingford’s flume facility and deployed with Sefton Council. Five datasets are available from the project. These contain processed data from: 1) The numerical wave overtopping estimates for past events used to design the system and plan deployments; 2) The numerical wave overtopping estimates for the joint wave and water level conditions with a 1 in 1 year return period probability to a 1 in 200 year return period probability in Liverpool Bay; 3) The dock side tests; 4) The physical laboratory experiments; and, 5) The field trials during windy spring tides. For Crosby these data can be used to validate/calibrate numerical tools used for coastal scheme design and flood hazard forecasting. Beach profile data collected alongside the overtopping measurements have been archived with the Northwest Regional Coastal Monitoring Programme, This project was delivered by the National Oceanography Centre in collaboration with HR Wallingford. Our project partners were Sefton Council, Balfour Beatty, Environment Agency, Channel Coastal Observatory and Marlan Maritime Technologies.

  • A collection of raw water temperature-depth-time profiles were recorded from a selection of dive computers, underwater cameras and baseline Castaway microCTD devices. Data were collected at Oban recompression chamber (owned and managed by Tritonia Scientific), as well as during sea dives local to 56.42 N, 5.47W, over a two-week period between 08/01/2020 and 07/02/2020. A number of different devices and models were tested during the study. Chamber dives were undertaken to test and compare device response time (29 devices over 11 dives) and accuracy (6 replicate dives). This was followed by local sea dives to further compare device accuracy. During each pair of sea dives (6 total), half of the devices were mounted on a frame with the remainder worn by two divers. For the subsequent dives in each pair, each device was switched to the alternate mounting position. Dive profiles were exported from individual dive computers into Subsurface open source software, then exported in ssrf (XML) format for each week of data collection. Profiles from all dive computers were combined for analysis. Castaway microCTDs and Paralenz Dive Camera+ profiles were exported as individual CSV files per dive. Data were collected as part of Celia Marlowe’s PhD project at the University of East Anglia, which aimed to assess the precision, accuracy and uncertainty in water temperature profiles collected from devices commonly carried by Scuba divers. The PhD project is part of the Next Generation Unmanned Systems Science (NEXUSS) Centre for Doctoral Training, funded by the Natural Environment Research Council (NERC) and the Engineering and Physical Science Research Council (EPSRC) (NE/N012070/1), and is additionally supported by Cefas Seedcorn (DP901D). The diving and chamber tests were supported through a NERC National Facility for Scientific Diving grant (NFSD/17/02).

  • This dataset contains particle flux analyses and current measurements collected from sediment traps and associated moored current meter instrumentation. Four McLane sediment traps were deployed in the Iceland Basin (by the Ocean Weather Station India) in a mesoscale array around 60 degrees N 20 degrees W to sample particle flux time series between November 2006 - July 2007 and August 2007 - June 2008. Sediment traps were deployed with Aanderaa RCM8 current meters 15 m below the traps, recording current speed and direction once an hour. The sediment traps were initially deployed during RRS Discovery cruise D312 and recovered on RRS Discovery cruise D321. For the second deployment period the traps were deployed on RRS Discovery cruise D321 and recovered on RRS Discovery cruise D340. The first sediment traps were prepared for analysis by scientists shortly after recovery. The second deployment samples were stored in the dark at 4 degrees Celsius until 2016 and were subsequently analysed. All sediment trap samples are preserved with formalin and hence should not be affected by long time storage. The samples were analysed for mass flux, particulate organic carbon (POC) and nitrogen (PON) flux, calcium carbonate flux, biogenic silica flux (including dissolved contribution for deployment 2), strontium flux (including Acantharian cyst fractions for deployment 1 and 2 and particulate fractions for deployment 2). The samples from the latter part of deployment 2 are thought to have severely under collected and so those data are flagged. The dataset was produced for the purposes of calculating sediment fluxes in the Iceland Basin and was funded by the Natural Environment Research Council (NERC) - Oceans 2025 Programme (Grant number NE/L002531/1).

  • The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera). This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK National Honey Monitoring Scheme ( All data provided is from the first full year of the scheme in 2019. Working in partnership with UK beekeepers, the National Honey Monitoring Scheme aims to use honeybees to monitor long-term changes in the condition and health of the UK countryside. Data associated with subsequent years will be made available as samples are processed. The Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. Full details about this dataset can be found at

  • The dataset comprises the combination of estimates of anthropogenic carbon derived from hydrographic occupations of the 26N section with volume transports for the area between east USA and Africa calculated using the RAPID-MOCHA-WBTS AMOC timeseries. The data cover the time period between April 2004 and October 2012. The observations will be used with data from other sources to determine and interpret the accumulation of anthropogenic carbon in the North Atlantic, to infer the magnitude and variability of uptake of anthropogenic carbon dioxide from the atmosphere, and assess the risk of changes in the meridional overturning circulation on the marine carbon cycle. The Atlantic Biogeochemical Fluxes programme (ABC-Fluxes) is a joint effort between NERC in the UK (Principal Investigator Elaine McDonagh), and NOAA in the USA (Molly Baringer). It builds on the work of the RAPID-MOCHA-WBTS programme, a joint effort between NERC in the UK (Principal Investigator Eleanor Frajka-Williams), NOAA (Molly Baringer) and RSMAS (Bill Johns) in the USA. The Atlantic anthropogenic carbon transport (and its components), calculated from the above data, are held by BODC in NetCDF format.

  • An iRobot Seaglider (Serial Number 534) carrying a Seabird CT Sail, Paine pressure sensor and Wetlabs ECO-puck was deployed in the Celtic Sea, Northwest European Shelf for 21 days between the 4th and 25th April 2015. It maintained a position within 10 km of 49° 24.3’ N, 8° 32.9’W and completed 1547 profiles between the sea surface and 120 m water depth. Its mission was to observe the evolution of the water column structure and the accumulation of phytoplankton biomass during spring phytoplankton bloom. Following the extraction of raw data and application of manufacturer calibrations, thermal lag corrections were applied to the temperature following the methods of Garau et al. (2011) and drawing upon a flight model similar to that described by Frajka-Williams et al (2011). Unrealistically high and low values of salinity, derived after thermal inertia corrections, were removed. Further, salinity values within 40 m of the surface (where the vertical speed of the glider was typically unstable) that were greater than 3 standard deviations from the mean salinity within top 40 m were removed. Each salinity profile was smoothed with an 8 m running mean window. Four calibrated CTD casts taken within 1.6 km of the glider were used to calibrate the gliders temperature and salinity. Based on the mean temperature and salinity of water between 80 m and 105 m the glider CT sensors were found to be reading 0.0277°C and 0.0024 psu too low. These constant offsets were corrected for. Chlorophyll-a fluorescence was derived based on the manufacturers calibrations and checked against a fluorometer on the CTD. There is evidence of quenching within the surface 30-40 m during the day which has not been removed or corrected for here. Temperature, salinity and chlorophyll-a fluorescence were gridded onto regular 1 m depth intervals and the profile average position and time calculated. The glider was funded by the NERC Sensors on Gliders Programme and deployed during a UK Natural Environment Research Council (NERC) Shelf Sea Biogeochemistry Programme cruise (DY029). The processed data are held at BODC in Matlab format.

  • This dataset is comprised of laboratory based culture experiments with five eukaryotic plankton species. The plankton were grown in culture media made up in filtered seawater collected from the continuous seawater supply system in the laboratories of the Centre for Environment Fisheries and Aquaculture Science (Cefas) in Lowesoft, UK, pumped from the North Sea. Experiments were undertaken between December 2017 and March 2019. The dataset also includes environmental data: dissolved oxygen concentration from water samples collected from CTD casts on the AMT28 cruise which took place from September 23 to October 30, 2018. This study contributes to the ‘Marine bacterioplankton respiration: a critical unknown in global carbon budgets’ project funded by The Leverhulme Trust (RPG-2017-089) and the ‘Remineralisation of organic carbon by marine bacterioplankton (REMAIN)’ project funded by NERC Discovery Science (grant reference NE/R000956/1 active from December 01, 2017 to November 30, 2020). Data were generated by Carol Robinson, Isabel Seguro, and E. Elena Garcia-Martin of the University of East Anglia.

  • A time series of ocean circulation in the North Atlantic from 1900-2018 was calculated using a number of gridded data products. These comprise the EN4.2.1 gridded temperature and salinity dataset (Good et al. 2013), using Gouretski and Reseghetti (2010) corrections (, gridded satellite altimetry from the Copernicus Marine Environment Monitoring Service (CMEMS, and gridded wind stress fields from the European Centre for Medium-Range Weather Forecasts (ECMWF, Both ERA-20C and ERA-Interim products were obtained to cover the periods 1900-1978 and 1979-2018 respectively.