This dataset consists of depth-averaged eastward and northward current components. Also present is the sea surface height above sea level. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range from -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are 30 minute averages and cover the period from 01 January 1996 to 01 January 2007. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The depth-averaged eastward and northward current components and sea surface height were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory (since April 2010, part of the UK National Oceanography Centre). The dataset consists of 264 data files in Climate and Forecast (CF) compliant NetCDF format.

This dataset consists of eastward and northward current components at 32 depth levels. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range from -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are daily averages and cover the period from 01 January 1996 to 01 January 2007. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The eastward and northward current components were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory (since April 2010, part of the UK National Oceanography Centre). The dataset consists of 132 data files in Climate and Forecast (CF) compliant NetCDF format.

This dataset consists of significant wave height, peak wave period, second moment wave period and nautical wave direction. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range from -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are hourly averages and cover the period from 01 January 1996 to 01 January 2007. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The wave parameters generated by POLCOMS-WAM were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory (since April 2010, part of the UK National Oceanography Centre). The dataset consists of 132 data files in Climate and Forecast (CF) compliant NetCDF format.

This dataset provides yearly estimates of near-global (65N-65S) ocean heat content and thermosteric sea-level depth-integrated for the upper 700 meters of the ocean for 1970 - 2023. The yearly values are presented with three-year smoothing and one-sigma error estimates. The dataset builds upon and updates the methodology established in Domingues et al. (2008, Nature), incorporating temperature measurements from ocean observation systems and applying corrections for instrumental biases and sampling irregularities. To estimate ocean heat content for the upper 700 m and the associated thermosteric sea level, we used ocean temperature profiles from the ENACT/ENSEMBLES version 3 (EN3) data set (1970-2004), and Argo/Ifremer profiling floats (2000-2023, updated January 2024). Empirical Orthogonal Functions (EOFs) were used to model variability of the time-varying sea level and were calculated from 23 years (1993–2015) of satellite altimeter data sourced from Commonwealth Scientific and Industrial Research Organisation (CSIRO), (TOPEX/Poseidon, Jason-1, Jason-2 and Jason-3).

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.

The data set comprises of measurements of surface currents collected across the Indian Ocean in the region 50 E (the Gulf of Aden) to 100 E and 25 S to 10 N. The data were collected between 1854 and 1974. The surface currents, measured from ships' drift, have been compiled into 10 day periods and 1 degree latitude-longitude squares. For each of these the vector mean of all of the observations from all years has been calculated. With this amount of subdivision, coverage is often sparse and sometimes non-existent. The source material for this atlas was obtained from the UK Meteorological Office archive of historical surface currents and this data set was compiled by the Institute of Oceanographic Sciences Deacon Laboratory (IOSDL).

A large number of charts (originals and copies) together with tabulations of data are also available, some of which date back to the 1850s. A more detailed description of these will be available once they have been systematically catalogued and archived.

The data set comprises time series of non-directional surface wave spectra from moored buoys and shipborne wave recorders at fixed locations. Individual spectra comprise some 60 or so estimates of wave energy at a range of spectral frequencies, computed from 20 to 30 minute recordings of the sea surface displacement/heave. The spectra are computed at intervals ranging from 1 to 3 hours. Data holdings comprise 500 recording months of data from some 14 sites across the continental shelf areas around the British Isles and the NE Atlantic between 1976 and 1995. Observation periods at specific sites vary from 4 months to 6 years. Data from the following sites are included in the data set: Holderness offshore (53 55.9N, 000 01.4E 01; Mar 1986 - 31 Mar 1987); Holderness nearshore (53 55.7N, 000 03.5W; 01 Mar 1986 - 30 Jun 1986); West Bexington (50 38.1N, 002 42.5W; 01 Nov 1983 - 31 Mar 1985; 01 May 1985 - 26 Feb 1986; 01 May 1986 - 30 Apr 1987); West Bexington (50 36.0N, 002 39.6W; 01 Sep 1987 - 01 Apr 1988); Eddystone (50 10.0N, 004 15.0W; 01 Jan 1976 - 31 Dec 1981); Kinnairds Head (57 55.8N, 001 54.1W; 01 Feb 1980 - 30 Dec 1981); Scilly Isles (49 51.8N, 006 41.0W; 01 Apr 1979 - 31 Jul 1979; 01 Feb 1980 - 31 Dec 1982; 01 Apr 1983 - 31 Dec 1983); South Uist deep water (57 17.8N, 007 53.6W; 01 Aug 1980 - 31 Dec 1982); South Uist offshore (57 18.2N, 007 38.3W; 28 Feb 1976 - 30 Nov 1982); South Uist inshore (57 19.8N, 007 27.2W; 01 Apr 1978 - 31 Jul 1982); Channel Lightvessel( 49 54.4N, 002 53.7W; 01 Mar 1986 - 30 Jun 1987; 01 Apr 1988 - 30 Nov 1988); Dowsing Lightvessel (53 34.0N, 000 50.2E; 01 Jul 1985 - 31 Dec 1985; 01 Feb 1986 - 30 Jun 1986; 01 Sep 1986 - 30 Apr 1987; 01 Jul 1987 - 31 Dec 1987); Ocean Weather Ship Lima (57 00.0N, 020 00.0W; 01 Jan 1984 - 30 Jun 1988; 01 Aug 1988 - 31 Dec 1988); Seven Stones Lightvessel (50 03.8N, 006 04.4W; 01 Jan 1985 - 28 Feb 1986; 01 May 1986 - 31 Mar 1987; 01 May 1987 - 31 May 1987; 01 Oct 1987 - 31 Oct 1987; 01 Dec 1987 - 31 Dec 1987). The data originate almost exclusively from UK laboratories and are managed by the British Oceanographic Data Centre. Data collection is ongoing at some sites (for example, Seven Stones Lighvessel) but these data are not managed by BODC. They are part of the Centre for Environment, Fisheries and Aquaculture Science (CEFAS) wavenet network.

The data set comprises 2193 profiles of turbidity from an area of the Severn Estuary (UK) between the Shoots and Bridgwater Bay between 1974 and 1978. The data were collected as analogue records of continuous vertical profiles on a time series cross-section basis, where possible, over 13.5 hours from a drifting ship. All measurements were collected between 0 m and 39 m depth. The data coverage is derived from 172 stations along 17 survey lines, the density of coverage varying between 1 and 99 records per station. Each analogue record was digitised as approximately 200 pairs of XY coordinates. The X ordinates were then converted to depth (in metres) using a depth calibration and the Y ordinates to parts per million (PPM) of sediment using siltmeter calibration data. The Fluid Mud data bank was designed by the (former) Institute of Oceanographic Sciences (IOS) Taunton, UK, and the data were originally stored at IOS on a PDP 11 computer. They were then moved to an Oracle RDBMS at the British Oceanographic Data Centre (BODC) and stored as the Bristol Channel Suspended Sediments Data Bank.

GreenSeas was an EU FP7 programme funded to advance the quantitative knowledge of how planktonic marine ecosystems, including phytoplankton, bacterioplankton and zooplankton, will respond to environmental and climate changes. To achieve this GreenSeas employed a combination of observation data, numerical simulations and a cross-disciplinary synthesis to develop a high quality, harmonized and standardized plankton and plankton ecology long time-series, data inventory and information service. This contribution to the programme developed a number of indices to characterize quantitatively the seasonality of phytoplankton (Platt and Sathyendranath, 2008, Racault et al., 2014a). Specifically, indices that relate to the study of timing of periodic biological events as influenced by the environment are referred to as phytoplankton phenology. These indices include: timings of initiation, peak, and termination as well as the duration of the phytoplankton growing period. Changes in phytoplankton phenology (triggered by variations in climate) can profoundly alter: (1) the efficiency of the biological pump, with inevitable impact of the global carbon cycle; and (2) the interactions across trophic levels, which can engender trophic mismatch with major impacts on the survival of commercially important fish and crustacean larvae. Phenology indices were estimated using the R2010.0 reprocessing of Level 3 Mapped chlorophyll-a concentration from the Sea-viewing Wide Field-of-view (SeaWiFS) sensor. The chlorophyll-a data were retrieved from NASA Ocean Color Web http://oceancolor.gsfc.nasa.gov for the period 1997-2008 at 9 km spatial resolution and 8-day temporal resolution. Linear interpolation was applied to map the chlorophyll-a concentration onto a 1degreex1degree fixed grid. The phenology indices were estimated following the method described in Racault et al. (2012). Missing chlorophyll-a data were reduced from the time-series prior to estimating the timing of ecological events. Missing values were filled by interpolating spatially adjacent values (average of 3 × 3 pixels on the 9km grid), when these were available. Any remaining missing values were filled by interpolating temporally adjacent values (average of previous and following 8-day composites), when these were available. Otherwise the value was not filled. A 3-week running mean was applied to remove small peaks in chlorophyll-a. The timings of initiation and end of the phytoplankton growing period were detected as the weeks when the chlorophyll concentration in a particular year rose above the long-term median value plus 5% and later fell below this same threshold (Racault et al., 2012). The duration of the growing season is defined as the number of weeks between initiation and end.