This dataset consists of silicon isotope data from deep-sea sediment cores taken off southeast Iceland. Samples of sea sponges were collected using piston cores and sediment cores aboard the RV Celtic Explorer in 2008 and dried or frozen for transportation. Organic matter was removed and samples were preserved for later analysis. Sample analysis occurred in 2012 as part of a comprehensive study of the carbon cycle. The data collected form the field component of the NERC-funded project "Unravelling the carbon cycle using silicon isotopes in the oceans". The project aimed to investigate deep sea sponges and the silicon they produce, in an effort to piece together the links between the supply of vital nutrients in different parts of the ocean and the crucial role other marine organisms play in absorbing CO2 from the atmosphere and storing it in deep sea sediments as organic carbon. The Discovery Science project was composed of New Investigators (FEC) Grant reference NE/J00474X/1 led by Dr. Katherine Rosemary Hendry of Cardiff University, School of Earth and Ocean Sciences. The project ran from 26 January 2012 to 30 September 2013. The silicon isotope data have been received by BODC as raw files, and will be processed and quality controlled using in-house BODC procedures and made available online in the near future. The raw files are available on request.
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.
The Mediterranean-Alpine Experiment (MEDALPEX) data set comprises over 200,000 hourly sea level measurements. Data are included from 28 sites around the northern coast of the Mediterranean and one in the Atlantic at Cadiz. Measurements were collected from December 1981 and September 1982, with a special observing period (SOP) between 15 February and 30 April 1982. Twenty eight coastal sites were instrumented with conventional stilling wells, while one offshore site off Corsica used a bottom pressure recorder. The data are stored, together with benchmark information, as time series at each site with hourly values of sea surface elevation recorded to the nearest millimetre. The aim of the MEDALPEX Experiment was to study the role of atmospheric forcing on the dynamics of the Western Mediterranean. Data were supplied by laboratories in Belgium, France, Monaco, Italy, Spain, UK and former Yugoslavia. Responsibility for assembling, quality controlling and analyzing the sea level data collected during MEDALPEX was vested in the British Oceanographic Data Centre (BODC).
This dataset comprises Acoustic Wave and Current (AWAC) profiler data collected in the coastal waters of St Vincent, in the Caribbean Sea. The data were collected betewen 26th July 2018 and 10th October 2018 and 15th January 2019 to 20th March 2019 as part fo two deployments. An AWAC profiler was deployed at approximately 10 metres depth in the shallow coastal waters, south of Georgetown, St Vincent. The dataset is part of the Commonwealth Marine Economies Programme which was launched in 2016 to help support the marine economies of commonwealth small island developing states (SIDS).
This database, and the accompanying website called ‘SurgeWatch’ (http://surgewatch.stg.rlp.io), provides a systematic UK-wide record of high sea level and coastal flood events over the last 100 years (1915-2014). Derived using records from the National Tide Gauge Network, a dataset of exceedence probabilities from the Environment Agency and meteorological fields from the 20th Century Reanalysis, the database captures information of 96 storm events that generated the highest sea levels around the UK since 1915. For each event, the database contains information about: (1) the storm that generated that event; (2) the sea levels recorded around the UK during the event; and (3) the occurrence and severity of coastal flooding as consequence of the event. The data are presented to be easily assessable and understandable to a wide range of interested parties. The database contains 100 files; four CSV files and 96 PDF files. Two CSV files contain the meteorological and sea level data for each of the 96 events. A third file contains the list of the top 20 largest skew surges at each of the 40 study tide gauge site. In the file containing the sea level and skew surge data, the tide gauge sites are numbered 1 to 40. A fourth accompanying CSV file lists, for reference, the site name and location (longitude and latitude). A description of the parameters in each of the four CSV files is given in the table below. There are also 96 separate PDF files containing the event commentaries. For each event these contain a concise narrative of the meteorological and sea level conditions experienced during the event, and a succinct description of the evidence available in support of coastal flooding, with a brief account of the recorded consequences to people and property. In addition, these contain graphical representation of the storm track and mean sea level pressure and wind fields at the time of maximum high water, the return period and skew surge magnitudes at sites around the UK, and a table of the date and time, offset return period, water level, predicted tide and skew surge for each site where the 1 in 5 year threshold was reached or exceeded for each event. A detailed description of how the database was created is given in Haigh et al. (2015). Coastal flooding caused by extreme sea levels can be devastating, with long-lasting and diverse consequences. The UK has a long history of severe coastal flooding. The recent 2013-14 winter in particular, produced a sequence of some of the worst coastal flooding the UK has experienced in the last 100 years. At present 2.5 million properties and £150 billion of assets are potentially exposed to coastal flooding. Yet despite these concerns, there is no formal, national framework in the UK to record flood severity and consequences and thus benefit an understanding of coastal flooding mechanisms and consequences. Without a systematic record of flood events, assessment of coastal flooding around the UK coast is limited. The database was created at the School of Ocean and Earth Science, National Oceanography Centre, University of Southampton with help from the Faculty of Engineering and the Environment, University of Southampton, the National Oceanography Centre and the British Oceanographic Data Centre. Collation of the database and the development of the website was funded through a Natural Environment Research Council (NERC) impact acceleration grant. The database contributes to the objectives of UK Engineering and Physical Sciences Research Council (EPSRC) consortium project FLOOD Memory (EP/K013513/1).
This dataset consists of coccolithophore abundances in the North Atlantic that were collected from 37 CTD casts during three RRS Discovery cruises (D350, D351, D354) in the spring and summer of 2010. Water samples (0.2-1 L) were collected from CTD casts and filtered through cellulose nitrate (0.8 µm) and polycarbonate (0.45 µm or 0.8 µm) filters, rinsed with trace ammonium solution, oven dried (30-40 °C, 6-12 h) and stored in Millipore PetriSlides. The filters were examined using a Leo 1450VP scanning electron microscope, with coccolithophores identified following Young et al. (2003), and enumerated from 225 fields of view (Daniels et al., 2012). The detection limit was estimated to be 0.2-1.1 cells mL-1. The samples were collected to investigate coccolithophore community dynamics in the North Atlantic as part of the Irminger Basin Iron Study (IBIS)(D350, D354), Extended Ellett Line (EEL)(D351) and a NERC Fellowship. Samples were collected on D350 by Martine Couapel, on D351 by Stuart Painter and on D354 by Alex Poulton and Mike Lucas. In the lab, samples were prepared and processed by Chris Daniels, Elena Maher and Jonathan Hurst, and were analysed for coccolithophore abundances by Chris Daniels and Jeremy Mirza. The data are held at the British Oceanographic Data Centre (BODC). Daniels, C. J., Tyrrell, T., Poulton, A. J., and Pettit, L.: The influence of lithogenic material on particulate inorganic carbon measurements of coccolithophores in the Bay of Biscay, Limnol. Oceanogr., 57, 145-153, doi:10.4319/lo.2012.57.1.0145, 2012. Young, J. R., Geisen, M., Cros, L., Kleijne, A., Sprengel, C., Probert, I., and Ostergaard, J.: A guide to extant coccolithophore taxonomy, J. Nannoplankt. Res. Special Issue, 1, 1-132, 2003.
The LOCATE (Land Ocean CArbon TransfEr) project in the UK consists of measurements of dissolved organic carbon (DOC), nutrients, temperature, salinity, alkalinity and sediment in rivers and estuaries combined with a terrestrial model to predict the future evolution of the land ocean carbon flux. LOCATE samples identify the amount of organic carbon, washed from soils, enters the oceans, with emphasis on estuaries and coastal waters. The LOCATE project integrates knowledge and skills across NERC terrestrial, freshwater and marine research centres to transform the UK’s ability to measure, model and predict land-ocean fluxes in a changing environment. LOCATE is a collaboration between the National Oceanography Centre (NOC), the Centre for Ecology and Hydrology (CEH), the British Geological Survey (BGS) and the Plymouth Marine Laboratory (PML). LOCATE is funded by the Natural Environment Research Council (NERC) from 2016 until 2021. The estuarine and oceanographic data are held by the British Oceanographic Data Centre (BODC), the river data are held by the Environmental Information Data Centre (EIDC).
The dataset consists of northward and eastward baroclinic and barotropic current vectors derived from a 40 year run of the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model, run from 01 January 1964 to 31 December 2004. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format. The data are supplied as a gridded dataset covering the entire northwest European continental shelf and extending out into the Atlantic Ocean. The grid resolution varies from 7.8 km to 14.2 km along the longitudinal axis and is at 12.3 km on the latitudinal axis. The model contains 40 depth layers. The model run was from 01 January 1964 to 31 December 2004. The barotropic currents were generated every 20 seconds, while the baroclinic currents were generated every 300 seconds. These generated currents were then averaged over a 25 hour tidal cycle to remove tidal current influence from the data. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format. The model simulations were run on the HECTOR supercomputer managed by the University of Edinburgh. The data were generated by the National Oceanography Centre (NOC) Liverpool as part of Natural Environment Research Council (NERC) National Capability (NC) funding looking at multi-decadal variability and trends in temperature of the northwest European continental shelf.
To understand seasonal climatic variability in the North East Atlantic, a fortnightly resolution marine climate record from 1353–2006 was constructed for shallow inshore waters on the west coast of Scotland using red coralline algae. The data are available in an Excel file as mean winter and summer temperatures with 95% confidence intervals for each year from 1353 to 2006. SCUBA was used to collect a 46 cm core from a coralline algal (Lithothamnion glaciale) deposit in Loch Sween, Scotland. The core was frozen and sectioned longitudinally and into 2 cm horizons. Coralline algae from each horizon were sectioned along the length of each thallus. Mg, Ca, and Sr were quantified along each thallus using electron microprobe analysis. For the live collected surface specimens, this process enabled absolute dates to be assigned to each year’s growth band present within the coralline algae. Five thalli down core were selected for radiocarbon rangefinder dating at the Scottish Universities Environmental Research Centre. Live thalli and the five rangefinder thalli were used as anchor points in construction of a combined chronology which was fine-tuned using dendrochnological techniques. Twenty seven (including anchors) Mg/Ca time series were available; each from an individual thallus. The work was funded by the Natural Environmental Research Council and the Royal Society of Edinburgh.
This dataset consists of data from one station (Batiki01) that is are part of a network of temperature sensors on the coastal domain of about twenty territories ReefTEMPS (https://journals.openedition.org/netcom/1294) coordinated by the Grand Observatoire de l'environment et de la biodiversite terrestre et marine du Pacifique Sud (GOPS). The dataset consists of temperature data from a temperature logger attached to a coral head recording temperature every 30 minutes at around 10 metres depth with QC being applied following collection of the logger. The data were collected in the coastal waters of Batiki Island, Fiji (latitude=-17.777467, longitude=179.179867, 2012 to 2015).