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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).
The RAGNARoCC dataset includes surface and deep ocean measurements of greenhouse gas concentrations including carbon dioxide, methane and nitrous oxide. The dataset was collected in the North Atlantic Ocean during the RRS James Clark Ross cruise JR20140531 (JR302) which surveyed from Canada, to Greenland, to the United Kingdom via Iceland. The JR302 cruise started on 6th June 2014 and finished on 22nd July 2014. Some water samples were analysed aboard ship, whilst others were subsequently analysed ashore. The dataset is based on data and water samples collected by surface underway measurements and during CTD stations from the RRS James Clark Ross. The RAGNARoCC dataset was collected to understand the size and variability of the sources and sinks of greenhouse gases between the ocean and atmosphere in the North Atlantic Ocean. The dataset was produced by various members of the RAGNARoCC project consortium. Dr. Brian King was the cruise principal investigator for JR302. The data are made available by the British Oceanographic Data Centre, with relevant data also contributing to community research portals such as http://www.socat.info/. The dataset currently includes some of the data from cruise JR302, but is expected to include additional data from JR302. Additional data is also expected from the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) mooring; the Voluntary Observing Ship (VOS) MV Benguela Stream; data from a Bay of Biscay Ferry-box route; and the RRS Discovery cruise DY040.
The General Bathymetric Chart of the Oceans (GEBCO) One Minute Grid is a global terrain model for land and sea at one arc-minute intervals. The grid is largely based on the bathymetric contours contained in the Centenary Edition of the GEBCO Digital Atlas, existing grids are used in some areas. The land areas are based on the Global Land One-km Base Elevation (GLOBE) Project data set. The grid was originally released in 2003 and updated in 2008 to include data from the International Bathymetric Chart of the Arctic Ocean (IBCAO), for the region north of 64N and also updates for shallower water regions off India, the Korean Peninsula and around South Afriaca, using data extracted from Electronic Navigation Charts (ENCs). The grid is available to download, in netCDF format, for free from the internet. Free software is available for viewing and accessing data from the grid in netCDF and ASCII. This includes an option to export the grid in an ASCII form suitable for conversion to an ESRI raster. The grid is also included in the GEBCO Digital Atlas DVD. It is not intended to make any further updates to this data set. In 2009, GEBCO released a new bathymetric grid, the GEBCO_08 Grid. This is a global terrain model at 30 arc-second intervals. It is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite derived-gravity data.
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).
The data set comprises time series of sea level data from coastal tide gauges. The data holdings include over 1000 site years of data from about 200 sites comprising about 10 million records. About 75 per cent of the data are from some 100 sites around the British Isles - the remaining data are from coastal sites and islands scattered across the globe. Data are primarily hourly values. Recording periods vary from one month at some sites to over several years.There are three short series from around the Irish coast which were collected in 1842.
The dataset combines fluorescent time-lapse sediment profile imaging (f-SPI) and diffusion gradient thin gels (DGT) to examine, in situ, the link between an important benthic ecosystem process (bioturbation) and ecosystem functioning (trace metal cycling) in Loch Creran, Scotland. The dimensions of the fg-SPI faceplate were 15x21.5cm (=322.50cm2), but after subtraction of the area occupied by the two DGT gels (=74cm2) the field of view reduces to 9x21.5cm (=248.5cm2). The camera (Nikcon D100, 2000 x 3000 pixels = 6 megapixels effective resolution = 75x75um per pixel) was set to an exposure of 1/60 f=2.0 and film speed equivalent to ISO 400. For each time-lapse sequence images were taken every 5 minutes for a period of 96h (n=1152 images per deployment). Three time-lapse movies are presented here to accompany Teal et. al. 2012 Biogeosciences. Data produced by Dr Lorna Teal (Institute for Marine Resources and Ecosystem Studies, IJmuiden), Dr Ruth Parker (Centre for Environment, Fisheries and Aquaculture Science), and Dr Martin Solan (National Oceanography Centre, Southampton).
This data collection consists of sea surface temperature (SST) data collected by recreational surfers around the southern UK and Western Ireland coastline over the period from 5th January 2014 to 8th February 2017. These data were collected as part of a research project supported by Plymouth Marine Laboratory. Over the study period, the recreational surfers collected 297 independent samples of SST. The surfers were equipped with a UTBI-001 Tidbit V2 Temperature Data Logger and a Garmin etrex 10 GPS. The Garmin etrex 10 device was used to extract GPS information (latitude and longitude) for each surf. The Tidbit V2 temperature logger was attached, using cable-ties, at mid-point to the leash of the surfboards to ensure continuous contact with seawater when surfing, measuring temperature in the top metre of the water column. Roughly every 6 months over the study period, the Tidbit V2 temperature loggers were rigorously compared with a VWR1620-200 traceable digital thermometer (with an accuracy of 0.05 degrees C at the range of 0 to 100 degrees C) at 1 degree C intervals from 6 to 25 degrees C using a PolyScience temperature bath. Over the study period, all sensors performed within the manufacturers technical specifications. A piecewise regression to model was used to correct any Tidbit V2 temperature data collected to remove systematic biases between sensors, such that the errors in each sensor were within the accuracy of VWR1620-200 traceable digital thermometer. Temperature data were collected at 10 second intervals during each surfing session. The data were processed to remove any data collected before and after entering the water and SST were extracted by computing the median of the remaining data. Standard deviations on the remaining data are also provided to give an index of SST variability during each surf session.
The data set comprises time series of wave height and period data from in-situ wave recorders at fixed locations. Principal parameters are significant/characteristic wave height and mean zero crossing period - usually derived from the analysis of 20 or 30 minute recordings taken at intervals of the order of 3 hours. Data holdings include over 1500 recording months of data from some 60 sites across the continental shelf areas around the British Isles and the NE Atlantic between 1954 and 1995. Recording periods vary from 2 months at some sites to over 15 years. The longer series are noted here: Channel Lightvessel (49 54.4N, 002 53.7W; 01 Sep 1979 - 31 Dec 1985); Dowsing Lightvessel (53 34.0N, 000 50.2W; 01 May 1970 - 30 Apr 1971; 01 Nov 1975 - 30 Jun 1981; 01 Jan 1982 - 31 Dec 1982; 01 Jan 1984 - 31 Dec 1984); Ocean Weather Ship Lima (57 00.0N, 020 00.0W; 01 Jan 1975 - 31 Dec 1983); Saint Gowan Lightvessel (51 30.0N, 004 59.8W; 01 Aug 1975 - 31 Jul 1976; 01 Dec 1976 - 31 Dec 1983); Seven Stones Lightvessel (50 03.8N, 006 04.4W; 31 Jan 1962 - 31 Jan 1963; 01 Jan 1968 - 31 Dec 1969; 01 Jul 1971 - 30 Jun 1974; 01 Apr 1975 - 31 Dec 1985). The data originate primarily from UK and Irish 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.
This dataset regroups the available data of measurements of iodide in the surface ocean (upper 20m). It includes digitised data from published manuscripts, published and unpublished data supplied by the originators themselves or provided by repositories. It contains 1342 datapoints and spans latitudes from -70˚S to 68˚N and data from all major ocean basins. The dataset contains data from 1967 to 2018 and is a collaboration of existing work which has 29 authors in total from various organisations around the world.
Macrofauna and polychaete species abundance data were obtained from replicate megacore samples collected from inside the Whittard Canyon (N.E. Atlantic) and the adjacent slope to the west of the canyon during cruise JC036 in June and July 2009. Four sites were sampled, three in the Whittard Canyon branches (Western, Central and Eastern) and one site on the slope to the west of the canyon. Five deployments were conducted in the Western branch, six in the Central and Eastern branches and five at the slope site. One extra deployment was made in the Central and Eastern branches to compensate for the failure to recover sufficient cores. All sites were located at 3500 m depth. Samples were collected using a Megacorer fitted with eight large (100 mm internal diameter) core tubes. Core slices from the same sediment layer from one deployment were pooled to make one replicate sample. The number of cores pooled per deployment ranged from 3 to 7 and the area of seabed sampled varied accordingly. The top three sediment horizons (i.e. 0–1, 1–3 and 3–5 cm), were analysed in toto. Macrofauna were identified to higher taxa levels, and polychaetes to species level and counts of species/taxa recorded for each site. AphiaIDs have been assigned to the samples - where identification was only possible to genus or family level, the aphiaIDs for genus and family have been supplied. The supplied aphaIDs are those that were acceptable at the time of the analysis and not their more recent superseding terms. This cruise was part of the HERMIONE project and the data formed the basis of L. Gunton's PhD thesis 'Deep-Sea Macrofaunal Biodiversity of the Whittard Canyon (NE Atlantic)'.