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 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 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).
The dataset comprises chlorophyll-a concentrations from water samples taken during RRS James Clark Ross cruise JR304, from 15/11/2014 - 17/12/2014. The cruise sailed from Punta Arenas, Chile, returning to Stanley, Falkland Islands. 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. 112 samples were collected from the ship’s uncontaminated underway supply, with an intake at approximately 6 m depth, every two hours during transit periods. 103 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 milliQ 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 taken by Jenny Thomas (BAS), Gabi Stowasser (BAS), Sophie Fielding(BAS), Vicky Peck (BAS), Jess Gardner (University of East Anglia and BAS), Cecilia Liszka (BAS), Manon Duret (National Oceanography Centre, NOC), Anna Belcher (NOC), Anna Mikis (Cardiff University) , Marianne Wootton (Sir Alistair Hardy Foundation for Ocean Science), Sebastien Floter (GEOMAR Kiel). Chlorophyll samples were analysed aboard the R.R.S. James Clark Ross by Manon Duret and Anna Belcher from NOC.
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.
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.
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.