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).
This dataset comprises sea surface temperature measurements taken close to the time of high water at intervals of three to four days. The measuring programme consisted of approximately 50 observing sites around the shoreline of England and Wales and the data set spans the time period from 1963 to 1990. A few observing sites were already in existence when the network was established, for example observations at the Seven Stones and Varne Light Vessels go back as far as 1905. The Ministry of Agriculture, Fisheries and Food Lowestoft Fisheries Laboratory (MAFF), now known as the Centre for Environment, Fisheries and Aquaculture Science Lowestoft Laboratory (CEFAS) - part of the Department for Environment, Food and Rural Affairs (Defra), set up a database for these data, supplemented by both the earlier data and also by data from non-MAFF sources. Data from 1963 until 1990 are held at the British Oceanographic Data Centre (BODC). The time series is ongoing but data later than 1990 are not stored at BODC, these data are available from CEFAS.
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.
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.
A novel temperature dataset for northern high latitude Seas (ATLAS) is a dataset of three-dimensional temperature derived from combining quality controlled Argo float measurements with marine mammal mounted Satellite Relay Data Loggers (SRDLs) profiles. Using data values gathered from across the North Atlantic region, a 1×1 degree gridded temperature dataset of the average monthly values from January 2004 to December 2008, with 15 vertical layers between 0–700 m was produced. Built as complementary to existing ship-based fields, the ATLAS dataset is a community resource to help determine the impacts of climate change on the Labrador and Nordic Seas regions. The data were collated by the National Oceanography Centre (NOC) and are made available from the British Oceanographic Data Centre (BODC).
The dataset comprises current profiles and temperature data from 9 half-day survey cruises in the Pentland Firth during April, June, July and October 2009. The data were collected using an acoustic Doppler current profiler (ADCP) mounted on the Aurora, the Environmental Research Institute (ERI) survey vessel, and have been fully processed and calibrated by Dr Lonneke Goddijn-Murphy from the Environmental Research Institute, University of the Highlands and Islands prior to submission to the British Oceanographic Data Centre (BODC). The circulation patterns of the inner sound, Pentland Firth were studied. The purpose of the study was to improve knowledge and capabilities for understanding wave and tidal renewable energy devices and predicting environmental impacts of renewable energy development. The data are available on request from BODC.
This dataset is comprised of CTD temperature, salinity and potential temperature collected using seal tags. Data were collected as part of the NERC-funded project 'Ocean processes over the southern Weddell Sea shelf using seal tags'. Data were not collected as part of a cruise as seals were used as data activity platforms. 20 Weddell seals were tagged at the eastern end of the shelf-break north of the Filchner-Ronne Ice Shelf between 11 February 2011 and 03 May 2011. The aims of the project were: 1. The resulting data from the seals’ dives will provide the most comprehensive picture to date of the ocean conditions over the southern Weddell Sea continental shelf. 2. By mapping the temperature of the water near the sea floor it will be possible to determine the locations where dense waters leave the shelf, and the processes involved: either a direct flow down the slope under gravity, or initially mixing at the shelf edge with waters from off the shelf before descending down the slope. 3. To determine where the source waters come onto the shelf. 4. Though the research was primarily oceanographic, the movements and diving behaviour provide insight to seal biologists studying the animals' beahviour. Data were collected as part of NERC standard grants NE/G014086/1 and NE/G014833/1. NE/G014086/1 was the lead grant and was led by Dr Keith William Nicholls of NERC British Antarctic Survey, Science Programmes and runs from 01 April 2010 to 31 December 2018. The secondary grant, NE/G014833/1, was led by Professor Michael Fedak of University of St Andrews, Sea Mammal Research Unit and runs from 01 October 2010 to 28 February 2014. The seal tag CTD data have been received by BODC and are currently available in original format upon request.
The UK Argo programme data set comprises measurements of ocean temperature and salinity and provides information of surface and subsurface Lagrangian (measuring movement by tracing the path of a passively drifting object) displacement enabling the derivation of currents. The data set includes a mixture of near-real-time (quality controlled to operational ocean forecasting standards) and delayed mode (quality controlled to climate research standards) data collected by profiling floats. The UK floats from part of a global array throughout the world oceans. Real-time data are available within 24 hours of the float surfacing while delayed mode data become available within 12 months of the profile date. Floats drift at their parking depth (between 1000m and 2025m) for 5 or 10 days depending on float programming. Traditionally floats measured temperature and conductivity at regular intervals during their rise to the surface. In October 2007, the Argo programme achieved its goal to have (and maintain) more than 3000 active floats. As of 2012, some newly deployed floats are being programmed to collect data whilst drifting at their parking depth and during their ascent and additional oceanographic parameters, for example fluorescence, optical backscatter, and dissolved oxygen are being trialled for inclusion in the data set. The data has a variety of uses including assimilation into operational weather forecasts in near-real-time to climate research with the delayed mode data. The data set also includes Argo floats deployed by Mauritius, Saudi Arabia (one float in the Red Sea) Ireland and Portugal, as the British Oceanographic Data Centre manages the data from these floats in addition to those of the UK Argo programme.
These seabed and sea surface light data were collected in the Bay of Brest, Brittany, France, in 2011-2012. R.V. Albert Lucas and smaller vessels were used for deployment and recovery of the seabed light sensor instrumentation. Corresponding time series records of seabed and sea surface irradiance were collected. Water depth above, and water temperature at the position of the sensor were also recorded. The data were collected as part of a project studying the effect of tidal variations in water depth and clarity on the light that reaches the seabed (Roberts et al., 2014; Roberts, 2015). They were collected by Bangor University scientists (primarily E.M. Roberts), assisted by contacts at the Centre d'Etudes Techniques Maritimes et Fluviales (CETMEF, now Cerema) and the Institut Universitaire Europeen de al Mer (IUEM).
This dataset comprises hydrographic data from conductivity and temperature sensors deployed at fixed intervals on moorings within the water column or close to the sea bed on benthic frames. The measurements were collected at five sites within the Faroe – Shetland channel during the FS Poseidon cruise PO328 between 07 and 23 September 2005. The data have been processed, quality controlled and made available by the British Oceanographic Data Centre (BODC). The data were collected as part of the Slope Mixing Experiment, a Proudman Oceanographic Laboratory (POL) core Natural Environment Research Council (NERC) funded project, which aimed to estimate slope mixing and its effects on waters in the overturning circulation. Detailed in situ measurements of mixing in the water column) were to be combined with fine resolution 3-D and process models. The experiment was lead by POL, in collaboration with the School of Ocean Sciences, University of Wales, Bangor; the Scottish Association for Marine Science (SAMS); the University of Highlands and Islands and the Institute of Marine Studies (IMS) at the University of Plymouth. The Slope Mixing Experiment dataset also includes conductivity-temperature-depth (CTD) profiles, moored Acoustic Doppler Current Profilers (ADCP), vessel mounted ADCP sensors as well as 3-D and process models. These data are not available from BODC.