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Energy resources

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  • This dataset was collected on the cruise JC136 in May and June 2016. This cruise is associated with a NERC joint standard research grant (NE/K011855/1 and NE/K013513/1) entitled “Influence of population connectivity on depth-dependent diversity of deep-sea marine benthic biota”. The aims of the project are to investigate connectivity among deep-sea populations at different depths and spatial scales using: 1) larval dispersal modelling using Lagrangian particle tracking, driven by hydrographic models, 2) population genetics/genomics, and 3) benthic community analysis. The aims of cruise JC136 were then to sample a range of sites and depth bands to: 1. obtain physical samples of 4 model organisms for molecular analysis, 2. gather benthic biological survey data for community level analysis, 3. collect oceanographic data to validate high-resolution oceanographic models with which we will model larval dispersal. The chief scientists of this cruise were Kerry Howell (University of Plymouth School of Marine Science and Engineering) and Michelle L Taylor (University of Oxford Department of Zoology). This dataset contains a variety of navigation data (position, heading, bathymetry), atmospheric measurements (air temperature, wind speed and direction, irradiance and humidity) and sea surface hydrographic data (transmittance, chlorophyll fluorescence, sea surface temperature and conductivity). Data were collected in the NE Atlantic (Rockall Bank, George Bligh Bank, Anton Dohrn Seamount, Wyville-Thomson Ridge, Rosemary Bank) from 27 ROV dives, 12 AUV missions, 43 CTD casts, 2 mooring deployments and equipment trials. All cruise aims were broadly met. 3630 biological samples were obtained, including sufficient depth and site coverage for molecular analysis of 3 target species. Video transect data was also obtained, with sufficient replication and depth stratification from 3 sites and near complete sampling from a 4th. This cruise provides sufficient oceanographic data to validate our models. In addition, 5811.66 km2 of seafloor multibeam was collected to contribute to ongoing efforts to map the North Atlantic, including the first multibeam from the Geike Slide and Hebridean Slope Nature Conservation Marine Protected Area (NCMPA). Poor visibility at the seabed prevented a planned resurvey of the Darwin Mounds Marine Protected Area (MPA).

  • The Joint Air-Sea Interaction (JASIN) 78 Project Data Set comprises a variety of measurements including upper air and near surface meteorology, and physical oceanography. Meteorological data include air temperature, pressure, humidity and wind, while oceanographic data include temperature, salinity, currents, wave spectra and short-term wave statistics. The data were collected in the North Rockall Trough, an area of deep water (1000m - 2000m) several hundred kilometres off the west coast of Scotland. The experiment lasted for 2 months from mid-July to mid-September 1978 and comprised 2 intensive observational phases preceded by a preparatory test period. Data were collected using a variety of instrumentation, with meteorological data being provided by radiosondes, tethered balloons, and ship- and aircraft-mounted sensors. Hydrographic data were collected via shipboard deployment of conductivity-temperature-depth (CTD) sensor packages (both standard and yoyo profiles), towed thermistor chains, ship-mounted wave recorders and moored temperature and current meters. The JASIN Project was designed to study the interaction of the atmospheric and oceanic boundary layers with the large scale motions of the sea and air. The multiplicity of processes sampled necessitated a large experiment and involved more than 50 teams of investigators from nine countries. The data are held at the British Oceanographic Data Centre and many series are available via BODC's online data delivery portal.

  • This dataset comprises 84 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in February 2008 from 2 sites over 25 hour tidal cycles, in Welsh and Hilbre Channels of the Dee Estuary. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Proudman Oceanographic Laboratory as part of the Proudman Oceanographic Laboratory Dee Experiment.

  • The dataset comprises measurements of hydrographic, bathymetric, sedimentary and meteorological parameters. These include water currents, temperature, salinity and wave parameters; suspended and seabed sediment; coastal geomorphological characteristics; and atmospheric temperature, pressure, humidity, irradiance and wind velocities. The study area was centred on the tidal inlet within the Peninsula do Ancao, Ria Formosa National Park, Algarve, Portugal. Field measurements were collected in the offshore area, the surf zone, beach experiments, the inlet areas and the inlet mouth between January and March 1999. The study utilised moorings, sediment grabs, tidal predictions, radar systems, acoustic Doppler current profiler (ACDP) surveys, a jack-up barge, beach experiments, video tower images, aerial surveys, seabed photographs and field campaign images. INDIA aimed to gain a better understanding of the interactions between tides, waves, currents and sedimentary processes at work in the European coastal zone with a view to predicting change. INDIA was coordinated by the University of Liverpool, Department of Civil Engineering. Data have been provided and/or modelled by a number of organisations from countries including France, Poland, Portugal, Australia, Netherlands, USA and the UK. Data management support for the project was provided by the British Oceanographic Data Centre. All data collected as part of the project were lodged with BODC who had responsibility for assembling and fully documenting the data.

  • This dataset comprises metocean (current, wave,wind, meteorology and water level) data collected by oil companies Shell, BP and Total at their offshore oil and gas fields worldwide. It does not included the hindcast modelling simulations which were run on behalf of these oil companies; just the metocean measurements. Additionally, some data on the effect of water motion on platform stability, corrosion (dissolved oxygen concentration), ice thickness and movement and hydrography (vertical profiles of salinity, temperature and density and occasionally sound velocity) are included. The vast majority of the data were measured by instruments, although some human observations of wind speed and wave height and direction are also included. Geographic coverage is worldwide, according to the location of offshore oil and gas fields: NE and NW Atlantic, North Sea, Norwegian Sea, Mediterranean Sea, Adriatic Sea, Caspian Sea, Red Sea, Gulf of Aden, Gulf of Oman, Persian Gulf, Gulf of Mexico, Gulf of Guinea, South Atlantic, Magellan Straits, Sea of Okhotsk, Indian Ocean, South China Sea, Seram Sea, Malacca Straits, Makassar Strait. The earliest dataset was collected in 1961 and the most recent in 2010. Collection is ongoing. At present, there are over 2550 datsets covering more than 2000 years of observations of winds, waves, currents and sealevels.

  • This dataset consists of a variety of hydrographic, biological, biogeochemical and meteorological data. Underway automatic sampling followed by flow cytometry was used for assessing mesoscale spatial variability of microorganisms. Coarse-scale (CTD) and fine-scale (PumpCast profiler) vertical distribution of microorganisms was determined, with dominant microbial prokaryotic and eukaryotic groups quantified by flow cytometry. Samples were collected and processed for subsequent molecular identification of flow cytometrically sorted dominant microbes. Abundance of larger microplankton organisms was assessed. Microbial respiration in the twilight zone was studied. Group-specific uptake of bicarbonate, phosphate and different nitrogen compounds was determined and group-specific production and grazing assessed using flow sorting. The ambient turnover rates of phosphate, organic phosphorus and labile dissolved organic matter, e.g. amino acids, was bioassayed. In order to put the microbial community data into context, physical and chemical parameters were measured. A ship mounted Acoustic Doppler Current Profiler (ADCP) was used to collect information about physical, mesoscale spatial context and, when combined with turbulence profiler data, SeaSoar profiler data and data collected using intensive Conductivity, Temperature and Depth (CTD) sampling for dissolved inorganic nutrients, may estimate mesoscale nutrient fluxes into the photic zone. PELAGRA neutral buoyancy sediment traps were used to estimate biogenic sedimentation. Samples were collected for particulate calcite, opal, and Particulate Organic Matter (POM) measurements, together with the isotopic composition of Particulate Organic Nitrogen (PON). Data collection was in the North Atlantic subtropical gyre between 9th August and 15th September 2011 during RRS Discovery cruise D369. The data were collected as part of the United Kingdom (UK) Natural Environment Research Council (NERC) Oceans 2025 programme (Theme 2). D369 was the last of three National Oceanography Centre 'process study' research cruises to be run by the Ocean Biogeochemistry and Ecosystems research group under the NERC Ocean 2025 research programme. The Principal Scientist was Mikhail V Zubkov of National Oceanography Centre, Southampton. Data from this cruise are held at the British Oceanographic Data Centre.

  • This dataset comprises 19 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during January-February 1995 from stations along the North Sea coastal strip between Great Yarmouth and Berwick upon Tweed. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Plymouth Marine Laboratory as part of the Land Ocean Interaction Study (LOIS) Rivers, Atmosphere and Coasts Study (RACS).

  • The dataset comprises concentration of gas hydrates beneath the seabed, in the water column and, atmosphere along with the topography of the sea floor. Data were collected in the Arctic Ocean off the NorthWestern coast of Svalbard across the continental margin between 78 and 80 North and 4 and 11 East. The data were collected during cruise JR211 which, over two legs, took place between 23rd August 2008 and 24th September 2008. Geophysical and geological techniques were used to detect methane hydrate beneath the seafloor and to investigate features trough which methane escapes to the seafloor. The seabed was imaged and mapped using a multibeam sonar (Simrad EM120), an echosounder (Simrad EK60), TOBI deep-towed sidescan sonar (30 kHz), widescan sidescan sonar (100 and 350 kHz). The sedimentary layers and geological structures beneath the seabed were imaged with the 7 kHz profiler in TOBI, a TOPAS sub-bottom acoustic profiler and multichannel seismic reflaction (96 channels with 6.25 m group spacing) using two air guns in true GI mode 45/105 cu.in. More accurate information on seismic velocity was obtained by deploying ocean-bottom seismometers on the seabed which contained 3 Sercel L-28 4.5 Hz geophones and a High Tech HTI-90-U hydrophone. Sediment samples were obtained using a piston corer, a gravity corer and, a box corer. Water chemistry was measured from discrete samples taken from bottles attached to the conductivity-temperature-depth (CTD) sensor package and continuously from the ship's seawater supply. Methane concentration was measured on-board using a headspace technique. Air samples were collected at 12 hour intervals. Sampling occurred on the Navigation Bridge deck and the side of the ship upwind of the ships emissions was chosen each time. Additional samples were also collected close to the ship's funnel, to check for contamination, and from the gas released by the cores when in an inert atmosphere (N2). Analysis of methane mixing ratio is performed by Gas Chromatography - Flame Ionisation Detector (GC-FID) and the stable carbon isotopic composition of methane is analysed using a continuous flow Gas Chromatography - Isotope Ratio Mass Spectrometry (GC-IRMS) system. Almost half of the Earth's carbon is stored in gas hydrates and related shallow gas deposits. Numerical models predict that this reservoir is highly mobile and that escaping gas has a significant potential to accelerate climate change releasing as much as 2000 Gt of methane over a short period of time. As methane is a potent greenhouse gas it would course further global warming. Arctic gas hydrates are most vulnerable to future climate change because (1) it is predicted that temperatures will increase faster in the Arctic than in low latitudes (2) the intercept of the gas hydrate stability zone with the seabed is within the reach of fast warming surface waters and (3) the water column above the vulnerable zone of gas hydrates is smaller than in warmer oceans facilitating more efficient transport of greenhouse gases to the atmosphere. This information will allow a detailed assessment of the mobility of Arctic gas hydrates and it will significantly decrease the uncertainties involved in climate modelling. The data were collected by the National Oceanographic Centre, Southampton with Professor Tim Minshull as the principal scientist on-board.

  • This dataset comprises 4 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in January 1995 from stations in the English Channel and coastal waters between the Humber and the Wash. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the University of Wales, Bangor School of Ocean Sciences as part of the Land Ocean Interaction Study (LOIS) Rivers, Atmosphere and Coasts Study (RACS).

  • This dataset comprises 33 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during September - October 1998 along the Atlantic Meridional Transect (AMT) from the UK to the Falkland Islands. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Plymouth Marine Laboratory as part of the Atlantic Meridional Transect (Phase 1) programme.