This dataset contains particle flux analyses and current measurements collected from sediment traps and associated moored current meter instrumentation. Four McLane sediment traps were deployed in the Iceland Basin (by the Ocean Weather Station India) in a mesoscale array around 60 degrees N 20 degrees W to sample particle flux time series between November 2006 - July 2007 and August 2007 - June 2008. Sediment traps were deployed with Aanderaa RCM8 current meters 15 m below the traps, recording current speed and direction once an hour. The sediment traps were initially deployed during RRS Discovery cruise D312 and recovered on RRS Discovery cruise D321. For the second deployment period the traps were deployed on RRS Discovery cruise D321 and recovered on RRS Discovery cruise D340. The first sediment traps were prepared for analysis by scientists shortly after recovery. The second deployment samples were stored in the dark at 4 degrees Celsius until 2016 and were subsequently analysed. All sediment trap samples are preserved with formalin and hence should not be affected by long time storage. The samples were analysed for mass flux, particulate organic carbon (POC) and nitrogen (PON) flux, calcium carbonate flux, biogenic silica flux (including dissolved contribution for deployment 2), strontium flux (including Acantharian cyst fractions for deployment 1 and 2 and particulate fractions for deployment 2). The samples from the latter part of deployment 2 are thought to have severely under collected and so those data are flagged. The dataset was produced for the purposes of calculating sediment fluxes in the Iceland Basin and was funded by the Natural Environment Research Council (NERC) - Oceans 2025 Programme (Grant number NE/L002531/1).

The dataset comprises 17 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the North East Atlantic Ocean (limit 40W) area specifically around Cape Verde and to the north east of the Canary Islands. The data were collected from February to April of 1972. 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 National Institute of Oceanography.

As part of the the CHIMNEY project (NERC grant NE/N016130/1), multibeam bathymetry data were collected during RRS James Cook cruise JC152 to a subsea chimney structure in the northern North Sea around Scanner Pockmark in August-September 2017. Multibeam data were acquired using a Kongsberg EM-710 multibeam echosounder and processed by the JC152 Science Party. In conjunction with seismic profile data acquired on the same cruise, these data will help scientists understand the surface and internal structure and origin of the chimney structure. This will facilitate estimation of the permeability of the chimney and its surroundings, and enable leakage pathways to be determined. The potential for past oil and gas reservoirs and saline aquifers to be used as Carbon Capture and Storage (CCS) reservoirs of atmospheric CO2 can subsequently be explored. The safety of storing CO2 in such reservoirs is dependent on fully exploring the risks of any leakage via such chimney structures, which the CHIMNEY project will investigate. CHIMNEY is funded by the Natural Environment Research Council (NERC), and involves scientists from the National Oceanography Centre, Southampton and the University of Edinburgh. Investigators will work closely with project partners GEOMAR, Lawrence Berkley National Laboratory, CGG and Applied Acoustics. The project is complementary to the EU-funded Horizon 2020 project: Strategies for Environmental Monitoring of Marine Carbon Capture and Storage (STEMM-CCS).

The data set comprises acoustic and associated environmental data from multi-parameter underwater acoustic experiments undertaken in the Gulf of Lions, N.W. Mediterranean and Loch Ness, Scotland. Measurements were made over the period 30 January 1995 to 22 September 1995. Of primary interest were shallow water (10-200m), medium range (1-10km) channels at communication frequencies in the 10-100kHz range. Modulation techniques used include: Carrier Wave, ASK, PSK, FSK, Multi-ASK, Multi-PSK and Multi-FSK. Multi-parameter underwater acoustic experiments were carried out under high level control and in total more than 36 Gigabytes of acoustic and associated environmental data were gathered. Experiments were carried out at medium depth (50-100m) in the Gulf of Lions and deeper water (50-200m) in Loch Ness, and the data were stored on a series of CD-ROMs. A suite of tests was performed over set ranges (1km, 7km, etc.). In general, each range was contained on a set of three CD-ROMs which specifically referred to individual parameters set for that particular range (e.g. location, gain levels, projector and hydrophone depths). Alongside the data recordings, the IRIG 'B' time signal was also recorded during all experiments to allow derivation of precise timings of all signal transmissions and receptions. This information is also contained on the CD-ROMs. Associated environmental parameters were recorded and documented. These data were collected using CTD profilers, thermistor chains, tide gauges, current flow meters and an ORETECH Weatherpak-400. The raw data were logged in an ASCII format on a DAT cartridge. The primary aim of EEVMAC (European Experimentally Validated Models for Acoustic Channels) was the generation of signals and the recording of data for propagation model validation in connection with the characterisation of underwater acoustic channels. Data were collected by researchers from Heriot-Watt University, UK and the Laboratoire de Physique et Chimie Marines (LPCM), France. The British Oceanographic Data Centre holds 19 Gigabytes of edited data on CD-ROM, along with copies of the raw environmental data. Further details on the environmental data can be sought from Laboratoire d’Oceanographie de Villefranche, formerly LPCM.

The dataset comprises 1 hydrographic data profile, collected by a conductivity-temperature-depth (CTD) sensor package, from the North East Atlantic Ocean (limit 40W) area specifically West of the Islamic Republic of Mauritania during April and May 1977. 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 Institute of Oceanographic Sciences Wormley Laboratory.

A collection of raw water temperature-depth-time profiles were recorded from a selection of dive computers, underwater cameras and baseline Castaway microCTD devices. Data were collected at Oban recompression chamber (owned and managed by Tritonia Scientific), as well as during sea dives local to 56.42 N, 5.47W, over a two-week period between 08/01/2020 and 07/02/2020. A number of different devices and models were tested during the study. Chamber dives were undertaken to test and compare device response time (29 devices over 11 dives) and accuracy (6 replicate dives). This was followed by local sea dives to further compare device accuracy. During each pair of sea dives (6 total), half of the devices were mounted on a frame with the remainder worn by two divers. For the subsequent dives in each pair, each device was switched to the alternate mounting position. Dive profiles were exported from individual dive computers into Subsurface open source software, then exported in ssrf (XML) format for each week of data collection. Profiles from all dive computers were combined for analysis. Castaway microCTDs and Paralenz Dive Camera+ profiles were exported as individual CSV files per dive. Data were collected as part of Celia Marlowe’s PhD project at the University of East Anglia, which aimed to assess the precision, accuracy and uncertainty in water temperature profiles collected from devices commonly carried by Scuba divers. The PhD project is part of the Next Generation Unmanned Systems Science (NEXUSS) Centre for Doctoral Training, funded by the Natural Environment Research Council (NERC) and the Engineering and Physical Science Research Council (EPSRC) (NE/N012070/1), and is additionally supported by Cefas Seedcorn (DP901D). The diving and chamber tests were supported through a NERC National Facility for Scientific Diving grant (NFSD/17/02).

Data from this project is a UK contribution to a US research cruise that aimed to examine the impact of wave breaking and bubble processes on air-sea gas exchange. Measurements were made of whitecap fraction, wave state, wave bubble statistics and bubble properties beneath breaking waves on the R/V Knorr KN213-3 cruise departing Nuuk, Greenland October 9, 2013 arriving at Woods Hole, USA on November 12, 2013. Instruments and platforms used included an 11 meter long free-floating spar buoy equipped with wave wires, a bubble camera, acoustic resonators, a Waverider buoy and ship measurements of aerosol fluxes. Data generation were funded by NERC parent grant NE/J020893/1 awarded to Professor Ian Brooks and associated child grants NE/J020540/1 and NE/J022373/2 awarded to Mr Robin Pascal and Dr Helen Czerski respectively.

This dataset comprises measurements of microbial uptake activities of betaine and choline, particulate phase osmolytes, amplicon sequencing of marker genese involved in Nitrogenous-osmolyte catabolism, and single cell genome data. Water samples were collected from at the L4 station of the Western Channel Observatory between April 27, 2015 to April 24, 2017 using Niskin bottles attached to a rosette sampler deployed from the RV Plymouth Quest. Nitrogenous osmolytes (glycine betaine, choline and trimethylamine N-oxide are essential components for most organisms in the marine environment. They enable cells to exist in a salty environment, but also have several other proposed uses. The aim of the project is to understand the seasonal cycle of glycine betaine, trimethylamine N-oxide and choline at Station L4. The water samples were analysed for the microbial assimilation and dissimilation activities using 14C labelled betaine and choline, respectively. The data will be incorporated to the European Regional Seas Ecosystem Model (ERSEM) coupled with the hydrodynamic model General Ocean Turbulent Model (GOTM) to simulate the N-osmolyte cycling at the L4 station. The data were collected under the project Biogeochemical cycling of N-osmolytes in the surface ocean funded by NERC Discovery Science grants NE/M002233/1 (parent), NE/M003361/1 (child), NE/M002934/1 (child). The grants were led by Dr Yin Chen, Dr Ruth Airs, and Dr Wei Huang respectively.

The dataset comprises 28 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the North East Atlantic Ocean (limit 40W) area including specifically the Porcupine Sea Bight area. The data were collected during April and May of 1978. 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 Institute of Oceanographic Sciences Wormley Laboratory.

This dataset consists of image mosaics of submarine canyons off Morocco collected using TOBI side-scan sonar on RV Maria S. Merian cruise MSM32, which occurred between 25 September and 30 October 2013. Imaging was conducted using a TOBI deep tow sidescan sonar, a high-resolution 2D seismic system consisting of a 150m long 88 channel digital streamer and a standard GI-gun. This cruise formed the field component of NERC Discovery Science project ‘How do submarine landslides disintegrate and form long run-out turbidity currents in the deep ocean, and how erosive are these flows?’ The study aimed to generate the first ever field dataset tracing a large-scale submarine landslide and its associated sediment-gravity flow from source-to-sink. This resulting dataset will aim to answer three important science questions: 1) How quickly do large submarine landslides disintegrate into long run-out sediment flows, and how is this process influenced by shape of the slope? 2) How efficiently do landslides remove failed material, i.e. what proportion of landslide debris is deposited on the slope and how much transforms into a flow that is transported distally? 3) How much sediment is incorporated into the flow through seafloor erosion, and where does most of this erosion take place? The Discovery Science project was composed of Standard Grant reference NE/J012955/1 and was led by Professor Russell Barry Wynn (National Oceanography Centre, Science and Technology). Funding ran from 07 June 2013 to 06 June 2014. Data have been received by BODC as raw files from the RRS James Cook and are available on request from BODC enquiries.