This dataset consists of current velocity measurements of the water column from an upward-looking Acoustic Doppler Current Profiler (ADCP) deployed on the seabed and also includes CTD casts from an SBE 911+ CTD taken a long the Wyville Thompson Ridge. The mooring is situated in the region of the Wyville Thomson Ridge – a notable bathymetric feature running north-west from the Scottish shelf towards the Faroe Bank. The gully present between the Ridge and the parallel Ymir Ridge is the study site chosen for mooring work that began in 2003 and ended in 2013. Mooring deployment durations have typically ranged from between five and twelve months. Successive deployments have enabled a multi-year time series to develop. There have, however, been periods of instrumentation loss, which account for some gaps in the overall record (most noticeably during 2008/2009). Servicing of the mooring has been achieved using various research vessels and has often been incorporated into the schedule of the annual cruises occupying the Extended Ellett Line. The mooring consists of an anchored buoy housing an RDI Long Ranger ADCP, designed to rest on the seabed, with the instrument facing upwards. Current velocity measurements from the mooring help to provide valuable insight into regional ocean circulation. A small, poorly quantified, component of the southward-flowing deep water from the Arctic cascades over the Wyville Thomson Ridge from the Faroe Bank Channel into the northern Rockall Trough. Maintaining this time series will afford a better understanding of this outflow. The Wyville Thomson mooring work is led by Toby Sherwin at the Scottish Association for Marine Science (SAMS).

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.

This dataset consists of optical and acoustic seabed profiles of near bed hydrodynamics, bed morphology and suspended material in the water. Fieldwork was carried out by a team of researchers over a two week period, 24 May to 04 June 2013, surveying an area near Hilbre Island in the Dee Estuary. Measurements were taken in the inter-tidal and sub-tidal zones. Measurements were collected at three sites within the sampling area. A SEDbed suite of acoustic and optical instruments were deployed at each station to collect data. These instruments included CTD, LISST, Acoustic Doppler Velocimeter, Bedform and suspended sediment imager, Multi-tier sediment trap and 3-D Acoustic Rippler Profiler. The data collection described formed the fieldwork component of the NERC-funded project “Realistic Sedimentary Bedform Prediction: Incorporating Physical and Biological Cohesion (COHBED)”. The project was undertaken with the aim to produce information about the growth, movement and stability of bedforms that consist of natural mixtures of sands and muds. The project was composed of Standard Grant reference NE/I027223/1 as the lead grant with child grants NE/I026863/1, NE/I024402/1, NE/I02478X/1. The lead grant runs from 05 January 2012 to 04 July 2015 and the child grants run from 15 December 2011 to 14 June 2015 (NE/I026863/1), 01 January 2012 to 30 June 2015 (NE/I024402/1), and 01 January 2012 to 31 October 2015 (NE/I02478X/1). Dr Jacobus Hugo Baas of Bangor University, School of Ocean Sciences was the principal investigator of the lead grant of this project. The child grants were led by Dr Sarah Bass of University of Plymouth, School of Engineering, Professor Daniel Roy Parsons of University of Hull, Geography, Environment and Earth Science, and Professor Daniel Paterson of University of St Andrews, Biology, respectively. The data described here have been received as raw files by BODC and will be processed using our in-house systems and made available online in the future.

This dataset comprises hydrographic sections, together with measurements collected by ocean gliders and moored instrumentation deployed during the UK Overturning In the Subpolar North Atlantic Programme (UK-OSNAP). UK-OSNAP is the UK contribution to the International OSNAP Programme. The dataset also includes modelling output informed by the observations. OSNAP observations are focused on two lines: i) OSNAP West, extending from south Labrador to southwest Greenland and ii) OSNAP East from southeast Greenland to Scotland. Data collection commenced June 2014 and is ongoing. UK-OSNAP consists of cruises JR302, PE399, DY053, DY054, two alternating glider deployments, current meter moorings (five at Cape Farewell and three in the Rockall trough) and ADCPs in the Rockall Trough Shelf Edge Current. The model data addresses the Subpolar Gyre circulation and fluxes using data assimilation and theoretical analysis. The datasets assembled as part of UK-OSNAP provide a continuous record of full-depth, trans-basin mass, heat, and freshwater fluxes in the North Atlantic Subpolar Gyre. These, coupled with the associated modelling exercises help improve the understanding of the circulation and fluxes of the North Atlantic Subpolar Gyre. UK-OSNAP, funded by the Natural Environment Research Council (NERC) is led by the National Oceanography Centre (NOC). UK-OSNAP is a partnership between NOC, Scottish Association for Marine Science (SAMS), University of Oxford and the University of Liverpool. It is part of international OSNAP that is led by USA and includes 10 further partner groups in Canada, France, Germany, the Netherlands and China. Investigators: National Oceanography Centre (NOC): Dr Penny Holliday, Dr Sheldon Bacon, Dr Chris Wilson, Neill Mackay. Scottish Association for Marine Science (SAMS): Dr Stuart Cunningham, Prof Mark Inall, Loic Houpert. University of Oxford: Prof David Marshall, Dr Helen Johnson. University of Liverpool: Prof Ric Williams, Dr Vassil Roussenov. The full dataset is still being assembled and currently consists of near real time glider measurements, mooring data and cruise data. NERC have added an extension to UK-OSNAP, until October 2024. This will result in the UK-OSNAP-Decade: 10 years of observing and understanding the overturning circulation in the subpolar North Atlantic (2014-2024).

The MASSMO 5 dataset includes the near real time transmitted EGO (Everyone’s Gliding Observatories) NetCDF versions of glider data collected by five submarine gliders across three deployment campaigns. Recovery versions of data downloaded from the all gliders with no quality assurance are also available on request. Glider sensor suites included CTD, bio-optics, and oxygen optodes. Parameters observed include, temperature, salinity, chlorophyll fluorescence, optical backscatter, and oxygen data. The MASSMO 5a mission focused on the period 23 Jun 2018 to 06 Jul 2018 and included three submarine glider deployments (UK glider deployments only are included in this dataset). All assets were deployed from NRV Alliance in partnership with NATO-CMRE, but were recovered prematurely due to vessel technical issues. The primary geographic focus of MASSMO 5 was the outer shelf and upper slope off northern Norway, in the region between Bear Island and southern Spitsbergen, but outside the 12 mile territorial limits of these islands. The MASSMO 5b mission occurred within the period 17-24 Oct 2018, a total of three ocean gliders were deployed. The primary geographic focus of MASSMO5b was the northern North Sea to the east of the Orkney archipelago. The MASSMO 5c mission was aborted and no data were collected. The MASSMO 5d mission occurred within period 26 Apr 2019 to 6 May 2019, there was deployment of a single ocean glider. The primary geographic focus of MASSMO 5d was the Faroe Shetland Channel. MASSMO 5 was co-ordinated by the National Oceanography Centre (NOC) in partnership with University of East Anglia (UEA), Plymouth Marine Laboratory (PML) and Scottish Association for Marine Science (SAMS). The mission was sponsored by Defence Science and Technology Laboratory (DSTL) and involved close co-operation with the NATO Centre for Maritime Research and Experimentation (CMRE) and UK Royal Navy, and was supported by several additional commercial, government and research partners.

The Marine Autonomous Systems in Support of Marine Observations (MASSMO) campaign 4 dataset includes data collected by 8 submarine gliders, 2 wavegliders and one autonomous surface vehicle. The dataset comprises recovery version data. i.e. the data downloaded from a vehicle at the end of its mission. The data obtained from gliders operated by the University of East Anglia (UEA) is fully quality controlled. No quality control procedures have been applied to the data obtained from all other autonomous vehicles. Parameters observed include, temperature, salinity, chlorophyll fluorescence, optical backscatter, oxygen, acoustic noise and video data. The dataset was collected within the UK sector of the Faroe-Shetland Channel, focussing on the outer shelf and upper shelf. The work area had a bounding box of 58-62 degrees north and 2-9 degrees west. The MASSMO 4 campaign was run between 1st June 2017 until 7th June 2017 while platforms were deployed they were collecting data continuously. The dataset was collected using a mixture of three autonomous surface vehicles and eight submarine gliders. Glider sensor suites included CTD, bio-optics, oxygen optodes, and passive acoustic sensors. Additionally the surface vehicles were equipped with meteorological sensors and cameras. The campaign comprised a range of oceanographic data collection, but had a particular focus on passive acoustic monitoring of marine mammals and oceanographic features, and included development of near-real-time data delivery to operational data users. MASSMO 4 was co-ordinated by the National Oceanography Centre (NOC) in partnership with University of East Anglia (UEA), Plymouth Marine Laboratory (PML) and Scottish Association for Marine Science (SAMS). The mission was sponsored by Defence Science and Technology Laboratory (Dstl) and involved close co-operation with the NATO Centre for Maritime Research and Experimentation (CMRE) and UK Royal Navy, and was supported by several additional commercial, government and research partners.

The Monterey Bay Coordinated Canyon Experiment (CCE) collected physical oceanographic data in the Monterey Canyon study area, off the coast of Central California over an 18 month period between October 2015 and April 2017. This project was a long term effort to monitor turbidity currents using a variety of new instruments and technologies to assess movement of water and sediment, assess evolution and shape of the sea floor and monitor physical processes within flows at various spatial scales. Measurements were taken using an array of instruments which include: moorings; sediment traps, Acoustic Doppler Current Profilers (ADCP); transmissometers; vertical profilers; Benthic Instrument Nodes (BIN); Sediment Transport Event Detectors (STEDs); Benthic Event Detectors (BEDs); Autonomous Monitoring Transponder (AMT); wave sensors, autonomous underwater vehicles and wave gliders. The Monterey Bay Coordinated Canyon Experiment project was led by Monterey Bay Aquarium Institute (MBARI) in collaboration with researchers from the United States Geological Survey (USGS), Ocean University of China (OUC), National Oceanography Centre (NOC) Southampton and University of Hull, UK. MBARI are responsible for the long term data management of all datasets generated by the project. Datasets are hosted at the Marine Geoscience Data System (MGDS), a full data report is available from https://www.mbari.org/science/seafloor-processes/geological-changes/coordinated-canyon-experiment-datareport-main-page/.

This dataset contains wave spectra, wave statistics and current data collected by surface and subsurface moorings across three sites in the Bristol Channel between March 2010 and April 2011. A Datawell Mk.III directional Waverider buoy was moored at one site collecting wave spectra and statistics data while Nortek Acoustic Wave and Current meters (AWAC) were moored at the seabed in trawl resistant frames at two sites. The AWACs collected wave data from the surface and current data through the water column split into 2 m bins. TRIAXYS directional wave sensors with onboard Nortek Aquadopp current profilers were also deployed at the two sites. Like the AWAC moorings, the TRIAXYS moorings collected wave data from the surface and current data through the water column split into 1 m bins. The data were collected as part of the environmental impact assessment of the proposed Atlantic Array offshore wind farm. GEMS Survey Ltd were contracted to conduct the data collection and provided the data to The Crown Estate as the landowner of the UK seabed out to 12 nautical miles. The data and associated metadata reports are held at the British Oceanographic Data Centre, as a MEDIN Data Archiving Centre.

Data from the MarineE-tech project were collected via three platforms; ship, Autonomous Underwater Vehicle (AUV) and Remotely Operated Vehicle (ROV). Shipboard data includes multibeam bathymetry, sub-bottom profiler, gravimeter and moorings data, plus CTD casts and gravity core samples. AUV data consists of high-resolution multibeam bathymetry, sub-bottom profiler, CTD, LADCP, turbidity and magnetics data, plus camera stills. ROV data consists of video and camera stills plus grab samples and drill core samples. Also available are numerical model results and input files from the TELEMAC-3D numerical model developed by HR Wallingford and used to predict currents during plume dispersion experiments. Data were collected from the Tropic Seamount in the Northeast Atlantic Ocean between October and December 2016. A second cruise, DY094, collected data from the Rio Grande Rise and Sao Paulo Ridge region in the Southwest Atlantic Ocean from late 2017 to early 2018. The project deployed robotic underwater technology including the use of the 6500m depth-rated ISIS remotely operated vehicle to sample over 100 locations of FeMn crusts and the 6000m rated AUV Autosub6000 to image the lateral extent and thickness of crusts across the seamounts. Benthic landers and moored instruments such as ADCPs (for disturbance plume monitoring) were also deployed. The JC142 oceanographic data provided verification for the TELEMAC-3D numerical model. This research will improve understanding of the processes controlling the concentration of E-tech deposits and their composition at a local scale, and for the potential impacts of mineral recovery to be identified. MarineE-tech is jointly funded by the Natural Environment Research Council (NERC), Security of Supply of Mineral Resources (SoS Minerals), Engineering and Physical Sciences Research Programme (EPSRC), and the Sao Paulo Research Foundation (FAPESP). Other parties involved include the British Geological Survey (BGS), University of Sao Paulo, University of Bath, University of Leicester, HR Wallingford, Marine Ecological Surveys Ltd (MESL), Secretariat of the Pacific Community (SPC) and Soil Machine Dynamics Ltd (SMD).

This dataset consists of measurements of conductivity, temperature, depth, fluorescence, optical backscatter, oxygen, and turbulence microstructure collected from gliders, as well as temperature depth measurements from moored Acoustic Doppler Current Profiler and turbulence microstructure measurements from microstructure profilers. The ADCP was moored to a depth of 476m in Ryder Bay, West Antarctic Peninsula, between 01 March 2016 and 12 December 2016. The mooring was deployed on R/V Lawrence M Gould cruise LMG16-01 and recovered on RRS James Clark Ross cruise JR16003. NOC and BAS Gliders were deployed during the 2014/2015 and 2015/2016 Antarctic field seasons and MSS Microstructure profilers were deployed between February and August 2016 from Rothera, within the Ryder Bay area. This cruise formed the field component of NERC Discovery Science project "What controls the influx and mixing of warm waters onto the polar ocean shelves?" The main objectives of the project were: 1. To quantify, describe and understand the spatial and time-varying patterns of lateral and vertical mixing on the West Antarctic Peninsula shelf. 2. To resolve the dominant mechanisms driving lateral and vertical heat fluxes, with a specific focus on understanding how and where heat from the deep ocean waters is transferred to the upper ocean. 3. To understand the role of key shelf-edge processes in controlling these phenomena, in particular by understanding and quantifying the importance of these processes in causing intrusions of warm, saline deep-ocean waters onto polar shelves. To deliver on these objectives, the project used data from both traditional and novel oceanographic platforms, with the aim of describing how warm waters move from shelf edges to coasts, where land-based melting of ice can occur. Discovery Science Research Fellowship grant NE/L011166/1 was led by Dr James Alexander Brearley at the National Environmental Research Council (NERC), British Antarctic Survey (BAS), Science Programmes. Funding ran from 09 June 2014 to 08 June 2019. Glider, moored ADCP and MSS microstructure profiler data have been received by the British Oceanographic Data Centre (BODC).