This dataset contains visual and physical analyses of the impacts of ocean acidification on the skeletons of the cold-water coral <em>Lophelia pertusa</em>. Visual analysis includes synchrotron images from the Diamond Light Source and electron back scatter diffraction images on polished coral skeletons. Physical analyses include Raman spectroscopy data. Skeletal samples analysed were from the Southern California Bight (SCB), USA, and the Mingulay Reef Complex (MRC), UK. SCB samples were collected in 2010, 2014 and 2015. MRC samples were collected in 2012. Samples from the SCB were taken using a ROV at varying depths covering an environmental gradient with respect to aragonite saturation. Each sample represents an aggregation of <em>Lophelia pertusa</em> that was sampled with a basket attached to the ROV. The samples were transported to the surface and subsampled for live, ethanol preserved, frozen, and dried samples. Carbonate chemistry parameters of the water column were collected at the same time using a CTD and include temperature, salinity, oxygen, DIC, pH, and total alkalinity. Coral samples from the MRC were subjected to long term experimentation in projected future conditions. The conditions for MRC samples are outlined in Hennige et al. 2015. The coral samples were also analysed using a Scanning Electron Microscope (SEM) and these images are held at BODC and can be requested through this record. RAMAN spectroscopy and Electron Back Scatter Diffraction (EBSD) analysis was also used to further examine the corals under future projections of climate change. Ocean acidification is a threat to cold-water coral reefs in terms of dissolution to their skeletons, and their subsequent structural stability. This will likely determine the stability of the habitats they form. Work in the Southern California Bight was funded by the National Oceanic and Atmospheric Administration’s National Centers for Coastal Ocean Science. The study was supported by Diamond Light Source (DLS) experimental campaigns MT19794 and MT20412. This work was supported by an Independent Research Fellowship from the Natural Environment Research Council (NERC) to Sebastian Hennige (NE/K009028/1 and NE/K009028/2) and the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland), funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions. Experimental incubations for N. Atlantic corals were supported by the UK Ocean Acidification programme (NE/H017305/1 awarded to John Murray Roberts). Imaging analysis by Uwe Wolfram and Alexander Groetsch were supported by Engineering and Physical Sciences Research Council (EPSRC) of the UK under grant number EP/P005756/1.

This dataset is comprised of laboratory based culture experiments with five eukaryotic plankton species. The plankton were grown in culture media made up in filtered seawater collected from the continuous seawater supply system in the laboratories of the Centre for Environment Fisheries and Aquaculture Science (Cefas) in Lowesoft, UK, pumped from the North Sea. Experiments were undertaken between December 2017 and March 2019. The dataset also includes environmental data: dissolved oxygen concentration from water samples collected from CTD casts on the AMT28 cruise which took place from September 23 to October 30, 2018. This study contributes to the ‘Marine bacterioplankton respiration: a critical unknown in global carbon budgets’ project funded by The Leverhulme Trust (RPG-2017-089) and the ‘Remineralisation of organic carbon by marine bacterioplankton (REMAIN)’ project funded by NERC Discovery Science (grant reference NE/R000956/1 active from December 01, 2017 to November 30, 2020). Data were generated by Carol Robinson, Isabel Seguro, and E. Elena Garcia-Martin of the University of East Anglia.

Dataset was collated from surveys in the west side of Vavvaru Island, Lhaviyani Atoll, Maldives. The data were collected as a series of triplicate 25 m x 2 m transecs parallel to shore, at three locations on the reef flat: near (70 m from the shore), mid (140 m from the shore) and far (210 m from the shore). All locations were at similar depths of 1 m. This took place during March 2015. Along each transect the number and size of all coralliths and total number of non-free living individuals were recorded, alongside with several environmental parameters (Water Temperature, Photosynthetically Available Radiation (PAR), Total Alkalinity, Dissolved Inorganic Carbon and Dissolved Oxygen). Abundance and size of coralliths was recorded through non-invasive techniques and the environmental parameters were obtained through multiple instruments: Fluorometer, Oxygen sensor, spectrophotometry, Titration and a PAR logger. The aim was to examine whether corals have the capacity to create their own stable habitat through 'free-living stabilisation'. The work was supported by an Independent Research Fellowship from NERC to Sebastian Hennige (NE/K009028/1; NE/K009028/2), an Independent Research Fellowship from the Marine Alliance for Science & Technology for Scotland to Heidi Burnett, an Independent Research Fellowship from the Royal Society of Edinburgh / Scottish Government (RSE 48701/1) and NERC (NE/H010025) to Nick Kamenos, a Gilchrist Fieldwork Award to Heidi Burnett, Sebastian Hennige and Nick Kamenos by the Gilchrist Educational Trust, administered by the Royal Geographical Society (with the Institute of British Geographers), and a Research Incentive Grant from the Carnegie Trust for the Universities of Scotland to Heidi Burnett, Sebastian Hennige and Nick Kamenos (grant # 70013). Field sampling was under permission from the Maldives Ministry of Fisheries and Agriculture ((OTHR) 30-D/lNDIV/2015).

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 dataset comprises 169 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the South Atlantic Ocean and the South Pacific Ocean areas specifically the Scotia Sea and Drake Passage, during March and April of 1999. 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 East Anglia School of Environmental Sciences as part of the Antarctic Large Scale Box Analysis and The Role Of the Scotia Sea (ALBATROSS) project.

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 data set includes the classical oceanographic parameters of temperature, salinity, nutrients, oxygen, pH, alkalinity, and chlorophyll-a. This data set comprises more than 100,000 profiles collected by UK research and naval vessels in the shelf seas around the UK, the North Atlantic, the Norwegian Sea, the Barents Sea, the Mediterranean Sea, the South Atlantic, the Southern Oceans, the Indian Ocean, the Arabian Sea, the East Indian Archipelago (Indonesia) and the Pacific Ocean since the beginning of the twentieth century. In recent years, conductivity-temperature-depth (CTD) data have been collected in a higher resolution form than water bottle data; these have been included in this data set in a reduced resolution/water bottle form and merged with any available chemical parameters. This data set is one of the most complete of its kind in the world; the majority of the data known to have been collected prior to 1970 have been 'rescued' and work will continue to rescue the remainder. All of the profiles in this data set have been quality checked, cross-checked against original documentation, and all duplications removed. This data set has been compiled by the International Council for the Exploration of the Sea (ICES) Oceanographic Data Centre and is available from the ICES website.

The RAPID-AMOC (Rapid Climate Change - Atlantic Meridional Overturning Circulation) data set consists of pressure, current velocities, temperature, salinity, density, oxygen, alkalinity, pH, PCO2 and inorganic carbon time series. Measurements are collected by moored instruments deployed in arrays across the Atlantic at approximately 26.5N for the Monitoring the Atlantic Meridional Overturning Circulation at 26.5N (MOC) project and the Atlantic BiogeoChemical Fluxes (ABC Fluxes) project. The data set also consists of conductivity- temperature-depth (CTD) profiles, and ships' underway monitoring system meteorology and surface hydrography collected during the mooring deployment and servicing cruises. The RAPID-AMOC data set follows on from the original Rapid Climate Change (RAPID) Programme oceanographic dataset and the RAPID-WATCH dataset. It spans data collected from 2015 to the present and is intended to continue to collect data until approximately 2020. The main aims of the RAPID-AMOC Programme are to provide oceanographic measurements that continue the long time series of the Atlantic Meridional Overturning Circulation to be derived for use in climate change research. The MOC and ABC Fluxes projects are led by scientists at the National Oceanography Centre in Southampton.

This dataset comprises hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during November - December 1991. It incorporates the eastern on-shelf part of the Mull to Anton Dohrn section (Ellett Line). A shelf section running west from Islay. Sections in the North Channel from Islay-Lough Foyle, Islay-Kintyre, Copeland-Portpatrick, Corsewall-Sanda and Golloway-Kintyre plus a CTD survey of the Clyde Sea. The data were collected by the Dunstaffnage Marine Laboratory.

This dataset comprises hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during March 1992. It incorporates a CTD survey west of Scotland. The data were collected by the Dunstaffnage Marine Laboratory.