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).
This dataset comprises physical, chemical and biological oceanographic measurements collected from the Mid-Atlantic Ridge as part of the UK’s ‘RidgeMix’ project between 2015 and 2016. Physical measurements include water column profiles of temperature, conductivity, current speed/direction and turbulence. These are supplemented by i) chemical samples targeting inorganic nutrients, oxygen and isotopes of radium/nitrate ii) biological samples to understand plankton distribution and to determine chlorophyll and enzyme concentrations. Samples were collected from the water column above the Mid-Atlantic Ridge, between latitudes of approximately 23 and 39 Degrees North. Sampling commenced in September 2015 with the deployment of moored sensors (thermistors, MicroCATs and ADCPs). This was followed up with a dedicated research cruise (JR15-007) between May and July 2016. During this cruise standard observational measurements were undertaken (including CTD, LADCP, SADCP and discrete water sampling), together with more specialised data collection activities (including deployment of turbulence profilers, standalone pumps, zooplankton nets, ocean gliders and a drifting wirewalker mooring). The cruise was also used to recover the moored instruments deployed the previous year. RidgeMix aims to investigate the mixing from internal tides over ridges and seamounts and the biogeochemical implications of this. The project is funded by a Responsive Mode grant from the UK’s Natural Environment Research Council (NERC) and runs from 2014 until 2019. RidgeMix is led by Professor Jonathan Sharples from the University of Liverpool, in collaboration with Principal Investigators from the National Oceanography Centre (Dr Matthew Palmer) and University of Southampton (Professor Alberto Naveira Garabato). This dataset collection brings together the observational component of RidgeMix. Users are advised to contact Principal Investigators for access to associated ocean modelling output from the project. Assembly of the observational dataset is still ongoing with BODC currently holding CTD and discrete sample data (chlorophyll and dissolved inorganic nutrients).
The data set comprises hydrographic data, including salinity, temperature, depth, dissolved oxygen, transmittance and chlorophyll. Chemical and biological measurements of water samples, such as dissolved inorganic nutrients, trace metals (including iron and aluminium), dissolved oxygen, biogenic silica, particulate inorganic/organic carbon and particulate organic nitrogen. Also included are the results of biological experiments focusing on iron and ecosystem grazing pressures. This data set was generated by two research cruises (RRS Discovery cruises D350 and D354) carried out as part of the Irminger Basin Iron Study (IBIS). Data were collected from the Irminger and Iceland Basins on the cruises, which took place between 26/04/2010 and 11/08/2010. Standard cruise measuring techniques, including CTD casts, the ship’s underway system, discrete water sampling and SeaSoar surveys were carried out. In addition, water was collected from an epoxy-coated tow fish and pumped directly into a clean chemistry container using a Teflon pump system through acid washed PVC tubing. Experimental work was performed to measure the biological response to both artificial manipulation of the availability of the micronutrient iron and grazing pressure. Measurement of the uptake rate of various substrates was further performed using a variety of tracer techniques. The study aimed to study the iron biogeochemistry in the high attitude North Atlantic, assess whether community productivity in parts of the North Atlantic is iron limited following the annual spring bloom and determine the factors that lead to this situation. Collectively, the sampling methods adopted as part of IBIS provide a good understanding of the water column structure and the processes taking place within it. The data were collected by scientists at the National Oceanography Centre (NOC) under the supervision of Eric Achterberg. Hydrographic data from the CTDs and underway system (together with associated discrete chemical and biological sample data) are currently held at the data centre. The remaining data described are yet to be supplied.
This dataset consists of near real-time ocean observations from an autonomous underwater glider, sampling at the Joint North Sea Information System (JONSIS) hydrographic section (2.23°W to 0° at 59.28°N) between 12th October and 2nd December 2013. The measurements were made by a Seaglider (serial number 502) and consist of full-depth temperature, salinity, oxygen, chlorophyll and optical backscatter observations. Dive-average current observations were also collected. This dataset contains standard raw NetCDF (.nc), engineering (.eng) and log (.log) files captured using Seaglider base station version V2.05. The glider deployment was a collaborative effort between the University of East Anglia (UEA) and Marine Scotland Science. Deployment took place from Research Ship MRV Scotia, whilst recovery utilised MPV Jura. The JONSIS repeat section crosses the path of the Fair Isle Current and the East Shetland Atlantic Inflows, key routes by which Atlantic water enters the northern North Sea.
The Scottish Environment Protection Agency (SEPA) Marine National Environmental Monitoring Buoy Network provides real time, high frequency environmental data from strategic locations around the Scottish coast, as part of SEPA obligations to monitor the marine environment. The monitoring buoy network has been in place in some places from as early as 1996 with more buoys being deployed for ongoing measurements of the marine environment. Continuous monitoring equipment gathers dissolved oxygen, water temperature, salinity and chlorophyll-a data at regular intervals. The data is stored internally and downloaded at regular maintenance intervals. Data is collected by SEPA from monitoring buoys, mostly every 15 minutes. The data was submitted to the British Oceanographic Data Centre (BODC) for "data banking." Data has been removed as part of the SEPA quality control procedure leading to periods of absent data. This also occurs through power failure or lack of deployment. Further quality control by BODC will flag suspect data. The data is used to assess the state of the marine environment at representative locations. Salinity is used to indicate changes in water masses. Salinity decreases as freshwater inputs increase and oxygen is more soluble in freshwater than seawater. Water temperature is closely linked to seasonal changes and oxygen becomes less soluble as the water temperature increases. Chlorophyll-a is an indicator of the biomass of phytoplankton. Phytoplankton blooms are common occurrences at the start and end of the growing season in spring and autumn however excessive phytoplankton is indicated by enhanced abundance throughout the growing season (90 percentile concentration >15 µg/l measured from April to September). Excessive phytoplankton growth may cause an undesirable disturbance to the ecosystem if the decaying algae remove oxygen from the water column and sea bed as a result of microbial breakdown. Dissolved oxygen is one of the most important indicators of the health of a water body and high levels are needed to support a variety of marine life. Dissolved oxygen concentrations are affected by salinity, temperature and phytoplankton growth. Dissolved oxygen produced by photosynthesis may result in supersaturation (>100%) during the growing season. Dissolved oxygen is removed by the microbial breakdown of organic matter.
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 dataset comprises 118 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, within the North East Atlantic Ocean area, incorporating the Dunstaffnage Marine Laboratory Rockall via Anton Dohrn (Ellett Line) section, a series of shelf sections to the west of Islay. Sections in the North Channel from Islay-Lough Foyle, Copeland-Portpatrick, Corsewall-Sanda and Galloway-Kintyre. A CTD survey of the Clyde Sea. The data were collected during September and October of 1992. 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 Dunstaffnage Marine Laboratory.
This dataset comprises hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during June - July 1983. It incorporates a survey of the Discovery Gap region (vicinity 37 N, 17 W), three sections forming a triangle between autonomous listening station moorings at 35 N, 21 W, 34.5 N, 26 W and 30 N, 23.5 W and a survey associated with a current meter array west of Madeira (vicinity 32 N, 20 W). 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 comprises hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during January - February 1983. It incorporates a section along 19-20W from 47N down to 40.5N, a section along 41-42N from 19W to 12W and spot calibration casts associated with SeaSoar tows. The data were collected by the Institute of Oceanographic Sciences Wormley Laboratory.
The Changing Arctic Ocean (CAO) data set comprises hydrographic data, including measurements of temperature, salinity and pigments. The study area was the Arctic Ocean, more specifically the Barents Sea. The data were collected by a research cruise from June to August 2016. Shipboard data collection involved the deployment of conductivity-temperature-depth (CTD) packages. The CAO programme aims to understand the changes in the Arctic marine ecosystem in a quantifiable way, which will allow computer models to help predict the consequences of these changes on, for example, surface ocean productivity, species distributions, food webs and ecosystems, and the services they provide (ecosystem services) . It is a NERC funded programme that draws on collaboration between the Scottish Association for Marine Science (SAMS), University of Liverpool (UoL), University of Leeds (ULeeds), University of Edinburgh, University of Oxford, Scottish Universities Environmental Research centre (SUERC), University of Strathclyde, University of St. Andrews, University of Southampton, University of Manchester, Durham University, University of Bristol, Universite Libre de Bruxelles, Sir Alister Hardy Foundation for Ocean Science (SAHFOS), National Oceanography Centre (NOC), Newcastle University, British Antarctic Survey (BAS) and Plymouth Marine Laboratory (PML), . The programme is divided in four projects with the following Principal Investigators : Arctic PRIZE (Arctic productivity in the seasonal ice zone), led by Finlo Cottier from SAMS, ARISE (Can we detect changes in Arctic ecosystems?), led by Claire Mahaffey from UoL, ChAOS (The Changing Arctic Ocean Seafloor), led by Christian Maerz from ULeeds and DIAPOD (Mechanistic understanding of the role of diatoms in the success of the Arctic Calanus complex and implications for a warmer Arctic), led by David Pond from SAMS. The majority of the data will be managed by the British Oceanographic Data Centre (BODC), with a minority of data sets (mainly related to biology) being submitted to the Polar Data Centre (BAS-PDC).