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Dissolved oxygen parameters in the water column

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  • 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.

  • 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 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 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 observations from two autonomous underwater gliders deployed by the University of East Anglia, UK and Sultan Qaboos University, Oman. The two Seagliders, Humpback serial number SG579 and Orca serial number SG510, collected data to investigate physical-biological interactions in the water column. The gliders were deployed in the Gulf of Oman approximately 10 km from Muscat, at the 120 m isobath. Both gliders repeatedly surveyed a 76 km section across the shelf, continental slope and open ocean between 24°15’ N, 59° E and 23°39.5’ N, 58°39’ E. Humpback, SG579 obtained 1,424 vertical profiles over a 91 day period (4 March 2015 to 3 June 2015), repeating the section 24 times. Orca, SG510 obtained 1,646 vertical profiles over a 109 day period (9 December 2015 to 27 March 2016), repeating the section 28 times. The glider data were processed using the UEA Seaglider Toolbox and standard techniques were used for calibration of the data. The data are held at BODC as a series of netCDF, .eng and .log files alongside a .mat file containing all processed data.

  • 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.

  • 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 made (to date) on the project, the mooring dataset and cruise data. NERC have added a 2-year extension to UK-OSNAP, until October 2020. This covers a 2-year deployment of 3 moorings in the Iceland Basin as partof the international OSNAP programme. The moorings will be recovered in 2020.

  • The dataset comprises 16 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the Indian Ocean area specifically in the Madagascar and Mascarene Basins, during July and August of 2001. 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 Cambridge Department of Earth Sciences.

  • The dataset comprises 23 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the North East Atlantic Ocean (limit 40W) area specifically west of the Cruiser Tablemount, during October and November of 1980. 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.