Phytoplankton taxonomic abundance in water bodies

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  • The Iodide in the ocean project brings together marine and atmospheric scientists in order to address uncertainties in the marine iodine flux and associated ozone sink. Specifically, it aims to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition. It contains data from a combination of laboratory experiments, field measurements and ocean and atmospheric modelling from three cruises as well as worldwide sea surface measurements from 1967-2018 from published manuscripts, published and unpublished data supplied by the originators themselves or provided by repositories. Iodide, iodate and total iodine concentrations were measured on three cruises: BOBBLE, June to July 2016 in the Bay of Bengal, Sagar-Kanya33 in September 2016 in the Arabian Sea and ISOE9 in January to February 2017 in the Indian and Southern Oceans. Samples were taken from Niskin bottles on conductivity-temperature-depth (CTD) profilers. Laboratory experiments consisted of phytoplankton cultures to measure rates of iodate incorporation and iodide production. This work was carried out by Lucy Carpenter (PI), Claire Hughes (Co-PI) , Liselotte Tinel, and Helmke Hepach at York University, Mark Evans (Co-PI) at the University of Edinburgh. It was funded by the NERC Discovery Science project Iodide in the ocean: distribution and impact on iodine flux and ozone loss (parent grant reference NE/N009983/1 with child grants NE/N009444/1 and NE/N01054X/1 led by Stephen Ball and David Stevens respectively).

  • This dataset contains CTD, chlorophyll, and phytoplankton abundance and biomass data gathered through analysis of discrete water samples collected from multiple sailings of the RV Callista. The data were collected offshore of Falmouth, UK to explore the seasonally stratified waters of the Western English Channel in June and July 2013. Discrete water samples were taken with CTD profiles to examine the phytoplankton communities of subsurface chlorophyll maxima. Phytoplankton taxa/groups were identified, counted, and converted to a measure of biomass to analyse phyotplankton communities to determine if subsurface chlorophyll maximum thin layers (<5m thick) have a distinct phytoplankton community structure to that of broader maxima. The data were collected by Michelle Barnett as part of her PhD study funded by the Graduate School of the National Oceanography Centre, Southampton.

  • This data set comprises hydrographic measurements including temperature, salinity, fluorescence, attenuance, dissolved oxygen concentrations and current velocities. Water samples were also collected for salinity and geochemical analysis, and the data set also includes bathymetric, sediment and upper ocean turbulence measurements. The data were collected over six Science Missions at the Strait of Sicily, West Coast of Scotland (Loch Etive and Loch Fyne), North-East Scotland and Shetland Islands, North Weddell Sea, Isles of Scilly, Southern North Sea (Norfolk Bank) over the period 19 April 1999 – 25 May 2001. The data were collected by both shipboard sensors and those attached to the Autosub (Autonomous Underwater Vehicle) package. Shipboard data collection included deployment of a conductivity-temperature-depth (CTD) package with attached auxiliary sensors. Lowered acoustic Dopper current profilers (LADCPs) were also attached to the CTD frame, while discrete water samples were collected from the CTD stations. Oceanographic, bathymetric and sediment data were collected along the ship’s track. Autosub measurements included standard environmental parameters and acoustic instruments were used to measure ocean bottom relief at high resolution. A camera was also attached to the vehicle, permitting the collection of detailed photographs of the seabed. The broad aims of the Autosub Programme are the collection of interdisciplinary data sets that cannot be obtained by research ships, and demonstration to the scientific and wider user community of the usefulness of an AUV. Investigators: David A Smeed, Kate Stansfield, Julian Overnell, Kenny D Black, Peter Statham, Chris German, Andrew S. Brierley, Paul G. Fernandes, Mark A. Brandon, Alex Cunningham, Peter Burkill, Glen Tarran, Prof. Mike Collins, Dr George Voulgaris, Dr John Trowbridge, Dr Eugene Terray, Steve A Thorpe and Thomas Osborn. The British Oceanographic Data Centre holds the Autosub navigation files, CTD and ADCP data for each of the missions listed above. The data are contained as high resolution time series. The data are presently being processed and have not been fully quality controlled. The Autosub science missions brought together researchers and engineers from a number of UK institutions, with the project being coordinated by the National Oceanography Centre, Southampton.

  • The Shelf Sea Biogeochemistry (SSB) data set comprises hydrographic data, including measurements of temperature, salinity and currents, complemented by bathymetric and meteorological data. The study area is located in the Celtic Sea, shelf seas and shelf-edges around the United Kingdom and Republic of Ireland. The data were collected by a combination of research cruises that spanned from March 2014 to September 2015. Shipboard data collection involved the deployment of conductivity-temperature-depth (CTD) packages in the study area. Continuous measurements of current velocities (using vessel mounted ADCPs, VMADCPs), bathymetry and surface ocean and meteorological properties were collected throughout each cruise. Moorings were deployed in the Celtic Sea in early 2014 and provided approximately two years worth of hydrographic time series data. The SSB programme aims to increase the understanding of the cycling of nutrients and carbon and the controls on primary and secondary production, and their role in wider biogeochemical cycles, which in turn will significantly improve predictive marine biogeochemical and ecosystem models over a range of scales. SSB brings together UK researchers from Bangor University, Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Meteorological Office, National Oceanography Centre (NOC), Plymouth Marine Laboratory (PML), Scottish Association for Marine Science (SAMS), University of Aberdeen, University of East Anglia (UEA), University of Edinburgh, University of Liverpool, University of Oxford, University of Portsmouth and University of Southampton. It also has UK and Irish partners, as Agri-Food and Biosciences Institute (AFBI), Marine Institute and Marine Scotland Science. The programme was divided into five work packages, having Jonathan Sharples as the Principal Investigator for work package 1 (CANDYFLOSS), Martin Solan as Principal Investigator for work package 2 (Biogeochemistry, macronutrient and carbon cycling in the benthic layer), Peter J. Statham as Principal Investigator for work package 3 (Supply of iron from shelf sediments to the ocean), Icarus Allen as Principal Investigator for work package 4 (Integrative Modelling for Shelf Seas Biogeochemistry) and Keith Weston as Principal Investigator for work package 5 (Blue Carbon – How much carbon is stored in UK shelf seas, what influences storage and could it be used in carbon trading?). All data will be managed by the British Oceanographic Data Centre (BODC).

  • The data set comprises hydrographic and biogeochemical and biological measurements including temperature, salinity, currents, chlorophyll, dissolved organic and inorganic carbon and nitrogen, suspended matter concentrations, nutrients, plankton and fish. The results of primary production experiments are also included. The data were collected from the Bristol Channel, Severn Estuary, Celtic Sea and Plymouth Sound between 1971 and 1983. Measurements were taken over a series of more than 100 cruises, many with more than 50 stations. The most intensive sampling took place before 1975. The original data were collated and stored at Institute for Marine Environmental Research (IMER), which became Plymouth Marine Laboratory in 1988. As this is a large and important data set, which was previously held in an inaccessible format, it was selected for long-term archival at BODC as part of the NERC SEEDCORN programme. The data have been extracted, loaded into a relational database and are available on CD-ROM.

  • The dataset contains physical, biological and chemical oceanographic measurements, and meteorological data. Hydrographic measurements include temperature, salinity, attenuance and backscatter, pH and dissolved oxygen concentrations, while water samples were analysed for concentrations of carbon, nitrogen, hydrocarbons, nutrients and pigments. Samples were also collected for phytoplankton and zooplankton analyses, while results from production experiments are also included in the data set. These oceanographic data are supplemented by surface meteorological measurements. Measurements were taken at sites in the Bellinghausen Sea as part of a 2-ship Eulerian experiment between the 28th of October and the 17th of December 1992. The data were collected via (i) underway sampling (SeaSoar Undulating Oceanographic Recorder (UOR), lightfish, hull-mounted acoustic Doppler current profiler (ADCP), meteorology and surface ocean parameters) of which there are 121179 records and (ii) discrete sampling (conductivity-temperature-depth (CTD) and expendable bathythermograph (XBT) casts, bottle stations, net hauls, productivity incubations) of which there are over 1000 deployments and experiments. The study aimed to measure the magnitude and variability of carbon and nitrogen fluxes during early summer in the Southern Ocean, with particular emphasis on rates and processes in the marginal ice zone. The data were collected and supplied by UK participants in the Joint Global Ocean Flux Study (JGOFS). The British Oceanographic Data Centre (BODC) are responsible for calibrating, processing, quality controlling and documenting the data and assembling the final data set. Underway data are stored as 1 minute interval time series for each cruise with all parameters merged on date/time. The data are fully quality controlled; checks were made for instrument malfunction, fouling, constancy, spikes, spurious values, calibration errors, baseline and salt-water corrections. The discrete data are stored in a relational database (Oracle RDBMS), chiefly as vertical profiles and are uniquely identified by a combination of deployment number and depth.

  • The programme involved two major fieldwork activities: a deep ocean research cruise and a programme of freshwater studies. The marine component of the dataset generated a total of 430 distinct variables, quantifying the meteorology, hydrography, chemistry, biogeochemistry, and the microbial plankton (bacteria, phytoplankton and microzooplankton) biomass, taxonomic composition along the 5500 km cruise track in the Indian Ocean during August-September 2001. Measurements were mainly made on water samples collected either from the sea surface while the ship was underway or from a range of depths during conductivity-temperatue-depth (CTD) and water sampling stations at each of 11 sites occupied in the Indian Ocean. The maximum depth sampled at open ocean sites ranged from 300 to 3000 m. Short sections of 300 m deep CTD and fluorescence profiles were also obtained using a moving vessel profiler (MVP). The freshwater component of the dataset generated variables from Priest Pot in the Lake District and from a range of other freshwater sites around the UK. It contains underpinning weekly time-series measurements characterising the physical, chemical and biological condition of the water column at the Priest Pot sampling site between 2002-2004, together with data from studies focused on the seasonal and spatial dynamics of viruses, bacteria and picophytoplankton, trace metal distribution and the ubiquity of microbial protists. The database also contains 376 gene sequences from genetic material extracted from environmental samples. The programme was a 5-year Thematic Programme funded by the Natural Environment Research Council (NERC) and the purpose of the study was to improve understanding of aquatic microbial biodiversity, with the emphasis on community interactions, ecosystem function (e.g. biogeochemical cycling of carbon and nutrients, and the potential for biotechnological exploitation. The programme involved scientists from the Plymouth Marine Laboratory, the National Oceanography Centre Southampton, University of Cardiff School of Biosciences, University of Cardiff School of Earth and Ocean Sciences, University of Warwick School of Biological Sciences, University of Newcastle School of Civil Engineering and Geosciences, University of Bristol School of Biological Sciences, University of Oxford Department of Zoology, University of Liverpool School of Biological Sciences, University of Stirling School of Biological and Environmental Sciences, the Marine Biological Association of the UK, Lancaster University Department of Environmental Science and the Centre for Ecology and Hydrology (CEH) Lancaster and Dorset.

  • The dataset comprises a wide range of physical and biogeochemical oceanographic and atmospheric parameters, plus additional biological measurements and observations. Hydrographic parameters include temperature, salinity, current velocities, fluorescence and attenuance, while biogeochemical and biological analyses of water samples provided measurements of dissolved gases, hydrocarbons, sulphur species, dissolved organic carbon (DOC), halocarbons, nutrients, pigments, bacteria, phytoplankton and zooplankton. Bird identification and cetacean abundance studies were also undertaken, as were tracer release experiments using both inert chemical (sulphur hexafluoride, SF6) and bacterial (Bacillus globigii) tracers. Meteorological data were also collected, including concentrations of various chemicals, supplemented by standard measurements of air temperature, pressure, irradiance, humidity and wind velocities. The data were collected in the North Atlantic Ocean and North Sea between 1996 and 1998, as follows: Eastern Atlantic off the coast of Ireland (June-July 1996 and May 1997); southern North Sea (October-November 1996); and North Eastern Atlantic between the UK and Iceland (June-July 1998). The data were collected during four cruises (RRS Challenger CH127, CH129, CH133 and RRS Discovery D234) using a variety of equipment, including instrumentation deployed at sampling stations (e.g. conductivity-temperature-depth (CTD) profilers) and underway sensors that ran throughout each cruise, yielding continuous measurements of both hydrographic and meteorological parameters. Discrete air and water samplers were also used to measure atmospheric and hydrographic parameters throughout each cruise. The data collection periods were associated with individual ACOSE air-sea exchange experiments: two Eastern Atlantic Experiments (EAE96 and EAE97); ASGAMAGE in the southern North Sea; and the North Atlantic Experiment, NAE. ACSOE was a 5-year UK NERC Thematic Research Programme investigating the chemistry of the lower atmosphere (0 - 12 km) over the oceans. The Marine Aerosol and Gas Exchange (MAGE) study group was the only component of the ACSOE Project that included measurements in the marine environment. ACSOE data management was a shared responsibility between the British Atmospheric Data Centre (BADC) and the British Oceanographic Data Centre (BODC). BODC handled the management of ship data as well as all other data collected in the water column during the ACSOE/MAGE cruises. BODC assisted in the onboard collection and subsequent working up of ship data, and assembled all marine data in BODC's relational database carrying out quality control and data processing as required. ACSOE was led by Prof. Stuart Penkett of the University of East Anglia and cruise principle scientists included representatives of the University of Newcastle Upon Tyne, and the University of East Anglia.

  • The dataset comprises physical, biogeochemical and biological measurements of water column properties. Hydrographic profiles of water temperature, salinity, fluorescence, turbidity, attenuance, dissolved oxygen and photosynthetically active radiation were collected, and were supplemented by measurements of surface ocean (temperature, salinity, fluorescence, attenuance) and meteorological (air pressure, air temperature, humidity, wind, irradiance) properties, as well as bathymetry. A comprehensive water sampling program provided biogeochemical data including measurements of dimethyl sulphide (DMS), dimethylsulphionopropionate (DMSP), nutrients, halocarbons, methylamines, pigments, radiogeochemistry and dissolved organic carbon (DOC). Biological data were also collected, including samples of viruses, bacteria, phytoplankton, micro- and mesozooplankton. Currents throughout the water column were measured both at fixed locations and across the study area, while Lagrangian experiments provided further current data. The datqa were collected in the northern North Sea between 5th June 1999 and 1st July 1999 during RRS Discovery cruise D241. Hydrographic profiles were collected using a conductivity-temperature-depth (CTD) package with attached auxiliary sensors, an undulating oceanographic recorder (UOR), a vessel-mounted acoustic Doppler current profiler (ADCP), moored ADCP and temperature sensors, and a suite of standard underway hydrographic and meteorological sensors. Water samples for biogeochemical and biological analyses were collected from both the underway system and CTD bottles, while nets were deployed to collect zooplankton samples. Plankton samples were supplemented by respiration experiments conducted during the cruise. The Lagrangian current data were gathered from four drifters and a tracer experiment where the distribution of sulphur hexafluoride (SF6) released from the ship was monitored via water samples collected from the CTD and the underway system. A survey of the region was carried out in order to locate an Emiliania huxleyi bloom suitable for the study and the chosen bloom was labelled with the SF6 tracer. The biogeochemical process study followed the patch as it drifted in a SE direction and was eventually subducted under Norweigian coastal water on 26 June. The study aimed to investigate DMS biogeochemistry within a coccolithophore bloom. The research was organised by NERC's Plymouth Marine Laboratory and involved the University of East Anglia, Scottish Association for Marine Science, Dunstaffnage Marine Laboratory, Marine Biological Association, Defence Research Agency, and Southampton Oceanography Centre. Data management support for the project is provided by the British Oceanographic Data Centre (BODC). The dataset is available on CD-ROM and can be requested from BODC.

  • The data set comprises measurement of physical and biological oceanographic parameters initially collected as part of the Plankton Monitoring Programme at Station L4 from 1988 onwards. Station L4 located in the English Channel, 10 nautical miles south-west of Plymouth, is one of a series of hydrographic stations in the Western English Channel which have been the basis of a series of hydrographic surveys carried out during the 20th Century by scientists at the Marine Biological Association in Plymouth. In May 2002 sampling expanded to include Station E1, approximately 25 nautical miles south-west of Plymouth. Plankton Monitoring began through the work of the Plymouth Marine Laboratory (PML) Zooplankton Group. A long term time-series of weekly observations has been established by exploiting the activities of the PML small boats (Sepia, Squilla and Plymouth Quest) in a opportunistic way as by-product of their other sampling activities, for example the collection live plankton, sea-water, trawling for fish and squid. Initially no formal research programme or long term funding for the Plankton Monitoring existed but the series was included in NERC Oceans 2025 funding as a Sustained Observatory and continues to be funded under NERC National Capability. The programme has evolved to be known as the Western Channel Observatory (WCO). Although every attempt has been made to standardise methodology and achieve data consistency it is important to recognize that the varied personnel and research objectives that have contributed to this dataset may impact on the nature of the data set.