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oceans

1332 record(s)
 
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    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 Porcupine Bight, during April and May of 1986. 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.

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    The WireWall project developed a prototype wave overtopping field measurement system. The system was designed and trailed at Crosby Beach, Hall Road carpark, north of Liverpool during winter 2018/2019. The data collected include both wave-by-wave overtopping volumes and horizontal velocities. At the time of the project the coastal structure at this site comprised a stepped revetment and vertical sea wall with a recurve. The system was designed at the National Oceanography Centre, validated in HR Wallingford’s flume facility and deployed with Sefton Council. Five datasets are available from the project. These contain processed data from: 1) The numerical wave overtopping estimates for past events used to design the system and plan deployments; 2) The numerical wave overtopping estimates for the joint wave and water level conditions with a 1 in 1 year return period probability to a 1 in 200 year return period probability in Liverpool Bay; 3) The dock side tests; 4) The physical laboratory experiments; and, 5) The field trials during windy spring tides. For Crosby these data can be used to validate/calibrate numerical tools used for coastal scheme design and flood hazard forecasting. Beach profile data collected alongside the overtopping measurements have been archived with the Northwest Regional Coastal Monitoring Programme, https://www.channelcoast.org/northwest/. This project was delivered by the National Oceanography Centre in collaboration with HR Wallingford. Our project partners were Sefton Council, Balfour Beatty, Environment Agency, Channel Coastal Observatory and Marlan Maritime Technologies.

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    This dataset consists of model outputs from ensemble simulations of an idealised Southern Ocean using a quasi-geotrophic model called Q-GCM. As such, there are no calendar dates associated with it. Two models were generated: Initial Condition Perturbation Ensemble (ICPE) experiments model output covers years 162-168 of the simulation; Boundary Condition Perturbation Ensemble (BCPE) experiments model output covers years 150-180 of the simulation. The models created form the practical element of the NERC project ‘The structure and stability of transport and fixing barriers within the Antarctic Circumpolar Current’. The project aims to quantify the relationship between Southern Ocean winds, the eddy saturation mechanism and the branch-like structure of the Antarctic Circumpolar Current. The work was funded by means of a Natural Environment Research Council (NERC) Discovery Science New Investigators Grant ‘NE/I001794/1’. The grant ran from 02 August 2010 to 21 September 2012 and was led by Dr. Chris Wilson at the UK’s National Oceanography Centre (NOC). The model simulation data were submitted to the British Oceanographic Data Centre (BODC) for archive and are stored in the originator format.

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    This dataset comprises measurements of microbial uptake activities of betaine and choline, particulate phase osmolytes, amplicon sequencing of marker genese involved in Nitrogenous-osmolyte catabolism, and single cell genome data. Water samples were collected from at the L4 station of the Western Channel Observatory between April 27, 2015 to April 24, 2017 using Niskin bottles attached to a rosette sampler deployed from the RV Plymouth Quest. Nitrogenous osmolytes (glycine betaine, choline and trimethylamine N-oxide are essential components for most organisms in the marine environment. They enable cells to exist in a salty environment, but also have several other proposed uses. The aim of the project is to understand the seasonal cycle of glycine betaine, trimethylamine N-oxide and choline at Station L4. The water samples were analysed for the microbial assimilation and dissimilation activities using 14C labelled betaine and choline, respectively. The data will be incorporated to the European Regional Seas Ecosystem Model (ERSEM) coupled with the hydrodynamic model General Ocean Turbulent Model (GOTM) to simulate the N-osmolyte cycling at the L4 station. The data were collected under the project Biogeochemical cycling of N-osmolytes in the surface ocean funded by NERC Discovery Science grants NE/M002233/1 (parent), NE/M003361/1 (child), NE/M002934/1 (child). The grants were led by Dr Yin Chen, Dr Ruth Airs, and Dr Wei Huang respectively.

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    The dataset comprises 35 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the South West Atlantic Ocean (limit 20W) area specifically Drake Passage during December 2004. 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 Southampton Oceanography Centre.

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    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/.

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    The dataset comprises 4 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from the North East Atlantic Ocean (limit 40W) area specifically South East of the Santo Antao ridge, from October to December of 1969. 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 National Institute of Oceanography.

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    This dataset consists of data from four stations (Batiki01, Batiki02, Beqa01 and Beqa02) that are part of the ReefTEMPS network of temperature sensors on the coastal domain of about twenty territories and island states in the South Pacific, Southwest and West Pacific. The Batiki data were collected in the coastal waters of Batiki Island, Fiji (Batiki01: latitude=-17.777467, longitude=179.179867, 2012 to 2015; Batiki02: latitude=-17.78552, longitude=179.13897, 2012 to 2017). The Beqa data were collected in the coastal waters of Beqa, Fiji (Beqa01: latitude=-18.41369, longitude=178.1675, 2014 to 2017; Beqa02: latitude=-18.37687, longitude=178.1956, 2014 to 2017). The dataset consists of water temperature data from a temperature logger attached to a coral head recording temperature every 10 minutes at around 10-12 metres depth with QC being applied following collection of the logger. The observation network is coordinated by the Grand Observatoire de l'environment et de la biodiversite terrestre et marine du Pacifique Sud (GOPS) (https://journals.openedition.org/netcom/1294).

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    This dataset comprises Acoustic Wave and Current (AWAC) profiler data collected in the coastal waters of St Vincent, in the Caribbean Sea. The data were collected betewen 26th July 2018 and 10th October 2018 and 15th January 2019 to 20th March 2019 as part fo two deployments. An AWAC profiler was deployed at approximately 10 metres depth in the shallow coastal waters, south of Georgetown, St Vincent. The dataset is part of the Commonwealth Marine Economies Programme which was launched in 2016 to help support the marine economies of commonwealth small island developing states (SIDS).

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    The dataset comprises of vertical profiles of water column properties (temperature, salinity, conductivity, pressure, depth, sound velocity and density) of the full water column in the South West region of the UK. Measurements were taken opportunistically at three main locations (L4, L5 and E1 Western Channel Observatory stations) as well from Plymouth Sound and the surrounding inshore areas. Data have been gathered using a Valeport MIDAS 606 CTD (with a passive flow induction cell, Platinum Resistance Thermometer and a strain gauge transducer) and extracted and processed using Valeport DataLogX2 software (version1.0.4.1270). The CTD was deployed using vertical deployment from the RV MBA Sepia and were hauled using a manually controlled hydraulic winch. The surveyors have been dependent on the sensor calibrations applied by the CTD manufacturer (Valeport). Manufacturer calibrations are applied to the in situ direct measurements via sensor specific microchips in the CTD unit. Derived parameters are calculated using the in-built processing provided with the units software: Datalogx2. The data have been collected in the framework of the long term monitoring of the Western Channel Observatory stations and the Plymouth inshore fisheries undertaken annually by the Marine Biological Association of the United Kingdom. The RV MBA Sepia department of the Institute carried out the data collection activities.