Topic
 

location

191 record(s)
 
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
From 1 - 10 / 191
  • This dataset contains the codes for water laboratory analysis, sampling dates and locations for soil samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It contains soil chemistry data for metals and mineral contents of samples soils. It should be used in conjunction with datasets describing soil bacteria and soil eukaryote operational taxonomic unit sequence data. Full details about this dataset can be found at https://doi.org/10.5285/de35d4ea-e75e-464c-b82f-2c2c1402cf8e

  • The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Each site comprised 22 quadrats on the unvegetated mudflat and 22 quadrats on the salt marsh. The locations indicated by this dataset correspond to the south-east corner of the quadrats which were 1m square and oriented with their sides aligned North-South and East-West. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/e07386ba-f7a8-490d-99f7-1ce1ae14e95d

  • This data was collected during two Antarctic field seasons (2013-14, 2014-15) using two Leica GS10 dual-frequency Global Position Systems (dGPS). We installed 53 2m aluminium stakes in the snow surface along lines perpendicular to ice divides on four ice rises in the Ronne Ice Shelf region. In each season we used the dGPS units to measure the position of each pole. During most position measurements we deployed a rover unit for 20 minutes at each stake while a static base station dGPS unit was left in place for 5 or more hours. In the minority of cases the power to the base station unit failed and data from the rover unit is not accompanied by base-station data.

  • A vector polyline at 60 deg S which is the northern limit for ADD datasets.

  • Categories  

    The dataset comprises 128 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during March - May 1995. The cruise occupied the World Ocean Circulation Experiment (WOCE) Atlantic section A23 with stations in the South Atlantic following 35 W between Rio de Janerio and South Georgia, before crossing the Scotia Sea and Weddell Sea to Antarctica. 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 World Ocean Circulation Experiment (WOCE).

  • Categories  

    This dataset comprises 77 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in May 1990 from stations covering the southern North Sea (Humber Estuary and The Wash). 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 Plymouth Marine Laboratory as part of the North Sea Project Plumes Process Study.

  • Categories  

    This dataset comprises 24 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in January 2010 from stations throughout Liverpool Bay. 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 Proudman Oceanographic Laboratory as part of the National Oceanography Centre (formerly the Proudman Oceanographic Laboratory), Liverpool Bay/Irish Sea Coastal Observatory initiative.

  • Categories  

    Glider data - temperature, salinity, chlorophyll, CDOM, BBP and dissolved oxygen from the English Channel, collected as part of the CAMPUS (Combining Autonomous observations and Models for Predicting and Understanding Shelf seas) project. The purpose of this dataset was proof of concept for a UK Met Office numerical model for predicting phytoplankton bloom locations and also for assimilation into these models for improved forecasting. This is the delayed-mode data set from the glider (high-resolution data stored on the glider and post processed). The data were processed from binary files using a Matlab toolbox and calibrated where possible using CTD data.

  • Categories  

    This dataset consists of underway meteorology, navigation and sea surface hydrography measurements from cruise JC044 and JC082 as well as 7 CTD casts for cruise JC082. Data were collected on two RRS James Cook cruises, JC044 and JC082, covering the Cayman Trough and Mid-Cayman Spreading Centre in the Caribbean Sea. Cruise JC044 took place between March 25th and April 22nd 2010 and cruise JC082 took place between February 6th and March 8th 2013. Navigation data were collected using an Applanix POSMV system and meteorology and sea surface hydrography were collected using the NMF Surfmet system. Both systems were run through the duration of the cruise, excepting times for cleaning, entering and leaving port, and while alongside. CTD data were obtained from a Seabird SBE CTD system fitted to a rosette and launched at stations along the cruise track. Data were collected as part of the NERC-funded project “Hydrothermal activity and deep-ocean biology of the Mid-Cayman Rise” which aimed to investigate the world's deepest under-sea volcanic ridge, the Mid-Cayman Rise, to advance understanding of patterns of biodiversity in the planet's largest ecosystem. By studying the geology and hydrography of the world's deepest seafloor spreading centre using established techniques, the project aimed to confirm the geological processes driving the vents and to reveal the evolutionary genetic relationships of their inhabitants to those in vents elsewhere. The project was funded by two NERC standard grants. The lead grant, NE/F017774/1, ran from 15 September 2009 to 01 March 2014, and was led by principal investigator Dr Jonathan TP Copley of University of Southampton, School of Ocean and Earth Sciences. The child grant, NE/F017758/1, ran from 19 July 2009 to 31 December 2013, and was led by Dr BJ Morton of National Oceanography Centre, Science and Technology. Underway navigation, meteorology and sea surface hydrography and CTD datasets have been received as raw files by BODC and are available upon request.

  • Categories  

    The Dynamics of Orkney Passage Outflow (DynOPO) project data set comprises physical oceanographic and hydrographic data, including measurements of turbulence, temperature, salinity and currents, complemented by bathymetric and meteorological data. Data were collected within the Orkney Passage by means of moorings and ship-launched instrumentation. RRS James Clark Ross cruise JR20150309 (JR310 & JR272D) ran from 09 March to 14 April 2015. It was not explicitly a DynOPO cruise, rather it undertook the deployment of a mooring for the project. Moorings were deployed in groups of 5 on CTD casts. RRS James Clark Ross cruise JR16005 ran from 17 March to 08 May 2017 and was the primary fieldwork element of the DynOPO project. The cruise had two main goals: (1) to conduct measurements of the hydrographic properties, velocity and turbulent processes of the Antarctic Bottom Water outflow along its pathway through the Orkney Passage region; and (2) to turn around a set of long-term moorings deployed in the area by British Antarctic Survey (BAS) and Lamont-Doherty Earth Observatory (LDEO) scientists, including recovery of additional instruments on some of the moorings deployed by DynOPO 2 years previously. Shipboard data collection involved the deployment of conductivity-temperature-depth (CTD) packages and Lowered Acoustic Doppler Profilers (LADCP) in the study area. Continuous measurements of current velocities (using vessel mounted ADCPs, VMADCPs), bathymetry and surface ocean and meteorological properties were collected throughout. The project received funding under NERC Standard Grants NE/K013181/1 and NE/K012843/1. The lead grant, NE/K013181/1, received funding between 31 March 2015 and 29 February 2020 and was led by Professor Alberto Naveira Garabato (University of Southampton, School of ocean and Earth Science). Grant NE/K013181/1 received funding between 01 October 2014 and 30 November 2018 and was led by Professor Michael Meredith (NERC British Antarctic Survey, Science Programmes). Mooring data collected for the DynOPO project are a component of a long term time series, in association with the Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA) project, led by Emily Shuckburgh (British Antarctic Survey) since 2016. The time series originally started out as part of the British Antarctic Survey's Long-Term Monitoring and Survey (LTMS) programme, led by Keith Nicholls. Information about the time series can be found at https://www.bodc.ac.uk/resources/inventories/edmed/report/6565/ and the ORCHESTRA project https://www.bodc.ac.uk/resources/inventories/edmed/report/6618/ . The majority of the data have been received by the British Oceanographic Data Centre (BODC) as raw files, processed and will be available online in the near future. Remaining data, which will be received in the near future, include: Turbulence, CTD, ADCP, currents, and salinity samples.