Research projects

A diver carrying out underwater science

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1 to 12 of 17 projects

See also UK Polar Data Centre team

  1. Antarctic Digital Database

    Map.

    The SCAR ADD is a seamless compilation of topographic data for Antarctica to 60°S. It is the place to go to get data such as Antarctic coastline or contours for working in desktop GIS.

  2. Atmospheric Data Access System

    Twin Otter aircraft with atmospheric data kit

    An online data access tool to discover, visualise and access atmospheric and space weather data holdings from the polar regions.

  3. Bedmap

    Bedmap is a collaborative community that has produced maps and datasets of Antarctic ice thickness and bed topography

  4. Bedmap2

    Bedmap2 is a suite of gridded products describing surface elevation, ice-thickness and the sea floor and subglacial bed elevation of the Antarctic.

  5. Bedmap3

    Bedmap3 is a collaborative community project with the aim to produce a new map and datasets of Antarctic ice thickness and bed topography.

  6. Data As Art

    DATA AS ART visualises science data to create stunning and thought-provoking artworks, using real Antarctic data-sets that explain important and exciting science stories.

  7. Find data

    Halley SuperDARN

    Explore the UK Polar Data Centre metadata catalogue. Please use the system to search for polar datasets held by the UK Polar Data Centre

  8. Geological Collection

    A fern fossil (Lophosoria cupulatus) from Snow Island. (Scale bar = 1 mm)

    Contains over 200,000 individual rock and fossil specimens collected from Antarctica and the sub-Antarctic islands and thousands of meters of sediment core from the surrounding seabed.

  10. Herbarium Collection

    A collection of dried plant specimens from the Antarctic, sub-Antarctic and surrounding continents.

  11. IMAGE Auroral Boundary Data

    Aurora over Halley VI

    The objective of this project was to investigate whether magnetic reconnection in the space environment has a characteristic scale in space and time by characterising statistically the spatial and temporal structure of the footprint of reconnection as observed in the Earth’s ionosphere.