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Local Plan 2004 Hawkshill

Area of land at Hawks Hill, Harvest Hill, relevant to Policy C16 of the Adopted Local Plan 2004, polygons

Agricultural Land Classification detailed Post 1988 survey ALCB04293

Survey name: Mount Hawke, Droskyn Point to Gannel Estuary Management Plan Post 1988 Agricultural Land Classification (ALC) site survey data – scanned original paper maps and survey reports for...

Co-ordinated Airborne Studies in the Tropics (CAST): In-situ airborne, ozonesonde and ground based and atmospheric chemistry measurements

The CAST dataset contains data produced by the the NERC Co-ordinated Airborne Studies in the Tropics (CAST) project. CAST was a collaborative initiative with NASA's Airborne Tropical Tropopause...

Co-ordinated Airborne Studies in the Tropics (CAST): In-situ airborne, ozonesonde and ground based and atmospheric chemistry measurements

The CAST dataset contains data produced by the the NERC Co-ordinated Airborne Studies in the Tropics (CAST) project. CAST was a collaborative initiative with NASA's Airborne Tropical Tropopause...

Tropical Andean chironomid calibration dataset and Laguna Pindo fossil record (NERC studentship grant NE/J500288/1)

Chironomid calibration data set for tropical South America. Surface sediment samples from 59 Andean lakes across Bolivia (15 lakes), Peru (32 lakes), and Ecuador (12 lakes) over an altitudinal...

Broadscale habitat (EUNIS level 3) for East of Celtic Deep recommended Marine Conservation Zone (rMCZ)

Updated broadscale habitat map for East of Celtic Deep recommended Marine Conservation Zone (rMCZ), resulting from an analysis of the dedicated survey data. The broadscale habitat ‘A5.2 Subtidal...

Haig Fras habitat map - EUNIS and Annex I Reef

The result of a multidisciplinary field survey of the Haig Fras SAC which was initiated in January and completed during March/April 2011. The current study was initiated to investigate the extent...

NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental...

NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental...

Evaluation of tropical forests sensitivity to past climate changes (FORSENS) (NERC grant NE/J018562/1)

The dataset is the output of a NERC fellowship aimed to understand the long-term dynamics of tropical vegetation through palaeoecological analysis. For doing this, two sedimentary archives (Laguna...

QICS Paper: Impact of sub-seabed CO2 leakage on macrobenthic community structure and diversity

A sub-seabed release of carbon dioxide (CO2) was conducted to assess the potential impacts of leakage from sub-seabed geological CO2 Capture and Storage CCS) on benthic macrofauna. CO2 gas was...

Palynofacies, microcharcoal, clay mineralogical and carbon isotope mass spectrometry measurements from the Late Pliensbachian (934 – 918 mbs) of the Mochras core, Cardigan Bay Basin, NW Wales, UK (NERC Grant NE/L501669/1)

Palynofacies, microcharcoal, clay mineralogical and carbon isotope mass spectrometry measurements from the Late Pliensbachian (934 – 918 mbs) of the Mochras core, Cardigan Bay Basin, NW Wales, UK....

Terrestrial palaeo-environmental proxy data of the Upper Pliensbachian, Mochras Borehole sediments, deposited in the Cardigan Bay Basin, Wales (NERC Grant NE/N018508/1)

Terrestrial palaeo-environmental proxy data has been collected to examine orbital changes in wildfire activity in the Early Jurassic of the Mochras Borehole, Cardigan Bay Basin, Wales. To do this a...

Prediction of outcrops or subcrops of rock in UK shelf seabed (public)

Prediction of the presence of rock at outcrop or subcrop at the seabed across the UK shelf area. This shapefile was produced through a semi-automated approach, using a Random Forest model combined...