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Countryside Survey 1984 estimates of linear feature lengths in Great Britain

This dataset consists of stock (length) data for linear features across Great Britain in 1984. The data are national estimates generated by analysing the sample data from 384 1km squares surveyed...

SSSI Feature Condition Map WMS

This WMS displays SSSI polygons with their current Site Condition Monitoring status information

UK Ramsar qualifying features (birds)

Ramsar sites are wetlands of international importance designated under the Ramsar Convention. This dataset contains details for all qualifying bird species (of international and national...

Featured Prospects (33rd Round)

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Featured Prospects (33rd Round)

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Featured Prospects (33rd Round)

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NSTA Featured Opportunities (ETRS89)

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NSTA Featured Opportunities (WGS84)

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NSTA Featured Opportunities (ED50)

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Landscape linear feature data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

This data set consists of measurements of lengths of linear landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as lengths of...

Derived annual statistics of rainfall, streamflow and acidity for the Nant Trawsnant catchment, Llyn Brianne, Mid Wales, UK. (1982 to 2012)

This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 1.2 square kilometres,...

Countryside Survey 1998 mapped estimates of linear feature lengths in Great Britain

This dataset consists of stock (length) data for linear features across Great Britain in 1998 in a vector format. The data are national estimates generated by analysing the sample data from 569 1km...

Countryside Survey 1990 mapped estimates of linear feature lengths in Great Britain

This dataset consists of stock (length) data for linear features across Great Britain in 1990 in a vector format. The data are national estimates generated by analysing the sample data from 508 1km...

Countryside Survey 1984 mapped estimates of linear feature lengths in Great Britain

This dataset consists of stock (length) data for linear features across Great Britain in 1984 in a vector format. The data are national estimates generated by analysing the sample data from 384 1km...

Countryside Survey 2007 mapped estimates of linear feature lengths in Great Britain

This dataset consists of stock (length) data for linear features across Great Britain in 2007 in a vector format. The data are national estimates generated by analysing the sample data from 591 1km...

Landscape point feature data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

This data set consists of records of point landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as records of features such as...

Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019

Spatial prediction of the sediment accumulation rate, provided as a .geotif file (as an average linear rate in cm yr-1 since 1986) for the Baltic Sea created using a machine learning approach....

Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019

Spatial prediction of the sediment accumulation rate, provided as a .geotif file (as an average linear rate in cm yr-1 since 1986) for the Baltic Sea created using a machine learning approach....

Peatland condition and change detection from InSAR-derived surface motion time series (RR1356)

The data is derived from Sentinel-1 radar data and the point data spacing is related to the spatial resolution of the imagery, ~20 m. The condition data displays one of 3 peatland condition classes...

MMO1051 Future Fisheries Trends Average Landings Values 2007 - 2011 Web Feature Service (WFS)

Data layer of average landings value(2007 to 2011) for the under-15m and over-15m fleets for all gear types developed for the Future Trends in Fishing and Aquaculture in the South Inshore and...