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 science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.

This dataset comprises bird abundance data collected using point count methods in Bedford, Luton and Milton Keynes in the summer of 2013. The purpose of the study was to characterise the variation in breeding bird fauna across a range of urban forms. As well as measuring the birds that were 'really' present, the survey aimed to investigate the birds detectable at times of day when people were more active and more likely to have casual encounters with them. These data were collected as part of the Fragments, Functions and Flows in Urban Ecosystem Services (F3UES) project, as part of the Biodiversity and Ecosystem Service Sustainability (BESS) framework. Full details about this dataset can be found at https://doi.org/10.5285/c4806e25-5325-4b01-8066-91a8fb55eb41

The data describe the ecological responses (invertebrate diversity and biomass, plant diversity, soil characteristics and microbial diversity) to experimental manipulation of floristic diversity and vegetation height in planted urban meadows. The experiment consisted of a replicated set of nine different perennial meadow treatments, sown in six public urban greenspaces in the towns of Bedford and Luton, in the UK. Full details about this dataset can be found at https://doi.org/10.5285/d0741544-cdf3-497d-996b-e30b4b7373c1

The data describe a set of field surveys to assess conditions along public walking routes. A spectrum of urban forms was identified in the towns of Bedford, Luton and Milton Keynes, in the UK. A sample of these were surveyed on foot to measure biodiversity and environmental conditions during the day. These were supplemented with landscape-scale remotely sensed data characterising the surrounding landscape. Full details about this dataset can be found at https://doi.org/10.5285/65b23264-2991-4ce2-83e7-7729a3947d75

The Land Cover Map 2024 (UK Land Cover Statistics) dataset summarises the coverage of different land cover types across Great Britain and Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This data is provided in both .csv and geopackage (vector) formats. Statistics are calculated at country, county, and regional (England only) levels from the Land Cover Map 2024 (10 m classified pixels) datasets for Great Britain and Northern Ireland. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation. In addition to UKCEH as copyright holders, the Land Cover Map 2024 (UK Land Cover Statistics) products use digital boundary products and reference maps. The source of the data is the Office for National Statistics and they are licensed under the Open Government Licence v.3.0. They contain OS data © Crown copyright and database right [2024]. Full details about this dataset can be found at https://doi.org/10.5285/0171ccb2-1c0c-404f-b782-e7204a86a92f