Topographical and orthophotograph data sets created using Structure from Motion (SfM) from Unmanned Aerial Vehicle (UAV) data, presented as Orthophotographs (image and world file), Digital Surface Models (DSM) (image and world file), and point clouds (LAS format) using EPSG 32620 projection. The data was collected at selected sites on Dominica, Caribbean in January/February 2018 as part of a NERC funded project (NE/RO16968/1) to conduct geomorphological change and infrastructure damage baseline surveys following hurricane Maria. The data was flown using either a DJI Phantom 3 or 4, as indicated by the file name. If the file name includes 'NoGCP' in the file name the data uses the internal GPS and altitude of the DJI UAV. This means the data is not positionally accurate in absolute terms and should not be used in direct comparison to other georeferenced data. If the file name includes 'GCP' then the data was georeferenced using ground control derived from UAV data provided by the University of Michigan. This data is deemed accurate in absolute terms. (World Bank. 2018 Aug 31; Geotechnical Engineering Research Report(UMGE-2018/01))

Airborne gravity data provides insight into the regional subsurface geology and tectonic history. This dataset includes processed airborne data collected over Marguerite Bay using an iCorous strapdown gravity sensor. The gravity sensor was mounted in a Windracers Ultra UAV, serial TD-02. Gravity data was collected at a mean altitude of 500 m on nine flights between 120 and 260 km long, originating from Rothera Research Station. The flight pattern covered an area of 24 km by 75 km, with lines spaced 2 km apart. Data has an along line resolution of ~2 km. The survey targeted a tectonic break between different sectors of the Antarctic Peninsula identified in existing magnetic data. The survey was flown as part of the Innovate UK SWARM project demonstrating the utility of the Windracers Ultra as a platform for environmental science. This study was funded by Innovate UK through their Future flight challenge support for the "Protecting environments with unmanned aerial vehicle swarms" project (reference: 10023377). We thank BAS operations for their support and specifically the BAS air unit and ground support staff whose close cooperation and engagement with the UAV deployment made the project successful. We also thank staff at Windracers and Distributed avionics who provided remote support for UAV operations across the field season.

Airborne magnetic data provides insight into the subsurface geology and tectonic history. This dataset includes processed airborne magnetic data collected over Marguerite Bay during the 2023/2024 Antarctic field season. This survey was carried out as part of a wider UKRI Innovate UK Future Flight-3 SWARM project in collaboration with Windracers Ltd to demonstrate their Ultra Uncrewed Aerial Vehicle (UAV) as a platform for environmental science. As part of this project ~1600 km of new high resolution aeromagnetic data with a ground clearance of 500m was collected around Rothera research station, West Antarctica. Data were acquired using a GEMSys GSMP-35U UAV magnetometer mounted on a Windracers Ultra UAV. Magnetic line data is provided as comma separated ASCII file. This study was funded by Innovate UK through their Future flight challenge support for the "Protecting environments with unmanned aerial vehicle swarms" project (reference: 10023377). We thank BAS operations for their support and specifically the BAS air unit and ground support staff whose close cooperation and engagement with the UAV deployment made the project successful. We also thank staff at Windracers and Distributed avionics who provided remote support for UAV operations across the field season.

Airborne remote-sensed hyperspectral in-situ radiometry data and hyperspectral imagery collected by the NERC Field Spectroscopy Facility (FSF) Headwall Co-aligned VNIR and SWIR imager (450-2500 nm) with LiDAR instruments mounted on a drone platform. These hyperspectral data collected over a sandy and rocky shore have associated uncertainty estimations that will be used to develop of radiometric proxies for plastics detection and assess future mission requirements. This dataset was collected on 22nd July 2021 from Oban airport's shore using a range of different plastic targets

Airborne remote-sensed hyperspectral in-situ radiometry data and hyperspectral imagery collected by the NERC Field Spectroscopy Facility (FSF) Headwall Co-aligned VNIR and SWIR imager (450-2500 nm) with LiDAR instruments mounted on a drone platform. These hyperspectral data collected over a sandy and rocky shore have associated uncertainty estimations that will be used to develop of radiometric proxies for plastics detection and assess future mission requirements. This dataset was collected on 29th September 2020 at Tyninghame beach, East Lothian, Scotland using a range of different plastic targets.