Terrestrial laser scanning data of the slopes above the A83 Rest and Be Thankful collected by a Riegl LMS Z620i instrument in 2016 after Storms Desmond and Frank from 3 positions. These data are scanner centric coordinates which the end-user needs to align and (if required) align into a global coordinate system. Data are in raw format, supplied as .las with scaled intensity included.

This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for early-stage protodunes developing on a moist sandy surface in the Medano Creek area at Great Sand Dunes National Park, Colorado, USA under very strong winds. As well as the TLS data, additional nearby measurements of the wind speed through a CSAT 3D sonic anemometer and sediment transport using a Sensit and Wenglor fork sensors.

This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for a field of protodunes that developed on Brancaster Beach over a three hour period. As well as the TLS data, additional measurements of the wind speed through a 2D sonic and sediment transport on the beach and over a study protodune were collected using Wenglor fork sensors. Details on some of the methods can be found in Baddock et al. (2017; DOI: 10.1002/esp.4242). Grain size of sand on the protodune in 2016 is also included along with grain size data of saltating grains at the same site in 2019 collected using Bagnold traps.