Fixed time lapse camera imagery with 15 minute interval during daytimes captured from Ben Donich (BNG: NN 2297 0637) looking towards the A83 Rest and Be Thankful / slope of Beinn Luibhean. Data were subsequently processed in https://doi.org/10.3390/rs13050893 for deformation tracking. There are data gaps during poor weather/outages, and, some camera shift requiring alignment.

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.

The BGS Debris Flow Susceptibility Model for Great Britain v6.1 is a 1:50 000 scale raster dataset of Great Britain providing 50 m ground resolution information on the potential of the ground, at a given location, to form a debris flow. It is based on a combination of geological, hydrogeological and geomorphological data inputs and is primarily concerned with potential ground stability related to natural (rather than man-made) geological conditions and slopes. The dataset is designed for those interested specifically in debris flow susceptibility at a regional or national planning scale such as those involved in construction or maintenance of infrastructure networks (road or rail or utilities), or other asset managers such as for property (including developers and home owners), loss adjusters, surveyors or local government. The dataset builds on research BGS has conducted over the past 15 years investigating debris flows. The model was designed to identify potential source-areas for debris flows rather than locate where material may be deposited following a long-run-out failure i.e. the track and flow of debris. This work focuses on natural geological and geomorphological controls that are likely to influence the initiation of debris flows. It therefore, does not consider the influence of land use or land cover factors.

This is a polygon .shp file of 12,920 Asia Summer Monsoon (ASM) - triggered landslides that occurred across central-eastern Nepal in the period 1988 - 2018. This inventory includes the landslide locations, perimeters (Length field), areas and pre-/post- monsoon season satellite image dates used to map each landslide.Note, landslides were not mapped in the years 2011 and 2012 due to scan line errors in Landsat 7 imagery. These landslides were mapped for a range of purposes, from conducting landslide susceptibility assessments, to investigating landslide processes and preconditioning.

This is a point (.txt) file of 12,838 Asia Summer Monsoon (ASM) - triggered landslides that occurred across central-eastern Nepal in the period 1988 - 2018. This inventory includes the landslide locations (x, y coordinates of landslide crests) and geometries, as well as the following landslide attributes, where each attribute was extracted at the position of the landslide crest: elevation (m), slope (o), aspect (o), planform and profile curvature, excess topography (m3), local relief (m), distance to channel (m), distance to road (m), near channel ksn, near channel specific stream power (SSP), average 30-year precipitation, total annual rainfall, peak monthly rainfall, landuse, Permafrost index, geology, and tectonic unit. Note, landslides were not mapped in the years 2011 and 2012 due to scan line errors in the Landsat 7 imagery. These landslides and associated attributes were collected for the purpose of assessing how landslide spatial distributions and susceptibility vary through time.

Polygon shapefile including 481 coseismic and climate triggered landslides mapped along the Arniko Highway, Nepal, using a combination of field mapping and remote sensing. All mapped landslides were those visible in the landscape during the period 2017 – 2018. Landslides were mapped using a combination of field and remote sensing methodologies (see lineage). The inventory includes the landslide locations, perimeters (Length field), areas, types (for field mapped landslides), and whether a given landslide was mapped in the field or remotely (source field). These landslides were mapped for a range of purposes, from conducting landslide susceptibility assessments, to investigating landslide processes and preconditioning.

This is a polygon .shp file of 12,838 Asia Summer Monsoon (ASM) - triggered landslides that occurred across a ~45,000 km2 region of central-eastern Nepal in the period 1988 - 2018. This inventory includes the landslide locations, perimeters (Length field), areas and pre-/post- monsoon season satellite image dates used to map each landslide. Note, landslides were not mapped in the years 2011 and 2012 due to scan line errors in Landsat 7 imagery. These landslides were mapped for a range of purposes, from conducting landslide susceptibility assessments, to investigating landslide processes and preconditioning.

Information for this layer of the map based index (GeoIndex) is taken from the BGS National Landslide Database (NLD), which holds over 15000 records of landslides and is the definitive source of landslide information for Great Britain (excludes Northern Ireland, Isle of Man and the Channel Islands). Each landslide within the National Landslide Database is identified by a National Landslide Database ID number and a point location, as shown on this map. The National Landslide Database ID number represents an individual survey of a landslide, rather than just the landslide itself. This is because there could be several phases of movement within or extensions to the same landslide, particularly if it is a large and complex one. Subsequent surveys of the same landslide may be recorded in the database with the same National Landslide Database ID number but with a new Survey Number. Other information given for each record include; Landslide name, grid reference and whether the landslide record has been validated by the BGS Landslides Team. The point symbols at the designated location do not reflect the size and shape of the corresponding landslide, but just denote the recorded presence of a landslide within a range of accuracy.

Supplementary material and link to published paper - Colluvium Supply in Humid Regions limits the Frequency of storm-triggered Landslides. DOI:10.1038/srep34438 Colluvium depth observations measured in the apexes of colluvial hollows in Macon County, North Carolina. Colluvium depths were measured using a soil tile probe (STD>0) and in pits excavated to bedrock (STD=0). Hollow axis gradient and hollow concavity were measured from a 6 m LiDAR derived DEM. Citation: PARKER, R. N., HALES, T. C., MUDD, S. M., GRIEVE, S. W. D. & CONSTANTINE, J. A. 2016. Colluvium supply in humid regions limits the frequency of storm-triggered landslides. Scientific Reports, 6, 34438.

3D reconstructions and orthophotos of exposures of the 1930 pyroclastic density current on Stromboli. Location 1 is located at UTM W84-33 S_0518638 4295048 and location 2 at UTM W84-33 S_0518956 4294953. The photographs for the models where taken on 28/7/2021 and were converted to the models and orthophotos using structure for motion photogrammetry and the AGISOFT software. The data was collected to aid grain size analysis, by providing a volume change in the outcrop before and after the collection of a physical sample of the material. The data collection was carried by Dr Irene Manzella, Dr Paul Cole and Symeon Makris.