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  • The datasets contain maps of the total change in topography along the river Liang (Philippines) after the Typhoon Mangkhut event in September 2018. The maps have been generated using multi-phase mass model r.avaflow to simulate the change in channel and landscape. Full details about this dataset can be found at

  • This is a dataset on defensive behaviour in response to simulated intergroup conflict in banded mongooses, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2016-2017. We experimentally simulated conflict between rival social groups of banded mongooses and recorded data on behavioural responses including interaction with the stimulus, defensive behaviours such as standing upright, scent marking, and attacking, and the cohesion of behavioural responses within the group. These data were collected to examine collective defence behaviour in the face of intergroup conflict. Full details about this dataset can be found at

  • These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches were added and the model allowed to run for a further 100 years. After this time, the ditches were ‘restored’ and the simulation continued until a total runtime of 5,100 years had elapsed. Full details about this dataset can be found at

  • This dataset contains land cover classification of the Akrotiri Peninsular of Cyprus, using WorldView Imagery at 2m resolution. Images from March 2018 and July 2018 were used. All the imagery was atmospherically corrected. The thematic detail of the map was generalised to the following main vegetation/cover types: bare, lake, temporary water, salt marsh, rush salt meadow, garrigue, sparse vegetation, grass, mixed woodland, Eucalyptus and Acacia. The cover classes salt marsh and rush salt meadow represent mosaics of vegetation communities. Due to Covid-19 restrictions, ground data collection was severely restricted, resulting in limited training and validation data. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at

  • These data are digital elevation models which describe landscape topography. The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone datasets to support this analysis, but also supported numerical modelling using CAESAR-Lisflood (see data collection). The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode. They are a geospatial dataset created in raster (.tif) format. They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis. Full details about this dataset can be found at

  • The products represent biomass estimates for four areas of interest in the Corridor Ankeniheny Zahamena (CAZ), Madagascar, generated using very high resolution imagery and based on field-collected plot information. The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. Based on these criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. The products were generated as part of a project, 'Can Paying 4 Global Ecosystem Services reduce poverty?' (P4GES), funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme Full details about this dataset can be found at