This dataset constists of an ice velocity time series for Pine Island Glacier, Antarctica, derived from Copernicus Sentinel-1 satellite data acquired from 2014 to 2016. It has been produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The data format is 3-layer GeoTiff: the first two layers represent the horizontal displacement component easting and northing respectively in output map coordinates and converted to meters per day [m/d]. The third layer represents the vertical velocity and is derived from the height difference along the displacement vector taken from a Digital Elevation Model (DEM). The method employed to produce this dataset was presented in: Nagler, T., Rott, H., Hetzenecker, M., Wuite, J., Potin, P. (2015). The Sentinel-1 Mission: New Opportunities for Ice Sheet Observations. Remote Sensing, 2015, 7, 9371-9389, doi:10.3390/rs70709371.

[This dataset is embargoed until February 2, 2026]. For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity and shear stress from HEC-RAS two-dimensional hydraulic model simulations for 10, 50 and 100 year return period flood scenarios; and (iv) calculated bedload transport for 10, 50 and 100 year return period flood scenarios. Shear stress predictions were combined with median (D50) grain size observations to compute bedload transport rates for four different river patterns (meandering, wandering, braided, deltaic). For the 50 year return period flood event, bedload transport rates were also calculated for the D16 and D84 grain size. Geomorphic change detection was used to identify geomorphic change which took place between 2014-2019 and 2019-2020. All geospatial data are in WGS 1984 UTM Zone 51N. This data was created as part of a numerical, two-dimensional hydraulic modelling investigation to predict patterns of flood inundation and bedload transport for the Bislak River Philippines under different flood scenarios (10-, 50- 100-year flood events). Full details about this dataset can be found at https://doi.org/10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a

Gridded land use map of Peninsular Malaysia with a resolution of approximate 25 meters for the year 2018. The map includes nine different classes: 1) non-paddy agriculture, 2) paddy fields, 3) rural residential, 4) urban residential, 5) commercial/institutional, 6) industrial/infrastructure, 7) roads, 8) urban and 9) others. The land use map was created as part of the project “Malaysia - Flood Impact Across Scales”. The project is funded under the Newton-Ungku Omar Fund ‘Understanding of the Impacts of Hydrometeorological Hazards in South East Asia’ call. The grant was jointly awarded by the Natural Environment Research Council and the MYPAIR Scheme under the Ministry of Higher Education of Malaysia. Full details about this dataset can be found at https://doi.org/10.5285/36df244e-11c8-44bc-aa9b-79427123c42c