This dataset contains digital terrain data that describes the topography of the area under study at 90m resolution based on SRTM 90m Digital Elevation Data from the CGIAR-CSI (Consultative Group on International Agricultural Research - Consortium for Spatial Information). Gro for GooD: Groundwater Risk Management for Growth and Development, https://upgro.org/consortium/gro-for-good/

The database contains scanned photographs (at 1016dpi) of the UK and various locations around the world. Some are single band (black&white) others are 3 band colour. The images are stored in various formats on various types of magnetic media: .COT raw scans can only be used on the Intergraph ImageStation; .JPG (Intergraph format); .TIF. Processed scans may also be saved as stereomodels (with project data) and as orthophotographs. Mono coverage for most of the UK and we are constantly acquiring stereo data. Data is updated when unscanned areas are required by projects.

GeoScholar is a set of free geological data - available in GIS format - for UK universities and the higher education sector, to support teaching and learning within the geosciences. The dataset includes digital geological map data from BGS, aerial photos from Infoterra, NEXTmap digital terrain model from Intermap Technologies, borehole data and their corresponding logs, several BGS geological map sheets. Each Geoscholar teaching package will include 12 different geographical regions, including Assynt, Coniston and South West Wales.

Digital Elevation Model (DEM) of the Antarctic Ice Sheet derived from Global Navigation Satellite Systems-Reflectometry (GNSS-R) data from the UK TechDemoSat-1 satellite. This is obtained using all available data from the mission (32 months). It has a median bias under 18 metres and Root Mean Square Difference under 91 metres when compared to the CryoSat-2 1 km v1.0 DEM (Slater et al., 2017). This work was supported by the Natural Environmental Research Council [grant number NE/L002531/1]. ***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA ***** The VERSION 2.0 data set (see ''Related Data Set Metadata'' link below) uses improved processing and an additional 13 months of measurements.

Improved Digital Elevation Model (DEM) of the Antarctic Ice Sheet derived from Global Navigation Satellite Systems-Reflectometry (GNSS-R). This builds on a previous study (Cartwright et al., 2018) using GNSS-R to derive an Antarctic DEM but uses improved processing and an additional 13 months of measurements. A median bias of under 10 m and root-mean-square (RMS) errors of under 53 m are obtained, as compared to existing DEMs. Funding was provided by NERC grant NE/L002531/1.

Improved Digital Elevation Model (DEM) of the Greenland Ice Sheet derived from Global Navigation Satellite Systems-Reflectometry (GNSS-R). This builds on a previous study (Cartwright et al., 2018) using GNSS-R to derive an Antarctic DEM but uses improved processing and an additional 13 months of measurements. A median bias of under 10 m and root-mean-square (RMS) errors of under 166 m are obtained, as compared to existing DEMs. Funding was provided by NERC grant NE/L002531/1.

Hazards data in Sichuan (Dechang, Anning River catchment), China. Data include rainfall, earthquake, river catchment, boundary, geological map, soil map, land-cover map, road-map, DEM.