GeoSure Basic is a single, combined GeoSure model, based on the 6 geohazard layers produced for the GeoSure dataset package. The methodology behind GeoSure Basic uses only the highest score of all the GeoSure layers, which cover: Collapsible Deposits, Compessible Ground, Landslides, Running Sand, Shrink Swell, and Dissolution. The resulting model has been re-classified to show 'Negligible - Very Low', 'Low', and 'Moderate - High' potential for natural geohazards. Complete Great Britain national coverage is available.

The table contains the list of samples, including location, collected during 2016 field campaign in Vanuatu. Samples include lavas, xenolith (mantle and crustal), scoria, pumice and coral from Esperitu Santo, Efati, Tanna, Ambae, Maewo, Gaua and Vanua Lava. The physical collection is in School of Earth Sciences, University of Bristol.

Output from the FAMOUS General Circulation Model presented in the study by Dentith et al. (2018) "Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks". The following ocean variables are included at model resolution (2.5 ° x 3.75 °): salinity, meridional overturning streamfunction, potential temperature, mixed layer depth, and barotropic streamfunction. Precipitation, evaporation and sea ice concentration data are also included at atmospheric resolution (5 ° x 7.5 °). All data has been processed into netCDF timeseries.

Geological observations during field walks, with coordinates, photographs and descriptions of rocks/geological materials and features at the various stops.

**This dataset has been superseded. The latest version is newGeoSure Insurance Product version 8 2020.1** The newGeoSure Insurance Product (newGIP) provides the potential insurance risk due to natural ground movement. It incorporates the combined effects of the 6 GeoSure hazards on (low-rise) buildings: landslides, shrink-swell clays, soluble rocks, running sands, compressible ground and collapsible deposits. These hazards are evaluated using a series of processes including statistical analyses and expert elicitation techniques to create a derived product that can be used for insurance purposes such as identifying and estimating risk and susceptibility. The evaluated hazards are then linked to a postcode database - the Derived Postcode Database (DPD), which is updated biannually with new releases of Ordnance Survey Code-Point® data (current version used: 2018.1). The newGIP is provided for national coverage across Great Britain (not including the Isle of Man). This product is available in a range of GIS formats including Access (*.dbf), ArcGIS (*.shp) or MapInfo (*.tab). The newGIP is produced for use at 1:50 000 scale providing 50 m ground resolution.

**This dataset has been superseded. The latest version is newGeoSure Insurance Product version 8 2020.1** The newGeoSure Insurance Product (newGIP) provides the potential insurance risk due to natural ground movement. It incorporates the combined effects of the 6 GeoSure hazards on (low-rise) buildings: landslides, shrink-swell clays, soluble rocks, running sands, compressible ground and collapsible deposits. These hazards are evaluated using a series of processes including statistical analyses and expert elicitation techniques to create a derived product that can be used for insurance purposes such as identifying and estimating risk and susceptibility. The evaluated hazards are then linked to a postcode database - the Derived Postcode Database (DPD), which is updated biannually with new releases of Ordnance Survey Code-Point® data (current version used: 2018.3). The newGIP is provided for national coverage across Great Britain (not including the Isle of Man). This product is available in a range of GIS formats including Access (*.dbf), ArcGIS (*.shp) or MapInfo (*.tab). The newGIP is produced for use at 1:50 000 scale providing 50 m ground resolution.

This dataset contains data from a river multibeam and seismic survey which took place in 2013 and 2014 at scour sites within the Brahmaputra river basin in Bangladesh. The survey was carried out as part of a joint project between the Universities of Birmingham, Southampton and Exeter. "The sedimentology of fluvial megascours" was a scientific research project funded by NERC. The purpose was to collect the data necessary to validate the first generic numerical model of scour zone stratigraphy that will be widely applicable to a broad range of large rivers. River bed bathymetry data were collected using a multibeam echosounder. Sub bottom seismic profiling data were collected using a surface tow boomer and chirp system. Technical details of the survey are contained in the cruise report of the survey which comprises part of the metadata. Some of the data has been accepted for a publication in the journal 'Sedimentology' which will be published in 2018 with the title 'The Sedimentology of channel confluences'.

This dataset contains numerical model output of a morphodynamic and sedimentological simulation of a large river confluence based loosely on the Jamuna-Ganges junction in Bangladesh. The work was carried out as part of a joint project between the Universities of Birmingham, Southampton and Exeter. "The sedimentology of fluvial megascours" was a scientific research project funded by NERC. One aspect of the project was to undertake numerical simulations (the data described here) with which to compare with river bed bathymetry data (collected using a multibeam echosounder) and sub bottom seismic profiling data (collected using a surface tow boomer and chirp system). The data has been accepted for a publication in the journal 'Sedimentology' which will be published in 2018 with the title 'The Sedimentology of channel confluences'.

The data result from a cooperative project between the U.K., U.S., Germany, Spain, and Portugal. This 2013 seismic experiment surveyed the Galicia Bank region off Iberia with the RV Marcus Langseth. The goal was to collect 3D seismic reflection data specifically designed to reveal the 3D structures generated during the rifting of the Galicia margin and to study the rifted continental to oceanic crust transition in the Deep Galicia Margin west of Spain. The data correspond to a 68.5km x 20 km volume down to 14s TWT with a nominal inline spacing of 6.25 m and a cross-line spacing of 50m, including 800 inlines and 5500 cross-lines. References Bayrakci, G., Minshull, T.A., Sawyer, D.S., Reston, T.J., Klaeschen, D., Papenberg, C., Ranero, C., Bull, J.M., Davy, R.G., Shillington, D.J., Perez-Gussinye, M., and Morgan, J.K., 2016, Fault-controlled hydration of the upper mantle during continental rifting, Nature Geoscience, vol. 9, p. 3840388, DOI: 10.1038/ngeo2671. URL: http://www.nature.com/ngeo/journal/v9/n5/full/ngeo2671.html R. G. Davy, J. V. Morgan, T. A. Minshull, G. Bayrakci, J. M. Bull, D. Klaeschen, T. J. Reston, D. S. Sawyer, G. Lymer, D. Cresswell, 2017. Resolving the fine-scale velocity structure of continental hyperextension at the Deep Galicia Margin using full-waveform inversion. Geophysical Journal International, Volume 212, Issue 1, 1 January 2018, Pages 244–263, https://doi.org/10.1093/gji/ggx415 C.Nur Schuba, Gary G.Gray, Julia K.Morgan, Dale S.Sawyer, Donna J. Shillington, Tim J.Reston, Jonathan M.Bull, Brian E.Jordan, 2018. A low-angle detachment fault revealed: Three-dimensional images of the S-reflector fault zone along the Galicia passive margin. Earth and Planetary Science Letters, 492, (2018), 232–238, https://doi.org/10.1016/j.epsl.2018.04.012

The stratigraphic scope of the data is 1) the Polarisbreen Group of NE Svalbard (late Tonian to Ediacaran) and 2) top Appin and lower Argyll Groups, western Scotland (late Tonian to Cryogenian). Geochemical data on carbonates includes, in different cases, stable oxygen and carbon isotopes, strontium isotopes and trace elements. Results from Scotland are published in: Fairchild, I.J., Spencer, A.M., Ali, D.O., Anderson, R.P., Anderton, R., Boomer, I., Dove, D., Evans, J.D., Hambrey, M.J., Howe, J., Sawaki, Y., Wang, Z., Shields, G., Skelton, A. Tucker, M.E. and Zhou, Y. 2017 Tonian-Cryogenian boundary sections of Argyll, Scotland. Precambrian Research. doi: 10.1016/j.precamres.2017.09.020. An additional plot of some of the data is in: Ali, D.O., Spencer, A.M., Fairchild, I.J., Chew, K.J., Anderton, R., Levell, B.K., Hambrey, M.J., Dove, D., Le Heron, D.P. 2018. Indicators of relative completeness of the glacial record of the Port Askaig Formation, Garvellach Islands, Scotland. Precambrian Research. Doi: 10.1016/j.precamres.2017.12.005. Results from Svalbard are partly published (Elbobreen Formation, members 3 and 4; Wilsonbreen Formation) in the publications listed below. Data on Elbobreen Formation, members 1 and 2 and the Dracoisen Formation are not published at the time of writing (January 2018). Fairchild, I.J., Bonnand, P., Davies, T., Fleming, E.J., Grassineau, N., Halverson, G.P., Hambrey, M.J., McMillan, E.A., McKay, E., Parkinson, I.J. and Stevenson, C.T.E. 2016 The Late Cryogenian Warm Interval, NE Svalbard: chemostratigraphy and genesis of dolomitic shales. Precambrian Research, 281, 128-154. Fairchild, I.J., Fleming, E.J., Bao, H., Benn, D.I., Boomer, I., Dublyansky, Y.V., Halverson, G.P., Hambrey, M.J., Hendy, C., McMillan, E.A., Spötl, C., Stevenson, C.T.E. and Wynn, P.M. 2016 Continental carbonate facies of a Neoproterozoic panglaciation, NE Svalbard. Sedimentology, 63, 443-497. Benn, D.I., Le Hir, G., Bao, H., Donnadieu, Y., Dumas, C., Fleming, E.J., Hambrey, M.J., McMillan, E.A., Petronis, M.S., Ramstein, G., Stevenson, C.T.E., Wynn, P.M. and Fairchild, I.J. 2015 Orbitally forced ice sheet fluctuations at the end of the Marinoan Snowball Earth glaciation Nature Geoscience. 8, 704-707. Fleming, E.J. (2014) Magnetic, Structural and Sedimentological Analysis of Glacial Sediments: Insights from Modern, Quaternary and Neoproterozoic Environments. Unpublished PhD Thesis. University of Birmingham. Available at: http://etheses.bham.ac.uk/5136/