Collection of data from the PhD Thesis 'Development of coupled processes numerical models of tracer, colloid and radionuclide tranpsort in field migration experiments', submitted as part of the RATE HydroFrame WP5. This collection of data includes blank model files in COMSOL Multiphysics and PHREEQC, as described in the PhD thesis. Also included in this data package are different spreadsheets with model outputs from the model files that describe the transport of conservative tracers, colloids and radionuclides in experiments carried out at the Grimsel Test Site, Switzerland as part of the Colloid Radionuclide and Retardation (CRR) and the Colloid Formation and Migration (CFM) experiments (www.grimsel.com).

Hydrogeological maps of the UK at various scales. Hydrogeological maps of the UK provide information on major aquifers, including geological and lithological information, surface drainage systems and water quality issues. The 23 maps show information on surface water features, the three dimensional geometry of aquifers, groundwater levels, abstractions and quality including saline intrusion in varying amounts of detail. They range in scale from 1:625 000, for the national map of the hydrogeology of England and Wales, down to 1:25 000 for some of the smaller regional maps.

The hydrogeological map indicates aquifer potential in generalised terms using a threefold division of geological formations: those in which intergranular flow in the saturated zone is dominant, those in which flow is controlled by fissures or discontinuities and less permeable formations including aquifers concealed at depth beneath covering layers. Highly productive aquifers are distinguished from those that are only of local importance or have no significant groundwater. Within each of these classes the strata are grouped together according to age or lithology. The 1:625 000 scale data may be used as a guide to the aquifers at a regional or national level, but should not be relied on for local information.

New acquisitions of all forms of geological data received from external organisations are recorded in the accessions database and the digital or analogue data itself is then available to users. Data is in the form of reports, plans and digital information. This information comes from a wide variety of sources, including public bodies and agencies and commercial organisations. The data itself will be incorporated into existing corporate collections or may form a new collection in its own right. The rate of transfer will depend on priorities and requirements of both internal and external users. Data is continuously removed from the collection, all except recently received material will have been processed.

The data comprises four GIS layers representing the permeability of geological deposits for Great Britain (bedrock, superficial, artificial and mass movement deposits). The permeability data has been derived from DiGMap-GB (Digital Geological Map Data of Great Britain), and therefore reflects the scale of DiGMap-GB. For the majority of the Great Britain, the scale is 1:50,000, however in areas where the geology is not mapped to this scale, the next best available scale is used. For bedrock deposits this is 1:250,000 and for superficial deposits this is 1:625:000. Artificial ground and mass movement deposits have not been mapped beyond 1:50,000. The data is updated annually, or after a major new release of DiGMap-GB. The permeability data describes the fresh water flow through geological deposits and the ability of a lithostratigraphical unit to transmit water. Maximum and minimum permeability indices are given for each geological unit to indicate the range in permeability likely to be encountered and the predominant flow mechanism (fracture or intergranular). Neither of the assigned values takes into account the thickness of either the unsaturated or saturated part of the lithostratigraphical unit. The data can be used freely internally, but is licensed for commercial use. It is best displayed using a desktop GIS, and is available in vector format as ESRI shapefiles and MapInfo TAB files.

Results of Electrical Resistivity Tomography (ERT) conducted in Kwale County, Kenya December 2015 and June 2016 by University of Nairobi and Water Resources Management Authority as part of the Gro for GooD project (https://upgro.org/consortium/gro-for-good/) to characterize the aquifers in the study area. There were eight transects of length 1.2 to 6km, running W-E and NNE-SSW parallel to coastline. ERT data was analysed using RES2D inversion software. Gro for GooD - Groundwater Risk Management for Growth and Development

The data comprises GIS layers representing the permeability of artificial deposits for Great Britain. The permeability data has been derived from DiGMap-GB (Digital Geological Map Data of Great Britain), and therefore reflects the scale of DiGMap-GB. For the majority of the Great Britain, the scale is 1:50,000. The data is updated annually, or after a major new release of DiGMap-GB. The permeability data describes the fresh water flow through these deposits and the ability of a lithostratigraphical unit to transmit water. Maximum and minimum permeability indices are given for each geological unit to indicate the range in permeability likely to be encountered and the predominant flow mechanism (fracture or intergranular). Neither of the assigned values takes into account the thickness of either the unsaturated or saturated part of the lithostratigraphical unit. The data can be used freely internally, but is licensed for commercial use. It is best displayed using a desktop GIS, and is available in vector format as ESRI shapefiles and MapInfo TAB files.

The data comprises a GIS layers representing the permeability of Superficial geological deposits for Great Britain. The permeability data has been derived from DiGMap-GB (Digital Geological Map Data of Great Britain), and therefore reflects the scale of DiGMap-GB. For the majority of the Great Britain, the scale is 1:50,000, however in areas where the geology is not mapped to this scale, the next best available scale, 1:625:000, is used. The data is updated annually, or after a major new release of DiGMap-GB. The permeability data describes the fresh water flow through geological deposits and the ability of a lithostratigraphical unit to transmit water. Maximum and minimum permeability indices are given for each geological unit to indicate the range in permeability likely to be encountered and the predominant flow mechanism (fracture or intergranular). Neither of the assigned values takes into account the thickness of either the unsaturated or saturated part of the lithostratigraphical unit. The data can be used freely internally, but is licensed for commercial use. It is best displayed using a desktop GIS, and is available in vector format as ESRI shapefiles and MapInfo TAB files.

This dataset was generated with a novel process-based stochastic modelling approach to investigate the productivity and sustainability of groundwater abstractions in the Precambrian basement aquifer in Ghana. The statistical distribution of the generated synthetic yield data was found in very good agreement with observed yield data from the same Ghanaian aquifer. The dataset includes more than 40,000 simulated values of maximum allowable yield and corresponding transmissivity values for different realisations of aquifer heterogeneity, net recharge values, and borehole depth. Further details about the dataset and the method of generation and collection can be found in the article by Bianchi et al. (2020) "Investigating the productivity and sustainability of weathered basement aquifers in tropical Africa using numerical simulation and global sensitivity analysis" published in the Water Resources Research journal. This research was supported by the UKRI British Geological Survey NC-ODA grant NE/R000069/1 and NE/M008827/1.

Results of Vertical Electrical Soundings (VES) study conducted in Kwale County, Kenya in July and August 2017 by University of Nairobi and Water Resources Management Authority as part of the Gro for GooD project (https://upgro.org/consortium/gro-for-good/) to determine the existence of deeper aquifers.