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The dataset consist of daily rainfall data for 22 manual rain gauge stations installed by Gro for GooD project within and about the study area. The installed stations covering four river catchments name Ramisi River, Mukurumudzi River, Mtawa River and Mwachema River in Kwale County. The dataset period is from January 2016 to September 2017. Gro for GooD: Groundwater Risk Management for Growth and Development
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. This data is available as vector data, 25m gridded data or alternatively linked to a postcode database – the Derived Postcode Database. A series of GIS (Geographical Information System) maps show the most significant hazard areas. The ground movement, or subsidence, hazards included are landslides, shrink-swell clays, soluble rocks, running sands, compressible ground and collapsible deposits. The newGeoSure Insurance Product uses the individual GeoSure data layers and evaluates them 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 Derived Postcode Database (DPD) contains generalised information at a postcode level. The DPD is designed to provide a ‘summary’ value representing the combined effects of the GeoSure dataset across a postcode sector area. It is available as a GIS point dataset or a text (.txt) file format. The DPD contains a normalised hazard rating for each of the 6 GeoSure themes hazards (i.e. each GeoSure theme has been balanced against each other) and a combined unified hazard rating for each postcode in Great Britain. The combined hazard rating for each postcode is available as a standalone product. The Derived Postcode Database is available in a point data format or text file format. It is available in a range of GIS formats including ArcGIS (*.shp), ArcInfo Coverages and MapInfo (*.tab). More specialised formats may be available but may incur additional processing costs. The newGeoSure Insurance Product dataset has been created as vector data but is also available as a raster grid. This data is available in a range of GIS formats, including ArcGIS (*.shp), ArcInfo coverage’s and MapInfo (*.tab). More specialised formats may be available but may incur additional processing costs. Data for the newGIP is provided for national coverage across Great Britain. The newGeoSure Insurance Product dataset is produced for use at 1:50 000 scale providing 50 m ground resolution. This dataset has been specifically developed for the insurance of low-rise buildings. The GeoSure datasets have been developed to identify the potential hazard for low-rise buildings and those with shallow foundations of less than 2 m deep. The identification of ground instability and other geological hazards can assist regional planners; rapidly identifying areas with potential problems and aid local government offices in making development plans by helping to define land suited to different uses. Other users of these data may include developers, homeowners, solicitors, loss adjusters, the insurance industry, architects and surveyors. Version 7 released June 2015.
A 1:250,000 map showing the main geological bedrock divisions in Northern Ireland. The bedrock shown on GeoIndex map comprises the bedrock geology, which represents the outcrops (at surface) and subcrops (at near-surface, beneath superficial deposits) in Northern Ireland. For each rock unit there is a brief generalised description showing the major rock group, rock type and age under the following headings. LEX_D: The name of the selected area. This can be a group, formation or igneous intrusion e.g. dyke. LEX_RCS: Map code as it appears on the published 1:250,000 map. RCS_D: The name of the dominant types of rock (lithologies) in the different areas shown on the map e.g. granite. The names of the rock types given here are often generalisations, appropriate for the large areas of geological coverage at this scale. These areas may include a number of different geological formations whose distribution can only be portrayed on more detailed geological maps. RANK: Identifies formations and groups. Min_Time_D and Max_Tim_D: The age of the rock unit in terms of periods, relatively smaller units of geological time e.g. Carboniferous, Jurassic etc. Some of the map areas include rocks with a range of ages and these are shown as such e.g. Triassic to Cretaceous. The oldest metamorphic rocks are described as Moinian and Dalradian. The rocks range in age from those deposited relatively recently, some 2 million years ago, back to ancient and highly altered Precambrian rocks over 2500 million years old. In broad terms the youngest rocks are found in the south and east of the UK, the oldest in the north and west. VERSION: Version of the data. RELEASED: Date of release/update of the data. CAUTION Because of the generalisation and simplification used in the compilation of this map, it should not be used to determine the detailed geology of any specific sites. It is best used to provide a basic understanding of the geology of the country in general, and for showing the geology of large regions where broad trends are more important than specific details. Persons interested in the detailed geology of particular sites should consult the latest large-scale maps or the Geological Survey of Northern Ireland at:- Geological Survey of Northern Ireland Colby House Stranmillis Court Belfast BT9 5BF
The file consists of data sets from Kwale County, Kenya that describe biophysical characteristics of the catchment overlaid as layers. These include Basin, Sub-basins extent, Soil, DEM, Landuse, Slope, Rivers, Outlets and Monitoring Points. The data are in raster, shapefile, polygon, polyline and point format.
The data shows superficial polygons, bedrock polygons and fault linear geological information, sourced from published Geological Survey of Northern Ireland 1:250 000 scale maps - superficial (Quaternary 1991) and bedrock (Solid 1997). Full Northern Ireland coverage is available (Bedrock extends west into RI). The data is available in vector format. BGS licensing terms and conditions apply to external use of the data.
This data set contains land cover/land use data for the year 1990 and 2015 obtained through processing of Landsat images of US Geological Survey. These data sets were obtained through a supervised classification carried out with Landsat 8 image for 2015; Landsat 4 and 5 were used for land use classification of 1990. Gro for GooD: Groundwater Risk Management for Growth and Development
These data files represent simulations of hydrated cation vacancies in the mantle mineral forsterite (Mg2SiO4) undertaken using the CASTEP atomic scale simulation code (http://www.castep.org/). Results from these simulations allow the structure relative stability of different defect configurations to be compared. Three types of cation vacancies are considered (M1, M2 and Si) each decorated by hydrogen in order to charge balance the system. For M1 and M2 this results in multiple configurations (with hydrogen bonded to different oxygen atoms around the vacant site). For Si there is only one configuration as all four oxygen atoms are bonded to hydrogen for the charge neutral defect. For each configuration input files detail the initial atomic structure of the defect along with simulation parameters. Output files record the progress of the simulation, the final atomic structure, the energy of this structure, and various predicted properties of the structure. Only ASCII output data is included as binary data created by CASTEP is not intended to be portable, and can easily be recreated using the ASCII files.
The database contains satellite images of the UK purchased by the BGS or on its behalf by NERC. It includes data from the Lansdat, SPOT, Radarsat and ERS satellites. The images are stored in proprietary format on various types of magnetic media. The data are currently stored by path-row scene numbers and as mosaics on tapes, CDs and drives. Entire UK is covered by the dataset, however, there are gaps in coverage from individual sensors. Coverage exists for countries (or parts of countries) where work has been carried out.
Rocks, thin sections and paper registers: samples from past BGS surveys and projects overseas. Though neglected for several years, the collection has been re-opened for addition of new material from overseas projects and donations. Paper registers are arranged by accession order on a country by country basis. The records have not been placed in electronic format and are not currently machine readable.
Data identifying landscape areas (shown as polygons) attributed with geological names and rock type descriptions. The scale of the data is 1:25 000 scale. Onshore coverage is partial and BGS has no intention to create a national coverage at this scale. Areas covered are essentially special areas of 'classic' geology and include Llandovery (central Wales), Coniston (Lake District) and Cuillan Hills (Isle of Skye). Superficial deposits are the youngest geological deposits formed during the most recent period of geological time, the Quaternary, which extends back about 2.58 million years from the present. They lie on top of older deposits or rocks referred to as bedrock. Superficial deposits were laid down by various natural processes such as action by ice, water, wind and weathering. As such, the deposits are denoted by their BGS lexicon name, which classifies them on the basis of mode of origin (lithogenesis) with names such as, 'glacial deposits', 'river terrace deposits' or 'blown sand'; or on the basis of their composition such as 'peat'. Most of these superficial deposits are unconsolidated sediments such as gravel, sand, silt and clay. The digital data includes attribution to identify each deposit type (in varying levels of detail) as described in the BGS Rock Classification Scheme (volume 4). The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence.