Type of resources
Contact for the resource
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 data set contains Soil Data used in the Gro for GooD Project in Kwale, Kenya based on KENSOTER database and soil survey in study area. The KENSOTER dataset, specific for Kenya, was compiled by the Kenya Soil Survey (KSS) and ISRIC and released in 2006 where ISRIC plays a lead role in methodology development and programme implementation (http://www.isric.org/projects/soil-and-terrain-soter-database-programme). The dataset includes over 600 soil components, including synthetic profiles, which have been derived from soil survey reports and expert knowledge. The second version of the dataset which has been made available includes additional soil profile database and is also used for the assessment of soil carbon stocks. The gaps in the measured soil profile data have been filled using a step-wise procedure which includes three main stages: (1) collate additional measured soil analytical data where available; (2) fill gaps using expert knowledge and common sense; (3) fill the remaining gaps using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity. The data have recently been used for the Green Water Credit (GWC) programme in the Upper Tana River Valley. This dataset was prepared for the Gro for GooD project by Mike Thomas, Rural Focus Ltd., Kenya; John Gathenya, JKUAT, Kenya. 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.
Direct geological observations made during field work, tied to positional information collected by hand-held GPS.
This data layer is the BGS contribution to the OneGeology project, providing UK onshore geological data at 1:625 000 scale and UK continental shelf seabed sediment data at 1:1 million scale. This map data is collected as part of an ongoing BGS project: Digital Geological Map of Great Britain (DiGMapGB). This layer is the seabed sediment data layer.
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
Collection of c.5,000 items relating to economic mineral exploration and exploitation in Scotland (with some records for Northern England) pre c.1960. Incorporates Non-Ferrous Metallic Ores Committee and Mineral Development Committee records. Collection originally arranged by mineral commodity, but new data is added in accession order.