Topic

 

geoscientificInformation

1268 record(s)

 

Type of resources

Available actions

Topics

Keywords

Contact for the resource

Provided by

Years

Formats

Representation types

Update frequencies

Scale

Resolution

From 1 - 10 / 1268
  • Categories  

    The file contain groundwater level/depth (WL), Groundwater and Surface Water Quality data (EC (micro-siemens per centimetre or µS/cm), Temperature (degrees C) and pH) for 49 points under fortnightly monitoring relevant to Gro for GooD research project in Kwale County, Kenya. Blank - Data not available. Note this is same dataset as NGDC record number 118189 with extended time series. Gro for GooD: Groundwater Risk Management for Growth and Development

  • Categories  

    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

  • Categories  

    The file contain groundwater level/depth (WL), Groundwater and Surface Water Quality data (EC (micro-siemens per centimetre or µS/cm), Temperature (°C) and pH) for 49 points under fortnightly monitoring relevant to Gro for GooD research project in Kwale County, Kenya. Blank - Data not available. Gro for GooD: Groundwater Risk Management for Growth and Development

  • Categories  

    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.

  • Categories  

    Friction coefficient and frictional stability (rate & state parameter) data for triaxially compressed direct shear experiments on kaolinite-rich china clay and Mg-montmorillonite fault gouges (<2micron grain size). A total of 19 raw experimental datasets are presented as detailed in the index files: 13 on kaolinite-rich china clay, and 6 on cation-exchanged Mg-Montmorillonite. The raw data files, logged at either 1 or 2Hz, comprise confining pressures, upstream and downstream fluid pressures, force experienced by the direct shear assembly during triaxial compression, and absolute volumes of the confining pressure and fluid pressure reservoirs. Data is provided as measured by gauges in the pressure vessel in Volts, and also as calculated in MPa, kN and mm3. Also presented are the outputs of MATLAB models run to simulate the rate and state parameters k, a, b, dc and f0 for each experiment, with error data presented as 2sigma and standard error values. Parameters were determined using a non-linear least-squares fitting routine with the machine stiffness treated as a fitting parameter (c.f. Noda and Shimamoto, 2009). Data were fit by a single set of state variables (a, b, dc) with a linear detrend. Also presented are the outputs of Specific Thermogravimetric Analyses on kaolinite-rich china clay and Mg-montmorillonite.

  • Categories  

    Oju/Obi is a remote part of Eastern Nigeria. There are severe water shortages during the 4-5 month dry season. The hydrogeology of the area is complex, and groundwater is difficult to find. In an attempt to understand and quantify the available groundwater resources within the area, DFID commissioned BGS from 1997 – 2000 to carry out a hydrogeological review of the area and devise appropriate and effective methods for siting wells and boreholes assessing groundwater resources and how best these resources could be developed. The field study involved the collection of time series data including groundwater chemistry and rainfall Cl along with mineralogical information. These results are being used by WaterAid, Local and regional Government to help local communities develop sustainable water supplies.

  • Categories  

    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

  • Categories  

    Digitised version of aeromagnetic survey records of Great Britain comprising a record for each digitised point, supported by survey and 'ends and bends' based line indexes. Original records include flight line records, worksheets, contour sheets and air photos provided by contractors at completion of each survey. Worksheets digitised by BGS during 1980's Smith and Royles 1989.

  • Categories  

    High frequency (100 Hz) data from two horizontal induction coils measuring the Earth's magnetic field at the Eskdalemuir Observatory in the United Kingdom. The data covers the period from January 2019 to December 2019. Also included are examples of Matlab code and the frequency calibration files to convert to the raw data to SI units. Thumbnail spectrograms and metadata are also supplied.

  • Categories  

    This data was produced to support a project looking at low permeability rocks in sub-Saharan Africa. Multiple boreholes were drilled for the project with geology identified from chippings. Groundwater chemistry was analysed from the resulting boreholes. The data contained within this record is from the CD that accompanies the report: J Davies and J Cobbing, 2002. An assessment of the hydrogeology of the Afram Plains, Eastern Region, Ghana. British Geological Survey Internal Report, CR/02/137N. 66pp http://nora.nerc.ac.uk/id/eprint/505607/1/CR_02_137N.pdf The CD has not been uploaded in full elsewhere.