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
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 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
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.
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.
Between 2001 and 2003 BGS received approximately 1400 1:25 000 paper maps and associated card index from the Office of the Deputy Prime Minister (now Department for Communities and Local Government (CLG)). The maps, originally compiled by the Minerals Division of the Ministry of Housing and Local Government (CLGs historic predecessor), contain hand drawn boundaries for permitted, withdrawn and refused mineral planning permissions, and worked ground. They also contain hand drawn boundaries for land use at each site. These 'MHLG' maps show information collated from the 1940s (retrospectively to 1930) to the mid 1980s. The index cards provide supplementary information regarding name, operator, dates and relevant local authority. Data depicted on the maps are for England only and include; [a] all planning appeals, departures and called in cases whether permitted or refused; [b] all planning permission and refusal data for various local authority areas which were obtained by Departmental officials through visits to authorities in a staged programme spread over many years. Priority was placed on areas that were giving rise to then current casework issues thus at the time when the maintenance of the maps ended (mid 1985), some authority information had been updated recently but other areas had not been visited for many years. [c] land use present at each site. Categories include: derelict areas, restored quarries (filled and unfilled), tip heaps and spoil heaps, and wet areas. The variable completeness of the data sets should be kept in mind when this material is being used. Land use polygons have been digitised from the MHLG maps and attribute information has been provided from the map legend and the appropriate card in the card index. The principal aim of the data is to show land use present in areas of land that have been affected by the extraction of minerals.
This is a digital version of the paper based 1:1M scale Offshore Quaternary map, North and South sheets. Customers should be aware that, given the age of the paper based maps, the digital version is not quality assured and BGS can accept no liability for the information held on the digital map. In addition, published 1:250,000 Quaternary maps are available. These contain more detailed subdivision of the Quaternary succession. The original paper based map covers the UK Continental shelf. The paper map is symbolised using lithology and chronology. The lithological boundaries were compiled from the data published in the BGS 1:250,000 Quaternary Geology map series and from revised interpretation of core and borehole data. Core and borehole sites are commonly 5 to 20 km apart, thus the lithological divisions are generalised. The formations and sequences identified by BGS have been grouped into Quaternary age ranges. The geological codes assigned to the digital version of the map have been compiled using the key information held on the paper map. The LEX-ROCK style codes combine the lithology and chronology and have been subject to the standard BGS approval process.
This dataset comprises data from Wessex Archaeology surveys which were conducted over various wreck sites between 2003 and 2010. Three of these datasets were acquired in English waters, one in Welsh waters and one in Scottish waters. The geology and geophysics component of the data are archived by British Geological Survey (BGS) in the Marine Environmental data and Information Network (MEDIN) Data Archive Centre (DAC) for Geology and Geophysics. The data include multibeam echosounder, single-beam echosounder, sidescan sonar, sub-bottom profiler, magnetometer, and geological data (vibrocore logs and photos). Data were also provided to other archive centres as appropriate - UKHO (bathymetry), Royal Commission Ancient and Historic Monuments Wales (geophysics), Royal Commission on the Ancient and Historical Monuments of Scotland (geophysics and diving/ROV), Archaeology Data Service (diving/ROV). Although generated for archaeological purposes, these high quality and resolution data are capable of re-use by marine surveyors and scientists from a range of different fields. Data are delivered via the BGS Offshore GeoIndex www.bgs.ac.uk/GeoIndex/offshore.htm and additional data are available on request email@example.com.
The datasets contain time-resolved synchrotron X-ray micro-tomographic images (grey-scale and segmented) of multiphase (brine-oil) fluid flow (during drainage and imbibition) in a carbonate rock sample at reservoir pressure conditions. The tomographic images were acquired at a voxel-resolution of 3.28 µm and time-resolution of 38 s. The data were collected at beamline I13 of Diamond Light Source, U.K., with the aim of investigating pore-scale processes during immiscible fluid displacement under a capillary-controlled flow regime. Understanding the pore-scale dynamics is important in many natural and industrial processes such as water infiltration in soils, oil recovery from reservoir rocks, geo-sequestration of supercritical CO2 to address global warming, and subsurface non-aqueous phase liquid contaminant transport. Further details of the sample preparation and fluid injection strategy can be found in Singh et al. (2017). These time-resolved tomographic images can be used for validating various pore-scale displacement models such as direct simulations, pore-network and neural network models, as well as for investigating flow mechanisms related to the displacement and trapping of the non-wetting phase in the pore space.
UKCCSRC Call 2 Project C2-214 . The dataset consists of six excel spreadsheets containing data from six dynamic operating scenarios for post-combustion CO2 capture on coal, implemented at the UKCCSRCs PACT amine pilot facility. Critical plant parameters including flowrates, temperatures, pressure, solvent composition and CO2 capture rate are recorded. Additional steady-state baseload data and information regarding plant dimensions are provided in a separate word document. The dataset was generated as part of a pilot-scale test campaign which aimed to investigate the effect of differences in plant construction on response to dynamic operations, and to provide a proof-of-concept for the control of plant parameters using continuous, online solvent measurements. They may be of use to those interested in the dynamic modelling of post-combustion CO2 capture, for the purpose of model validation. A collaborative research paper with researchers from Imperial College London is planned.