Direct geological observations made during field work, tied to positional information collected by hand-held GPS.
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
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
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 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 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.
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.
Porewaters from IODP Expedition 366 were extracted from serpentinite mud volcano sediments onboard the RV JOIDES Resolution (see Fryer et al, 2017; 2018 for details). Selected samples were then analysed at the University of Southampton for 87Sr/86Sr and boron isotopes and SUERC for stable hydrogen and oxygen isotope data. The strontium isotope data has recently been accepted for publication (Albers et al., 2019 (In Press) Fluid–rock interactions in the shallow Mariana forearc: carbon cycling and redox conditions, Solid Earth special issue "Exploring new frontiers in fluids processes in subduction zones").
The dataset consists of daily rainfall data for 23 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 November 2018. Gro for GooD: Groundwater Risk Management for Growth and Development