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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.
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 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 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
**THIS DATASET HAS BEEN WITHDRAWN** Ethiopia experienced severe drought in 2015-16. Many rural communities experienced declines in the performance of their water supply systems. As a result UNICEF commissioned a real-time monitoring and responsive operation and maintenance programme for point source rural water supplies across Central, Northern and Eastern Ethiopia. The water point monitoring survey was coordinated by UNICEF and conducted by World Vision Ethiopia and Oxfam Ethiopia. Data was collected between January and May 2016. Akvo Flow, a mobile survey tool, was used to collect data using questionnaires which were completed by enumerators and uploaded to central servers in near real time. The dataset includes data on functionality, access, usage and water quantity from 5196 rural water points. UNICEF provided the dataset to BGS. BGS reorganised, cleaned, and conducted quality control and analysis of the dataset. A companion paper has been published with more details of the methodology and results of the monitoring survey, https://doi.org/10.1038/s41467-020-14839-3
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 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 firstname.lastname@example.org.
These data comprise four phases of geophysical survey carried out in 2002, 2007, 2008 and 2011, covering various areas within the Thames Estuary as part of an overarching archaeological investigation called the London Gateway project (2001-2020) ahead of planned dredging works. 88635_49575_2002 - Area of sidescan sonar data within the Thames Estuary (shell haven) area. The data were acquired in OSGB36 British National Grid coordinates and covers the area: Top Left - 570395.312500 E, 183444.953125 N, Top Right - 604097.250000 E, 183444.953125 N, Bottom Right - 604097.250000 E, 177590.140625 N, Bottom Left - 570395.312500 E, 177590.140625 N. 88635_61207_2007 - Geophysical survey comprising sidescan sonar data acquired over 13 separate wreck sites. Corresponding MBES data were acquired previously in 2005 and are deposited with the UKHO. SSS data comprise a total of 83 .xtf files with 2 channels. Acquired in WGS84 UTMz31N coordinates. 400 KhZ frequency. Range 50 m. Sensor positions rather than ship positions for each line in metadata. Each wreck location is centred on (UTMz31N): Amethyst - 364468 E, 5708659 N; Ancient - 325490 E, 5708230 N; Argus - 359499 E, 5706071 N; Ash - 360905 E, 5706497 N; Atherton - 359708 E, 5706186 N; Dynamo - 401449 E, 5743755 N; EastOaze - 362786 E, 5707385 N; ErnaBoldt - 403551 E, 5746997 N; Letchworth - 357544 E, 5705592 N; London - 343115 E, 5707365 N; Pottery - 346619 E, 5706276 N; SS Storm - 406001 E, 5747115 N; Unknown wreck - 375530 E, 5714052 N. 88635_61208_2008 - Geophysical survey comprising sidescan sonar and multibeam echosounder data over a single wreck site. SSS data comprise a total of 7 .xtf files with 2 channels. 400 KhZ frequency. Range 50 m. Acquired in WGS84 Geographic coordinates. Sensor positions rather than ship positions for each line in metadata. Wreck location in WGS84 UTMz31N: Aisha - 363982 E, 5707656 N. 88635_79800_2011 - Geophysical survey comprising magnetometer, sidescan sonar and multibeam echosounder data undertaken over three separate blocks; Area 9to11, Area 26to36 and Area 105. Area9to11:332980 E, 5708675 N; 332980 E, 5708226 N; 338586 E, 5707813 N; 338681 E, 5708242 N. Area26to36:339693 E, 5708096 N; 339571 E, 5707680 N; 345670 E, 5706229 N; 350490 E, 5706371 N; 350338 E, 5706838 N; 345680 E, 5706685 N. Area105:383734 E, 5719704 N; 384035 E, 5719369 N; 385920 E, 5720804 N; 385619 E, 5721134 N. Where corresponding multibeam echosounder data were acquired, these data have been archived with the United Kingdom Hydrographic Office (UKHO). Overarching full archaeological investigation, including results of the assessment of these data, and technical reports are archived with the Archaeology Data Service (ADS) (https://doi.org/10.5284/1083494).