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2020

117 record(s)
 
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    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.

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    These files contain ground penetrating radar (GPR) data collected from the glacier margins and forelands of Falljökull and of Kvíárjökull, south-east Iceland, between 2012 and 2014. The data were collected using a Sensors and Software PulseEKKO Pro GPR system. For each glacier the data are stored in folders that indicate the month and year in which the surveys were conducted. Each GPR profile has a Sensors and Software GPR (.DT1) file, and associated header (.HD) and GPS (.GPS) files. The .HD files (which can be opened as text files) give the parameters and equipment used for each profile. GPS files are not available for some of the profiles collected on Falljökull in April 2013 (due to damage that occurred to the GPS linked with the PulseEKKO Pro system). For these profiles start, finish, and mid profile positions were recorded using differential GPS, and locations of these profiles are instead given by GIS shapefiles in the relevant folders. These datasets have been used in the publications listed below. Further information relating to the data collection methodology can be found therein. Phillips, Emrys; Everest, Jez; Evans, David J.A.; Finlayson, Andrew; Ewertowski, Marek; Guild, Ailsa; Jones, Lee. 2017 Concentrated, ‘pulsed’ axial glacier flow: structural glaciological evidence from Kvíárjökull in SE Iceland. Earth Surface Processes and Landforms, 42 (13). 1901-1922. https://doi.org/10.1002/esp.4145 Phillips, Emrys; Finlayson, Andrew; Bradwell, Tom; Everest, Jez; Jones, Lee. 2014 Structural evolution triggers a dynamic reduction in active glacier length during rapid retreat: evidence from Falljökull, SE Iceland. Journal of Geophysical Research: Earth Surface, 119 (10). 2194-2208. https://doi.org/10.1002/2014JF003165 Phillips, Emrys; Finlayson, Andrew; Jones, Lee. 2013 Fracturing, block-faulting and moulin development associated with progressive collapse and retreat of a polar maritime glacier: Virkisjokul-Falljokull, SE Iceland. Journal of Geophysical Research: Earth Surface, 118 (3). 1545-1561. https://doi.org/10.1002/jgrf.20116 Flett, Verity; Maurice, Louise; Finlayson, Andrew; Black, Andrew; MacDonald, Alan; Everest, Jez; Kirkbride, Martin. 2017. Meltwater flow through a rapidly deglaciating glacier and foreland catchment system: Virkisjökull, SE Iceland. Hydrology Research, 48 (6). 1666-1681. https://doi.org/10.2166/nh.2017.205

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    Data produced during three BGS ground gas surveys (August 2018, and May and October 2019) of up to 83 point measurements across four pre-determined locations within the UK Geoenergy Observatories (UKGEOS) Glasgow site, located to the south of the Cuningar Loop Woodland Park. The dataset includes measurements of CH4 and CO2 flux between the ground surface and lower atmosphere, along with concentrations of CO2, O2, H2, H2S and ‘residual balance’ in near surface ground gas measured at c.70 cm below ground level. Further details about the dataset can be found in the accompanying report. http://nora.nerc.ac.uk/id/eprint/528737/

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    This datasets contains 323 observations of borehole breakouts across and drilling induced tensile fractures from borehole imaging used to re-characterise the UK stress field orientation in 2016. This was published in the Journal of Marine and Petroleum Geology and is openly available using doi:10.1016/j.marpetgeo.2016.02.012 The observations relate to 39 wells from Central and Northern England and are provided with links to screen grabs of the images for clarity. The basic well meta data is supplied along with a description of the dataset. The Images were generated in the IMAGE DISPLAY module of the Landmark RECALL software. and are supplied on an “as shown” basis. Descriptions of the tools and the techniques used are listed in the accompanying paper: KINGDON, A., FELLGETT, M. W. & WILLIAMS, J. D. O. 2016. Use of borehole imaging to improve understanding of the in-situ stress orientation of Central and Northern England and its implications for unconventional hydrocarbon resources. Marine and Petroleum Geology, 73, 1-20.

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    This summary borehole information release is for ‘as-built’ mine water and environmental baseline monitoring boreholes of the UK Geoenergy Observatories (UKGEOS) Glasgow facility at Cuningar Loop. The information pack from BGS contains a brief report with summary tables of locations, drilled depths, screened intervals and illustrative interpretations, and is accompanied with a spreadsheet and shapefile of the borehole locations and drilled depths. The purpose is to give potential users of the Glasgow Observatory an outline of the as-built infrastructure including condition of the target mine workings, as a summary of the more detailed information packs for each borehole. This dataset was updated in June 2020. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/526889

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    **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

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    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: landslides, shrink-swell clays, soluble rocks, running sands, compressible ground and collapsible deposits. These hazards are evaluated 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 evaluated hazards are then linked to a postcode database - the Derived Postcode Database (DPD), which is updated biannually with new releases of Ordnance Survey Code-Point® data (current version used: 2020.1). The newGIP is provided for national coverage across Great Britain (not including the Isle of Man). This product is available in a range of GIS formats including Access (*.dbf), ArcGIS (*.shp) or MapInfo (*.tab). The newGIP is produced for use at 1:50 000 scale providing 50 m ground resolution.

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    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 2018 to December 2018. 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.

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    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.

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    This dataset presents meteorological records from 3 weather stations around a glacier in southeast Iceland from 2009-2020. The weather stations were installed as part of British Geological Survey’s Glacier Observatory project, and were positioned at different altitudes close to the ice to record glacier weather. The data is in text format, and records key meteorological parameters including temperature, relative humidity, atmospheric pressure, precipitation, wind speed and direction, and solar irradiance. The weather stations were placed around Virkisjökull-Falljökull, an outlet glacier of the Öraefajökull ice cap in south east Iceland (AWS1 at 16°48'19"W, 63°57'53"N; AWS3 at 16°47'5"W, 63°58'13"N, and AWS4 at 16°48'7"W , 63°59'52"N). AWS1 was installed in September 2009, with AWS3 installed in September 2010, and AWS4 in September 2011. AWS3 and AWS4 were decommissioned in August 2018, and AWS1 in May 2020. AWS1 was located 100m from the current glacier margin at 156m a.s.l.; AWS3 sat 50m from the icefall at 444m a.s.l.; and AWS4 was situated on a clifftop overlooking the glacier at 858m a.s.l., close to the Equilibrium Line Altitude of the glacier. These were positioned at different altitudes to determine changes in weather parameters with height, thus producing for example, temperature or humidity gradients. The three stations were wirelessly linked, allowing data from the upper stations to be offloaded to the datalogger on the lower station. On-site downloads were completed using Campbell Scientific LoggerNet 4.x series software. AWS1 maintained mobile phone telemetry enabling automatic remote downloads of data from all stations on a daily basis, and remote access for software updates and health checks. Each AWS supported a slightly different sensor array, depending on the requirements of the site, and were mounted on 1.5m Campbell Scientific tripods. All of the stations were designed around a Campbell Scientific CR800 datalogger, and were solar powered, using combinations of PV panels up to 100W, supplying a Campbell Scientific 25Ah battery mounted on the tripod, plus a 110Ah gel cell battery back up in a separate housing. The data will be of use to researchers and students interested in the weather of southeast Iceland, glacier climate, local influence of glaciers on more regional synoptic weather systems, glacier climate modellers, glacier hydrologists and hydrogeologists. The BGS project was led and coordinated by Dr Jez Everest, technical support and implementation by Heiko Buxel and data Quality Assurance and checking by Dr Jon Mackay. Any periods where equipment malfunction, testing or replacement meant that no or unreliable data were collected are indicated by a ‘NAN’ value in the datasets.