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This dataset contains data from two seismic and one infrasound array deployed at Mt. Etna during the late part of the 2020-2021 eruptive crises (May-November 2021). The arrays were composed as follow: 1) a 7-element array of 3-component, broadband (Trillium T120 compact) seismometers; 2) a 5-element array of 3-component short-period (Lennartz LE-3Dlite-MkII); 3) a 6-element array of broadband infrasound microphones (IST2018). All data were recorded with a sampling rate of 100 Hz and 24-bit resolution using Digos Datacube3 digitizers. The data were collected through a collaboration between the University of Liverpool, UK, and the Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy, with the purpose of characterizing pre- and syn-eruption tremor signals at Etna, and their links to the timing, style and intensity of paroxysmal eruptive activity at the volcano. The dataset contains records of different examples of paroxysmal activity (i.e., intense episodes of sustained Strombolian explosions accompanied by emission of ash at the vent) as well signals associated with as explosive degassing at the summit vent. Data recovery rates for this experiment were high; there are only very minor gaps in the data owing to periods of scheduled maintenance and data download during the deployment period.
Fault analyses used to estimate underlying dyke properties, imaged in 3D seismic reflection data. The seismic reflection data are located offshore NW Australia and image a series of Late Jurassic dykes and overlying dyke-induced normal faults; these structures occur within a sedimentary basin and are now buried beneath several kilometres of rock. The specific seismic reflection dataset used for this study so far is the Chandon 3D survey, which is freely available through https://www.ga.gov.au/nopims. Other 3D seismic surveys (e.g., Glencoe) near Chandon will be used in due course to extend the study area. Analyses of these faults uses an array of point pairs, defined by X, Y, and Z co-ordinates, that mark where certain sedimentary beds are intersected by the fault in its footwall and hanging wall. Mapping of these points every 125 m along each studied fault, for 11-14 sedimentary horizons, was conducted using Petrel seismic interpretation software. From the footwall and hanging wall point pairs, the throw, heave, displacement, and dip of each fault was calculated. By measuring distances between corresponding point pairs on opposing faults, graben width properties and estimated down-dip fault continuations were calculated. The expression of dyke-induced faults observed at the surface in active volcanic areas is often used to estimate dyke location, thickness (expected to roughly equal the heave on overlying faults), and upper tip depth (expected to occur where overlying, oppositely dipping faults meet; i.e. the point of the ‘V’). This study represents the first time natural dyke-induced faults and underlying dykes have been imaged in 3D and quantitatively studied. The dataset presented here allows hypotheses concerning relationships between dyke-induced fault geometries and dyke properties to finally be tested, and provides insight into normal fault kinematics; this will be useful to structural geologists and volcanologists.
Data set is of drill fluid return, settling tank, and bore hole flush fluids sampled during the development of GGC01 seismic monitoring borehole and GGA07 and GGA08 mine water geothermal wells at the UKGEOS - Glasgow site.
2020 data consists of high frequency (100 Hz) data from two horizontal induction coils measuring the Earth's magnetic field at the Eskdalemuir Observatory in the United Kingdom (Location in Geographic Coordinates: 55.314° N 356.794° E and Elevation: 245m above mean sea level).
The UK Geoenergy Observatories (UKGEOS) Glasgow baseline surface water chemistry dataset1 released from the BGS comprises an excel file with two spreadsheets. The first spreadsheet contains information on the chemical composition of 98 surface water samples (84 samples and 14 field duplicates) collected monthly for 14 months between February 2019 and March 2020 from six sampling locations. These comprised three on the River Clyde at the UKGEOS Glasgow Cuningar Loop borehole cluster and three from control sites (two on the River Clyde and one on the Tollcross Burn). Field measurements of pH, redox potential, specific electrical conductance, temperature, dissolved oxygen and alkalinity and laboratory chemical data for concentrations of 71 inorganic and 10 organic substances in the surface water samples are presented. The dataset contains locational and descriptive information about the samples also. The analyte name, element chemical symbols, analytical method, units of measurement and long-term limits of detection are recorded in header rows at the top of the spreadsheet. The limits of detection/quantification for each monthly batch of samples are documented in rows at the head of each batch. The dataset includes abbreviations documenting quality control issues such as missing values. A guide to abbreviations used in the dataset is provided in the second excel spreadsheet released with the data. Further details about the dataset can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/529818.
Thermal and Alternating Field demagnetisation data from Visean-carbonates from Meathop Quarry sampled in 2018. This covers the Martin Limestone Formation. MQ are sample codes sampled and data collection carried out by Tereza Kamenikova and Dr Mark Hounslow. The AF demagnetisation data flagged with a *G has a GRM correction applied along the lines described in Stephenson (1993). Data measured on a 2G instruments RAPID, with blank correction as in Hounslow(2019). File for of demagnetisaon data in in header and also described in the GM4Edit software (Hounslow et al. 2019). Sub-samples from main sample given codes like MQ2.1, MQ2.2 etc Hounslow, M.W. 2019. GM4Edit (v.5.6) - a windows program to manage, plot, export and manipulate palaeomagnetic magnetometer datasets. http://dx.doi.org/10.13140/RG.2.2.31877.91361/1.
This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma. Full details about this dataset can be found at https://doi.org/10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa
The data release includes groundwater chemistry data from 15 samples collected during the borehole test pumping phase at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers groundwater samples collected between 14 January 2020 and 21 February 2020 and then analysed for the concentrations of selected parameters at BGS and other laboratories. It contains a report and 2 data sheets. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/531098/.
The BGS Permeability data product shows estimated rates of water movement from the ground surface to the water table. BGS Permeability version 8 incorporates the latest geology mapping (BGS Geology 50k). This includes updates to the lithology-coding schema, the LEX_RCS. A 2-part code used to identify the named rock unit from the BGS lexicon of named rock units (LEX) followed by a Rock Classification Scheme (RCS) code which describes the rocks lithological characteristics e.g. texture and composition. Updates to these codes and latest dissolution hazard data sourced from BGS GeoSure: Soluble Rocks have been reviewed and classified as part of the version 8 release. The product covers Great Britain and is presented at a scale of 1:50 000, based on the geological data at the same scale. However, in areas where the geology is not mapped to this scale, the next best available scale is used. The BGS Permeability data product can be used to compare the relative permeability of deposits at the regional scale, indicating where highly permeable rocks could allow rapid infiltration to occur, or where less permeable rocks are present and water could pond on the ground surface. The dataset can be used as a component in a wide range of geo-environmental assessments such as natural flood management, Sustainable Drainage Systems, engineering desk studies, slope stability, and aquifer vulnerability. It is for use at the regional scale and is not recommended for use at the site-specific scale.
The data release includes groundwater chemistry data from 8 samples and 2 tap water samples collected during the borehole construction phase at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers water samples collected between December 2018 and December 2019 and then analysed for the concentrations of selected parameters at BGS and other laboratories. It contains a report and a data sheet. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/530443