Creation year

2021

40 record(s)
 
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
From 1 - 10 / 40
  • Categories  

    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.

  • Categories  

    The study in three coal mining regions: Lower Silesia, Upper Silesia and Lublin (each N=500) was conducted using Computer Assisted Web Interview (CAWI). The questionnaire includes the block of questions concerning mine water awareness, climate change and local/place attachment. The survey online took 15 to 20 minutes and was prepared after in-depth pilot research among participants with different education level from the mining regions. We used the uninformed approach to the survey, so there were no additional questions nor requirements for participants prior to the survey. Since the mine water energy extraction is a technical issue that is neither well known nor commonly used in the narratives of Poles, we tested survey questions with pilot cognitive interviews to remove the technical language and reduce the number of replies without understanding. The interviews were conducted with 10 participants in July 2020 and due to the pilot's recommendations and results, we implemented additional changes in the final version of the questionnaire. Specifically, some questions were simplified and the background information on mine water extraction was simplified and shortened The survey CAWI was completed by adult people aged 18-65 (N=1500) between 14-19 August 2020 by Kantar Research Agency. The sample was constructed using KANTAR’s internet panel profiled for the basic demographics, such as gender, age, and the town size. Particular attention paid to the quality of the panel is reflected in its structure. Kantar’s internet panel reflects the profile of the Polish population of Internet users in terms of its participants’ demographic characteristics. The sample from each region was 500 respondents and among the full sample (N=1500) we reached only 192 people who chose to call “mining areas” as best description of the area where they live. Although the three voivodships were chosen due to its mining industry the selected sample covers the region in general in which mining communities are statically not fully represented. We also asked about the subjective perception of the area respondents live in, which we further analysed with spatial distribution. The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531

  • Categories  

    The data represent ground motion results obtained from Interferometric Synthetic Aperture Radar (InSAR) for the UKGEOS – Glasgow site. The InSAR techniques used is called Interferometric Point Target Analysis (IPTA) and the BGS processing is based on Sentinel-1 radar satellite data for the period August 2015 - June 2017. The results include time series of displacement (in mm) during this interval and average velocity across the whole period (in mm/yr) along the satellite Line of Sight (Hanssen, 2001). InSAR has provided information on the baseline conditions of ground stability ahead of any underground activity planned in at the Glasgow Geothermal Energy Research Field Site (GGERFS) as described in Bateson and Novellino (2019). References: Bateson, L.; Novellino, A.. 2019 Glasgow Geothermal Energy Research Field Site : ground motion survey report. Nottingham, UK, British Geological Survey, 35pp. (OR/18/054) (Unpublished). Available at http://nora.nerc.ac.uk/id/eprint/524555/ Hanssen, R., 2001. Radar Interferometry: Dordrecht Kluwer Academic Publishers, The Netherlands (2001) (308 pp.)

  • Categories  

    This dataset presents the amount of different magnesium carbonates under different conditions. Here, using batch reactor experiments and mineralogical characterization, we explored magnesite precipitation kinetics in chemically complex fluids whereby the impact of fluid acidity and alkalinity, NaCl, and MgO nanoparticles was investigated. The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531

  • Categories  

    Magnetic time-series from the BGS SWIGS differential magnetometer method (DMM) systems. Funded by NERC, grant number: NE/P017231/1 "Space Weather Impact on Ground-based Systems (SWIGS)". These data consist of measurements of the Earth’s natural magnetic field at the remote site (ILDR) and the natural magnetic field plus the field created by GIC at the underline site (ILDU). The database will include .xyz files with the DMM data and one document with metadata. See Hübert et al. (2020) for further details.

  • Categories  

    Vesicularity (phi) as a function of time for samples of natural hydrated silicate glass (obsidian) from optical dilatrometric analysis. Also numerical model for analysis of dataset and associated user guide.

  • Categories  

    These data represent a series of analyses exploring the seismic behaviours of low-cohesion volcanic sediments – in this case the Neapolitan Yellow Tuff - under varying strain rates. The data include deformation logs from triaxial compression experiments, and the accompanying 12-channel acoustic emission recordings at 10 MHz. These are paired with X-Ray Computed Tomography images of one of the cores from both before and after deformation, to examine damage behaviour. These data include: Deformation logs captured from the triaxial press Acoustic emission event data Processed acoustic emission sonograms for selected events Matlab code for processing of sonograms Matlab code for statistical analysis of the acoustic emission data Before and after X-Ray Computed tomography data for a core which underwent 2% strain at a rate of 4x10-6 s-1. These data relate to Rowley et al - Deformation controlled Long-Period seismicity in low cohesion volcanic sediments https://doi.org/10.31223/osf.io/7rkzv

  • Categories  

    This data is the analysis of the river water of the paper: Wilson et al. (20 "Compartmentalisation and groundwater–surface water interactions in a prospective shale gas basin: Assessment using variance analysis and multivariate statistics on water quality data" Hydrological Processes 34:3271–3294 (https://onlinelibrary.wiley.com/doi/10.1002/hyp.13795) The data is from two sampling campaigns sampling the rivers of the Wyre and Ribble catchments in north west England. The river water samples were collected to test whether groundwater compartmentalisation observed in the underlying aquifers impacted the surface water quality. The compartmentalisation of the aquifer is important because this has been shown to control the vulnerability of water resources to pollution from facking fluids injected at depths of 1000's m.

  • Categories  

    Data from experiments on rare earth element leaching from ion adsorption deposits. Columns experiments of leaching from a Madagascar ion-adsorption soil. Six soil columns for two deposit types with different starting/operational conditions. Data reported are the volume, pH and conductivity, and the molar concentrations of each eluate fraction for the metals, ammonia and Cl. SOS - NERC Security of Supply of Mineral (SoS) Resources programme

  • Categories  

    The Fontaine Ardente (FA) and Rochasson (ROC) natural gas seepage sites are located southwest (FA) and east (ROC) of Grenoble, France. For both field sites, gas is thought to originate from buried Middle Jurassic mudstones and argillaceous limestones and thought to migrate upward along small faults. At FA, the site located along a small seepage close to the river bed of a small creek. The gas seepage site at ROC is located along the flank of a thalweg and is linked to a small landslide in clayey horizons. New methane clumped isotope data is correlated to previously published data by Gal et al (2017) and recent isotopic data aquired within SECURe deliverable 3.4. During October 2019, 5 samples were collected from the FA and ROC sites and the following analyses were conducted: - Gas composition (C1-C5, CO2, N2, H2S, Ar) and and stable isotope analyses (methane δ13C and δD, CO2 δ13C, δ15N) - Methane clumped isotope analyses (Δ13CD and ΔDD) The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531