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 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
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.
This file documents the strontium isotope data, and the manner in which it has been processed, to supply the reference data for isotope domains of the Biosphere Isotope Domains GB (V1) map. It includes a summary of the analytical methods used to determine the isotope ratios though time.
Stable isotope and inorganic chemistry data for samples of groundwater from boreholes and springs in the sandur aquifer; glacial meltwater and river water; and glacier ice, from Virkisjokull glacier observatory. Selected water chemistry and stable isotope data are reported in Ó Dochartaigh, B. É., et al. 2019. Groundwater?- glacier?meltwater interaction in proglacial aquifers, Hydrol. Earth Syst. Sci. https://doi.org/10.5194/hess-2019-120
Groundwater level and groundwater temperature data measured in 9 boreholes between August 2012 and August 2018. Groundwater conductivity data measured in 1 of these boreholes from September 2012 to August 2014. Eight of the boreholes are drilled into a sandur (glacial outwash floodplain) aquifer in front of Virkisjokull glacier, SE Iceland, and are between 8.2 and 14.9 m deep. The remaining borehole is drilled into a volcanic rock aquifer between the sandur and glacier and is 5.1 m deep. Selected groundwater monitoring data are reported in Ó Dochartaigh, B. É., et al. 2019. Groundwater?- glacier?meltwater interaction in proglacial aquifers, Hydrol. Earth Syst. Sci. https://doi.org/10.5194/hess-2019-120. Further information on borehole installations and geology can be found in Ó Dochartaigh et al. 2012. Groundwater investigations at Virkisjokull, Iceland: data report 2012. British Geological Survey Open Report OR/12/088, http://nora.nerc.ac.uk/id/eprint/500570/
The use of synthetic samples for rock physics experiments in the lab is a common practice for reservoir characterization and reservoir studies. This dataset gather ultrasonic P- and S-wave velocities and attenuations, electrical resistivity, axial and radial strains, permeability and mineralogical composition, of two synthetic and two natural sandstones, measured at variable realistic reservoir conditions of stress. The data were collected during an original study which aimed to assess the extent to which the measured properties between synthetic and natural sandstones are comparable. The work was accepted for publication in Geophysical Prospecting on the 01/10/2018, which can be accessed following the link: https://doi.org/10.1111/1365-2478.12699 Falcon-Suarez, I.H., Amalokwu, K., Robert, K., North, L., Best, A.I., Delgado-Martin, J., Callow, B., Sahoo, S.K. (accepted). Comparison of stress dependent geophysical, hydraulic and mechanical properties of synthetic and natural sandstones for reservoir characterisation and monitoring studies. Geophysical Prospecting
Data for the figures in the manuscript: S. K. Sahoo, H. Marin-Moreno, L. J. North, I. Falco-Suarez,B. N. Madhusudhan, A. I. Best and T. A. Minshull (2018).Presence and consequences of co-existing methane gas with hydrate under two phase water-hydrate stability conditions , Journal of Geophysical Research: Solid Earth. https://doi.org/10.1029/2018JB015598
Monthly anomalies (August 2002 to July 2016) of total terrestrial water storage (TWS), soil moisture storage (SMS), surface water storage (SWS), snow water storage (SNS), groundwater storage (GWS) derived from an ensemble mean of 3 gridded GRACE products (CSR, JPL-Mascons and GRGS) and an ensemble mean 4 land surface models (CLM, NOAH, VIC and MOSAIC), provided by the NASAs Global Land Data Assimilation System (GLDAS). Monthly precipitation (CRU) data, derived from the Climatic Research Unit (CRU), were aggregated over each aquifer system. GRACE, GLDAS and CRU datasets are publicly available at the global scale. (NERC grant NE/M008932/1)
The dataset contains three subsets: 1) W isotope data for reference materials and geological samples, 2) Pb isotope data for reference materials and geological samples and 3) Mo isotope data for reference materials and geological samples. The data was collected over a period of about two years in two different laboratories (University of Manchester and University of Bristol) using multi-collector ICPMS techniques. A description of the methods used to obtain the W and Mo isotope data can be found in Willbold et al. (2011) and Willbold et al. (2016). The determination of the Pb isotope data is detailed in Freymuth et al. (2016). The data of reference materials (standard solutions and geological reference materials) is used to assess the reproducibility and accuracy of the mass spectrometric setup at the time and used as uncertainty estimate for the geological sample data. References: Freymuth, H., Elliott, T., van Soest, M., Skora, S., 2016. Tracing subducted black shales in the Lesser Antilles arc using molybdenum isotope ratios. Geology 44, 987-990. Willbold, M., Elliott, T., Moorbath, S., 2011. The tungsten isotopic composition of the Earth's mantle before the terminal bombardment. Nature 477, 195-198. Willbold, M., Hibbert, K., Lai, Y.-J., Freymuth, H., Hin, R.C., Coath, C., Vils, F., Elliott, T., 2016. High-Precision Mass-Dependent Molybdenum Isotope Variations in Magmatic Rocks Determined by Double-Spike MC-ICP-MS. Geostandards and Geoanalytical Research 40, 389-403.