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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 September 2012 to December 2012. 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 about the setup and equipment is also supplied.

  • This website provides interactive access to geospatial isotope data for Great Britain. The site includes isotope data for strontium, oxygen and sulphur distributions across Great Britain. The user can input isotope measurements from a sample and the website will compare it with British data distributions and provide a downloadable map of areas that match the composition of the unknown. The project is rooted in archaeological studies but has applications in the modern world of food traceability.

  • Scanned and annotated thin sections, in plane-polarised and cross-polarised light. Derivative statistical data for mineral grainsize and spatial distribution.

  • Thicknesses of aquifer units in the subsurface of the Indo-Gangetic foreland basin, northwestern India. Data are organised by borehole and indicate the thickness of aquifer units, separated by non-aquifer material.

  • Paired water and river sediment samples were collected from Vietnam Australia, Cambodia and Nepal. Waters were analysed for major ions, Sr isotopes and Mg isotopes. Sediments were sequentially extracted using ammonium chloride, acetic acid and hydrochloric acid to target exchangeable ions, calcite and dolomite respectively. They were analysed for major ions and selected isotopes.

  • Photos and videos collected during earthquake damage surveys of the village of Amatrice, central Italy. The earthquake struck on the 24th of August 2016 at 3:36 am local time, a Mw 6.2 earthquake struck a mountainous region of central Italy on the borders between Umbria, Marche, Lazio and Abruzzo. The Earthquake Engineering Field Investigation Team (EEFIT) mission ran from the 4th to the 15th of October 2016. The three main aspects investigated were the ground surface effects caused by the earthquake, the structural damage of masonry buildings and bridges and the effects of the earthquake on reinforced concrete structures and infrastructure.

  • This dataset is used and fully described/interpreted in the paper: Passelegue, F. X., N. Brantut, T. M. Mitchell, Fault reactivation by fluid injection: Controls from stress state and injection rate, submitted to Geophys. Res. Lett. Text files contain raw and processed data. Mechanical data are raw. Load needs to corrected (offset) from piston friction, measured at the beginning of each run before the hit point. Axial displacement is converted into sample shortening by correcting the load from machine stiffness, which is equal to 480 kN/mm (calibrated on Mon. 14 Mar. 2016). Data include a set of elastic wave first arrival times, obtained from time of flight measurements using an array of piezoelectric transducers and the cross-correlation method detailed in Brantut (2015) (see reference above). Two separate files correspond to mechanical data from experiments conducted at 50 and 100 MPa confining pressure (""mech_Pc=???MPa.txt""). One file (""sensors.txt"") contains the initial positions of each piezoelectric transducer. Files named ""wave_?_Pc=100MPa.txt"" (?=1,2,3 or 4) contain time series of arrival times during the four injections conducted at Pc=100MPa. Each column consists in the time-of-flight between a given pair of sensors (x->y, where x is the index of source sensor, and y is the index of the receiver sensor, as per their numbering in the ""sensors.txt"" file.) In all the data files, the first column corresponds to a common time basis, in seconds.

  • Data collected as part of a UK/French/US collaborative effort to record aftershocks from the 2016 Pedernales Earthquake in Ecuador. The dataset comprises continuous seismic data recorded on broadband and short period instrumentation.

  • 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

  • Data from laboratory experiments conducted as part of project NE/K011464/1 (associated with NE/K011626/1) Multiscale Impacts of Cyanobacterial Crusts on Landscape stability. Soils were collected from eastern Australia and transferred to a laboratory at Griffith University, Queensland for conduct of experiments. Soils were characterised before, during and after simulated rainfall to determine impact of rainfall on soil surface roughness and physical crusting. For two soils (#13 DL Clay_cyano; #14 DL sand_cyano) cyanobacterial crusts were grown on subsamples and these were used to compare the response of soils with, and without, cyanobacterial soil crusts to rainfall treatment. Rainfall intensity of 60 mm hr-1 was used and rainfall was applied for 2 minutes (achieving 2 mm application), 5 minutes (achieving 5 mm application), 2 minutes (achieving 2 mm application) at 24-hour intervals with soils dried at 35°C and 30% humidity between applications in a temperature/humidity-controlled room. Variables measured were soil texture, penetrometry, salinity, splash loss, infiltration, organic matter content, occurrence of ponding, three-dimensional topography. Details of rainfall simulator, growth of cyanobacteria (where soil #13 = Acbc, soil #14 = Bcbc) and all other methods can be found in Bullard et al. 2018, 2019. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2018. Impact of multi-day rainfall events onsurface roughness and physical crusting of very fine soils. Geoderma, 313, 181-192. doi: 10.1016/j.geoderma.2017.10.038. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2019. Effects of cyanobacterial soil crusts on surface roughness and splash erosion. Journal of Geophysical Research – Biogeosciences. doi: 10.1029/2018 tbc