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Acoustic emissions (AE) and ultrasonic wave velocity data recorded during a series of high temperature thermal cracking experiments by Daoud et al., in the Rock and Ice Physics Laboratory of the University College London. The data gives the time and magnitude of AE output which were recorded contemporaneously whilst cyclically heating three rock types (A Slaufrudalur Granophyre, A Santorini Andesite and a Seljadalur Basalt). The ultrasonic wave velocity data was recorded pre- and post- heating. The data acquisition was permitted using a rock placed within an acoustic wave guide placed inside a high temperature furnace.
The data is provided as a single spreadsheet containing geochemical information from three volcanoes (Antuco, Chile; Jocotitlan, Mexico; Montserrat), all of which have been affected by major debris avalanches. The data was collected in order to investigate the long-term evolution of these volcanic systems. In addition, a single worksheet is provided of a summary database of published examples of volcanic debris avalanches. The geochemical data include bulk-rock XRF and ICP-MS data, Sr and Pb isotope measurements, and glass analyses for the Montserrat samples, along with site information for Antuco and Jocotitlan. Additional published analyses for Montserrat is availabile in published papers, as detailed in the spreadsheet.
Whole-rock geochemistry data of samples collected from Tindfjallajökull volcano, south Iceland. For further information, see Moles, J. D. (2018). Volcanic archives of past glacial environments: Tindfjallajökull volcano, Iceland. PhD thesis, The Open University. http://oro.open.ac.uk/id/eprint/62117. Geographical extent: Bounding box latitude and longitude: SW corner 63°42'N 19°46'W and NE corner 63°50'N 19°28'W.
The Investigating Geophysical Unrest at Sierra NegrA (IGUANA) experiment was designed to monitor seismic activity associated with magmatic unrest at Sierra Negra volcano, Galapagos Islands, Ecuador. In late 2017, it was apparent that Sierra Negra was likely approaching a new eruption, and that the volcanic edifice was critically stressed. The experiment captured seismic broadband data during the final approach to eruption, the eruption onset on 26 June 2018, and co-eruptive deflation.
This dataset (1.5 GB) comprises SO2 emission data (SO2 camera and DOAS) of parts of the active 2013 phase from Colima, as well as Scanning electron microscope (SEM) images and microprobe data of the collected ash from explosions and lava and dome rock. These data were used in the following paper: Cassidy, M., Cole, P.D., Hicks, K.E., Varley, N.R., Peters, N., Lerner, A. 'Rapid and slow: Varying ascent rates as a mechanism for Vulcanian explosions' Earth and Planetary Science Letters. 420: 73-84. doi:10.1016/j.epsl.2015.03.025
This data set characterises the seismicity occurring within 30 km of the Bora - Tullu-Moye volcanic field between 2016 and 2017. It also provides a description of key geologic features in this region. See the README file for a full explanation of the data set. These data were originally published as supplementary material in g-cubed article: Seismicity of the Bora – Tullu-Moye Volcanic field 2016-2017: Greenfield et al (2018), https://doi.org/10.1029/2018GC007648
This dataset contains the locations and other pertinent information for 122 well-constrained seismic events that occurred on or near Corbetti between February 2016 and September 2017. These locations were derived from data collected on 37 broadband seismometers deployed as part of the RiftVolc project. The data were originally published in Lavayssière, A., et al. "Local seismicity near the actively deforming Corbetti volcano in the Main Ethiopian Rift." Journal of Volcanology and Geothermal Research (2019). https://doi.org/10.1016/j.jvolgeores.2019.06.008
Geochemical analysis of pyroclasts from Aluto, Ethiopia. Data are referenced in Clarke et al., 2019: Fluidal pyroclasts reveal the intensity of peralkaline rhyolite pumice cone eruptions; https://doi.org/10.1038/s41467-019-09947-8.
Data output from the numerical flow modelling in GRL manuscript ""Evidence for the top-down control of lava domes on magma ascent dynamics"", by Marsden, L., Neuberg, J. & Thomas, M., all of University of Leeds. The models were created using the Laminar Flow module in COMSOL Multiphysics v5.4 by L. Marsden. The following files are uploaded: Archive_Reference_Model.txt (Reference flow model: Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1 ) Archive_High_H2O.txt (Gas loss function, Initial H2O content = 10 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_No_Gas_Loss.txt (No gas loss, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_Gamma_Low.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 1e-6 s^-1) Archive_Excess_Pressure_0MPa.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 0 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_Excess_Pressure_20MPa.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 20 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) The files uploaded include the reference flow model and where a single key parameter has been changed in the flow modelling. We include data where the key parameter is at the upper or lower limit of the values tested. Data are not included where magma ascent is modelled to stall without the extrusion of a lava dome, as a time dependent model is not run in this case. A solution is provided using equilibrium modelling only. The following variables are output, at conduit centre unless specified: Depth (m), Time(s), Ascent velocity (m/s), Bulk Viscosity (Pa s), Crystal Content, Dome height (m), Gas Volume Fraction, Overpressure (Pa), Shear Stress at Conduit Wall (Pa)
Seismic waveforms from an explosion catalogue from a seismic network at Santiaguito volcano between November 2014 and December 2018. A network of 6 broadband and 6 short-period stations was used to record explosive volcanic activity. Waveforms from 18,895 explosions have been automatically been detected and extracted.