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The data include: 1. Excell spreadsheets from Sites U1517-C; U1518-f; U1519-C. Each spreadsheet contains detailed mineralogical information aquired with QEMSCAN®. 2. QEMSCAN-50 and QEMSCAN-4 images of the analysed samples. 3. Images (png files) of the sediment cores acquired during the IODP Expeditions. 4. A report on the characterisation of gas hydrate bearing sediments at site U1517, by integrating QEMSCAN, core, LWD, and seismic observations.
Initiation files for 2D numerical models for Fluidity code. The models simulate subduction of an oceanic plate under various conditions described in Suchoy et al., 2020. The models use temperature, pressure and strain-rate dependent composite rheology, which generates different regions without prescribing material fields. The models are similar in nature to other geodynamic models (e.g. Billen and Arredondo, 2018) and can be used for further investigation of subduction dynamics, and to reproduce the results presented in Suchoy et al., 2020. For further enquiries regarding these models please contact Lior Suchoy (Imperial College London), Saskia Goes (Imperial College London) or Rhodri Davies (Australia National University).
The data are from a suite of friction experiments performed on simulated gouges from the Nankai Trough (Japan). The simulated gouges were prepared by crushing cuttings of Nankai accretionary sediments collected during Integrated Ocean Drilling Program (IODP) Expedition 358. The cuttings were crushed to produce a powder (i.e. simulated gouge) with a grain size of >125 microns. These simulated gouges were sheared under a range of effective normal stress (10-75 Mpa) and pore-fluid pressure (5-75 Mpa) conditions while the sliding velocity was stepped between 0.3 and 3 microns/s to calculated the rate-and-state friction parameter (a-b). The Nankai gouge are strongly rate-strengthening and become more rate-strengthening (i.e. more frictionally stable) at elevated pore-fluid pressure. In contrast, varying the effective normal stress has minimal effect on the frictional stability of the gouges.
Interpretations of fault positions, geometries and displacements, and seismic stratigraphic horizons. These are provided in the form of Seismic fault and horizon data as ‘Charisma fault sticks’ and ‘Charisma 2D interpretation lines’ ASCII files, respectively, exported from Petrel 2019. Additional CSV and XLSX files containing the compiled coordinate data are included. A readme file is also included explaining the contents of the different files and folders. Interpretations are from seismic profiles of the input oceanic plate section to the North Sumatra subduction zone. Results are published in: Stevens, D.E., McNeill, L.C., Henstock, T.J., Delescluse, M., Chamot-Rooke, N., Bull, J.M., 2020, Intraplate deformation offshore North Sumatra: New Insights from integration of IODP Expedition 362 results with seismic data. EPSL, 538, 116218.
This dataset contains major, trace, and volatile element contents, and sulfur isotope ratio data measured in silicate glasses found in volcanic rocks from the Central American Volcanic Arc. The files have been first published as supplementary data in: Taracsák et al. (2023): Sulfur from the subducted slab dominates the sulfur budget of the mantle wedge under volcanic arcs, Earth and Planetary Science Letters, 601:117948 The data is also accessable via the following DOI: https://doi.org/10.1016/j.epsl.2022.117948
Complete major and trace element analyses of all samples investigated under project component chalcophile element processing beneath arc volcanic systems, within NE/M000427/1 (see Cox et al., EPSL, 2019 https://doi.org/10.1016/j.epsl.2019.06.017 and Cox et al., Geology, 2020 https://doi.org/10.1130/G47562.1). Samples include an extensive dataset from Antuco volcano, Chile, and further analyses of young volcanic rocks from multiple Chilean stratovolcanoes and monogenetic centres. Standard data are also provided.
The thermal state of marine sediments controls a range of potential dehydration reactions as sediments are subducted. In thick sediment sections it is possible that reactions that would normally occur within a subduction zone start offshore of the deformation front. This scenario may be occurring at the Sumatra subduction zone (e.g. Geersen et al., 2013; Huepers et al., 2017). We have investigated this possibility by modelling the thermal and depth history of sediments offshore Sumatra. We have used a range of different assumptions about how the sediments decompact with depth, as well as testing the dependence on the seismic velocities used for depth conversion of the horizons.
These data contain the shear modulus and attenuation of Vermont antigorite serpentinite in the seismic "low" frequency range, as functions of oscillation period (ranging from 1 to 1000s) and temperature during staged cooling from 550 degrees C down to room temperature, at a confining pressure of 200 MPa. This dataset is used and fully described/interpreted in the paper: David, E.C., N. Brantut, L.N. Hansen and I. Jackson, Low-frequency measurements of seismic velocity and attenuation in antigorite serpentinite, submitted to Geophys. Res. Lett.
Excel file containing abundance data of planktonic foraminifer from IODP Expedition 375 Hole 1520C (41R-44R)
Data from the IODP Expedition will be archived by the International Ocean Discovery Program, including all data generated during the shipboard palaeomagnetic and magnetic anisotropy analyses and all of the logging data (FMS tool, GBM data), plus associated explanatory notes. Shore based palaeomagnetic and magnetic anisotropy data, FMS---based reorientation parameters, and downhole magnetizations inferred from modelling of the GBM borehole magnetometer data will be made available to the international community via appropriate IODP Data Reports (in addition to primary journal articles). Data Includes: Shipboard cryogenic magnetometer data Shipboard and shore based discrete sample remanence data Shipboard and shore based magnetic anisotropy data FMS---based reorientation parameters Magnetic parameters modelled using borehole magnetometer data