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This dataset contains results from nanoindentation testing of five shale samples from the Horn River Basin (core from wells A100B/94 and D94A/94). The samples are from the following formations: A3 Fort Simpson, A6 Fort Simpson, D1 Muskwa, A16 Otter Park, and A20 Evie. The data is in two sets. Set 1 includes nanoindentation data from all samples, with grids conducted both parallel and perpendicular to the bedding plane. In Set 2, additional chemical analysis of select grids (on samples A3, A6 and A20) was undertaken using SEM/EDS. Both sets include the following tab-separated .txt files: grid_para.txt [Load-displacement-time data for each indent (parallel indentation)]; grid_para_summary.txt [Reduced elastic modulus, hardness and creep modulus for each indent (parallel indentation)]; grid_perp.txt [Load-displacement-time data for each indent (perpendicular indentation)]; grid_perp_summary.txt [Reduced elastic modulus, hardness and creep modulus data for each indent (parallel indentation)]. Set 2 also includes .tif files containing SEM images and EDS chemical analysis of the grids. The data has been filtered to remove indents which show 'pop-in' behaviour or time-displacement curves that do not conform to a logarithmic fit. ACKNOWLEDGMENT - The authors wish to thank the Natural Environment Research Council (NERC) for funding this research through the SHAPE-UK project (grant numbers NE/R018057/1, NE/R017840/1, and NE/R017565/1), which forms Challenge 3 of the UKUH (Unconventional Hydrocarbons in the UK Energy System) programme.
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These files contain data for microscopy and mineral analyses on Fe-Ni-Cu sulfide minerals in the upper mantle and lower crust of the Kohistan arc system. Samples are dunites, harzburgites and pyroxenites with variable proportions of chromite from the Kohistan collection of Prof Brian Windley, that is held at Leicester University. Data were acquired during 2017 and 2018. Folders include: reflected light microscopy images of various sulfide minerals and mineral textures in thin section; maps and backscattered electron images of areas of thin sections; and metadata (time-resolved analysis spectral data) for laser ablation ICP-MS analysis of sulfide minerals. Laser-ablation ICPMS analyses were performed using a ESI UP213 laser system coupled to a Thermo iCAPRQ ICP-MS system at the School of Earth and Environmental Sciences, Cardiff University. The data were gathered to understand the concentrations of precious and semi-metal trace elements and their likely mineral forms in the various Fe-Ni-Cu sulfide minerals. Collected under the From Arc Magma to Ore System (FAMOS) Project.
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Laser ablation ICPMS data for Fe-Ni-Cu sulfides from Ivrea, northern Italy (NERC Grant NE/P017312/1)
These files contain data for microscopy and mineral analyses on Fe-Ni-Cu sulfide minerals in the lower crust below arc systems using the example of the Ivrea Zone in Italy. Samples are lower crustal cumulates with variable concentrations of Fe-Ni-Cu sulfides collected by Dave Holwell from the Ivrea Zone. The sample details will be logged in a separate data entry and more information can be found in the open access paper by Holwell et al (2022) in Nature Geoscience, https://doi.org/10.1038/s41467-022-28275-y. Data were acquired during 2019, 2020 and 2021. Folders include: metadata (time-resolved analysis spectral data) for laser ablation ICP-MS analysis of sulfide minerals. Laser-ablation ICPMS analyses were performed using a ESI UP213 laser system coupled to a Thermo iCAPRQ ICP-MS system at the School of Earth and Environmental Sciences, Cardiff University. The data were gathered to understand the concentrations of precious and semi-metal trace elements and their likely mineral forms in the various Fe-Ni-Cu sulfide minerals. Collected under the From Arc Magma to Ore System (FAMOS) Project.
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This dataset contains data from a marine geophysical survey which took place on 1st October 2014 in the area of Ardmucknish Bay on board the RV White Ribbon. The survey was carried out by the British Geological Survey (BGS). This was a follow up survey to the previous work carried out in this area (Surveys: 2011/4 and 2012/5, 2012/7) to monitor changes in the geometry of gas charged sediments. QICS (Quantifying and monitoring potential ecosystem impacts of geological carbon storage) was a scientific research project funded by NERC; its purpose was to improve the understanding of the sensitivities of the UK marine environment to a potential leak from a carbon capture storage (CCS) system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). Webpage www.bgs.ac.uk/QICS/.
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Scanned and annotated thin sections, in plane-polarised and cross-polarised light. Derivative statistical data for mineral grainsize and spatial distribution.
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The Tonga Trench was surveyed with a Kongsberg EM 124 gondola-mounted to the hull of the 225-foot DSSV Pressure Drop. The survey was conducted over the course of two weeks – May 29 – June 6, 2019. The data meet the requirements for IHO Special Order standards.
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The Dordrecht Deep, the deepest section of the Diamantina Fracture Zone (Indian Ocean), was surveyed with a Kongsberg EM 124 gondola-mounted to the hull of the 225-foot DSSV Pressure Drop. The survey was conducted over the course of three days – March 12-15, 2019. The data meet the requirements for IHO Special Order standards.
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The Brownson Deep area of the Puerto Rico Trench was surveyed with a Kongsberg EM 124 gondola-mounted to the hull of the 225-foot DSSV Pressure Drop. The survey was conducted over the course of two days – December 18-19, 2018. The data meet the requirements for IHO Special Order standards.
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The Java Trench was surveyed with a Kongsberg EM 124 gondola-mounted to the hull of the 225-foot DSSV Pressure Drop. The survey was conducted over the course of two weeks – March 26th – April 9th, 2019. The data meet the requirements for IHO Special Order standards.
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The Mariana Trench was surveyed with a Kongsberg EM 124 gondola-mounted to the hull of the 225-foot DSSV Pressure Drop. The survey was conducted over the course of two weeks – April 19th – May 6th, 2019. The data meet the requirements for IHO Special Order standards.
NERC Data Catalogue Service