Metadata 4866

UKCCSRC Call 2 Project C2-199. Datasheet providing detailed stream information pertaining to an Ionic Liquids (IL)-based CCS process. This data arises from a process model developed at Imperial College London.

This data set contains 119 unwrapped and geocoded inteferograms derived from Cosmo-SkyMed (CSK) SAR scenes aquired over the Northen Main Ethiopian Rift between June 2014 and December 2015. This data set also contains displacement time series derived from processed CSK and Sentinel-1 inteferograms at the locations specified in the accompanying README files

This data set contains a set of 20,740 unwrapped, geocoded interferograms derived from Sentinel-1 InSAR scenes processed over 63 volcanoes within the East African Rift system. A full description of the dataset is provided in the accompanying READMe file. This data set was first published in Albino, F. & Biggs, J. (2020). Magmatic processes in the east African rift system: Insights from a 2015-2020 Sentinel-1 InSAR survey, Geochemistry, Geophysics, Geosystems.

This dataset contains 204 ascending and 300 descending Sentinel-1 geocoded unwrapped interferograms and coherence, and 70 ascending and 102 descending Re-sampled Single Look Complex (RSLC) images for each acquisition date. This data set also includes the original size Digital Elevation Model (DEM) used during InSAR processing. Data used by: Moore et al, 2019, “The 2017 Eruption of Erta 'Ale Volcano, Ethiopia: Insights into the Shallow Axial Plumbing System of an Incipient Mid-Ocean Ridge”.

Processed SAR interferograms for the Wells, Nevada earthquake. Grant abstract: How do earthquakes happen? Understanding the nature of earthquakes is a key fundamental question in Geociences that holds many implications for society. Earthquakes are typically associated with a sudden release of energy that has slowly accumulated over hundreds to thousands of years, being strongly controlled by friction in faults buried several kilometers beneath our feet under quite extreme conditions. For example, the amoun...

Datasets are grouped in different levels. Two main levels exist. Raw data includes processed seismic data and ERT inversion results. Seismic mass estimation relies on amplitude differences and timeshifts. ERT inversion results have been converted from VTK. • Raw *Seismic - 2009: Two datasets for Amplitude differences and Timeshifts - 2012: Two datasets for Amplitude differences and Timeshifts *ERT - 2009: One dataset with [x,y,z,Resistivity,Volume,Active] - 2012: One dataset with [x,y,z,Resistivity,Volume,...

Observed global seismograms used to study earthquakes in the Azores. The seismograms have been processed and then have been used to perform source inversions of the events.

Publications linked to the Grant: Holwell DA, Keays RR, McDonald I and Williams MR. 2015. Extreme Enrichment of Se, Te, PGE and Au in Cu sulfide microdroplets: evidence from LA-ICP-MS analysis of sulfides in the Skaergaard Intrusion, East Greenland Contribution to Mineralogy and Petrology. doi: 10.1007/s00410-015-1203-y. 2) Smith JW, Holwell DA, McDonald I, Boyce AJ. 2016. The application of S isotopes and S/Se ratios in determining ore-forming processes of Magmatic Ni-Cu-PGE sulfide deposits: a cautionary...

UKCCSRC Call 2 Project C2-189. The data, which was produced as a result of a UK CCSRC Call 2 funded project, consists of the GC-MS characterisation results for the products collected from the rejuvenation tests of degraded amine sorbents from carbon capture and related model degradation compounds. The examined amine-based sorbent samples included one heavily degraded industrial MEA solvent, one degraded solid-supported polyethyleneimine sample and 6 model MEA degradation compounds (N-(2-Hydroxyethyl)-ethyl...

Two profiles are shown. The first is an ordinary cross section through the the 3D model. The second (along the same line) shows the amount of petroleum generated in the shales selected for this study. Further information is found in the report,GARAH WP2: 3D Pilot Study – Unconventionals, https://repository.europe-geology.eu/egdidocs/garah/garah_deliverable_report_d24_3d_petroleum_model_un.pdf