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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Output Files from Reactive Transport Models (supplement to Solid Earth Manuscript 'se-2020-99')

Authors: Benjakul, Rungroj; Hollis, Cathy; Robertson, Hamish; Sonnenthal, Eric; Whitaker, Fiona;

Output Files from Reactive Transport Models (supplement to Solid Earth Manuscript 'se-2020-99')

Abstract

This repository includes the output files (in Tecplot format) of the numerical models in the paper entitled "Understanding controls on hydrothermal dolomitisation: insights from 3D Reactive Transport Modelling of geothermal convection". A key to the output data provided here is summarised in Data_Benjakul_et_al_2020.xlsx. We used TOUGHREACT, a numerical simulation program developed by the Lawrence Berkeley National Laboratory (LBNL) which is available at: https://tough.lbl.gov/licensing-download/toughreact-licensing-download/ to numerically model the convection of seawater in a single fault within carbonate-hosted system. The parameters used in the numerical models are given in the paper. https://doi.org/10.5194/se-11-2439-2020 The output files from TOUGHREACT (in Tecplot format) are visualised using trexplot, a python script developed by Hamish Robertson which can be found at: https://github.com/hammytheham/trexplot (last access: 5 December 2020). Please contact me via the following e-mail addresses in case you have any questions: rb17526@bristol.ac.uk or rbenjaku@gmail.com

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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