DOI: 10.25903/nffy-zv25
title: Data: Carbon dioxide removal via weathering of sugarcane mill ash and basalt under different soil conditions

description: <p><strong>Background: </strong>Sugarcane mill ash has been suggested as having high potential for carbon dioxide removal (CDR) via enhanced weathering (EW), but this had not been quantitatively assessed. The aims of this study were to 1) assess the CDR potential of various sugarcane mill ashes via EW, and 2) investigate the impact of soil conditions and mill ash properties on the CDR. This was done by characterising physical and chemical properties of five mill ashes from Australia and simulating CDR via EW using a one-dimensional reactive transport model</p>
<p><strong>This data record contains:</strong></p>
<p>This data includes measurements of the physical and chemical properties of mill ash samples including particle size distribution and morphology, surface elemental composition, total elemental composition, and mineralogy. This data was used to parameterise a modified version of the 1-D reactive transport model (RTM) developed by Kelland et al. (2020) in the geochemical modelling software PHREEQC. Therefore the data also includes R files and PDFs of calculations used to determine model parameters from the measurements of the mill ashes, input files for PHREEQC models in plain text and Microsoft Word format, database files in plain text format, and output files from PHREEQC in CSV and PQO formats. The output CSV files were then analysed to calculate carbon dioxide removal so the data includes those R scripts and derived PDF, CSV, and JPG files of final results. </p>
<p>Data is grouped into the following:</p>
<ul>
<li>RCO2 Calculations data &ndash; includes inputs (.csv), outputs (.csv), and scripts (.rmd and .pdf) used to calculate RCO2 for the five mill ashes measured in the study (referred to as &lsquo;ICP XRF Results&rsquo; or &lsquo;2022 samples&rsquo;) as well as from measurements of mill ash, ash/mud, and mud published in the literature (referred to as &lsquo;published&rsquo; or &lsquo;literature review&rsquo;)</li>
<li>Chemical Analysis data &ndash; includes results of chemical analyses of the five mill ashes conducted in the study including raw data (referred to as &lsquo;AAC results&rsquo; where appropriate) and scripts (.rmd) used to generate final figures for the following:</li>
<ul>
<li>C and N contents (.xlsx)</li>
<li>ICP-AES elemental analysis and LOI (.xlsx)</li>
<li>SEM-EDS images and point elemental estimates (.tif, .txt., .docx, .png)</li>
<li>BET (.pdf), laser particle size (.csv), and geometric surface area measurements and calculations (.rmd, .pdf, .jpg)</li>
<li>TGA measurements (.csv) and calculations (.rmd, .pdf, .jpg)</li>
<li>XRF elemental analysis (.csv)</li>
</ul>
<li>Reactive Transport Modelling data &ndash; includes databases provided with PHREEQC and that used in this study (.dat), PHREEQC model inputs (.txt, .docx) and outputs (.pqo, .txt) for every scenario modelled in the main (referred to as &lsquo;average&rsquo; or &lsquo;AV&rsquo;) and sensitivity (referred to as &lsquo;sensitivity&rsquo; or &lsquo;SA&rsquo;) analyses, and scripts (.rmd, .pdf) to calculate final results (.csv, .jpg) and initial model parameters based on the chemical analysis of the five mill ashes</li>
</ul>
<p>--//--</p>
<p>Software/equipment used to create/collect the data:</p>
<p>BET: Quantachrome ASiQwin - Automated Gas Sorption Data Acquisition and Reduction version 5.21<br />ICP-AES: Varian Liberty Series II<br />SEM-EDS: Jeol JXA8200 &ldquo;Superprobe&rdquo; with EDS and backscatter electron imaging (BEI)<br />TGA: TA STD650 Discovery Series- TGA-DSC (192.168.1.110), TA Instruments Trios v4.2.1.36612<br />XRD: Siemens D5000 Diffractometer (XRD) theta-2 theta goniometer with a copper anode x-ray tube<br />PHREEQC version 3.7.3 for Linux (https://www.usgs.gov/software/phreeqc-version-3) installed on the JCU High Performance Computer<br />Microsoft Word from Microsoft 365<br />Notepad++ version 8.1.9.2</p>
<p>Software/equipment used to manipulate/analyse the data:</p>
<p>R version 4.3.1 for Windows 10<br />R Studio version 2023.06.1 Build 524 for Windows 10<br />Microsoft Excel from Microsoft 365</p>