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                <identifier>oai:data.mendeley.com/ms5zfgzvvf.1</identifier>
                <datestamp>2026-08-14T06:21:39Z</datestamp>
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    <dc:creator>Guo, Yingying</dc:creator>
    <dc:title>PHREEQC-based fitting of the apparent solubility constant for HgS nanoparticles</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains the input data, PHREEQC template, Python script, and output files used to estimate the apparent solubility constant of mercury sulfide nanoparticles in a Hg(II)-sulfide system. The Python script calls a local PHREEQC executable, generates sample-specific PHREEQC input files from the template, compares modeled and observed dissolved Hg concentrations, and optimizes the apparent log_k value for the reaction HgS_nano + H+ = Hg+2 + HS-. The dataset also includes modeled Hg speciation outputs and residuals for model-observation comparison.</dc:description>
    <dc:subject>Environmental Science</dc:subject>
    <dc:subject>Environmental Chemistry</dc:subject>
    <dc:contributor id="https://orcid.org/0009-0002-4085-4660">Fan, Weihua</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/ms5zfgzvvf.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/ms5zfgzvvf.1</dc:identifier>
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    <dc:date>2026-08-14T06:21:39Z</dc:date>
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