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        <identifier>oai:figshare.com:article/31883395</identifier>
        <datestamp>2026-09-24T19:37:00Z</datestamp>
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          <dc:title>Processed data and analysis code for "Anthropogenic aerosol reductions under a future sustainability pathway could avert nearly 40% of mid-century PM2.5 mortality"</dc:title>
          <dc:creator>Joe Adabouk Amooli (20379069)</dc:creator>
          <dc:creator>Daniel M. Westervelt (11331878)</dc:creator>
          <dc:creator>Wilcox, Laura J. (12622489)</dc:creator>
          <dc:creator>Bjorn Samset (4679248)</dc:creator>
          <dc:creator>Marianne Lund (7510169)</dc:creator>
          <dc:creator>Sourangsu Chowdhury (20430877)</dc:creator>
          <dc:subject>Other environmental sciences not elsewhere classified</dc:subject>
          <dc:subject>air quality and health impacts</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains the processed data and code required to reproduce all main results presented in this study. It includes processed data and code for the PM2.5 response to anthropogenic aerosol changes shown in Figures 1–2, the PM2.5-attributable mortality response to anthropogenic aerosol reductions shown in Figures 3–4, and the PM2.5-attributable mortality response to recent East Asian aerosol reductions shown in Figure 5. The dataset also provides processed data and code for the inter-model ensemble spread, intra-ensemble member variability, and relative risk uncertainty contributions to the total uncertainty in mortality estimates shown in Figure 6.&lt;/p&gt;</dc:description>
          <dc:date>2026-03-29T17:24:58Z</dc:date>
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