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        <datestamp>2026-10-02T13:26:16Z</datestamp>
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          <dc:title>Supplementary file 1_CEA SiteScout: application of a data-driven screening tool for controlled environment agriculture site selection and resource estimation in U.S. communities.docx</dc:title>
          <dc:creator>Arian Aghajanzadeh (25302435)</dc:creator>
          <dc:creator>Tyler Tarr Huntington (25302438)</dc:creator>
          <dc:creator>Abigayle Rose Hodson (25302441)</dc:creator>
          <dc:creator>Robinson Negron-Juarez (5690639)</dc:creator>
          <dc:creator>Jennifer Stokes-Draut (5720207)</dc:creator>
          <dc:subject>Food Packaging, Preservation and Safety</dc:subject>
          <dc:subject>climate-smart food systems</dc:subject>
          <dc:subject>Controlled Environment Agriculture (CEA)</dc:subject>
          <dc:subject>energy-water-carbon modeling</dc:subject>
          <dc:subject>geospatial decision-support tool</dc:subject>
          <dc:subject>site selection</dc:subject>
          <dc:description>&lt;p&gt;Controlled Environment Agriculture (CEA) is expanding rapidly, but selecting suitable sites for new facilities remains a complex challenge due to the interplay of climate, infrastructure, logistics, economic, policy, and other factors. We present CEA SiteScout, an interactive decision-support tool that integrates multiple public datasets to generate site-specific overviews and energy analyses for screening purposes, providing the critical foundation for data-driven CEA site evaluation in the US. By aggregating national and, for selected spotlight communities, regional environmental, social, and economic datasets into one intuitive platform, CEA SiteScout helps users visualize nearby resources and constraints relevant to site selection. Underpinned by a simplified, validated energy-water model (Hodson et al., 2026), this tool also provides order-of-magnitude estimates of resource consumption for a variety of representative CEA configurations. We demonstrate the application of CEA SiteScout in five spotlight U.S. communities: York County, Pennsylvania; Riverside, California; Augusta and surrounding rural areas, Georgia; Kaua'i, Hawai'i; and the Western Lake Erie Region, Ohio and Michigan. Results from these communities illustrate how diverse regional contexts influence the suitability of different technologies, resource demands, and policy opportunities. This work highlights how integrated screening tools can reduce early-stage risk for growers, investors, and policymakers, filling a gap in current siting analyses, which often lack comprehensive, accessible, and stakeholder-informed approaches.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-02T13:26:16Z</dc:date>
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          <dc:identifier>10.3389/fsufs.2026.1891079.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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