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    "story_id": "mp-2026-07-24-005",
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    "headline": "A Coastline Map Finds Heritage in the Risk Zone",
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    "dek": "The Glo-CoH dataset locates coastal World Heritage sites so climate and conservation studies can work from one reproducible base.",
    "summary": "The Glo-CoH dataset locates coastal World Heritage sites so climate and conservation studies can work from one reproducible base.",
    "body_text": "An international team assembled Glo-CoH, a global dataset connecting UNESCO World Heritage properties to coastlines. The map includes landmarks and ecosystems ranging from Rapa Nui to parts of the Great Wall and St. Petersburg, giving researchers a common base for sea-level and biodiversity-risk assessments. Publication in Scientific Data makes the method and dataset inspectable; it is a map of exposure, not a forecast that every listed site will be damaged.",
    "why_it_matters": "The Glo-CoH dataset locates coastal World Heritage sites so climate and conservation studies can work from one reproducible base.",
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      "Publication in Scientific Data makes the method and dataset inspectable; it is a map of exposure, not a forecast that every listed site will be damaged."
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    "first_published_at": "2026-07-24T09:00:00.000-04:00",
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        "text": "The Glo-CoH dataset locates coastal World Heritage sites so climate and conservation studies can work from one reproducible base.",
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        "qualification": "Publication in Scientific Data makes the method and dataset inspectable; it is a map of exposure, not a forecast that every listed site will be damaged."
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    "tags": [
      "coasts",
      "World Heritage",
      "climate risk"
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  "sources": [
    {
      "source_id": "source-2026-07-24-005",
      "title": "University of East Anglia via EurekAlert: Glo-CoH coastal heritage dataset",
      "publisher": "University of East Anglia via EurekAlert",
      "url": "https://www.eurekalert.org/news-releases/1137131",
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  "cite_this_report": {
    "title": "A Coastline Map Finds Heritage in the Risk Zone",
    "publisher": "The Machine Press",
    "published_at": "2026-07-24T09:00:00.000-04:00",
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