Modifications

              
    

          
          
        
        

            
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  "author": "William Mobley",
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  "author": "William Mobley",
            
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  "author_email": "wmobley@tacc.utexas.edu",
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  "author_email": "wmobley@tacc.utexas.edu",
            
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  "id": "dcd39505-bafa-4b32-bd85-bcf265a8ee38",
            
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  "isopen": true,
            
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  "license_id": "cc-by",
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": "William Mobley",
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  "maintainer": "William Mobley",
            
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  "maintainer_email": "wmobley@tacc.utexas.edu",
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  "maintainer_email": "wmobley@tacc.utexas.edu",
            
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  "metadata_created": "2025-07-21T16:35:34.598140",
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  "metadata_created": "2025-07-21T16:35:34.598140",
            
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  "metadata_modified": "2025-09-02T19:07:19.536529",
            
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  "name": "bethel-flood-model",
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  "name": "bethel-flood-model",
            
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  "notes": "The **Bethel Flood Model** is a high-resolution flood 
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  "notes": "The **Bethel Flood Model** is a high-resolution flood 
            
17
inundation dataset generated via the 
17
inundation dataset generated via the 
            
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[PyGeoFlood](https://github.com/TACC/pygeoflood) framework, using 
18
[PyGeoFlood](https://github.com/TACC/pygeoflood) framework, using 
            
19
low-cost sensors deployed in the Bethel, Alaska region. \r\n\r\nThis 
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low-cost sensors deployed in the Bethel, Alaska region. \r\n\r\nThis 
            
20
model simulates flood conditions under specific hydrological 
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model simulates flood conditions under specific hydrological 
            
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scenarios, allowing emergency planners, researchers, and local 
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scenarios, allowing emergency planners, researchers, and local 
            
22
stakeholders to assess risk, prepare response strategies, and improve 
22
stakeholders to assess risk, prepare response strategies, and improve 
            
23
resilience in vulnerable regions. \r\n\r\nThe dataset was generated 
23
resilience in vulnerable regions. \r\n\r\nThe dataset was generated 
            
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via job submission through the [MINT 
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via job submission through the [MINT 
            
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platform](https://mint.tacc.utexas.edu/), a workflow system for 
25
platform](https://mint.tacc.utexas.edu/), a workflow system for 
            
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integrated modeling, and represents a synthesis of community-based 
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integrated modeling, and represents a synthesis of community-based 
            
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data collection and cloud-based modeling. ",
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data collection and cloud-based modeling. ",
            
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