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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": "2025-09-04T15:29:31.470780",
            
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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 
            
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inundation dataset generated via the 
17
inundation dataset generated via the 
            
18
[PyGeoFlood](https://github.com/TACC/pygeoflood) framework, using 
18
[PyGeoFlood](https://github.com/TACC/pygeoflood) framework, using 
            
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low-cost sensors deployed in the Bethel, Alaska region. \r\n\r\nThis 
19
low-cost sensors deployed in the Bethel, Alaska region. \r\n\r\nThis 
            
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model simulates flood conditions under specific hydrological 
20
model simulates flood conditions under specific hydrological 
            
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scenarios, allowing emergency planners, researchers, and local 
21
scenarios, allowing emergency planners, researchers, and local 
            
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stakeholders to assess risk, prepare response strategies, and improve 
22
stakeholders to assess risk, prepare response strategies, and improve 
            
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resilience in vulnerable regions. \r\n\r\nThe dataset was generated 
23
resilience in vulnerable regions. \r\n\r\nThe dataset was generated 
            
24
via job submission through the [MINT 
24
via job submission through the [MINT 
            
25
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 
26
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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