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  "author": "Jacob E. Knight ",
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  "author": "Jacob E. Knight ",
            
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  "author_email": "jknight@usgs.gov",
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  "author_email": "jknight@usgs.gov",
            
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  "creator_user_id": "242a56a4-c3d6-465c-9fd0-ba1385b3a9d6",
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  "creator_user_id": "242a56a4-c3d6-465c-9fd0-ba1385b3a9d6",
            
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  "extras": [],
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "Core infrastructure for a reusable Knowledge 
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      "description": "Core infrastructure for a reusable Knowledge 
            
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Management Platform. Research and develop scalable decision support 
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Management Platform. Research and develop scalable decision support 
            
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and deep uncertainty cybertools. How: Collaborate with research team 
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and deep uncertainty cybertools. How: Collaborate with research team 
            
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to design and implement services that support data and model 
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to design and implement services that support data and model 
            
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management and extend CI and DSS approaches that will be sustained via 
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management and extend CI and DSS approaches that will be sustained via 
            
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leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
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leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
            
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Research Focus (RF's) to develop advanced decision support tools that 
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Research Focus (RF's) to develop advanced decision support tools that 
            
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address: * RF1 - knowledge capture for sensed and unstructured 
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address: * RF1 - knowledge capture for sensed and unstructured 
            
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information,  * RF2 \u2013 develop reusable analytical methods that 
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information,  * RF2 \u2013 develop reusable analytical methods that 
            
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use natural language processing to computationally deconstruct problem 
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use natural language processing to computationally deconstruct problem 
            
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formulations and link data/models with decision problems. * RF3 \u2013 
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formulations and link data/models with decision problems. * RF3 \u2013 
            
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explore and design methods and utilities that support a standardized 
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explore and design methods and utilities that support a standardized 
            
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use of methods for decision making under deep uncertainty. 
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use of methods for decision making under deep uncertainty. 
            
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Implementation Science to support stakeholder community needs and act 
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Implementation Science to support stakeholder community needs and act 
            
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as a learning laboratory for Intelligent Systems and IFL 
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as a learning laboratory for Intelligent Systems and IFL 
            
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researchers\r\n\r\nPrinciple Funder: Planet Texas 2050",
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researchers\r\n\r\nPrinciple Funder: Planet Texas 2050",
            
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      "display_name": "Texas: Southeast Region",
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      "display_name": "Texas: Southeast Region",
            
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      "id": "fc1a600d-1f56-421b-9f8a-8deca201ff03",
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      "id": "fc1a600d-1f56-421b-9f8a-8deca201ff03",
            
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      "image_display_url": 
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      "image_display_url": 
            
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oup/2025-02-21-163737.483713Screenshot-2025-02-21-at-10.37.15-AM.png",
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oup/2025-02-21-163737.483713Screenshot-2025-02-21-at-10.37.15-AM.png",
            
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      "name": "setx",
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      "name": "setx",
            
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      "title": "Texas: Southeast Region"
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      "title": "Texas: Southeast Region"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Texas: Statewide Subsidence Data",
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      "display_name": "Texas: Statewide Subsidence Data",
            
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      "id": "92969cee-3dfc-4a30-8b77-a551b06c5ddf",
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      "id": "92969cee-3dfc-4a30-8b77-a551b06c5ddf",
            
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      "image_display_url": 
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      "image_display_url": 
            
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texas.edu/uploads/group/2025-06-27-032017.037656SUBSIDEthumbnail.png",
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texas.edu/uploads/group/2025-06-27-032017.037656SUBSIDEthumbnail.png",
            
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      "name": "subsidence",
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      "name": "subsidence",
            
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      "title": "Texas: Statewide Subsidence Data"
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      "title": "Texas: Statewide Subsidence Data"
            
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    }
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    }
            
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  ],
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  "license_id": "",
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  "license_id": "cc-by",
            
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  "license_title": "",
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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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  "maintainer": "Suzanne Pierce",
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  "maintainer": "Suzanne Pierce",
            
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  "maintainer_email": "spierce@tacc.utexas.edu",
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  "maintainer_email": "spierce@tacc.utexas.edu",
            
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  "metadata_created": "2025-02-20T21:23:58.445246",
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  "metadata_created": "2025-02-20T21:23:58.445246",
            
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  "metadata_modified": "2025-10-02T19:29:22.138321",
            
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  "name": "gulf-coast-aquifer-subsidence-model",
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  "name": "gulf-coast-aquifer-subsidence-model",
            
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  "notes": "The groundwater model used to simulate subsidence in the 
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  "notes": "The groundwater model used to simulate subsidence in the 
            
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Gulf Region of Texas. \r\nContact Oklahoma-Texas Water Science Center 
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Gulf Region of Texas. \r\nContact Oklahoma-Texas Water Science Center 
            
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Public Information Officer, US Geological Survey for questions. 
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Public Information Officer, US Geological Survey for questions. 
            
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\r\nOriginal data published and shared: \r\nKnight, J.E, Ellis, J.H, 
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\r\nOriginal data published and shared: \r\nKnight, J.E, Ellis, J.H, 
            
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White, J.T., Sneed, M., Hughes, J.D., Ramage, J.K, Braun, C.L., 
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White, J.T., Sneed, M., Hughes, J.D., Ramage, J.K, Braun, C.L., 
            
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Teeple, A.P., Foster, L., Rendon, S.H., Brandt, J., Duncan, L.L., 
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Teeple, A.P., Foster, L., Rendon, S.H., Brandt, J., Duncan, L.L., 
            
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Traylor, J.P., and Pattison, C.H., 2023, MODFLOW 6 model and ensemble 
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Traylor, J.P., and Pattison, C.H., 2023, MODFLOW 6 model and ensemble 
            
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used in the simulation of groundwater flow and land subsidence in the 
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used in the simulation of groundwater flow and land subsidence in the 
            
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northern part of the Gulf Coast aquifer, 1897-2018 (ver. 2.0. 
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northern part of the Gulf Coast aquifer, 1897-2018 (ver. 2.0. 
            
59
September 2023): U.S. Geological Survey data release, 
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September 2023): U.S. Geological Survey data release, 
            
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https://doi.org/10.5066/P9XM8A1P.",
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https://doi.org/10.5066/P9XM8A1P.",
            
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