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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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  "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 
9
Management Platform. Research and develop scalable decision support 
            
10
and deep uncertainty cybertools. How: Collaborate with research team 
10
and deep uncertainty cybertools. How: Collaborate with research team 
            
11
to design and implement services that support data and model 
11
to design and implement services that support data and model 
            
12
management and extend CI and DSS approaches that will be sustained via 
12
management and extend CI and DSS approaches that will be sustained via 
            
13
leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
13
leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
            
14
Research Focus (RF's) to develop advanced decision support tools that 
14
Research Focus (RF's) to develop advanced decision support tools that 
            
15
address: * RF1 - knowledge capture for sensed and unstructured 
15
address: * RF1 - knowledge capture for sensed and unstructured 
            
16
information,  * RF2 \u2013 develop reusable analytical methods that 
16
information,  * RF2 \u2013 develop reusable analytical methods that 
            
17
use natural language processing to computationally deconstruct problem 
17
use natural language processing to computationally deconstruct problem 
            
18
formulations and link data/models with decision problems. * RF3 \u2013 
18
formulations and link data/models with decision problems. * RF3 \u2013 
            
19
explore and design methods and utilities that support a standardized 
19
explore and design methods and utilities that support a standardized 
            
20
use of methods for decision making under deep uncertainty. 
20
use of methods for decision making under deep uncertainty. 
            
21
Implementation Science to support stakeholder community needs and act 
21
Implementation Science to support stakeholder community needs and act 
            
22
as a learning laboratory for Intelligent Systems and IFL 
22
as a learning laboratory for Intelligent Systems and IFL 
            
23
researchers\r\n\r\nPrinciple Funder: Planet Texas 2050",
23
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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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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      "description": "",
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      "description": "",
            
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      "display_name": "Texas: Statewide Subsidence",
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      "display_name": "Texas: Statewide Subsidence",
            
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      "name": "subsidence",
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      "name": "subsidence",
            
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      "title": "Texas: Statewide Subsidence"
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      "title": "Texas: Statewide Subsidence"
            
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    }
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  ],
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  "license_id": "",
            
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  "license_title": "",
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  "license_title": "",
            
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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": "2025-02-27T23:18:12.340484",
            
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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 
50
  "notes": "The groundwater model used to simulate subsidence in the 
            
51
Gulf Region of Texas. \r\nContact Oklahoma-Texas Water Science Center 
51
Gulf Region of Texas. \r\nContact Oklahoma-Texas Water Science Center 
            
52
Public Information Officer, US Geological Survey for questions. 
52
Public Information Officer, US Geological Survey for questions. 
            
53
\r\nOriginal data published and shared: \r\nKnight, J.E, Ellis, J.H, 
53
\r\nOriginal data published and shared: \r\nKnight, J.E, Ellis, J.H, 
            
54
White, J.T., Sneed, M., Hughes, J.D., Ramage, J.K, Braun, C.L., 
54
White, J.T., Sneed, M., Hughes, J.D., Ramage, J.K, Braun, C.L., 
            
55
Teeple, A.P., Foster, L., Rendon, S.H., Brandt, J., Duncan, L.L., 
55
Teeple, A.P., Foster, L., Rendon, S.H., Brandt, J., Duncan, L.L., 
            
56
Traylor, J.P., and Pattison, C.H., 2023, MODFLOW 6 model and ensemble 
56
Traylor, J.P., and Pattison, C.H., 2023, MODFLOW 6 model and ensemble 
            
57
used in the simulation of groundwater flow and land subsidence in the 
57
used in the simulation of groundwater flow and land subsidence in the 
            
58
northern part of the Gulf Coast aquifer, 1897-2018 (ver. 2.0. 
58
northern part of the Gulf Coast aquifer, 1897-2018 (ver. 2.0. 
            
59
September 2023): U.S. Geological Survey data release, 
59
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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