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{
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{
            
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  "author": "Mark Wang",
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  "author": "Mark Wang",
            
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  "author_email": "mark.wang@utexas.edu",
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  "author_email": "mark.wang@utexas.edu",
            
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  "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc",
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  "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc",
            
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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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  "id": "31efa51f-991d-498f-b9c3-bc27503ea47a",
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  "id": "31efa51f-991d-498f-b9c3-bc27503ea47a",
            
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  "isopen": true,
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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",
35
  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": "Mark Wang",
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  "maintainer": "Mark Wang",
            
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  "maintainer_email": "mark.wang@utexas.edu",
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  "maintainer_email": "mark.wang@utexas.edu",
            
38
  "metadata_created": "2025-02-10T21:21:53.987335",
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  "metadata_created": "2025-02-10T21:21:53.987335",
            
n
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  "metadata_modified": "2025-08-19T17:30:47.987316",
n
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  "metadata_modified": "2025-08-20T20:35:39.970776",
            
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  "name": "height-above-nearest-drainage-setx",
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  "name": "height-above-nearest-drainage-setx",
            
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  "notes": "This dataset contains high-resolution flood inundation 
41
  "notes": "This dataset contains high-resolution flood inundation 
            
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maps of past storm events to support planners and the impacted 
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maps of past storm events to support planners and the impacted 
            
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community. These maps are generated with approximate GIS-based methods 
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community. These maps are generated with approximate GIS-based methods 
            
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and should not be considered definitive. This project was originally 
44
and should not be considered definitive. This project was originally 
            
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shared on https://www.designsafe-ci.org/.\r\n\r\nThe contents of this 
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shared on https://www.designsafe-ci.org/.\r\n\r\nThe contents of this 
            
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data package include three (3) 3x3-meter resolution GeoTIFF rasters of 
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data package include three (3) 3x3-meter resolution GeoTIFF rasters of 
            
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riverine flood inundation for three storm events in Southeast Texas: 
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riverine flood inundation for three storm events in Southeast Texas: 
            
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Ike, Harvey, and Imelda. Rasters are saved in BigTIFF format and range 
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Ike, Harvey, and Imelda. Rasters are saved in BigTIFF format and range 
            
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from 3-9 GB in size.\r\n\r\n**Details on riverine flood inundation 
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from 3-9 GB in size.\r\n\r\n**Details on riverine flood inundation 
            
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mapping method:**\r\n\r\nAssociated GitHub repo: 
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mapping method:**\r\n\r\nAssociated GitHub repo: 
            
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https://github.com/markwang0/HAND_SETX/ This project contains three 
51
https://github.com/markwang0/HAND_SETX/ This project contains three 
            
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3x3-meter resolution GeoTIFFs of riverine flood inundation for 
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3x3-meter resolution GeoTIFFs of riverine flood inundation for 
            
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Hurricane Ike, Hurricane Harvey and Tropical Storm Imelda. Riverine 
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Hurricane Ike, Hurricane Harvey and Tropical Storm Imelda. Riverine 
            
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(fluvial) flood inundation was generated with the Height Above Nearest 
54
(fluvial) flood inundation was generated with the Height Above Nearest 
            
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Drainage (HAND) method and flowrates from the National Water Model 
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Drainage (HAND) method and flowrates from the National Water Model 
            
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(NWM). Maximum flowrates from the NWM during each storm event were 
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(NWM). Maximum flowrates from the NWM during each storm event were 
            
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converted to flood stage with synthetic rating curves, and the flood 
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converted to flood stage with synthetic rating curves, and the flood 
            
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stage was converted to spatial inundation. The rasters cover the 
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stage was converted to spatial inundation. The rasters cover the 
            
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Southeast Texas Counties of Newton, Jasper, Hardin, Orange and 
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Southeast Texas Counties of Newton, Jasper, Hardin, Orange and 
            
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Jefferson. Units are meters of inundation above surface elevation. The 
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Jefferson. Units are meters of inundation above surface elevation. The 
            
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spatial reference is EPSG:5070. Please note that only riverine 
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spatial reference is EPSG:5070. Please note that only riverine 
            
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(fluvial) flooding is shown on each raster. Pluvial flooding and storm 
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(fluvial) flooding is shown on each raster. Pluvial flooding and storm 
            
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surge are neglected.\r\n\r\nLiu, Yan, David Maidment, Andy Carter, 
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surge are neglected.\r\n\r\nLiu, Yan, David Maidment, Andy Carter, 
            
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Paola Passalacqua, and Tim Whiteaker. \"Height Above Nearest Drainage 
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Paola Passalacqua, and Tim Whiteaker. \"Height Above Nearest Drainage 
            
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(HAND) at Three-Meter Resolution for the State of Texas.\" United 
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(HAND) at Three-Meter Resolution for the State of Texas.\" United 
            
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States: N. p., 2023. Web. 
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States: N. p., 2023. Web. 
            
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10.13139/ORNLNCCS/2204010](https://doi.org/10.13139/ORNLNCCS/2204010). 
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10.13139/ORNLNCCS/2204010](https://doi.org/10.13139/ORNLNCCS/2204010). 
            
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https://cfim.ornl.gov/data/\r\n\r\nZheng, X., Maidment, D. R., 
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https://cfim.ornl.gov/data/\r\n\r\nZheng, X., Maidment, D. R., 
            
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Tarboton, D. G., Liu, Y. Y., and Passalacqua, P. (2018). GeoFlood: 
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Tarboton, D. G., Liu, Y. Y., and Passalacqua, P. (2018). GeoFlood: 
            
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Large-scale flood inundation mapping based on high-resolution terrain 
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Large-scale flood inundation mapping based on high-resolution terrain 
            
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analysis. Water Resources Research, 54:10,013\u201310,033. 
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analysis. Water Resources Research, 54:10,013\u201310,033. 
            
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https://doi.org/10.1029/2018WR023457\r\n",
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https://doi.org/10.1029/2018WR023457\r\n",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-12-13T20:42:01.291625",
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    "created": "2024-12-13T20:42:01.291625",
            
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    "description": "Southeast Texas Urban Integrated Field Lab 
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    "description": "Southeast Texas Urban Integrated Field Lab 
            
79
(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
79
(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
            
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the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
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the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
            
81
communities with industrial facilities and population change 
81
communities with industrial facilities and population change 
            
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challenges.",
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challenges.",
            
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    "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
            
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    "image_url": 
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    "image_url": 
            
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"2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg",
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"2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg",
            
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    "name": "setx-uifl",
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    "name": "setx-uifl",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Southeast Texas Urban Integrated Field Lab",
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    "title": "Southeast Texas Urban Integrated Field Lab",
            
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    "type": "organization"
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