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{
            
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  "author": "Paul Buschow",
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  "author": "Paul Buschow",
            
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  "author_email": "",
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  "author_email": "",
            
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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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  "extras": [
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  "groups": [
            
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    {
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    {
            
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      "key": "spatial",
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      "description": "Core infrastructure for a reusable Knowledge 
            
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      "value": "{         \"type\": \"Polygon\",         
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Management Platform. Research and develop scalable decision support 
            
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\"coordinates\": 
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and deep uncertainty cybertools. How: Collaborate with research team 
            
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68693],[-93.9469689585,29.9374768693],[-93.9469689585,29.8466335518]]]      
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to design and implement services that support data and model 
            
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}"
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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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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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information,  * RF2 \u2013 develop reusable analytical methods that 
            
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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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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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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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researchers\r\n\r\nPrinciple Funder: Planet Texas 2050",
            
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      "display_name": "Texas: Southeast Region",
            
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      "id": "fc1a600d-1f56-421b-9f8a-8deca201ff03",
            
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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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      "name": "setx",
            
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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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  "groups": [],
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  "id": "b58f3513-8ee3-4c04-ad53-4d70db2ee79a",
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  "id": "b58f3513-8ee3-4c04-ad53-4d70db2ee79a",
            
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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",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": "Lincaho Luo",
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  "maintainer": "Lincaho Luo",
            
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  "maintainer_email": "",
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  "maintainer_email": "",
            
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  "metadata_created": "2025-02-10T20:48:04.906203",
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  "metadata_created": "2025-02-10T20:48:04.906203",
            
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  "metadata_modified": "2025-02-10T20:54:02.271878",
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  "metadata_modified": "2025-08-25T17:58:19.291454",
            
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  "name": "drone-collected-data-pleasure-island-golf-cours",
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  "name": "drone-collected-data-pleasure-island-golf-cours",
            
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  "notes": "The Southeast Texas Urban Integrated field lab\u2019s 
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  "notes": "The Southeast Texas Urban Integrated field lab\u2019s 
            
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Co-design team captured aerial photos in the Port Arthur Coastal 
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Co-design team captured aerial photos in the Port Arthur Coastal 
            
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Neighborhood Community and the Golf Course on Pleasure Island, Texas, 
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Neighborhood Community and the Golf Course on Pleasure Island, Texas, 
            
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in June 2024. Aerial photos taken were through autonomous flight, and 
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in June 2024. Aerial photos taken were through autonomous flight, and 
            
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models were processed through the DroneDeploy engine. All aerial 
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models were processed through the DroneDeploy engine. All aerial 
            
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photos are in .JPG format and contained in zipped files for each area. 
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photos are in .JPG format and contained in zipped files for each area. 
            
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The processed data package includes 3D models, geospatial data, 
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The processed data package includes 3D models, geospatial data, 
            
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mappings, and point clouds. Please be aware that DTM, Elevation 
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mappings, and point clouds. Please be aware that DTM, Elevation 
            
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toolbox, Point Cloud, and Orthomosaic use EPSG: 6588. And 3D Model 
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toolbox, Point Cloud, and Orthomosaic use EPSG: 6588. And 3D Model 
            
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uses EPSG: 3857.\r\n\r\nFor using these data:\r\n\r\n- The Adobe Suite 
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uses EPSG: 3857.\r\n\r\nFor using these data:\r\n\r\n- The Adobe Suite 
            
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gives you great software to open .Tif files.\r\n\r\n- You can use 
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gives you great software to open .Tif files.\r\n\r\n- You can use 
            
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LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, 
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LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, 
            
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Linux) to open a LAS file and view the data it contains.\r\n\r\n- Open 
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Linux) to open a LAS file and view the data it contains.\r\n\r\n- Open 
            
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an .OBJ file with a large number of free and commercial applications. 
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an .OBJ file with a large number of free and commercial applications. 
            
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Some examples include Microsoft 3D Builder, Apple Preview, Blender, 
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Some examples include Microsoft 3D Builder, Apple Preview, Blender, 
            
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and Autodesk.\r\n\r\n- You may use ArcGIS, Merkaartor, Blender (with 
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and Autodesk.\r\n\r\n- You may use ArcGIS, Merkaartor, Blender (with 
            
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the Google Earth Importer plug-in), Global Mapper, and Marble to open 
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the Google Earth Importer plug-in), Global Mapper, and Marble to open 
            
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.KML files.\r\n\r\n- The .tfw world file is a text file used to 
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.KML files.\r\n\r\n- The .tfw world file is a text file used to 
            
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georeference the GeoTIFF raster images, like the orthomosaic and the 
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georeference the GeoTIFF raster images, like the orthomosaic and the 
            
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DSM. You need suitable software like ArcView to open a .TFW 
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DSM. You need suitable software like ArcView to open a .TFW 
            
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file.\r\n\r\nThis dataset provides researchers with sufficient 
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file.\r\n\r\nThis dataset provides researchers with sufficient 
            
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geometric data and the status quo of the land surface at the locations 
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geometric data and the status quo of the land surface at the locations 
            
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mentioned above. This dataset will support researchers' 
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mentioned above. This dataset will support researchers' 
            
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decision-making processes under uncertainties.\r\n\r\n",
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decision-making processes under uncertainties.\r\n\r\n",
            
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  "num_resources": 4,
            
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  "num_tags": 15,
            
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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 
            
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(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
71
(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 
            
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communities with industrial facilities and population change 
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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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    "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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    "is_organization": true,
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    "is_organization": true,
            
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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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    "type": "organization"
            
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  },
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  "relationships_as_subject": [],
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/data/Images%20from%20RTK%20Drone/Pleasure%20Island%20Golf%20Course/",
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      "name": "Port Arthur Neighborhood",
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  "tags": [
            
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    {
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    {
            
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t
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  "title": "Drone-collected Data Pleasure Island Golf Cours",
t
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  "title": "Drone-collected Data Pleasure Island Golf Course",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": 
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  "url": 
            
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"https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F2447557",
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"https://data.ess-dive.lbl.gov/view/doi%3A10.15485%2F2447557",
            
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  "version": ""
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  "version": ""
            
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}
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}