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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 
            
12
leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
            
13
Research Focus (RF's) to develop advanced decision support tools that 
            
14
address: * RF1 - knowledge capture for sensed and unstructured 
            
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information,  * RF2 \u2013 develop reusable analytical methods that 
            
16
use natural language processing to computationally deconstruct problem 
            
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formulations and link data/models with decision problems. * RF3 \u2013 
            
18
explore and design methods and utilities that support a standardized 
            
19
use of methods for decision making under deep uncertainty. 
            
20
Implementation Science to support stakeholder community needs and act 
            
21
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 
41
  "notes": "The Southeast Texas Urban Integrated field lab\u2019s 
            
26
Co-design team captured aerial photos in the Port Arthur Coastal 
42
Co-design team captured aerial photos in the Port Arthur Coastal 
            
27
Neighborhood Community and the Golf Course on Pleasure Island, Texas, 
43
Neighborhood Community and the Golf Course on Pleasure Island, Texas, 
            
28
in June 2024. Aerial photos taken were through autonomous flight, and 
44
in June 2024. Aerial photos taken were through autonomous flight, and 
            
29
models were processed through the DroneDeploy engine. All aerial 
45
models were processed through the DroneDeploy engine. All aerial 
            
30
photos are in .JPG format and contained in zipped files for each area. 
46
photos are in .JPG format and contained in zipped files for each area. 
            
31
The processed data package includes 3D models, geospatial data, 
47
The processed data package includes 3D models, geospatial data, 
            
32
mappings, and point clouds. Please be aware that DTM, Elevation 
48
mappings, and point clouds. Please be aware that DTM, Elevation 
            
33
toolbox, Point Cloud, and Orthomosaic use EPSG: 6588. And 3D Model 
49
toolbox, Point Cloud, and Orthomosaic use EPSG: 6588. And 3D Model 
            
34
uses EPSG: 3857.\r\n\r\nFor using these data:\r\n\r\n- The Adobe Suite 
50
uses EPSG: 3857.\r\n\r\nFor using these data:\r\n\r\n- The Adobe Suite 
            
35
gives you great software to open .Tif files.\r\n\r\n- You can use 
51
gives you great software to open .Tif files.\r\n\r\n- You can use 
            
36
LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, 
52
LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, 
            
37
Linux) to open a LAS file and view the data it contains.\r\n\r\n- Open 
53
Linux) to open a LAS file and view the data it contains.\r\n\r\n- Open 
            
38
an .OBJ file with a large number of free and commercial applications. 
54
an .OBJ file with a large number of free and commercial applications. 
            
39
Some examples include Microsoft 3D Builder, Apple Preview, Blender, 
55
Some examples include Microsoft 3D Builder, Apple Preview, Blender, 
            
40
and Autodesk.\r\n\r\n- You may use ArcGIS, Merkaartor, Blender (with 
56
and Autodesk.\r\n\r\n- You may use ArcGIS, Merkaartor, Blender (with 
            
41
the Google Earth Importer plug-in), Global Mapper, and Marble to open 
57
the Google Earth Importer plug-in), Global Mapper, and Marble to open 
            
42
.KML files.\r\n\r\n- The .tfw world file is a text file used to 
58
.KML files.\r\n\r\n- The .tfw world file is a text file used to 
            
43
georeference the GeoTIFF raster images, like the orthomosaic and the 
59
georeference the GeoTIFF raster images, like the orthomosaic and the 
            
44
DSM. You need suitable software like ArcView to open a .TFW 
60
DSM. You need suitable software like ArcView to open a .TFW 
            
45
file.\r\n\r\nThis dataset provides researchers with sufficient 
61
file.\r\n\r\nThis dataset provides researchers with sufficient 
            
46
geometric data and the status quo of the land surface at the locations 
62
geometric data and the status quo of the land surface at the locations 
            
47
mentioned above. This dataset will support researchers' 
63
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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  "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 
72
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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    "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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      "name": "Images from RTK Drone Pleasure Island Golf Course",
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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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}