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{
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{
            
2
  "author": "Christa Brelsford",
2
  "author": "Christa Brelsford",
            
3
  "author_email": "cbrelsford@lanl.gov",
3
  "author_email": "cbrelsford@lanl.gov",
            
4
  "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": [
5
  "groups": [
            
6
    {
6
    {
            
7
      "description": "Core infrastructure for a reusable Knowledge 
7
      "description": "Core infrastructure for a reusable Knowledge 
            
8
Management Platform. Research and develop scalable decision support 
8
Management Platform. Research and develop scalable decision support 
            
9
and deep uncertainty cybertools. How: Collaborate with research team 
9
and deep uncertainty cybertools. How: Collaborate with research team 
            
10
to design and implement services that support data and model 
10
to design and implement services that support data and model 
            
11
management and extend CI and DSS approaches that will be sustained via 
11
management and extend CI and DSS approaches that will be sustained via 
            
12
leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
12
leveraged efforts with other initiatives, like TDIS, DOLCE, MINT, etc. 
            
13
Research Focus (RF's) to develop advanced decision support tools that 
13
Research Focus (RF's) to develop advanced decision support tools that 
            
14
address: * RF1 - knowledge capture for sensed and unstructured 
14
address: * RF1 - knowledge capture for sensed and unstructured 
            
15
information,  * RF2 \u2013 develop reusable analytical methods that 
15
information,  * RF2 \u2013 develop reusable analytical methods that 
            
16
use natural language processing to computationally deconstruct problem 
16
use natural language processing to computationally deconstruct problem 
            
17
formulations and link data/models with decision problems. * RF3 \u2013 
17
formulations and link data/models with decision problems. * RF3 \u2013 
            
18
explore and design methods and utilities that support a standardized 
18
explore and design methods and utilities that support a standardized 
            
19
use of methods for decision making under deep uncertainty. 
19
use of methods for decision making under deep uncertainty. 
            
20
Implementation Science to support stakeholder community needs and act 
20
Implementation Science to support stakeholder community needs and act 
            
21
as a learning laboratory for Intelligent Systems and IFL 
21
as a learning laboratory for Intelligent Systems and IFL 
            
22
researchers\r\n\r\nPrinciple Funder: Planet Texas 2050",
22
researchers\r\n\r\nPrinciple Funder: Planet Texas 2050",
            
23
      "display_name": "Texas: Southeast Region",
23
      "display_name": "Texas: Southeast Region",
            
24
      "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",
26
oup/2025-02-21-163737.483713Screenshot-2025-02-21-at-10.37.15-AM.png",
            
27
      "name": "setx",
27
      "name": "setx",
            
28
      "title": "Texas: Southeast Region"
28
      "title": "Texas: Southeast Region"
            
29
    }
29
    }
            
30
  ],
30
  ],
            
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  "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff",
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  "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "cc-by-sa",
33
  "license_id": "cc-by-sa",
            
34
  "license_title": "Creative Commons Attribution Share-Alike",
34
  "license_title": "Creative Commons Attribution Share-Alike",
            
35
  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
35
  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
            
36
  "maintainer": "Christa Brelsford",
36
  "maintainer": "Christa Brelsford",
            
37
  "maintainer_email": "cbrelsford@lanl.gov",
37
  "maintainer_email": "cbrelsford@lanl.gov",
            
38
  "metadata_created": "2025-07-14T14:29:04.976540",
38
  "metadata_created": "2025-07-14T14:29:04.976540",
            
n
39
  "metadata_modified": "2025-07-14T14:41:32.602151",
n
39
  "metadata_modified": "2025-07-14T15:02:12.507382",
            
40
  "name": "optimized-sensor-locations-flood-risk-southeast-texas",
40
  "name": "optimized-sensor-locations-flood-risk-southeast-texas",
            
41
  "notes": "This GeoJSON dataset contains the optimized locations for 
41
  "notes": "This GeoJSON dataset contains the optimized locations for 
            
42
additional flood sensors in Southeast Texas. These locations were 
42
additional flood sensors in Southeast Texas. These locations were 
            
43
selected using a multi-objective risk framework that balances three 
43
selected using a multi-objective risk framework that balances three 
            
44
components: flood hazard, population exposure, and socio-economic 
44
components: flood hazard, population exposure, and socio-economic 
            
45
vulnerability. The optimization process ensures proportional 
45
vulnerability. The optimization process ensures proportional 
            
46
representation across these dimensions and supports more equitable and 
46
representation across these dimensions and supports more equitable and 
            
47
effective flood monitoring infrastructure.\r\n\r\nEach feature 
47
effective flood monitoring infrastructure.\r\n\r\nEach feature 
            
48
includes:\r\n\r\nRaw Hazard, Exposure, Vulnerability and risk 
48
includes:\r\n\r\nRaw Hazard, Exposure, Vulnerability and risk 
            
49
scores\r\nOptimization priority (hazard, exposure, vulnerability, or 
49
scores\r\nOptimization priority (hazard, exposure, vulnerability, or 
            
50
risk)\r\n\r\nThis dataset supports regional planning, risk mitigation, 
50
risk)\r\n\r\nThis dataset supports regional planning, risk mitigation, 
            
51
and infrastructure design decisions.",
51
and infrastructure design decisions.",
            
52
  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 11,
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  "num_tags": 11,
            
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  "organization": {
54
  "organization": {
            
55
    "approval_status": "approved",
55
    "approval_status": "approved",
            
56
    "created": "2024-12-13T20:42:01.291625",
56
    "created": "2024-12-13T20:42:01.291625",
            
57
    "description": "Southeast Texas Urban Integrated Field Lab 
57
    "description": "Southeast Texas Urban Integrated Field Lab 
            
58
(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
58
(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
            
59
the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
59
the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
            
60
communities with industrial facilities and population change 
60
communities with industrial facilities and population change 
            
61
challenges.",
61
challenges.",
            
62
    "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
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    "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
            
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    "image_url": 
63
    "image_url": 
            
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"2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg",
64
"2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg",
            
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    "is_organization": true,
65
    "is_organization": true,
            
66
    "name": "setx-uifl",
66
    "name": "setx-uifl",
            
67
    "state": "active",
67
    "state": "active",
            
68
    "title": "Southeast Texas Urban Integrated Field Lab",
68
    "title": "Southeast Texas Urban Integrated Field Lab",
            
69
    "type": "organization"
69
    "type": "organization"
            
70
  },
70
  },
            
71
  "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
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  "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2025-07-14T14:39:57.749378",
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      "created": "2025-07-14T14:39:57.749378",
            
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      "description": "",
80
      "description": "",
            
81
      "format": "GeoJSON",
81
      "format": "GeoJSON",
            
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      "hash": "",
82
      "hash": "",
            
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      "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067",
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      "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067",
            
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      "last_modified": null,
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      "last_modified": null,
            
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      "metadata_modified": "2025-07-14T14:39:57.731501",
85
      "metadata_modified": "2025-07-14T14:39:57.731501",
            
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      "mimetype": "application/json",
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      "mimetype": "application/json",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "mint_standard_variables": "",
88
      "mint_standard_variables": "",
            
89
      "name": "Water Sensor Risk Optimization",
89
      "name": "Water Sensor Risk Optimization",
            
90
      "package_id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff",
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      "package_id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "size": null,
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      "size": null,
            
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      "state": "active",
94
      "state": "active",
            
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      "url": 
95
      "url": 
            
96
acc.utexas.edu/setxuifl/flood-sensor-optimization/water_risk.geojson",
96
acc.utexas.edu/setxuifl/flood-sensor-optimization/water_risk.geojson",
            
97
      "url_type": ""
97
      "url_type": ""
            
98
    }
98
    }
            
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  ],
99
  ],
            
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  "spatial": 
100
  "spatial": 
            
101
28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}",
101
28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}",
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
103
  "tags": [
            
104
    {
104
    {
            
105
      "display_name": "Environmental Data",
105
      "display_name": "Environmental Data",
            
106
      "id": "92f526cf-6f38-438e-bee4-00d1b2485766",
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      "id": "92f526cf-6f38-438e-bee4-00d1b2485766",
            
107
      "name": "Environmental Data",
107
      "name": "Environmental Data",
            
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      "state": "active",
108
      "state": "active",
            
109
      "vocabulary_id": null
109
      "vocabulary_id": null
            
110
    },
110
    },
            
111
    {
111
    {
            
112
      "display_name": "Flood Hazard",
112
      "display_name": "Flood Hazard",
            
113
      "id": "17751723-c39f-49a4-91a7-2342486052d5",
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      "id": "17751723-c39f-49a4-91a7-2342486052d5",
            
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      "name": "Flood Hazard",
114
      "name": "Flood Hazard",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
116
      "vocabulary_id": null
            
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    },
117
    },
            
118
    {
118
    {
            
119
      "display_name": "Flood Sensors",
119
      "display_name": "Flood Sensors",
            
120
      "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b",
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      "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b",
            
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      "name": "Flood Sensors",
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      "name": "Flood Sensors",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
124
    },
            
125
    {
125
    {
            
126
      "display_name": "South East Texas",
126
      "display_name": "South East Texas",
            
127
      "id": "9e35d08d-b580-4bcf-8879-a1bc12d3b366",
127
      "id": "9e35d08d-b580-4bcf-8879-a1bc12d3b366",
            
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      "name": "South East Texas",
128
      "name": "South East Texas",
            
129
      "state": "active",
129
      "state": "active",
            
130
      "vocabulary_id": null
130
      "vocabulary_id": null
            
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    },
131
    },
            
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    {
132
    {
            
133
      "display_name": "exposure",
133
      "display_name": "exposure",
            
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      "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b",
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      "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b",
            
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      "name": "exposure",
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      "name": "exposure",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
137
      "vocabulary_id": null
            
138
    },
138
    },
            
139
    {
139
    {
            
140
      "display_name": "flood-risk",
140
      "display_name": "flood-risk",
            
141
      "id": "2ee31ba5-f726-4f77-8f25-ab6b5f2cba38",
141
      "id": "2ee31ba5-f726-4f77-8f25-ab6b5f2cba38",
            
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      "name": "flood-risk",
142
      "name": "flood-risk",
            
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      "state": "active",
143
      "state": "active",
            
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      "vocabulary_id": null
144
      "vocabulary_id": null
            
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    },
145
    },
            
146
    {
146
    {
            
147
      "display_name": "hazard analysis",
147
      "display_name": "hazard analysis",
            
148
      "id": "cfedebb5-254f-4509-8152-1ec06e02619d",
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      "id": "cfedebb5-254f-4509-8152-1ec06e02619d",
            
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      "name": "hazard analysis",
149
      "name": "hazard analysis",
            
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      "state": "active",
150
      "state": "active",
            
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      "vocabulary_id": null
151
      "vocabulary_id": null
            
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    },
152
    },
            
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    {
153
    {
            
154
      "display_name": "optimization",
154
      "display_name": "optimization",
            
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      "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d",
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      "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d",
            
156
      "name": "optimization",
156
      "name": "optimization",
            
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      "state": "active",
157
      "state": "active",
            
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      "vocabulary_id": null
158
      "vocabulary_id": null
            
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    },
159
    },
            
160
    {
160
    {
            
161
      "display_name": "socio-economic Data",
161
      "display_name": "socio-economic Data",
            
162
      "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654",
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      "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654",
            
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      "name": "socio-economic Data",
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      "name": "socio-economic Data",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
166
    },
            
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    {
167
    {
            
168
      "display_name": "urban planning",
168
      "display_name": "urban planning",
            
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      "id": "3f631ec7-955e-4783-a375-4c0432b9cb89",
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      "id": "3f631ec7-955e-4783-a375-4c0432b9cb89",
            
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      "name": "urban planning",
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      "name": "urban planning",
            
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      "state": "active",
171
      "state": "active",
            
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      "vocabulary_id": null
172
      "vocabulary_id": null
            
173
    },
173
    },
            
174
    {
174
    {
            
175
      "display_name": "vulnerability",
175
      "display_name": "vulnerability",
            
176
      "id": "83eb94cd-4543-48fa-a33e-aa1fb8797d50",
176
      "id": "83eb94cd-4543-48fa-a33e-aa1fb8797d50",
            
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      "name": "vulnerability",
177
      "name": "vulnerability",
            
178
      "state": "active",
178
      "state": "active",
            
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      "vocabulary_id": null
179
      "vocabulary_id": null
            
180
    }
180
    }
            
181
  ],
181
  ],
            
t
t
182
  "temporal_coverage_end": "2016-12-31",
            
183
  "temporal_coverage_start": "2010-01-01",
            
182
  "title": "Optimized Sensor Locations for Flood Risk Monitoring in 
184
  "title": "Optimized Sensor Locations for Flood Risk Monitoring in 
            
183
Southeast Texas Based on Risk Equity Framework",
185
Southeast Texas Based on Risk Equity Framework",
            
184
  "type": "dataset",
186
  "type": "dataset",
            
185
  "url": "",
187
  "url": "",
            
186
  "version": "1.0"
188
  "version": "1.0"
            
187
}
189
}