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f | 1 | { | f | 1 | { |
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", | 4 | "creator_user_id": "b79b2b0a-dff8-4e9d-8cc6-abce9662ecfc", | ||
5 | "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", | 24 | "id": "fc1a600d-1f56-421b-9f8a-8deca201ff03", | ||
25 | "image_display_url": | 25 | "image_display_url": | ||
26 | 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 | ], | ||
31 | "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | 31 | "id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | ||
32 | "isopen": true, | 32 | "isopen": true, | ||
33 | "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, | 52 | "num_resources": 1, | ||
53 | "num_tags": 11, | 53 | "num_tags": 11, | ||
54 | "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", | 62 | "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
63 | "image_url": | 63 | "image_url": | ||
64 | "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", | ||
65 | "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", | 71 | "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", | ||
72 | "private": false, | 72 | "private": false, | ||
73 | "relationships_as_object": [], | 73 | "relationships_as_object": [], | ||
74 | "relationships_as_subject": [], | 74 | "relationships_as_subject": [], | ||
75 | "resources": [ | 75 | "resources": [ | ||
76 | { | 76 | { | ||
77 | "cache_last_updated": null, | 77 | "cache_last_updated": null, | ||
78 | "cache_url": null, | 78 | "cache_url": null, | ||
79 | "created": "2025-07-14T14:39:57.749378", | 79 | "created": "2025-07-14T14:39:57.749378", | ||
80 | "description": "", | 80 | "description": "", | ||
81 | "format": "GeoJSON", | 81 | "format": "GeoJSON", | ||
82 | "hash": "", | 82 | "hash": "", | ||
83 | "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067", | 83 | "id": "0972fb94-3f3d-46a3-9b8b-246fbf7b8067", | ||
84 | "last_modified": null, | 84 | "last_modified": null, | ||
85 | "metadata_modified": "2025-07-14T14:39:57.731501", | 85 | "metadata_modified": "2025-07-14T14:39:57.731501", | ||
86 | "mimetype": "application/json", | 86 | "mimetype": "application/json", | ||
87 | "mimetype_inner": null, | 87 | "mimetype_inner": null, | ||
88 | "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", | 90 | "package_id": "9ad744ba-e259-47ce-a139-5bdff28bd4ff", | ||
91 | "position": 0, | 91 | "position": 0, | ||
92 | "resource_type": null, | 92 | "resource_type": null, | ||
93 | "size": null, | 93 | "size": null, | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "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 | } | ||
99 | ], | 99 | ], | ||
100 | "spatial": | 100 | "spatial": | ||
101 | 28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}", | 101 | 28126,29.632524853811297],[-94.48516845703126,29.632524853811297]]]}", | ||
102 | "state": "active", | 102 | "state": "active", | ||
103 | "tags": [ | 103 | "tags": [ | ||
104 | { | 104 | { | ||
105 | "display_name": "Environmental Data", | 105 | "display_name": "Environmental Data", | ||
106 | "id": "92f526cf-6f38-438e-bee4-00d1b2485766", | 106 | "id": "92f526cf-6f38-438e-bee4-00d1b2485766", | ||
107 | "name": "Environmental Data", | 107 | "name": "Environmental Data", | ||
108 | "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", | 113 | "id": "17751723-c39f-49a4-91a7-2342486052d5", | ||
114 | "name": "Flood Hazard", | 114 | "name": "Flood Hazard", | ||
115 | "state": "active", | 115 | "state": "active", | ||
116 | "vocabulary_id": null | 116 | "vocabulary_id": null | ||
117 | }, | 117 | }, | ||
118 | { | 118 | { | ||
119 | "display_name": "Flood Sensors", | 119 | "display_name": "Flood Sensors", | ||
120 | "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b", | 120 | "id": "5c28f469-482a-4fe9-98c5-d2fc65f6e96b", | ||
121 | "name": "Flood Sensors", | 121 | "name": "Flood Sensors", | ||
122 | "state": "active", | 122 | "state": "active", | ||
123 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
124 | }, | 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", | ||
128 | "name": "South East Texas", | 128 | "name": "South East Texas", | ||
129 | "state": "active", | 129 | "state": "active", | ||
130 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
131 | }, | 131 | }, | ||
132 | { | 132 | { | ||
133 | "display_name": "exposure", | 133 | "display_name": "exposure", | ||
134 | "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b", | 134 | "id": "7f31eb8f-3e86-4f01-b5c9-456e8ff4347b", | ||
135 | "name": "exposure", | 135 | "name": "exposure", | ||
136 | "state": "active", | 136 | "state": "active", | ||
137 | "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", | ||
142 | "name": "flood-risk", | 142 | "name": "flood-risk", | ||
143 | "state": "active", | 143 | "state": "active", | ||
144 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
145 | }, | 145 | }, | ||
146 | { | 146 | { | ||
147 | "display_name": "hazard analysis", | 147 | "display_name": "hazard analysis", | ||
148 | "id": "cfedebb5-254f-4509-8152-1ec06e02619d", | 148 | "id": "cfedebb5-254f-4509-8152-1ec06e02619d", | ||
149 | "name": "hazard analysis", | 149 | "name": "hazard analysis", | ||
150 | "state": "active", | 150 | "state": "active", | ||
151 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
152 | }, | 152 | }, | ||
153 | { | 153 | { | ||
154 | "display_name": "optimization", | 154 | "display_name": "optimization", | ||
155 | "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d", | 155 | "id": "3cb2f6c6-a3c2-449e-9526-3bd4fd68451d", | ||
156 | "name": "optimization", | 156 | "name": "optimization", | ||
157 | "state": "active", | 157 | "state": "active", | ||
158 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
159 | }, | 159 | }, | ||
160 | { | 160 | { | ||
161 | "display_name": "socio-economic Data", | 161 | "display_name": "socio-economic Data", | ||
162 | "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654", | 162 | "id": "b9d57e0e-fa7a-45a3-85fc-b839e13f7654", | ||
163 | "name": "socio-economic Data", | 163 | "name": "socio-economic Data", | ||
164 | "state": "active", | 164 | "state": "active", | ||
165 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
166 | }, | 166 | }, | ||
167 | { | 167 | { | ||
168 | "display_name": "urban planning", | 168 | "display_name": "urban planning", | ||
169 | "id": "3f631ec7-955e-4783-a375-4c0432b9cb89", | 169 | "id": "3f631ec7-955e-4783-a375-4c0432b9cb89", | ||
170 | "name": "urban planning", | 170 | "name": "urban planning", | ||
171 | "state": "active", | 171 | "state": "active", | ||
172 | "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", | ||
177 | "name": "vulnerability", | 177 | "name": "vulnerability", | ||
178 | "state": "active", | 178 | "state": "active", | ||
179 | "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 | } |