Modifiche

              
    

          
          
        
        

            
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{
            
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  "author": "Katherine Graves",
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  "author": "Katherine Graves",
            
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  "author_email": "kgraves@utexas.edu",
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  "author_email": "kgraves@utexas.edu",
            
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  "creator_user_id": "242a56a4-c3d6-465c-9fd0-ba1385b3a9d6",
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  "creator_user_id": "242a56a4-c3d6-465c-9fd0-ba1385b3a9d6",
            
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  "extras": [],
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  "extras": [],
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Texas: Statewide Subsidence",
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      "display_name": "Texas: Statewide Subsidence",
            
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      "id": "92969cee-3dfc-4a30-8b77-a551b06c5ddf",
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      "id": "92969cee-3dfc-4a30-8b77-a551b06c5ddf",
            
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      "image_display_url": 
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      "image_display_url": 
            
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ads/group/2025-02-20-221402.663450TopicalResearchClustersSUBSIDE.png",
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ads/group/2025-02-20-221402.663450TopicalResearchClustersSUBSIDE.png",
            
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      "name": "subsidence",
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      "name": "subsidence",
            
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      "title": "Texas: Statewide Subsidence"
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      "title": "Texas: Statewide Subsidence"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "981b0934-25ad-4b45-86e7-63460b8d4247",
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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": "Suzanne Pierce",
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  "maintainer": "Suzanne Pierce",
            
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  "maintainer_email": "spierce@tacc.utexas.edu",
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  "maintainer_email": "spierce@tacc.utexas.edu",
            
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  "metadata_created": "2025-02-27T21:44:02.871000",
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  "metadata_created": "2025-02-27T21:44:02.871000",
            
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  "metadata_modified": "2025-02-27T22:36:56.100435",
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  "metadata_modified": "2025-02-27T22:38:24.889048",
            
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  "name": "software-application-examples-subside",
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  "name": "software-application-examples-subside",
            
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  "notes": "This entry is a place to collect links and descriptions of 
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  "notes": "This entry is a place to collect links and descriptions of 
            
28
various software and web application examples that can inform the 
28
various software and web application examples that can inform the 
            
29
design and development of the SUBSIDE project. \r\n\r\nEach entry in 
29
design and development of the SUBSIDE project. \r\n\r\nEach entry in 
            
30
the collection uses descriptive sections that follow those developed 
30
the collection uses descriptive sections that follow those developed 
            
31
via ontosoft project (Gil et al., 2015). \r\n\r\nOntoSoft: Capturing 
31
via ontosoft project (Gil et al., 2015). \r\n\r\nOntoSoft: Capturing 
            
32
Scientific Software Metadata. Yolanda Gil, Varun Ratnakar, and Daniel 
32
Scientific Software Metadata. Yolanda Gil, Varun Ratnakar, and Daniel 
            
33
Garijo. , Palisades, NY, 2015. Proceedings of the Eighth ACM 
33
Garijo. , Palisades, NY, 2015. Proceedings of the Eighth ACM 
            
34
International Conference on Knowledge Capture (K-CAP), Palisades, NY, 
34
International Conference on Knowledge Capture (K-CAP), Palisades, NY, 
            
35
October 2015.",
35
October 2015.",
            
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-12-13T20:42:01.845712",
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    "created": "2024-12-13T20:42:01.845712",
            
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    "description": "Analysis and Model Integration MINT and 
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    "description": "Analysis and Model Integration MINT and 
            
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Cookbooks",
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Cookbooks",
            
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    "id": "c25380f6-8a3d-4e34-935e-230530e5091c",
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    "image_url": "2025-01-01-201704.120948tris4x.png",
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    "image_url": "2025-01-01-201704.120948tris4x.png",
            
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    "is_organization": true,
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    "title": "DYNAMO",
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    "title": "DYNAMO",
            
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    "type": "organization"
            
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      "created": "2025-02-27T21:45:28.046944",
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      "description": "_The Digital Coast_ was developed to meet the 
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      "description": "_The Digital Coast_ was developed to meet the 
            
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unique needs of the coastal management community. The website provides 
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unique needs of the coastal management community. The website provides 
            
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not only coastal data, but also the tools, training, and information 
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not only coastal data, but also the tools, training, and information 
            
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needed to make these data truly useful. Content comes from many 
64
needed to make these data truly useful. Content comes from many 
            
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sources, all of which are vetted by NOAA.\r\n\r\n* The Sea Level Rise 
65
sources, all of which are vetted by NOAA.\r\n\r\n* The Sea Level Rise 
            
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Viewer and Marshland tool is of interest. 
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Viewer and Marshland tool is of interest. 
            
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https://coast.noaa.gov/slr/#",
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https://coast.noaa.gov/slr/#",
            
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      "name": "Digital Coast",
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      "description": "ENVI\u00ae is the premier image analysis 
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      "description": "ENVI\u00ae is the premier image analysis 
            
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software used by GIS professionals, remote sensing scientists, and 
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software used by GIS professionals, remote sensing scientists, and 
            
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image analysts. ENVI allows you to extract meaningful information from 
91
image analysts. ENVI allows you to extract meaningful information from 
            
92
imagery to make better decisions. ENVI can be deployed and accessed 
92
imagery to make better decisions. ENVI can be deployed and accessed 
            
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from the desktop and in the cloud. It can also be customized through 
93
from the desktop and in the cloud. It can also be customized through 
            
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an IDL-based application programming interface (API) to meet specific 
94
an IDL-based application programming interface (API) to meet specific 
            
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project requirements.\r\n\r\n* 
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project requirements.\r\n\r\n* 
            
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AE%20is%20the%20premier,imagery%20to%20make%20better%20decisions.\r\n* 
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AE%20is%20the%20premier,imagery%20to%20make%20better%20decisions.\r\n* 
            
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://www.harrisgeospatial.com/ProductsandTechnology/Software/ENVI.aspx",
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://www.harrisgeospatial.com/ProductsandTechnology/Software/ENVI.aspx",
            
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      "name": "ENVI",
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      "name": "ENVI",
            
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      "description": "ADCIRC is a system of computer programs for 
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      "description": "ADCIRC is a system of computer programs for 
            
121
solving time dependent, free surface circulation and transport 
121
solving time dependent, free surface circulation and transport 
            
122
problems in two and three dimensions. These programs utilize the 
122
problems in two and three dimensions. These programs utilize the 
            
123
finite element method in space allowing the use of highly flexible, 
123
finite element method in space allowing the use of highly flexible, 
            
124
unstructured grids. Typical ADCIRC applications have included: 
124
unstructured grids. Typical ADCIRC applications have included: 
            
125
prediction of storm surge and flooding, modeling tides and wind driven 
125
prediction of storm surge and flooding, modeling tides and wind driven 
            
126
cicrulation, larval transport studies, near shore marine operations, 
126
cicrulation, larval transport studies, near shore marine operations, 
            
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dredging feasibility and material disposal studies ",
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dredging feasibility and material disposal studies ",
            
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      "name": "ADCIRC ",
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      "url": 
            
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https://adcirc.org/home/documentation/users-manual-v50/introduction/",
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https://adcirc.org/home/documentation/users-manual-v50/introduction/",
            
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      "description": "GipsyX is developed by the Jet Propulsion 
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      "description": "GipsyX is developed by the Jet Propulsion 
            
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Laboratory (JPL), and maintained by the Near Earth Tracking 
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Laboratory (JPL), and maintained by the Near Earth Tracking 
            
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Applications and Systems groups. It replaces the GIPSY-OASIS 
152
Applications and Systems groups. It replaces the GIPSY-OASIS 
            
153
(GNSS-Inferred Positioning System and Orbit Analysis Simulation 
153
(GNSS-Inferred Positioning System and Orbit Analysis Simulation 
            
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Software) software. Application: Terrestrial positioning for 
154
Software) software. Application: Terrestrial positioning for 
            
155
geophysical research: earth deformation, plate tectonics, GNSS 
155
geophysical research: earth deformation, plate tectonics, GNSS 
            
156
networks (PBO and SCIGN), ice flow, climate studies through 
156
networks (PBO and SCIGN), ice flow, climate studies through 
            
157
observation of troposphere and ionosphere, reference time frame 
157
observation of troposphere and ionosphere, reference time frame 
            
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(geocenter and scale) and Earth rotation parameters",
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(geocenter and scale) and Earth rotation parameters",
            
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      "datastore_active": false,
            
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      "description": "Hazus is a nationally applicable standardized 
180
      "description": "Hazus is a nationally applicable standardized 
            
181
methodology developed by the Federal Emergency Management Agency 
181
methodology developed by the Federal Emergency Management Agency 
            
182
(FEMA). A downloadable software package called Hazus-MH (for 
182
(FEMA). A downloadable software package called Hazus-MH (for 
            
183
Multi-Hazard) gives users access to FEMA's models for estimating 
183
Multi-Hazard) gives users access to FEMA's models for estimating 
            
184
potential losses from earthquakes, floods, and hurricanes. The 
184
potential losses from earthquakes, floods, and hurricanes. The 
            
185
software package uses Geographic Information Systems (GIS) technology 
185
software package uses Geographic Information Systems (GIS) technology 
            
186
to estimate physical, economic, and social impacts of disasters. It 
186
to estimate physical, economic, and social impacts of disasters. It 
            
187
graphically illustrates the limits of identified high-risk locations 
187
graphically illustrates the limits of identified high-risk locations 
            
188
due to earthquake, hurricane, and floods. Users can then visualize the 
188
due to earthquake, hurricane, and floods. Users can then visualize the 
            
189
spatial relationships between populations and other, more permanently 
189
spatial relationships between populations and other, more permanently 
            
190
fixed geographic assets or resources for the specific hazard being 
190
fixed geographic assets or resources for the specific hazard being 
            
191
modeled, a crucial function in the pre-disaster planning process.",
191
modeled, a crucial function in the pre-disaster planning process.",
            
192
      "format": "",
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      "name": "HAZUS-MH",
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      "name": "HAZUS-MH",
            
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
            
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      "state": "active",
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      "url": "https://toolkit.climate.gov/tool/hazus",
205
      "url": "https://toolkit.climate.gov/tool/hazus",
            
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      "url_type": null
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    },
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      "created": "2025-02-27T22:30:12.576225",
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "A spatially-explicit model (Hydro-MEM) by 
213
      "description": "A spatially-explicit model (Hydro-MEM) by 
            
214
linking a hydrodynamic-physical model and the Marsh Equilibrium Model 
214
linking a hydrodynamic-physical model and the Marsh Equilibrium Model 
            
215
(MEM) was developed. The model includes the dynamics of sea level rise 
215
(MEM) was developed. The model includes the dynamics of sea level rise 
            
216
and sea level rise rate in the modeling approach.",
216
and sea level rise rate in the modeling approach.",
            
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      "name": "Hydro-MEM",
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      "name": "Hydro-MEM",
            
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
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      "state": "active",
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      "state": "active",
            
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      "url": 
230
      "url": 
            
231
"https://www.sciencedirect.com/science/article/pii/S0304380016300011",
231
"https://www.sciencedirect.com/science/article/pii/S0304380016300011",
            
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      "url_type": null
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    },
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    },
            
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    {
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    {
            
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      "created": "2025-02-27T22:31:58.020971",
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      "created": "2025-02-27T22:31:58.020971",
            
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      "datastore_active": false,
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      "description": "Scientists at EROS have developed the 
239
      "description": "Scientists at EROS have developed the 
            
240
FOREcasting SCEnarios of Land-use Change (FORE-SCE) modeling framework 
240
FOREcasting SCEnarios of Land-use Change (FORE-SCE) modeling framework 
            
241
to provide spatially explicit projections of future land-use and 
241
to provide spatially explicit projections of future land-use and 
            
242
land-cover change. FORE-SCE uses a modular approach to handle 
242
land-cover change. FORE-SCE uses a modular approach to handle 
            
243
large-scale (national to global) and small-scale (local) drivers of 
243
large-scale (national to global) and small-scale (local) drivers of 
            
244
change. A \"demand\" module provides overall proportions of future 
244
change. A \"demand\" module provides overall proportions of future 
            
245
land-cover change at the regional level. A \"spatial allocation\" 
245
land-cover change at the regional level. A \"spatial allocation\" 
            
246
module ingests land-cover proportions from the demand module and 
246
module ingests land-cover proportions from the demand module and 
            
247
produces spatially explicit maps.",
247
produces spatially explicit maps.",
            
248
      "format": "",
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      "format": "",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "fb09c8a9-5bfd-4577-ad95-42fe4f9552ec",
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      "metadata_modified": "2025-02-27T22:32:41.678931",
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      "name": "FORE-SCE",
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      "name": "FORE-SCE",
            
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      "state": "active",
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      "state": "active",
            
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      "url": 
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      "url": 
            
262
e-land-cover-modeling/land-cover-modeling-methodology-fore-sce-model",
262
e-land-cover-modeling/land-cover-modeling-methodology-fore-sce-model",
            
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      "url_type": null
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    },
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    },
            
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      "created": "2025-02-27T22:32:41.691879",
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      "created": "2025-02-27T22:32:41.691879",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "preeminent groundwater modeling software issued 
270
      "description": "preeminent groundwater modeling software issued 
            
271
by USGS ",
271
by USGS ",
            
272
      "format": "",
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      "hash": "",
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      "hash": "",
            
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      "id": "edaea3cf-1d94-4087-b164-c769bf5365c7",
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      "id": "edaea3cf-1d94-4087-b164-c769bf5365c7",
            
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      "metadata_modified": "2025-02-27T22:33:32.276911",
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      "name": "MODFLOW6",
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      "name": "MODFLOW6",
            
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
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      "state": "active",
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      "state": "active",
            
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      "url": 
285
      "url": 
            
286
ttps://www.usgs.gov/software/modflow-6-usgs-modular-hydrologic-model",
286
ttps://www.usgs.gov/software/modflow-6-usgs-modular-hydrologic-model",
            
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      "url_type": null
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    },
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    },
            
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    {
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    {
            
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      "created": "2025-02-27T22:33:32.287571",
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      "datastore_active": false,
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      "description": "Started in April 2021, the Observational 
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      "description": "Started in April 2021, the Observational 
            
295
Products for End-Users from Remote Sensing Analysis (OPERA) project at 
295
Products for End-Users from Remote Sensing Analysis (OPERA) project at 
            
296
the Jet Propulsion Laboratory collects data from satellite radar and 
296
the Jet Propulsion Laboratory collects data from satellite radar and 
            
297
optical instruments to generate six product suites: near global 
297
optical instruments to generate six product suites: near global 
            
298
surface water extent product suite, near global surface disturbance 
298
surface water extent product suite, near global surface disturbance 
            
299
product suite, near global radiometric terrain corrected product, 
299
product suite, near global radiometric terrain corrected product, 
            
300
North America Coregistered Single Look complex product suite, North 
300
North America Coregistered Single Look complex product suite, North 
            
301
America Displacement, product suite, North America vertical land 
301
America Displacement, product suite, North America vertical land 
            
302
motion product suite",
302
motion product suite",
            
303
      "format": "",
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      "format": "",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "5b66b836-dd35-45e0-86a9-4a0ac2f9fae6",
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      "mimetype_inner": null,
            
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      "name": "OPERA",
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      "name": "OPERA",
            
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
            
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      "state": "active",
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      "state": "active",
            
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      "url": "https://www.jpl.nasa.gov/go/opera/",
316
      "url": "https://www.jpl.nasa.gov/go/opera/",
            
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      "url_type": null
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    },
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    {
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      "datastore_active": false,
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      "description": "PEST++ is a PEST-compatible suite of software 
324
      "description": "PEST++ is a PEST-compatible suite of software 
            
325
whose functionality includes the following (the list is growing): 
325
whose functionality includes the following (the list is growing): 
            
326
highly parameterized inversion, global optimization through 
326
highly parameterized inversion, global optimization through 
            
327
differential evolution, global sensitivity analysis, management 
327
differential evolution, global sensitivity analysis, management 
            
328
optimization under chance constraints, posterior uncertainty analysis 
328
optimization under chance constraints, posterior uncertainty analysis 
            
329
using a sophisticated iterative ensemble smoother",
329
using a sophisticated iterative ensemble smoother",
            
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      "format": "",
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      "format": "",
            
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      "hash": "",
            
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      "metadata_modified": "2025-02-27T22:36:56.110205",
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      "name": "PEST++",
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      "name": "PEST++",
            
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
            
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      "state": "active",
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      "state": "active",
            
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      "url": "https://pesthomepage.org/pest",
343
      "url": "https://pesthomepage.org/pest",
            
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      "url_type": null
            
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      "datastore_active": false,
            
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      "description": "A multi-layer data visualization tool for 
            
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monitoring and understanding groundwater data across the state of 
            
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California. ",
            
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      "format": "",
            
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      "mimetype": null,
            
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      "name": "SGMA Viewer",
            
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      "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247",
            
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      "state": "active",
            
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      "url": 
            
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s://sgma.water.ca.gov/webgis/?appid=SGMADataViewer#currentconditions",
            
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      "url_type": null
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      "url_type": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "geospatial imagery",
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      "display_name": "geospatial imagery",
            
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      "id": "8dc11a31-e07f-41c2-a6e0-a64714f0e183",
            
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      "name": "geospatial imagery",
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      "name": "geospatial imagery",
            
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
355
    },
380
    },
            
356
    {
381
    {
            
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      "display_name": "remote sensing",
382
      "display_name": "remote sensing",
            
358
      "id": "0b2c9e22-52fd-4ac8-9958-8fdcca29650d",
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      "id": "0b2c9e22-52fd-4ac8-9958-8fdcca29650d",
            
359
      "name": "remote sensing",
384
      "name": "remote sensing",
            
360
      "state": "active",
385
      "state": "active",
            
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      "vocabulary_id": null
386
      "vocabulary_id": null
            
362
    },
387
    },
            
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    {
388
    {
            
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      "display_name": "subsidence",
389
      "display_name": "subsidence",
            
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      "id": "7451d035-46ee-4bc8-b514-8b5034cc9ff3",
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      "id": "7451d035-46ee-4bc8-b514-8b5034cc9ff3",
            
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      "name": "subsidence",
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      "name": "subsidence",
            
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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
            
369
    }
394
    }
            
370
  ],
395
  ],
            
371
  "title": "SUBSIDE Software & Application Review",
396
  "title": "SUBSIDE Software & Application Review",
            
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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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  "version": ""
399
  "version": ""
            
375
}
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}