Modifications

              
    

          
          
        
        

            
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{
            
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  "author": "Katherine Graves",
2
  "author": "Katherine Graves",
            
3
  "author_email": "kgraves@utexas.edu",
3
  "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"
14
      "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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  "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": "2025-02-27T22:59:21.957590",
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  "metadata_modified": "2025-02-27T23:03:28.811449",
            
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  "name": "software-application-examples-subside",
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  "name": "software-application-examples-subside",
            
27
  "notes": "This entry is a place to collect links and descriptions of 
27
  "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\nThe summary 
29
design and development of the SUBSIDE project. \r\n\r\nThe summary 
            
30
table is included as an excel spreadsheet and reflects the version 
30
table is included as an excel spreadsheet and reflects the version 
            
31
presented in the Deliverable 1.2 of the SUBSIDE project. \r\n\r\nEach 
31
presented in the Deliverable 1.2 of the SUBSIDE project. \r\n\r\nEach 
            
32
entry in the collection uses descriptive sections that follow those 
32
entry in the collection uses descriptive sections that follow those 
            
33
developed via ontosoft project (Gil et al., 2015). \r\n\r\nOntoSoft: 
33
developed via ontosoft project (Gil et al., 2015). \r\n\r\nOntoSoft: 
            
34
Capturing Scientific Software Metadata. Yolanda Gil, Varun Ratnakar, 
34
Capturing Scientific Software Metadata. Yolanda Gil, Varun Ratnakar, 
            
35
and Daniel Garijo. , Palisades, NY, 2015. Proceedings of the Eighth 
35
and Daniel Garijo. , Palisades, NY, 2015. Proceedings of the Eighth 
            
36
ACM International Conference on Knowledge Capture (K-CAP), Palisades, 
36
ACM International Conference on Knowledge Capture (K-CAP), Palisades, 
            
37
NY, October 2015.",
37
NY, October 2015.",
            
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  "num_tags": 3,
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  "num_tags": 3,
            
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  "organization": {
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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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    "is_organization": true,
            
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    "name": "dynamo",
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    "name": "dynamo",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "DYNAMO",
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    "title": "DYNAMO",
            
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    "type": "organization"
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    "type": "organization"
            
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  "owner_org": "c25380f6-8a3d-4e34-935e-230530e5091c",
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  "owner_org": "c25380f6-8a3d-4e34-935e-230530e5091c",
            
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  "private": false,
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  "relationships_as_object": [],
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  "resources": [
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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 
64
unique needs of the coastal management community. The website provides 
            
65
not only coastal data, but also the tools, training, and information 
65
not only coastal data, but also the tools, training, and information 
            
66
needed to make these data truly useful. Content comes from many 
66
needed to make these data truly useful. Content comes from many 
            
67
sources, all of which are vetted by NOAA.\r\n\r\n* The Sea Level Rise 
67
sources, all of which are vetted by NOAA.\r\n\r\n* The Sea Level Rise 
            
68
Viewer and Marshland tool is of interest. 
68
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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      "url": "https://coast.noaa.gov/digitalcoast/",
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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 
92
software used by GIS professionals, remote sensing scientists, and 
            
93
image analysts. ENVI allows you to extract meaningful information from 
93
image analysts. ENVI allows you to extract meaningful information from 
            
94
imagery to make better decisions. ENVI can be deployed and accessed 
94
imagery to make better decisions. ENVI can be deployed and accessed 
            
95
from the desktop and in the cloud. It can also be customized through 
95
from the desktop and in the cloud. It can also be customized through 
            
96
an IDL-based application programming interface (API) to meet specific 
96
an IDL-based application programming interface (API) to meet specific 
            
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project requirements.\r\n\r\n* 
97
project requirements.\r\n\r\n* 
            
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AE%20is%20the%20premier,imagery%20to%20make%20better%20decisions.\r\n* 
98
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 
122
      "description": "ADCIRC is a system of computer programs for 
            
123
solving time dependent, free surface circulation and transport 
123
solving time dependent, free surface circulation and transport 
            
124
problems in two and three dimensions. These programs utilize the 
124
problems in two and three dimensions. These programs utilize the 
            
125
finite element method in space allowing the use of highly flexible, 
125
finite element method in space allowing the use of highly flexible, 
            
126
unstructured grids. Typical ADCIRC applications have included: 
126
unstructured grids. Typical ADCIRC applications have included: 
            
127
prediction of storm surge and flooding, modeling tides and wind driven 
127
prediction of storm surge and flooding, modeling tides and wind driven 
            
128
cicrulation, larval transport studies, near shore marine operations, 
128
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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      "name": "ADCIRC ",
            
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      "url": 
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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 
            
153
Laboratory (JPL), and maintained by the Near Earth Tracking 
153
Laboratory (JPL), and maintained by the Near Earth Tracking 
            
154
Applications and Systems groups. It replaces the GIPSY-OASIS 
154
Applications and Systems groups. It replaces the GIPSY-OASIS 
            
155
(GNSS-Inferred Positioning System and Orbit Analysis Simulation 
155
(GNSS-Inferred Positioning System and Orbit Analysis Simulation 
            
156
Software) software. Application: Terrestrial positioning for 
156
Software) software. Application: Terrestrial positioning for 
            
157
geophysical research: earth deformation, plate tectonics, GNSS 
157
geophysical research: earth deformation, plate tectonics, GNSS 
            
158
networks (PBO and SCIGN), ice flow, climate studies through 
158
networks (PBO and SCIGN), ice flow, climate studies through 
            
159
observation of troposphere and ionosphere, reference time frame 
159
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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      "description": "Hazus is a nationally applicable standardized 
182
      "description": "Hazus is a nationally applicable standardized 
            
183
methodology developed by the Federal Emergency Management Agency 
183
methodology developed by the Federal Emergency Management Agency 
            
184
(FEMA). A downloadable software package called Hazus-MH (for 
184
(FEMA). A downloadable software package called Hazus-MH (for 
            
185
Multi-Hazard) gives users access to FEMA's models for estimating 
185
Multi-Hazard) gives users access to FEMA's models for estimating 
            
186
potential losses from earthquakes, floods, and hurricanes. The 
186
potential losses from earthquakes, floods, and hurricanes. The 
            
187
software package uses Geographic Information Systems (GIS) technology 
187
software package uses Geographic Information Systems (GIS) technology 
            
188
to estimate physical, economic, and social impacts of disasters. It 
188
to estimate physical, economic, and social impacts of disasters. It 
            
189
graphically illustrates the limits of identified high-risk locations 
189
graphically illustrates the limits of identified high-risk locations 
            
190
due to earthquake, hurricane, and floods. Users can then visualize the 
190
due to earthquake, hurricane, and floods. Users can then visualize the 
            
191
spatial relationships between populations and other, more permanently 
191
spatial relationships between populations and other, more permanently 
            
192
fixed geographic assets or resources for the specific hazard being 
192
fixed geographic assets or resources for the specific hazard being 
            
193
modeled, a crucial function in the pre-disaster planning process.",
193
modeled, a crucial function in the pre-disaster planning process.",
            
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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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      "url": "https://toolkit.climate.gov/tool/hazus",
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      "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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      "description": "A spatially-explicit model (Hydro-MEM) by 
215
      "description": "A spatially-explicit model (Hydro-MEM) by 
            
216
linking a hydrodynamic-physical model and the Marsh Equilibrium Model 
216
linking a hydrodynamic-physical model and the Marsh Equilibrium Model 
            
217
(MEM) was developed. The model includes the dynamics of sea level rise 
217
(MEM) was developed. The model includes the dynamics of sea level rise 
            
218
and sea level rise rate in the modeling approach.",
218
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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      "state": "active",
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      "state": "active",
            
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      "url": 
232
      "url": 
            
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"https://www.sciencedirect.com/science/article/pii/S0304380016300011",
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"https://www.sciencedirect.com/science/article/pii/S0304380016300011",
            
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      "url_type": null
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      "created": "2025-02-27T22:31:58.020971",
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      "description": "Scientists at EROS have developed the 
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      "description": "Scientists at EROS have developed the 
            
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FOREcasting SCEnarios of Land-use Change (FORE-SCE) modeling framework 
242
FOREcasting SCEnarios of Land-use Change (FORE-SCE) modeling framework 
            
243
to provide spatially explicit projections of future land-use and 
243
to provide spatially explicit projections of future land-use and 
            
244
land-cover change. FORE-SCE uses a modular approach to handle 
244
land-cover change. FORE-SCE uses a modular approach to handle 
            
245
large-scale (national to global) and small-scale (local) drivers of 
245
large-scale (national to global) and small-scale (local) drivers of 
            
246
change. A \"demand\" module provides overall proportions of future 
246
change. A \"demand\" module provides overall proportions of future 
            
247
land-cover change at the regional level. A \"spatial allocation\" 
247
land-cover change at the regional level. A \"spatial allocation\" 
            
248
module ingests land-cover proportions from the demand module and 
248
module ingests land-cover proportions from the demand module and 
            
249
produces spatially explicit maps.",
249
produces spatially explicit maps.",
            
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      "format": "",
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      "format": "",
            
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      "hash": "",
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      "hash": "",
            
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      "name": "FORE-SCE",
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      "name": "FORE-SCE",
            
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      "state": "active",
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      "url": 
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      "url": 
            
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e-land-cover-modeling/land-cover-modeling-methodology-fore-sce-model",
264
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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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "preeminent groundwater modeling software issued 
272
      "description": "preeminent groundwater modeling software issued 
            
273
by USGS ",
273
by USGS ",
            
274
      "format": "",
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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": 
287
      "url": 
            
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ttps://www.usgs.gov/software/modflow-6-usgs-modular-hydrologic-model",
288
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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      "description": "Started in April 2021, the Observational 
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      "description": "Started in April 2021, the Observational 
            
297
Products for End-Users from Remote Sensing Analysis (OPERA) project at 
297
Products for End-Users from Remote Sensing Analysis (OPERA) project at 
            
298
the Jet Propulsion Laboratory collects data from satellite radar and 
298
the Jet Propulsion Laboratory collects data from satellite radar and 
            
299
optical instruments to generate six product suites: near global 
299
optical instruments to generate six product suites: near global 
            
300
surface water extent product suite, near global surface disturbance 
300
surface water extent product suite, near global surface disturbance 
            
301
product suite, near global radiometric terrain corrected product, 
301
product suite, near global radiometric terrain corrected product, 
            
302
North America Coregistered Single Look complex product suite, North 
302
North America Coregistered Single Look complex product suite, North 
            
303
America Displacement, product suite, North America vertical land 
303
America Displacement, product suite, North America vertical land 
            
304
motion product suite",
304
motion product suite",
            
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      "format": "",
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      "format": "",
            
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      "hash": "",
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      "hash": "",
            
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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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      "url": "https://www.jpl.nasa.gov/go/opera/",
            
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      "url_type": null
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      "description": "PEST++ is a PEST-compatible suite of software 
326
      "description": "PEST++ is a PEST-compatible suite of software 
            
327
whose functionality includes the following (the list is growing): 
327
whose functionality includes the following (the list is growing): 
            
328
highly parameterized inversion, global optimization through 
328
highly parameterized inversion, global optimization through 
            
329
differential evolution, global sensitivity analysis, management 
329
differential evolution, global sensitivity analysis, management 
            
330
optimization under chance constraints, posterior uncertainty analysis 
330
optimization under chance constraints, posterior uncertainty analysis 
            
331
using a sophisticated iterative ensemble smoother",
331
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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      "hash": "",
            
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      "metadata_modified": "2025-02-27T22:38:24.896393",
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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",
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      "url": "https://pesthomepage.org/pest",
            
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      "url_type": null
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      "url_type": null
            
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      "description": "A multi-layer data visualization tool for 
353
      "description": "A multi-layer data visualization tool for 
            
354
monitoring and understanding groundwater data across the state of 
354
monitoring and understanding groundwater data across the state of 
            
355
California. ",
355
California. ",
            
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      "format": "",
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      "metadata_modified": "2025-02-27T22:39:03.249335",
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      "metadata_modified": "2025-02-27T22:39:03.249335",
            
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      "name": "SGMA Viewer",
363
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developed at Delft University of Technology,\u00a0that computes 
            
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