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  "author": "Katherine V. Graves",
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  "author": "Katherine V. Graves",
            
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  "author_email": "kgraves@utmail.utexas.edu",
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  "author_email": "kgraves@utmail.utexas.edu",
            
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  "extras": [],
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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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      "image_display_url": 
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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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  "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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  "maintainer": "Suzanne A. Pierce",
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  "maintainer": "Suzanne A. 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_modified": "2025-03-21T17:01:48.101680",
            
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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 
n
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  "notes": "SUBSIDE Software, Data, and Tools Review from Brown Bag 
            
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Series 2023/24\r\n\r\nThis entry is a place to collect links and 
            
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various software and web application examples that can inform the 
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descriptions of various software and web application examples that can 
            
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design and development of the SUBSIDE project. \r\n\r\nThe summary 
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inform the design and development of the SUBSIDE project. \r\n\r\nThe 
            
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table is included as an excel spreadsheet and reflects the version 
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summary table is included as an excel spreadsheet and reflects the 
            
31
presented in the Deliverable 1.2 of the SUBSIDE project. \r\n\r\nEach 
32
version presented in the Deliverable 1.2 of the SUBSIDE project. 
            
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entry in the collection uses descriptive sections that follow those 
33
\r\n\r\nEach entry in the collection uses descriptive sections that 
            
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developed via ontosoft project (Gil et al., 2015). \r\n\r\nOntoSoft: 
34
follow those developed via ontosoft project (Gil et al., 2015). 
            
34
Capturing Scientific Software Metadata. Yolanda Gil, Varun Ratnakar, 
35
\r\n\r\nOntoSoft: Capturing Scientific Software Metadata. Yolanda Gil, 
            
35
and Daniel Garijo. , Palisades, NY, 2015. Proceedings of the Eighth 
36
Varun Ratnakar, and Daniel Garijo. , Palisades, NY, 2015. Proceedings 
            
36
ACM International Conference on Knowledge Capture (K-CAP), Palisades, 
37
of the Eighth ACM International Conference on Knowledge Capture 
            
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NY, October 2015.",
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(K-CAP), Palisades, NY, October 2015.",
            
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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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      "description": "This is the summary table with labels, simple 
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      "description": "This is the summary table with labels, simple 
            
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descriptions, and links to the software, data, and tools referenced in 
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descriptions, and links to the software, data, and tools referenced in 
            
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the Brown Bag Lecture Series for the SUBSIDE program at Texas Water 
66
the Brown Bag Lecture Series for the SUBSIDE program at Texas Water 
            
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Development Board in 2023 and 2024. ",
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Development Board in 2023 and 2024. ",
            
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      "name": "Software, Data, Tools Review from SUBSIDE BrownBag 
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      "name": "Software, Data, Tools Review from SUBSIDE BrownBag 
            
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Lecture Serice for Task 1.2 Report",
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Lecture Serice for Task 1.2 Report",
            
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      "url": 
            
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85-9749-f735efa8fb83/download/bb_softwaredatatoolssummary_del1.2.csv",
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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 
            
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solving time dependent, free surface circulation and transport 
92
solving time dependent, free surface circulation and transport 
            
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problems in two and three dimensions. These programs utilize the 
93
problems in two and three dimensions. These programs utilize the 
            
93
finite element method in space allowing the use of highly flexible, 
94
finite element method in space allowing the use of highly flexible, 
            
94
unstructured grids. Typical ADCIRC applications have included: 
95
unstructured grids. Typical ADCIRC applications have included: 
            
95
prediction of storm surge and flooding, modeling tides and wind driven 
96
prediction of storm surge and flooding, modeling tides and wind driven 
            
96
cicrulation, larval transport studies, near shore marine operations, 
97
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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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": "_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 
123
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 
124
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 
125
sources, all of which are vetted by NOAA.\r\n\r\n* The Sea Level Rise 
            
125
Viewer and Marshland tool is of interest. 
126
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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      "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 
151
image analysts. ENVI allows you to extract meaningful information from 
            
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imagery to make better decisions. ENVI can be deployed and accessed 
152
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 
153
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 
154
an IDL-based application programming interface (API) to meet specific 
            
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project requirements.\r\n\r\n* 
155
project requirements.\r\n\r\n* 
            
155
AE%20is%20the%20premier,imagery%20to%20make%20better%20decisions.\r\n* 
156
AE%20is%20the%20premier,imagery%20to%20make%20better%20decisions.\r\n* 
            
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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 
181
Laboratory (JPL), and maintained by the Near Earth Tracking 
            
181
Applications and Systems groups. It replaces the GIPSY-OASIS 
182
Applications and Systems groups. It replaces the GIPSY-OASIS 
            
182
(GNSS-Inferred Positioning System and Orbit Analysis Simulation 
183
(GNSS-Inferred Positioning System and Orbit Analysis Simulation 
            
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Software) software. Application: Terrestrial positioning for 
184
Software) software. Application: Terrestrial positioning for 
            
184
geophysical research: earth deformation, plate tectonics, GNSS 
185
geophysical research: earth deformation, plate tectonics, GNSS 
            
185
networks (PBO and SCIGN), ice flow, climate studies through 
186
networks (PBO and SCIGN), ice flow, climate studies through 
            
186
observation of troposphere and ionosphere, reference time frame 
187
observation of troposphere and ionosphere, reference time frame 
            
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(geocenter and scale) and Earth rotation parameters",
188
(geocenter and scale) and Earth rotation parameters",
            
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      "name": "GipsyX V 1.7",
            
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      "description": "Hazus is a nationally applicable standardized 
210
      "description": "Hazus is a nationally applicable standardized 
            
210
methodology developed by the Federal Emergency Management Agency 
211
methodology developed by the Federal Emergency Management Agency 
            
211
(FEMA). A downloadable software package called Hazus-MH (for 
212
(FEMA). A downloadable software package called Hazus-MH (for 
            
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Multi-Hazard) gives users access to FEMA's models for estimating 
213
Multi-Hazard) gives users access to FEMA's models for estimating 
            
213
potential losses from earthquakes, floods, and hurricanes. The 
214
potential losses from earthquakes, floods, and hurricanes. The 
            
214
software package uses Geographic Information Systems (GIS) technology 
215
software package uses Geographic Information Systems (GIS) technology 
            
215
to estimate physical, economic, and social impacts of disasters. It 
216
to estimate physical, economic, and social impacts of disasters. It 
            
216
graphically illustrates the limits of identified high-risk locations 
217
graphically illustrates the limits of identified high-risk locations 
            
217
due to earthquake, hurricane, and floods. Users can then visualize the 
218
due to earthquake, hurricane, and floods. Users can then visualize the 
            
218
spatial relationships between populations and other, more permanently 
219
spatial relationships between populations and other, more permanently 
            
219
fixed geographic assets or resources for the specific hazard being 
220
fixed geographic assets or resources for the specific hazard being 
            
220
modeled, a crucial function in the pre-disaster planning process.",
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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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      "url": "https://toolkit.climate.gov/tool/hazus",
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      "url": "https://toolkit.climate.gov/tool/hazus",
            
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      "description": "A spatially-explicit model (Hydro-MEM) by 
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      "description": "A spatially-explicit model (Hydro-MEM) by 
            
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linking a hydrodynamic-physical model and the Marsh Equilibrium Model 
244
linking a hydrodynamic-physical model and the Marsh Equilibrium Model 
            
244
(MEM) was developed. The model includes the dynamics of sea level rise 
245
(MEM) was developed. The model includes the dynamics of sea level rise 
            
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and sea level rise rate in the modeling approach.",
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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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      "url": 
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      "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 
            
269
FOREcasting SCEnarios of Land-use Change (FORE-SCE) modeling framework 
270
FOREcasting SCEnarios of Land-use Change (FORE-SCE) modeling framework 
            
270
to provide spatially explicit projections of future land-use and 
271
to provide spatially explicit projections of future land-use and 
            
271
land-cover change. FORE-SCE uses a modular approach to handle 
272
land-cover change. FORE-SCE uses a modular approach to handle 
            
272
large-scale (national to global) and small-scale (local) drivers of 
273
large-scale (national to global) and small-scale (local) drivers of 
            
273
change. A \"demand\" module provides overall proportions of future 
274
change. A \"demand\" module provides overall proportions of future 
            
274
land-cover change at the regional level. A \"spatial allocation\" 
275
land-cover change at the regional level. A \"spatial allocation\" 
            
275
module ingests land-cover proportions from the demand module and 
276
module ingests land-cover proportions from the demand module and 
            
276
produces spatially explicit maps.",
277
produces spatially explicit maps.",
            
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      "format": "",
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      "format": "",
            
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      "hash": "",
            
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      "name": "FORE-SCE",
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      "name": "FORE-SCE",
            
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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",
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e-land-cover-modeling/land-cover-modeling-methodology-fore-sce-model",
            
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      "url_type": null
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "preeminent groundwater modeling software issued 
300
      "description": "preeminent groundwater modeling software issued 
            
300
by USGS ",
301
by USGS ",
            
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      "format": "",
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      "format": "",
            
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      "hash": "",
            
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      "name": "MODFLOW6",
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      "name": "MODFLOW6",
            
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      "state": "active",
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      "state": "active",
            
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      "url": 
315
      "url": 
            
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ttps://www.usgs.gov/software/modflow-6-usgs-modular-hydrologic-model",
316
ttps://www.usgs.gov/software/modflow-6-usgs-modular-hydrologic-model",
            
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      "url_type": null
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      "description": "Started in April 2021, the Observational 
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      "description": "Started in April 2021, the Observational 
            
324
Products for End-Users from Remote Sensing Analysis (OPERA) project at 
325
Products for End-Users from Remote Sensing Analysis (OPERA) project at 
            
325
the Jet Propulsion Laboratory collects data from satellite radar and 
326
the Jet Propulsion Laboratory collects data from satellite radar and 
            
326
optical instruments to generate six product suites: near global 
327
optical instruments to generate six product suites: near global 
            
327
surface water extent product suite, near global surface disturbance 
328
surface water extent product suite, near global surface disturbance 
            
328
product suite, near global radiometric terrain corrected product, 
329
product suite, near global radiometric terrain corrected product, 
            
329
North America Coregistered Single Look complex product suite, North 
330
North America Coregistered Single Look complex product suite, North 
            
330
America Displacement, product suite, North America vertical land 
331
America Displacement, product suite, North America vertical land 
            
331
motion product suite",
332
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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      "id": "5b66b836-dd35-45e0-86a9-4a0ac2f9fae6",
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      "id": "5b66b836-dd35-45e0-86a9-4a0ac2f9fae6",
            
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      "metadata_modified": "2025-02-27T22:35:31.493179",
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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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      "state": "active",
            
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      "url": "https://www.jpl.nasa.gov/go/opera/",
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      "url": "https://www.jpl.nasa.gov/go/opera/",
            
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      "url_type": null
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    },
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      "created": "2025-02-27T22:36:56.120734",
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      "created": "2025-02-27T22:36:56.120734",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "PEST++ is a PEST-compatible suite of software 
354
      "description": "PEST++ is a PEST-compatible suite of software 
            
354
whose functionality includes the following (the list is growing): 
355
whose functionality includes the following (the list is growing): 
            
355
highly parameterized inversion, global optimization through 
356
highly parameterized inversion, global optimization through 
            
356
differential evolution, global sensitivity analysis, management 
357
differential evolution, global sensitivity analysis, management 
            
357
optimization under chance constraints, posterior uncertainty analysis 
358
optimization under chance constraints, posterior uncertainty analysis 
            
358
using a sophisticated iterative ensemble smoother",
359
using a sophisticated iterative ensemble smoother",
            
359
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