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27 februari 2025 22.39.03 UTC,
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Lade till resursen SqueeSAR till SUBSIDE Software & Application Review
| f | 1 | { | f | 1 | { |
| 2 | "author": "Katherine Graves", | 2 | "author": "Katherine Graves", | ||
| 3 | "author_email": "kgraves@utexas.edu", | 3 | "author_email": "kgraves@utexas.edu", | ||
| 4 | "creator_user_id": "242a56a4-c3d6-465c-9fd0-ba1385b3a9d6", | 4 | "creator_user_id": "242a56a4-c3d6-465c-9fd0-ba1385b3a9d6", | ||
| 5 | "extras": [], | 5 | "extras": [], | ||
| 6 | "groups": [ | 6 | "groups": [ | ||
| 7 | { | 7 | { | ||
| 8 | "description": "", | 8 | "description": "", | ||
| 9 | "display_name": "Texas: Statewide Subsidence", | 9 | "display_name": "Texas: Statewide Subsidence", | ||
| 10 | "id": "92969cee-3dfc-4a30-8b77-a551b06c5ddf", | 10 | "id": "92969cee-3dfc-4a30-8b77-a551b06c5ddf", | ||
| 11 | "image_display_url": | 11 | "image_display_url": | ||
| 12 | ads/group/2025-02-20-221402.663450TopicalResearchClustersSUBSIDE.png", | 12 | ads/group/2025-02-20-221402.663450TopicalResearchClustersSUBSIDE.png", | ||
| 13 | "name": "subsidence", | 13 | "name": "subsidence", | ||
| 14 | "title": "Texas: Statewide Subsidence" | 14 | "title": "Texas: Statewide Subsidence" | ||
| 15 | } | 15 | } | ||
| 16 | ], | 16 | ], | ||
| 17 | "id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 17 | "id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
| 18 | "isopen": true, | 18 | "isopen": true, | ||
| 19 | "license_id": "cc-by", | 19 | "license_id": "cc-by", | ||
| 20 | "license_title": "Creative Commons Attribution", | 20 | "license_title": "Creative Commons Attribution", | ||
| 21 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 21 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 22 | "maintainer": "Suzanne Pierce", | 22 | "maintainer": "Suzanne Pierce", | ||
| 23 | "maintainer_email": "spierce@tacc.utexas.edu", | 23 | "maintainer_email": "spierce@tacc.utexas.edu", | ||
| 24 | "metadata_created": "2025-02-27T21:44:02.871000", | 24 | "metadata_created": "2025-02-27T21:44:02.871000", | ||
| n | 25 | "metadata_modified": "2025-02-27T22:38:24.889048", | n | 25 | "metadata_modified": "2025-02-27T22:39:03.240750", |
| 26 | "name": "software-application-examples-subside", | 26 | "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\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.", | ||
| n | 36 | "num_resources": 11, | n | 36 | "num_resources": 12, |
| 37 | "num_tags": 3, | 37 | "num_tags": 3, | ||
| 38 | "organization": { | 38 | "organization": { | ||
| 39 | "approval_status": "approved", | 39 | "approval_status": "approved", | ||
| 40 | "created": "2024-12-13T20:42:01.845712", | 40 | "created": "2024-12-13T20:42:01.845712", | ||
| 41 | "description": "Analysis and Model Integration MINT and | 41 | "description": "Analysis and Model Integration MINT and | ||
| 42 | Cookbooks", | 42 | Cookbooks", | ||
| 43 | "id": "c25380f6-8a3d-4e34-935e-230530e5091c", | 43 | "id": "c25380f6-8a3d-4e34-935e-230530e5091c", | ||
| 44 | "image_url": "2025-01-01-201704.120948tris4x.png", | 44 | "image_url": "2025-01-01-201704.120948tris4x.png", | ||
| 45 | "is_organization": true, | 45 | "is_organization": true, | ||
| 46 | "name": "dynamo", | 46 | "name": "dynamo", | ||
| 47 | "state": "active", | 47 | "state": "active", | ||
| 48 | "title": "DYNAMO", | 48 | "title": "DYNAMO", | ||
| 49 | "type": "organization" | 49 | "type": "organization" | ||
| 50 | }, | 50 | }, | ||
| 51 | "owner_org": "c25380f6-8a3d-4e34-935e-230530e5091c", | 51 | "owner_org": "c25380f6-8a3d-4e34-935e-230530e5091c", | ||
| 52 | "private": false, | 52 | "private": false, | ||
| 53 | "relationships_as_object": [], | 53 | "relationships_as_object": [], | ||
| 54 | "relationships_as_subject": [], | 54 | "relationships_as_subject": [], | ||
| 55 | "resources": [ | 55 | "resources": [ | ||
| 56 | { | 56 | { | ||
| 57 | "cache_last_updated": null, | 57 | "cache_last_updated": null, | ||
| 58 | "cache_url": null, | 58 | "cache_url": null, | ||
| 59 | "created": "2025-02-27T21:45:28.046944", | 59 | "created": "2025-02-27T21:45:28.046944", | ||
| 60 | "datastore_active": false, | 60 | "datastore_active": false, | ||
| 61 | "description": "_The Digital Coast_ was developed to meet the | 61 | "description": "_The Digital Coast_ was developed to meet the | ||
| 62 | unique needs of the coastal management community. The website provides | 62 | unique needs of the coastal management community. The website provides | ||
| 63 | not only coastal data, but also the tools, training, and information | 63 | not only coastal data, but also the tools, training, and information | ||
| 64 | needed to make these data truly useful. Content comes from many | 64 | needed to make these data truly useful. Content comes from many | ||
| 65 | 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 | ||
| 66 | Viewer and Marshland tool is of interest. | 66 | Viewer and Marshland tool is of interest. | ||
| 67 | https://coast.noaa.gov/slr/#", | 67 | https://coast.noaa.gov/slr/#", | ||
| 68 | "format": "website", | 68 | "format": "website", | ||
| 69 | "hash": "", | 69 | "hash": "", | ||
| 70 | "id": "ad3f52eb-218d-49dc-ba12-702f1efe6552", | 70 | "id": "ad3f52eb-218d-49dc-ba12-702f1efe6552", | ||
| 71 | "last_modified": null, | 71 | "last_modified": null, | ||
| 72 | "metadata_modified": "2025-02-27T21:50:14.490582", | 72 | "metadata_modified": "2025-02-27T21:50:14.490582", | ||
| 73 | "mimetype": null, | 73 | "mimetype": null, | ||
| 74 | "mimetype_inner": null, | 74 | "mimetype_inner": null, | ||
| 75 | "name": "Digital Coast", | 75 | "name": "Digital Coast", | ||
| 76 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 76 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
| 77 | "position": 0, | 77 | "position": 0, | ||
| 78 | "resource_type": null, | 78 | "resource_type": null, | ||
| 79 | "size": null, | 79 | "size": null, | ||
| 80 | "state": "active", | 80 | "state": "active", | ||
| 81 | "url": "https://coast.noaa.gov/digitalcoast/", | 81 | "url": "https://coast.noaa.gov/digitalcoast/", | ||
| 82 | "url_type": null | 82 | "url_type": null | ||
| 83 | }, | 83 | }, | ||
| 84 | { | 84 | { | ||
| 85 | "cache_last_updated": null, | 85 | "cache_last_updated": null, | ||
| 86 | "cache_url": null, | 86 | "cache_url": null, | ||
| 87 | "created": "2025-02-27T21:53:37.893162", | 87 | "created": "2025-02-27T21:53:37.893162", | ||
| 88 | "datastore_active": false, | 88 | "datastore_active": false, | ||
| 89 | "description": "ENVI\u00ae is the premier image analysis | 89 | "description": "ENVI\u00ae is the premier image analysis | ||
| 90 | software used by GIS professionals, remote sensing scientists, and | 90 | software used by GIS professionals, remote sensing scientists, and | ||
| 91 | 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 | ||
| 93 | 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 | ||
| 94 | an IDL-based application programming interface (API) to meet specific | 94 | an IDL-based application programming interface (API) to meet specific | ||
| 95 | project requirements.\r\n\r\n* | 95 | project requirements.\r\n\r\n* | ||
| 96 | AE%20is%20the%20premier,imagery%20to%20make%20better%20decisions.\r\n* | 96 | AE%20is%20the%20premier,imagery%20to%20make%20better%20decisions.\r\n* | ||
| 97 | ://www.harrisgeospatial.com/ProductsandTechnology/Software/ENVI.aspx", | 97 | ://www.harrisgeospatial.com/ProductsandTechnology/Software/ENVI.aspx", | ||
| 98 | "format": "JSON", | 98 | "format": "JSON", | ||
| 99 | "hash": "", | 99 | "hash": "", | ||
| 100 | "id": "d474eb42-093c-4dbd-939c-1c71345a598d", | 100 | "id": "d474eb42-093c-4dbd-939c-1c71345a598d", | ||
| 101 | "last_modified": "2025-02-27T21:53:37.864991", | 101 | "last_modified": "2025-02-27T21:53:37.864991", | ||
| 102 | "metadata_modified": "2025-02-27T22:35:31.492507", | 102 | "metadata_modified": "2025-02-27T22:35:31.492507", | ||
| 103 | "mimetype": "application/json", | 103 | "mimetype": "application/json", | ||
| 104 | "mimetype_inner": null, | 104 | "mimetype_inner": null, | ||
| 105 | "name": "ENVI", | 105 | "name": "ENVI", | ||
| 106 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 106 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
| 107 | "position": 1, | 107 | "position": 1, | ||
| 108 | "resource_type": null, | 108 | "resource_type": null, | ||
| 109 | "size": 12004, | 109 | "size": 12004, | ||
| 110 | "state": "active", | 110 | "state": "active", | ||
| 111 | "url": | 111 | "url": | ||
| 112 | eb42-093c-4dbd-939c-1c71345a598d/download/software-zyvsldz7pyza.json", | 112 | eb42-093c-4dbd-939c-1c71345a598d/download/software-zyvsldz7pyza.json", | ||
| 113 | "url_type": "upload" | 113 | "url_type": "upload" | ||
| 114 | }, | 114 | }, | ||
| 115 | { | 115 | { | ||
| 116 | "cache_last_updated": null, | 116 | "cache_last_updated": null, | ||
| 117 | "cache_url": null, | 117 | "cache_url": null, | ||
| 118 | "created": "2025-02-27T22:27:23.075761", | 118 | "created": "2025-02-27T22:27:23.075761", | ||
| 119 | "datastore_active": false, | 119 | "datastore_active": false, | ||
| 120 | "description": "ADCIRC is a system of computer programs for | 120 | "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, | ||
| 127 | dredging feasibility and material disposal studies ", | 127 | dredging feasibility and material disposal studies ", | ||
| 128 | "format": "", | 128 | "format": "", | ||
| 129 | "hash": "", | 129 | "hash": "", | ||
| 130 | "id": "fe0d3e82-499b-44e2-b0d0-c3d6c4c2a604", | 130 | "id": "fe0d3e82-499b-44e2-b0d0-c3d6c4c2a604", | ||
| 131 | "last_modified": null, | 131 | "last_modified": null, | ||
| 132 | "metadata_modified": "2025-02-27T22:28:18.425884", | 132 | "metadata_modified": "2025-02-27T22:28:18.425884", | ||
| 133 | "mimetype": null, | 133 | "mimetype": null, | ||
| 134 | "mimetype_inner": null, | 134 | "mimetype_inner": null, | ||
| 135 | "name": "ADCIRC ", | 135 | "name": "ADCIRC ", | ||
| 136 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 136 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
| 137 | "position": 2, | 137 | "position": 2, | ||
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| 139 | "size": null, | 139 | "size": null, | ||
| 140 | "state": "active", | 140 | "state": "active", | ||
| 141 | "url": | 141 | "url": | ||
| 142 | https://adcirc.org/home/documentation/users-manual-v50/introduction/", | 142 | https://adcirc.org/home/documentation/users-manual-v50/introduction/", | ||
| 143 | "url_type": null | 143 | "url_type": null | ||
| 144 | }, | 144 | }, | ||
| 145 | { | 145 | { | ||
| 146 | "cache_last_updated": null, | 146 | "cache_last_updated": null, | ||
| 147 | "cache_url": null, | 147 | "cache_url": null, | ||
| 148 | "created": "2025-02-27T22:28:18.435671", | 148 | "created": "2025-02-27T22:28:18.435671", | ||
| 149 | "datastore_active": false, | 149 | "datastore_active": false, | ||
| 150 | "description": "GipsyX is developed by the Jet Propulsion | 150 | "description": "GipsyX is developed by the Jet Propulsion | ||
| 151 | Laboratory (JPL), and maintained by the Near Earth Tracking | 151 | Laboratory (JPL), and maintained by the Near Earth Tracking | ||
| 152 | 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 | ||
| 154 | 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 | ||
| 158 | (geocenter and scale) and Earth rotation parameters", | 158 | (geocenter and scale) and Earth rotation parameters", | ||
| 159 | "format": "", | 159 | "format": "", | ||
| 160 | "hash": "", | 160 | "hash": "", | ||
| 161 | "id": "ed030660-d719-4e1d-a2d5-55895b197d44", | 161 | "id": "ed030660-d719-4e1d-a2d5-55895b197d44", | ||
| 162 | "last_modified": null, | 162 | "last_modified": null, | ||
| 163 | "metadata_modified": "2025-02-27T22:29:05.605732", | 163 | "metadata_modified": "2025-02-27T22:29:05.605732", | ||
| 164 | "mimetype": null, | 164 | "mimetype": null, | ||
| 165 | "mimetype_inner": null, | 165 | "mimetype_inner": null, | ||
| 166 | "name": "GipsyX V 1.7", | 166 | "name": "GipsyX V 1.7", | ||
| 167 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 167 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
| 168 | "position": 3, | 168 | "position": 3, | ||
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| 170 | "size": null, | 170 | "size": null, | ||
| 171 | "state": "active", | 171 | "state": "active", | ||
| 172 | "url": "https://gipsyx.jpl.nasa.gov/", | 172 | "url": "https://gipsyx.jpl.nasa.gov/", | ||
| 173 | "url_type": null | 173 | "url_type": null | ||
| 174 | }, | 174 | }, | ||
| 175 | { | 175 | { | ||
| 176 | "cache_last_updated": null, | 176 | "cache_last_updated": null, | ||
| 177 | "cache_url": null, | 177 | "cache_url": null, | ||
| 178 | "created": "2025-02-27T22:29:05.617718", | 178 | "created": "2025-02-27T22:29:05.617718", | ||
| 179 | "datastore_active": false, | 179 | "datastore_active": false, | ||
| 180 | "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": "", | 192 | "format": "", | ||
| 193 | "hash": "", | 193 | "hash": "", | ||
| 194 | "id": "e81c9898-1d2d-4981-9d7d-9c0f922e37bf", | 194 | "id": "e81c9898-1d2d-4981-9d7d-9c0f922e37bf", | ||
| 195 | "last_modified": null, | 195 | "last_modified": null, | ||
| 196 | "metadata_modified": "2025-02-27T22:30:12.565350", | 196 | "metadata_modified": "2025-02-27T22:30:12.565350", | ||
| 197 | "mimetype": null, | 197 | "mimetype": null, | ||
| 198 | "mimetype_inner": null, | 198 | "mimetype_inner": null, | ||
| 199 | "name": "HAZUS-MH", | 199 | "name": "HAZUS-MH", | ||
| 200 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 200 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
| 201 | "position": 4, | 201 | "position": 4, | ||
| 202 | "resource_type": null, | 202 | "resource_type": null, | ||
| 203 | "size": null, | 203 | "size": null, | ||
| 204 | "state": "active", | 204 | "state": "active", | ||
| 205 | "url": "https://toolkit.climate.gov/tool/hazus", | 205 | "url": "https://toolkit.climate.gov/tool/hazus", | ||
| 206 | "url_type": null | 206 | "url_type": null | ||
| 207 | }, | 207 | }, | ||
| 208 | { | 208 | { | ||
| 209 | "cache_last_updated": null, | 209 | "cache_last_updated": null, | ||
| 210 | "cache_url": null, | 210 | "cache_url": null, | ||
| 211 | "created": "2025-02-27T22:30:12.576225", | 211 | "created": "2025-02-27T22:30:12.576225", | ||
| 212 | "datastore_active": false, | 212 | "datastore_active": false, | ||
| 213 | "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.", | ||
| 217 | "format": "", | 217 | "format": "", | ||
| 218 | "hash": "", | 218 | "hash": "", | ||
| 219 | "id": "3a009b05-804e-4156-974d-7f5b15252c9d", | 219 | "id": "3a009b05-804e-4156-974d-7f5b15252c9d", | ||
| 220 | "last_modified": null, | 220 | "last_modified": null, | ||
| 221 | "metadata_modified": "2025-02-27T22:30:29.956170", | 221 | "metadata_modified": "2025-02-27T22:30:29.956170", | ||
| 222 | "mimetype": null, | 222 | "mimetype": null, | ||
| 223 | "mimetype_inner": null, | 223 | "mimetype_inner": null, | ||
| 224 | "name": "Hydro-MEM", | 224 | "name": "Hydro-MEM", | ||
| 225 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 225 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
| 226 | "position": 5, | 226 | "position": 5, | ||
| 227 | "resource_type": null, | 227 | "resource_type": null, | ||
| 228 | "size": null, | 228 | "size": null, | ||
| 229 | "state": "active", | 229 | "state": "active", | ||
| 230 | "url": | 230 | "url": | ||
| 231 | "https://www.sciencedirect.com/science/article/pii/S0304380016300011", | 231 | "https://www.sciencedirect.com/science/article/pii/S0304380016300011", | ||
| 232 | "url_type": null | 232 | "url_type": null | ||
| 233 | }, | 233 | }, | ||
| 234 | { | 234 | { | ||
| 235 | "cache_last_updated": null, | 235 | "cache_last_updated": null, | ||
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| 237 | "created": "2025-02-27T22:31:58.020971", | 237 | "created": "2025-02-27T22:31:58.020971", | ||
| 238 | "datastore_active": false, | 238 | "datastore_active": false, | ||
| 239 | "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": "", | 248 | "format": "", | ||
| 249 | "hash": "", | 249 | "hash": "", | ||
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| 255 | "name": "FORE-SCE", | 255 | "name": "FORE-SCE", | ||
| 256 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 256 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
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| 261 | "url": | 261 | "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", | ||
| 263 | "url_type": null | 263 | "url_type": null | ||
| 264 | }, | 264 | }, | ||
| 265 | { | 265 | { | ||
| 266 | "cache_last_updated": null, | 266 | "cache_last_updated": null, | ||
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| 269 | "datastore_active": false, | 269 | "datastore_active": false, | ||
| 270 | "description": "preeminent groundwater modeling software issued | 270 | "description": "preeminent groundwater modeling software issued | ||
| 271 | by USGS ", | 271 | by USGS ", | ||
| 272 | "format": "", | 272 | "format": "", | ||
| 273 | "hash": "", | 273 | "hash": "", | ||
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| 277 | "mimetype": null, | 277 | "mimetype": null, | ||
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| 279 | "name": "MODFLOW6", | 279 | "name": "MODFLOW6", | ||
| 280 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 280 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
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| 285 | "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", | ||
| 287 | "url_type": null | 287 | "url_type": null | ||
| 288 | }, | 288 | }, | ||
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| 293 | "datastore_active": false, | 293 | "datastore_active": false, | ||
| 294 | "description": "Started in April 2021, the Observational | 294 | "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": "", | 303 | "format": "", | ||
| 304 | "hash": "", | 304 | "hash": "", | ||
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| 310 | "name": "OPERA", | 310 | "name": "OPERA", | ||
| 311 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 311 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
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| 316 | "url": "https://www.jpl.nasa.gov/go/opera/", | 316 | "url": "https://www.jpl.nasa.gov/go/opera/", | ||
| 317 | "url_type": null | 317 | "url_type": null | ||
| 318 | }, | 318 | }, | ||
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| 323 | "datastore_active": false, | 323 | "datastore_active": false, | ||
| 324 | "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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| 338 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | 338 | "package_id": "981b0934-25ad-4b45-86e7-63460b8d4247", | ||
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| 342 | "state": "active", | 342 | "state": "active", | ||
| 343 | "url": "https://pesthomepage.org/pest", | 343 | "url": "https://pesthomepage.org/pest", | ||
| 344 | "url_type": null | 344 | "url_type": null | ||
| 345 | }, | 345 | }, | ||
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| 351 | "description": "A multi-layer data visualization tool for | 351 | "description": "A multi-layer data visualization tool for | ||
| 352 | monitoring and understanding groundwater data across the state of | 352 | monitoring and understanding groundwater data across the state of | ||
| 353 | California. ", | 353 | California. ", | ||
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| 377 | permanent scatter and differential InSAR data, proprietary to TRE | ||||
| 378 | ALTAMIRA ", | ||||
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