Changes
On December 2, 2024 at 6:08:48 PM UTC,
admin:
-
Changed value of field
doi_status
toTrue
in LoveDA -
Changed value of field
doi_date_published
to2024-12-02
in LoveDA -
Added resource Original Metadata to LoveDA
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Edoardo Arnaudo", | 3 | "author": "Edoardo Arnaudo", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.2401.04412", | 6 | "https://doi.org/10.48550/arXiv.2401.04412", | ||
| 7 | "https://doi.org/10.48550/arXiv.2401.04403" | 7 | "https://doi.org/10.48550/arXiv.2401.04403" | ||
| 8 | ], | 8 | ], | ||
| 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 10 | "defined_in": "https://doi.org/10.48550/arXiv.2210.06216", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.2210.06216", | ||
| 11 | "doi": "10.57702/6e5x4g3y", | 11 | "doi": "10.57702/6e5x4g3y", | ||
| n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-02", |
| 13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
| n | 14 | "doi_status": false, | n | 14 | "doi_status": true, |
| 15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
| 16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
| 17 | { | 17 | { | ||
| 18 | "extra_author": "Antonio Tavera", | 18 | "extra_author": "Antonio Tavera", | ||
| 19 | "orcid": "" | 19 | "orcid": "" | ||
| 20 | }, | 20 | }, | ||
| 21 | { | 21 | { | ||
| 22 | "extra_author": "Fabrizio Dominici", | 22 | "extra_author": "Fabrizio Dominici", | ||
| 23 | "orcid": "" | 23 | "orcid": "" | ||
| 24 | }, | 24 | }, | ||
| 25 | { | 25 | { | ||
| 26 | "extra_author": "Carlo Masone", | 26 | "extra_author": "Carlo Masone", | ||
| 27 | "orcid": "" | 27 | "orcid": "" | ||
| 28 | }, | 28 | }, | ||
| 29 | { | 29 | { | ||
| 30 | "extra_author": "Barbara Caputo", | 30 | "extra_author": "Barbara Caputo", | ||
| 31 | "orcid": "" | 31 | "orcid": "" | ||
| 32 | } | 32 | } | ||
| 33 | ], | 33 | ], | ||
| 34 | "groups": [ | 34 | "groups": [ | ||
| 35 | { | 35 | { | ||
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| 39 | "image_display_url": "", | 39 | "image_display_url": "", | ||
| 40 | "name": "image-segmentation", | 40 | "name": "image-segmentation", | ||
| 41 | "title": "Image Segmentation" | 41 | "title": "Image Segmentation" | ||
| 42 | }, | 42 | }, | ||
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| 44 | "description": "", | 44 | "description": "", | ||
| 45 | "display_name": "Land Cover", | 45 | "display_name": "Land Cover", | ||
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| 47 | "image_display_url": "", | 47 | "image_display_url": "", | ||
| 48 | "name": "land-cover", | 48 | "name": "land-cover", | ||
| 49 | "title": "Land Cover" | 49 | "title": "Land Cover" | ||
| 50 | }, | 50 | }, | ||
| 51 | { | 51 | { | ||
| 52 | "description": "", | 52 | "description": "", | ||
| 53 | "display_name": "Remote Sensing", | 53 | "display_name": "Remote Sensing", | ||
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| 55 | "image_display_url": "", | 55 | "image_display_url": "", | ||
| 56 | "name": "remote-sensing", | 56 | "name": "remote-sensing", | ||
| 57 | "title": "Remote Sensing" | 57 | "title": "Remote Sensing" | ||
| 58 | }, | 58 | }, | ||
| 59 | { | 59 | { | ||
| 60 | "description": "", | 60 | "description": "", | ||
| 61 | "display_name": "Remote Sensing Image Segmentation", | 61 | "display_name": "Remote Sensing Image Segmentation", | ||
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| 63 | "image_display_url": "", | 63 | "image_display_url": "", | ||
| 64 | "name": "remote-sensing-image-segmentation", | 64 | "name": "remote-sensing-image-segmentation", | ||
| 65 | "title": "Remote Sensing Image Segmentation" | 65 | "title": "Remote Sensing Image Segmentation" | ||
| 66 | }, | 66 | }, | ||
| 67 | { | 67 | { | ||
| 68 | "description": "", | 68 | "description": "", | ||
| 69 | "display_name": "Semantic Segmentation", | 69 | "display_name": "Semantic Segmentation", | ||
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| 71 | "image_display_url": "", | 71 | "image_display_url": "", | ||
| 72 | "name": "semantic-segmentation", | 72 | "name": "semantic-segmentation", | ||
| 73 | "title": "Semantic Segmentation" | 73 | "title": "Semantic Segmentation" | ||
| 74 | } | 74 | } | ||
| 75 | ], | 75 | ], | ||
| 76 | "id": "97904887-cfec-4404-b386-22629a3bdfe0", | 76 | "id": "97904887-cfec-4404-b386-22629a3bdfe0", | ||
| 77 | "isopen": false, | 77 | "isopen": false, | ||
| 78 | "landing_page": "https://arxiv.org/abs/2108.03557", | 78 | "landing_page": "https://arxiv.org/abs/2108.03557", | ||
| 79 | "license_title": null, | 79 | "license_title": null, | ||
| 80 | "link_orkg": "", | 80 | "link_orkg": "", | ||
| 81 | "metadata_created": "2024-12-02T18:08:47.033038", | 81 | "metadata_created": "2024-12-02T18:08:47.033038", | ||
| n | 82 | "metadata_modified": "2024-12-02T18:08:47.033044", | n | 82 | "metadata_modified": "2024-12-02T18:08:47.404129", |
| 83 | "name": "loveda", | 83 | "name": "loveda", | ||
| 84 | "notes": "The LoveDA dataset contains high-spatial-resolution images | 84 | "notes": "The LoveDA dataset contains high-spatial-resolution images | ||
| 85 | from three different cities, focusing on improving the generalization | 85 | from three different cities, focusing on improving the generalization | ||
| 86 | capability of model from different urban and rural scenes.", | 86 | capability of model from different urban and rural scenes.", | ||
| n | 87 | "num_resources": 0, | n | 87 | "num_resources": 1, |
| 88 | "num_tags": 13, | 88 | "num_tags": 13, | ||
| 89 | "organization": { | 89 | "organization": { | ||
| 90 | "approval_status": "approved", | 90 | "approval_status": "approved", | ||
| 91 | "created": "2024-11-25T12:11:38.292601", | 91 | "created": "2024-11-25T12:11:38.292601", | ||
| 92 | "description": "", | 92 | "description": "", | ||
| 93 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 93 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 94 | "image_url": "", | 94 | "image_url": "", | ||
| 95 | "is_organization": true, | 95 | "is_organization": true, | ||
| 96 | "name": "no-organization", | 96 | "name": "no-organization", | ||
| 97 | "state": "active", | 97 | "state": "active", | ||
| 98 | "title": "No Organization", | 98 | "title": "No Organization", | ||
| 99 | "type": "organization" | 99 | "type": "organization" | ||
| 100 | }, | 100 | }, | ||
| 101 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 101 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 102 | "private": false, | 102 | "private": false, | ||
| 103 | "relationships_as_object": [], | 103 | "relationships_as_object": [], | ||
| 104 | "relationships_as_subject": [], | 104 | "relationships_as_subject": [], | ||
| t | 105 | "resources": [], | t | 105 | "resources": [ |
| 106 | { | ||||
| 107 | "cache_last_updated": null, | ||||
| 108 | "cache_url": null, | ||||
| 109 | "created": "2024-12-02T18:38:42", | ||||
| 110 | "data": [ | ||||
| 111 | "dcterms:title", | ||||
| 112 | "dcterms:accessRights", | ||||
| 113 | "dcterms:creator", | ||||
| 114 | "dcterms:description", | ||||
| 115 | "dcterms:issued", | ||||
| 116 | "dcterms:language", | ||||
| 117 | "dcterms:identifier", | ||||
| 118 | "dcat:theme", | ||||
| 119 | "dcterms:type", | ||||
| 120 | "dcat:keyword", | ||||
| 121 | "dcat:landingPage", | ||||
| 122 | "dcterms:hasVersion", | ||||
| 123 | "dcterms:format", | ||||
| 124 | "mls:task", | ||||
| 125 | "datacite:isDescribedBy" | ||||
| 126 | ], | ||||
| 127 | "description": "The json representation of the dataset with its | ||||
| 128 | distributions based on DCAT.", | ||||
| 129 | "format": "JSON", | ||||
| 130 | "hash": "", | ||||
| 131 | "id": "c4a62a30-1b81-4f76-8d76-48da737432db", | ||||
| 132 | "last_modified": "2024-12-02T18:08:47.395664", | ||||
| 133 | "metadata_modified": "2024-12-02T18:08:47.407017", | ||||
| 134 | "mimetype": "application/json", | ||||
| 135 | "mimetype_inner": null, | ||||
| 136 | "name": "Original Metadata", | ||||
| 137 | "package_id": "97904887-cfec-4404-b386-22629a3bdfe0", | ||||
| 138 | "position": 0, | ||||
| 139 | "resource_type": null, | ||||
| 140 | "size": 1306, | ||||
| 141 | "state": "active", | ||||
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| 143 | resource/c4a62a30-1b81-4f76-8d76-48da737432db/download/metadata.json", | ||||
| 144 | "url_type": "upload" | ||||
| 145 | } | ||||
| 146 | ], | ||||
| 106 | "services_used_list": "", | 147 | "services_used_list": "", | ||
| 107 | "state": "active", | 148 | "state": "active", | ||
| 108 | "tags": [ | 149 | "tags": [ | ||
| 109 | { | 150 | { | ||
| 110 | "display_name": "Building Extraction", | 151 | "display_name": "Building Extraction", | ||
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| 112 | "name": "Building Extraction", | 153 | "name": "Building Extraction", | ||
| 113 | "state": "active", | 154 | "state": "active", | ||
| 114 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
| 115 | }, | 156 | }, | ||
| 116 | { | 157 | { | ||
| 117 | "display_name": "Domain adaptation", | 158 | "display_name": "Domain adaptation", | ||
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| 119 | "name": "Domain adaptation", | 160 | "name": "Domain adaptation", | ||
| 120 | "state": "active", | 161 | "state": "active", | ||
| 121 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
| 122 | }, | 163 | }, | ||
| 123 | { | 164 | { | ||
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| 126 | "name": "Image Segmentation", | 167 | "name": "Image Segmentation", | ||
| 127 | "state": "active", | 168 | "state": "active", | ||
| 128 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
| 129 | }, | 170 | }, | ||
| 130 | { | 171 | { | ||
| 131 | "display_name": "Image segmentation", | 172 | "display_name": "Image segmentation", | ||
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| 133 | "name": "Image segmentation", | 174 | "name": "Image segmentation", | ||
| 134 | "state": "active", | 175 | "state": "active", | ||
| 135 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
| 136 | }, | 177 | }, | ||
| 137 | { | 178 | { | ||
| 138 | "display_name": "LoveDA", | 179 | "display_name": "LoveDA", | ||
| 139 | "id": "3be3171e-5d40-4f7f-a025-394f05d6e5dc", | 180 | "id": "3be3171e-5d40-4f7f-a025-394f05d6e5dc", | ||
| 140 | "name": "LoveDA", | 181 | "name": "LoveDA", | ||
| 141 | "state": "active", | 182 | "state": "active", | ||
| 142 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
| 143 | }, | 184 | }, | ||
| 144 | { | 185 | { | ||
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| 147 | "name": "RGB Imagery", | 188 | "name": "RGB Imagery", | ||
| 148 | "state": "active", | 189 | "state": "active", | ||
| 149 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
| 150 | }, | 191 | }, | ||
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| 156 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
| 157 | }, | 198 | }, | ||
| 158 | { | 199 | { | ||
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| 162 | "state": "active", | 203 | "state": "active", | ||
| 163 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
| 164 | }, | 205 | }, | ||
| 165 | { | 206 | { | ||
| 166 | "display_name": "Road Extraction", | 207 | "display_name": "Road Extraction", | ||
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| 168 | "name": "Road Extraction", | 209 | "name": "Road Extraction", | ||
| 169 | "state": "active", | 210 | "state": "active", | ||
| 170 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
| 171 | }, | 212 | }, | ||
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| 175 | "name": "Semantic Segmentation", | 216 | "name": "Semantic Segmentation", | ||
| 176 | "state": "active", | 217 | "state": "active", | ||
| 177 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
| 178 | }, | 219 | }, | ||
| 179 | { | 220 | { | ||
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| 182 | "name": "land cover", | 223 | "name": "land cover", | ||
| 183 | "state": "active", | 224 | "state": "active", | ||
| 184 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
| 185 | }, | 226 | }, | ||
| 186 | { | 227 | { | ||
| 187 | "display_name": "remote sensing", | 228 | "display_name": "remote sensing", | ||
| 188 | "id": "29f44062-0264-4c36-990e-3843d3611d12", | 229 | "id": "29f44062-0264-4c36-990e-3843d3611d12", | ||
| 189 | "name": "remote sensing", | 230 | "name": "remote sensing", | ||
| 190 | "state": "active", | 231 | "state": "active", | ||
| 191 | "vocabulary_id": null | 232 | "vocabulary_id": null | ||
| 192 | }, | 233 | }, | ||
| 193 | { | 234 | { | ||
| 194 | "display_name": "semantic segmentation", | 235 | "display_name": "semantic segmentation", | ||
| 195 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 236 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
| 196 | "name": "semantic segmentation", | 237 | "name": "semantic segmentation", | ||
| 197 | "state": "active", | 238 | "state": "active", | ||
| 198 | "vocabulary_id": null | 239 | "vocabulary_id": null | ||
| 199 | } | 240 | } | ||
| 200 | ], | 241 | ], | ||
| 201 | "title": "LoveDA", | 242 | "title": "LoveDA", | ||
| 202 | "type": "dataset", | 243 | "type": "dataset", | ||
| 203 | "version": "" | 244 | "version": "" | ||
| 204 | } | 245 | } |