Changes
On December 16, 2024 at 5:27:07 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Internal Dataset -
Changed value of field
doi_date_published
to2024-12-16
in Internal Dataset -
Added resource Original Metadata to Internal Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yuwen Xiong", | 3 | "author": "Yuwen Xiong", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2106.15153" | 6 | "https://doi.org/10.48550/arXiv.2106.15153" | ||
7 | ], | 7 | ], | ||
8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
9 | "defined_in": "https://doi.org/10.48550/arXiv.2311.02738", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2311.02738", | ||
10 | "doi": "10.57702/diz4krhq", | 10 | "doi": "10.57702/diz4krhq", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-16", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
n | 13 | "doi_status": false, | n | 13 | "doi_status": true, |
14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Renjie Liao", | 17 | "extra_author": "Renjie Liao", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Hengshuang Zhao", | 21 | "extra_author": "Hengshuang Zhao", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Ersin Yumer", | 25 | "extra_author": "Ersin Yumer", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Raquel Urtasun", | 29 | "extra_author": "Raquel Urtasun", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "extra_author": "Rui Hu", | 33 | "extra_author": "Rui Hu", | ||
34 | "orcid": "" | 34 | "orcid": "" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "extra_author": "Min Bai", | 37 | "extra_author": "Min Bai", | ||
38 | "orcid": "" | 38 | "orcid": "" | ||
39 | } | 39 | } | ||
40 | ], | 40 | ], | ||
41 | "groups": [ | 41 | "groups": [ | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Age-related Macular Degeneration", | 44 | "display_name": "Age-related Macular Degeneration", | ||
45 | "id": "09a1df9f-4fff-4c51-89b5-b3d6add1ce1a", | 45 | "id": "09a1df9f-4fff-4c51-89b5-b3d6add1ce1a", | ||
46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "age-related-macular-degeneration", | 47 | "name": "age-related-macular-degeneration", | ||
48 | "title": "Age-related Macular Degeneration" | 48 | "title": "Age-related Macular Degeneration" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "description": "", | 51 | "description": "", | ||
52 | "display_name": "Driving Scenarios", | 52 | "display_name": "Driving Scenarios", | ||
53 | "id": "801af0d8-3459-4496-9802-22a39138211c", | 53 | "id": "801af0d8-3459-4496-9802-22a39138211c", | ||
54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "driving-scenarios", | 55 | "name": "driving-scenarios", | ||
56 | "title": "Driving Scenarios" | 56 | "title": "Driving Scenarios" | ||
57 | }, | 57 | }, | ||
58 | { | 58 | { | ||
59 | "description": "", | 59 | "description": "", | ||
60 | "display_name": "Image Segmentation", | 60 | "display_name": "Image Segmentation", | ||
61 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | 61 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | ||
62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
63 | "name": "image-segmentation", | 63 | "name": "image-segmentation", | ||
64 | "title": "Image Segmentation" | 64 | "title": "Image Segmentation" | ||
65 | }, | 65 | }, | ||
66 | { | 66 | { | ||
67 | "description": "", | 67 | "description": "", | ||
68 | "display_name": "Object Detection", | 68 | "display_name": "Object Detection", | ||
69 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 69 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
71 | "name": "object-detection", | 71 | "name": "object-detection", | ||
72 | "title": "Object Detection" | 72 | "title": "Object Detection" | ||
73 | }, | 73 | }, | ||
74 | { | 74 | { | ||
75 | "description": "", | 75 | "description": "", | ||
76 | "display_name": "Optical Coherence Tomography", | 76 | "display_name": "Optical Coherence Tomography", | ||
77 | "id": "ad46cc4e-219a-4e5e-95d1-0b6b63321392", | 77 | "id": "ad46cc4e-219a-4e5e-95d1-0b6b63321392", | ||
78 | "image_display_url": "", | 78 | "image_display_url": "", | ||
79 | "name": "optical-coherence-tomography", | 79 | "name": "optical-coherence-tomography", | ||
80 | "title": "Optical Coherence Tomography" | 80 | "title": "Optical Coherence Tomography" | ||
81 | }, | 81 | }, | ||
82 | { | 82 | { | ||
83 | "description": "", | 83 | "description": "", | ||
84 | "display_name": "Real-World Data", | 84 | "display_name": "Real-World Data", | ||
85 | "id": "5974ab06-8d1c-46ed-a6c0-4cb4ff5bd30c", | 85 | "id": "5974ab06-8d1c-46ed-a6c0-4cb4ff5bd30c", | ||
86 | "image_display_url": "", | 86 | "image_display_url": "", | ||
87 | "name": "real-world-data", | 87 | "name": "real-world-data", | ||
88 | "title": "Real-World Data" | 88 | "title": "Real-World Data" | ||
89 | }, | 89 | }, | ||
90 | { | 90 | { | ||
91 | "description": "", | 91 | "description": "", | ||
92 | "display_name": "Speech Synthesis", | 92 | "display_name": "Speech Synthesis", | ||
93 | "id": "3b8f8411-cbd1-410f-92f8-5ecbc4095d46", | 93 | "id": "3b8f8411-cbd1-410f-92f8-5ecbc4095d46", | ||
94 | "image_display_url": "", | 94 | "image_display_url": "", | ||
95 | "name": "speech-synthesis", | 95 | "name": "speech-synthesis", | ||
96 | "title": "Speech Synthesis" | 96 | "title": "Speech Synthesis" | ||
97 | } | 97 | } | ||
98 | ], | 98 | ], | ||
99 | "id": "89e37f79-63ab-4fa0-a264-16041a6a3a02", | 99 | "id": "89e37f79-63ab-4fa0-a264-16041a6a3a02", | ||
100 | "isopen": false, | 100 | "isopen": false, | ||
101 | "landing_page": "https://github.com/uber-research/UPSNet", | 101 | "landing_page": "https://github.com/uber-research/UPSNet", | ||
102 | "license_title": null, | 102 | "license_title": null, | ||
103 | "link_orkg": "", | 103 | "link_orkg": "", | ||
104 | "metadata_created": "2024-12-16T17:27:06.195637", | 104 | "metadata_created": "2024-12-16T17:27:06.195637", | ||
n | 105 | "metadata_modified": "2024-12-16T17:27:06.195644", | n | 105 | "metadata_modified": "2024-12-16T17:27:06.858191", |
106 | "name": "internal-dataset", | 106 | "name": "internal-dataset", | ||
107 | "notes": "The internal dataset contains 6 million real-world driving | 107 | "notes": "The internal dataset contains 6 million real-world driving | ||
108 | scenarios from Las Vegas (LV), Seattle (SEA), San Francisco (SF), and | 108 | scenarios from Las Vegas (LV), Seattle (SEA), San Francisco (SF), and | ||
109 | the campus of the Stanford Linear Accelerator Center (SLAC).", | 109 | the campus of the Stanford Linear Accelerator Center (SLAC).", | ||
n | 110 | "num_resources": 0, | n | 110 | "num_resources": 1, |
111 | "num_tags": 12, | 111 | "num_tags": 12, | ||
112 | "organization": { | 112 | "organization": { | ||
113 | "approval_status": "approved", | 113 | "approval_status": "approved", | ||
114 | "created": "2024-11-25T12:11:38.292601", | 114 | "created": "2024-11-25T12:11:38.292601", | ||
115 | "description": "", | 115 | "description": "", | ||
116 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 116 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
117 | "image_url": "", | 117 | "image_url": "", | ||
118 | "is_organization": true, | 118 | "is_organization": true, | ||
119 | "name": "no-organization", | 119 | "name": "no-organization", | ||
120 | "state": "active", | 120 | "state": "active", | ||
121 | "title": "No Organization", | 121 | "title": "No Organization", | ||
122 | "type": "organization" | 122 | "type": "organization" | ||
123 | }, | 123 | }, | ||
124 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 124 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
125 | "private": false, | 125 | "private": false, | ||
126 | "relationships_as_object": [], | 126 | "relationships_as_object": [], | ||
127 | "relationships_as_subject": [], | 127 | "relationships_as_subject": [], | ||
t | 128 | "resources": [], | t | 128 | "resources": [ |
129 | { | ||||
130 | "cache_last_updated": null, | ||||
131 | "cache_url": null, | ||||
132 | "created": "2024-12-16T18:25:28", | ||||
133 | "data": [ | ||||
134 | "dcterms:title", | ||||
135 | "dcterms:accessRights", | ||||
136 | "dcterms:creator", | ||||
137 | "dcterms:description", | ||||
138 | "dcterms:issued", | ||||
139 | "dcterms:language", | ||||
140 | "dcterms:identifier", | ||||
141 | "dcat:theme", | ||||
142 | "dcterms:type", | ||||
143 | "dcat:keyword", | ||||
144 | "dcat:landingPage", | ||||
145 | "dcterms:hasVersion", | ||||
146 | "dcterms:format", | ||||
147 | "mls:task", | ||||
148 | "datacite:isDescribedBy" | ||||
149 | ], | ||||
150 | "description": "The json representation of the dataset with its | ||||
151 | distributions based on DCAT.", | ||||
152 | "format": "JSON", | ||||
153 | "hash": "", | ||||
154 | "id": "c60a77fd-c119-4778-83c2-414b93b16337", | ||||
155 | "last_modified": "2024-12-16T17:27:06.848882", | ||||
156 | "metadata_modified": "2024-12-16T17:27:06.861096", | ||||
157 | "mimetype": "application/json", | ||||
158 | "mimetype_inner": null, | ||||
159 | "name": "Original Metadata", | ||||
160 | "package_id": "89e37f79-63ab-4fa0-a264-16041a6a3a02", | ||||
161 | "position": 0, | ||||
162 | "resource_type": null, | ||||
163 | "size": 1328, | ||||
164 | "state": "active", | ||||
165 | "url": | ||||
166 | resource/c60a77fd-c119-4778-83c2-414b93b16337/download/metadata.json", | ||||
167 | "url_type": "upload" | ||||
168 | } | ||||
169 | ], | ||||
129 | "services_used_list": "", | 170 | "services_used_list": "", | ||
130 | "state": "active", | 171 | "state": "active", | ||
131 | "tags": [ | 172 | "tags": [ | ||
132 | { | 173 | { | ||
133 | "display_name": "AMD patients", | 174 | "display_name": "AMD patients", | ||
134 | "id": "dd748a76-ee35-4f75-824e-e0d7172486c3", | 175 | "id": "dd748a76-ee35-4f75-824e-e0d7172486c3", | ||
135 | "name": "AMD patients", | 176 | "name": "AMD patients", | ||
136 | "state": "active", | 177 | "state": "active", | ||
137 | "vocabulary_id": null | 178 | "vocabulary_id": null | ||
138 | }, | 179 | }, | ||
139 | { | 180 | { | ||
140 | "display_name": "Korean", | 181 | "display_name": "Korean", | ||
141 | "id": "19f30851-47c6-4928-a607-8a92e6028974", | 182 | "id": "19f30851-47c6-4928-a607-8a92e6028974", | ||
142 | "name": "Korean", | 183 | "name": "Korean", | ||
143 | "state": "active", | 184 | "state": "active", | ||
144 | "vocabulary_id": null | 185 | "vocabulary_id": null | ||
145 | }, | 186 | }, | ||
146 | { | 187 | { | ||
147 | "display_name": "Multi-Speaker", | 188 | "display_name": "Multi-Speaker", | ||
148 | "id": "978363a9-0866-4610-b686-8cd47265c7e4", | 189 | "id": "978363a9-0866-4610-b686-8cd47265c7e4", | ||
149 | "name": "Multi-Speaker", | 190 | "name": "Multi-Speaker", | ||
150 | "state": "active", | 191 | "state": "active", | ||
151 | "vocabulary_id": null | 192 | "vocabulary_id": null | ||
152 | }, | 193 | }, | ||
153 | { | 194 | { | ||
154 | "display_name": "Speech Synthesis", | 195 | "display_name": "Speech Synthesis", | ||
155 | "id": "b648c916-18f5-4a18-9e4e-22bd013ac34b", | 196 | "id": "b648c916-18f5-4a18-9e4e-22bd013ac34b", | ||
156 | "name": "Speech Synthesis", | 197 | "name": "Speech Synthesis", | ||
157 | "state": "active", | 198 | "state": "active", | ||
158 | "vocabulary_id": null | 199 | "vocabulary_id": null | ||
159 | }, | 200 | }, | ||
160 | { | 201 | { | ||
161 | "display_name": "driving scenarios", | 202 | "display_name": "driving scenarios", | ||
162 | "id": "bfae5183-e39a-4aa5-835a-bb109f488175", | 203 | "id": "bfae5183-e39a-4aa5-835a-bb109f488175", | ||
163 | "name": "driving scenarios", | 204 | "name": "driving scenarios", | ||
164 | "state": "active", | 205 | "state": "active", | ||
165 | "vocabulary_id": null | 206 | "vocabulary_id": null | ||
166 | }, | 207 | }, | ||
167 | { | 208 | { | ||
168 | "display_name": "ego-centric driving scenarios", | 209 | "display_name": "ego-centric driving scenarios", | ||
169 | "id": "ff1f6397-9704-4c44-8686-45f53d35e21a", | 210 | "id": "ff1f6397-9704-4c44-8686-45f53d35e21a", | ||
170 | "name": "ego-centric driving scenarios", | 211 | "name": "ego-centric driving scenarios", | ||
171 | "state": "active", | 212 | "state": "active", | ||
172 | "vocabulary_id": null | 213 | "vocabulary_id": null | ||
173 | }, | 214 | }, | ||
174 | { | 215 | { | ||
175 | "display_name": "geographical regions", | 216 | "display_name": "geographical regions", | ||
176 | "id": "5ed8376c-310b-4b62-9759-f8f51b1f28a6", | 217 | "id": "5ed8376c-310b-4b62-9759-f8f51b1f28a6", | ||
177 | "name": "geographical regions", | 218 | "name": "geographical regions", | ||
178 | "state": "active", | 219 | "state": "active", | ||
179 | "vocabulary_id": null | 220 | "vocabulary_id": null | ||
180 | }, | 221 | }, | ||
181 | { | 222 | { | ||
182 | "display_name": "instance segmentation", | 223 | "display_name": "instance segmentation", | ||
183 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | 224 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | ||
184 | "name": "instance segmentation", | 225 | "name": "instance segmentation", | ||
185 | "state": "active", | 226 | "state": "active", | ||
186 | "vocabulary_id": null | 227 | "vocabulary_id": null | ||
187 | }, | 228 | }, | ||
188 | { | 229 | { | ||
189 | "display_name": "real-world data", | 230 | "display_name": "real-world data", | ||
190 | "id": "aca51554-c3c5-44d6-8603-8e3c2bf7034e", | 231 | "id": "aca51554-c3c5-44d6-8603-8e3c2bf7034e", | ||
191 | "name": "real-world data", | 232 | "name": "real-world data", | ||
192 | "state": "active", | 233 | "state": "active", | ||
193 | "vocabulary_id": null | 234 | "vocabulary_id": null | ||
194 | }, | 235 | }, | ||
195 | { | 236 | { | ||
196 | "display_name": "retinal OCT imaging", | 237 | "display_name": "retinal OCT imaging", | ||
197 | "id": "5b5f97db-fbd0-4009-96bf-01a9629f9330", | 238 | "id": "5b5f97db-fbd0-4009-96bf-01a9629f9330", | ||
198 | "name": "retinal OCT imaging", | 239 | "name": "retinal OCT imaging", | ||
199 | "state": "active", | 240 | "state": "active", | ||
200 | "vocabulary_id": null | 241 | "vocabulary_id": null | ||
201 | }, | 242 | }, | ||
202 | { | 243 | { | ||
203 | "display_name": "semantic segmentation", | 244 | "display_name": "semantic segmentation", | ||
204 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 245 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
205 | "name": "semantic segmentation", | 246 | "name": "semantic segmentation", | ||
206 | "state": "active", | 247 | "state": "active", | ||
207 | "vocabulary_id": null | 248 | "vocabulary_id": null | ||
208 | }, | 249 | }, | ||
209 | { | 250 | { | ||
210 | "display_name": "volumetric OCT scans", | 251 | "display_name": "volumetric OCT scans", | ||
211 | "id": "e3645dd3-3a3d-48c8-9c85-9e9f144f9bbd", | 252 | "id": "e3645dd3-3a3d-48c8-9c85-9e9f144f9bbd", | ||
212 | "name": "volumetric OCT scans", | 253 | "name": "volumetric OCT scans", | ||
213 | "state": "active", | 254 | "state": "active", | ||
214 | "vocabulary_id": null | 255 | "vocabulary_id": null | ||
215 | } | 256 | } | ||
216 | ], | 257 | ], | ||
217 | "title": "Internal Dataset", | 258 | "title": "Internal Dataset", | ||
218 | "type": "dataset", | 259 | "type": "dataset", | ||
219 | "version": "" | 260 | "version": "" | ||
220 | } | 261 | } |