Changes
On December 3, 2024 at 9:39:58 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in ETH -
Changed value of field
doi_date_published
to2024-12-03
in ETH -
Added resource Original Metadata to ETH
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Suyi Chen", | 3 | "author": "Suyi Chen", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1911.00193", | 6 | "https://doi.org/10.48550/arXiv.1911.00193", | ||
7 | "https://doi.org/10.48550/arXiv.1803.10892", | 7 | "https://doi.org/10.48550/arXiv.1803.10892", | ||
8 | "https://doi.org/10.48550/arXiv.2101.10595", | 8 | "https://doi.org/10.48550/arXiv.2101.10595", | ||
9 | "https://doi.org/10.48550/arXiv.2202.03954", | 9 | "https://doi.org/10.48550/arXiv.2202.03954", | ||
10 | "https://doi.org/10.48550/arXiv.2004.09760", | 10 | "https://doi.org/10.48550/arXiv.2004.09760", | ||
11 | "https://doi.org/10.1109/TPAMI.2022.3175371" | 11 | "https://doi.org/10.1109/TPAMI.2022.3175371" | ||
12 | ], | 12 | ], | ||
13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
14 | "defined_in": "https://doi.org/10.48550/arXiv.2010.01114", | 14 | "defined_in": "https://doi.org/10.48550/arXiv.2010.01114", | ||
15 | "doi": "10.57702/vej02xmz", | 15 | "doi": "10.57702/vej02xmz", | ||
n | 16 | "doi_date_published": null, | n | 16 | "doi_date_published": "2024-12-03", |
17 | "doi_publisher": "TIB", | 17 | "doi_publisher": "TIB", | ||
n | 18 | "doi_status": false, | n | 18 | "doi_status": true, |
19 | "domain": "https://service.tib.eu/ldmservice", | 19 | "domain": "https://service.tib.eu/ldmservice", | ||
20 | "extra_authors": [ | 20 | "extra_authors": [ | ||
21 | { | 21 | { | ||
22 | "extra_author": "Hao Xu", | 22 | "extra_author": "Hao Xu", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "extra_author": "Haipeng Li", | 26 | "extra_author": "Haipeng Li", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "extra_author": "Kunming Luo", | 30 | "extra_author": "Kunming Luo", | ||
31 | "orcid": "" | 31 | "orcid": "" | ||
32 | }, | 32 | }, | ||
33 | { | 33 | { | ||
34 | "extra_author": "Guanghui Liu", | 34 | "extra_author": "Guanghui Liu", | ||
35 | "orcid": "" | 35 | "orcid": "" | ||
36 | }, | 36 | }, | ||
37 | { | 37 | { | ||
38 | "extra_author": "Chi-Wing Fu", | 38 | "extra_author": "Chi-Wing Fu", | ||
39 | "orcid": "" | 39 | "orcid": "" | ||
40 | }, | 40 | }, | ||
41 | { | 41 | { | ||
42 | "extra_author": "Ping Tan", | 42 | "extra_author": "Ping Tan", | ||
43 | "orcid": "" | 43 | "orcid": "" | ||
44 | }, | 44 | }, | ||
45 | { | 45 | { | ||
46 | "extra_author": "Shuaicheng Liu", | 46 | "extra_author": "Shuaicheng Liu", | ||
47 | "orcid": "" | 47 | "orcid": "" | ||
48 | } | 48 | } | ||
49 | ], | 49 | ], | ||
50 | "groups": [ | 50 | "groups": [ | ||
51 | { | 51 | { | ||
52 | "description": "", | 52 | "description": "", | ||
53 | "display_name": "3D Point Cloud Registration", | 53 | "display_name": "3D Point Cloud Registration", | ||
54 | "id": "213ee476-e060-49b3-832d-0e406223cfc9", | 54 | "id": "213ee476-e060-49b3-832d-0e406223cfc9", | ||
55 | "image_display_url": "", | 55 | "image_display_url": "", | ||
56 | "name": "3d-point-cloud-registration", | 56 | "name": "3d-point-cloud-registration", | ||
57 | "title": "3D Point Cloud Registration" | 57 | "title": "3D Point Cloud Registration" | ||
58 | }, | 58 | }, | ||
59 | { | 59 | { | ||
60 | "description": "", | 60 | "description": "", | ||
61 | "display_name": "Crowded Scenes", | 61 | "display_name": "Crowded Scenes", | ||
62 | "id": "61332e24-2939-48c6-828b-88a34633f847", | 62 | "id": "61332e24-2939-48c6-828b-88a34633f847", | ||
63 | "image_display_url": "", | 63 | "image_display_url": "", | ||
64 | "name": "crowded-scenes", | 64 | "name": "crowded-scenes", | ||
65 | "title": "Crowded Scenes" | 65 | "title": "Crowded Scenes" | ||
66 | }, | 66 | }, | ||
67 | { | 67 | { | ||
68 | "description": "", | 68 | "description": "", | ||
69 | "display_name": "Human Movement", | 69 | "display_name": "Human Movement", | ||
70 | "id": "d424ab13-8785-4912-96f1-bbb926175855", | 70 | "id": "d424ab13-8785-4912-96f1-bbb926175855", | ||
71 | "image_display_url": "", | 71 | "image_display_url": "", | ||
72 | "name": "human-movement", | 72 | "name": "human-movement", | ||
73 | "title": "Human Movement" | 73 | "title": "Human Movement" | ||
74 | }, | 74 | }, | ||
75 | { | 75 | { | ||
76 | "description": "", | 76 | "description": "", | ||
77 | "display_name": "Human Trajectory Prediction", | 77 | "display_name": "Human Trajectory Prediction", | ||
78 | "id": "50a635fa-496b-4b9d-b1a7-88a5077945ca", | 78 | "id": "50a635fa-496b-4b9d-b1a7-88a5077945ca", | ||
79 | "image_display_url": "", | 79 | "image_display_url": "", | ||
80 | "name": "human-trajectory-prediction", | 80 | "name": "human-trajectory-prediction", | ||
81 | "title": "Human Trajectory Prediction" | 81 | "title": "Human Trajectory Prediction" | ||
82 | }, | 82 | }, | ||
83 | { | 83 | { | ||
84 | "description": "", | 84 | "description": "", | ||
85 | "display_name": "Outdoor Dataset", | 85 | "display_name": "Outdoor Dataset", | ||
86 | "id": "ba8c5fce-5451-43f1-b75f-5e2b092b3903", | 86 | "id": "ba8c5fce-5451-43f1-b75f-5e2b092b3903", | ||
87 | "image_display_url": "", | 87 | "image_display_url": "", | ||
88 | "name": "outdoor-dataset", | 88 | "name": "outdoor-dataset", | ||
89 | "title": "Outdoor Dataset" | 89 | "title": "Outdoor Dataset" | ||
90 | }, | 90 | }, | ||
91 | { | 91 | { | ||
92 | "description": "", | 92 | "description": "", | ||
93 | "display_name": "Pedestrian Trajectory", | 93 | "display_name": "Pedestrian Trajectory", | ||
94 | "id": "c698531a-1f33-445c-9635-290994493199", | 94 | "id": "c698531a-1f33-445c-9635-290994493199", | ||
95 | "image_display_url": "", | 95 | "image_display_url": "", | ||
96 | "name": "pedestrian-trajectory", | 96 | "name": "pedestrian-trajectory", | ||
97 | "title": "Pedestrian Trajectory" | 97 | "title": "Pedestrian Trajectory" | ||
98 | }, | 98 | }, | ||
99 | { | 99 | { | ||
100 | "description": "", | 100 | "description": "", | ||
101 | "display_name": "Pedestrian Trajectory Forecasting", | 101 | "display_name": "Pedestrian Trajectory Forecasting", | ||
102 | "id": "9ae3a256-db86-49f5-934e-d139e0ba3956", | 102 | "id": "9ae3a256-db86-49f5-934e-d139e0ba3956", | ||
103 | "image_display_url": "", | 103 | "image_display_url": "", | ||
104 | "name": "pedestrian-trajectory-forecasting", | 104 | "name": "pedestrian-trajectory-forecasting", | ||
105 | "title": "Pedestrian Trajectory Forecasting" | 105 | "title": "Pedestrian Trajectory Forecasting" | ||
106 | }, | 106 | }, | ||
107 | { | 107 | { | ||
108 | "description": "", | 108 | "description": "", | ||
109 | "display_name": "Pedestrian Trajectory Prediction", | 109 | "display_name": "Pedestrian Trajectory Prediction", | ||
110 | "id": "68c5a8a5-a781-4e5c-9e84-38adbb2b4d00", | 110 | "id": "68c5a8a5-a781-4e5c-9e84-38adbb2b4d00", | ||
111 | "image_display_url": "", | 111 | "image_display_url": "", | ||
112 | "name": "pedestrian-trajectory-prediction", | 112 | "name": "pedestrian-trajectory-prediction", | ||
113 | "title": "Pedestrian Trajectory Prediction" | 113 | "title": "Pedestrian Trajectory Prediction" | ||
114 | }, | 114 | }, | ||
115 | { | 115 | { | ||
116 | "description": "", | 116 | "description": "", | ||
117 | "display_name": "Trajectory Prediction", | 117 | "display_name": "Trajectory Prediction", | ||
118 | "id": "c7281c5e-5378-4760-81a6-a583369aa288", | 118 | "id": "c7281c5e-5378-4760-81a6-a583369aa288", | ||
119 | "image_display_url": "", | 119 | "image_display_url": "", | ||
120 | "name": "trajectory-prediction", | 120 | "name": "trajectory-prediction", | ||
121 | "title": "Trajectory Prediction" | 121 | "title": "Trajectory Prediction" | ||
122 | } | 122 | } | ||
123 | ], | 123 | ], | ||
124 | "id": "4f2bc827-1578-4a1f-8dec-4dbbe7002cef", | 124 | "id": "4f2bc827-1578-4a1f-8dec-4dbbe7002cef", | ||
125 | "isopen": false, | 125 | "isopen": false, | ||
126 | "landing_page": "https://github.com/Chen-Suyi/PointRegGPT", | 126 | "landing_page": "https://github.com/Chen-Suyi/PointRegGPT", | ||
127 | "license_title": null, | 127 | "license_title": null, | ||
128 | "link_orkg": "", | 128 | "link_orkg": "", | ||
129 | "metadata_created": "2024-12-03T09:39:57.164439", | 129 | "metadata_created": "2024-12-03T09:39:57.164439", | ||
n | 130 | "metadata_modified": "2024-12-03T09:39:57.164444", | n | 130 | "metadata_modified": "2024-12-03T09:39:57.533343", |
131 | "name": "eth", | 131 | "name": "eth", | ||
132 | "notes": "Pedestrian trajectory forecasting is a fundamental task in | 132 | "notes": "Pedestrian trajectory forecasting is a fundamental task in | ||
133 | multiple utility areas, such as self-driving, autonomous robots, and | 133 | multiple utility areas, such as self-driving, autonomous robots, and | ||
134 | surveillance systems. The future trajectory forecasting is | 134 | surveillance systems. The future trajectory forecasting is | ||
135 | multi-modal, in\ufb02uenced by physical interaction with scene | 135 | multi-modal, in\ufb02uenced by physical interaction with scene | ||
136 | contexts and intricate social interactions among pedestrians.", | 136 | contexts and intricate social interactions among pedestrians.", | ||
n | 137 | "num_resources": 0, | n | 137 | "num_resources": 1, |
138 | "num_tags": 16, | 138 | "num_tags": 16, | ||
139 | "organization": { | 139 | "organization": { | ||
140 | "approval_status": "approved", | 140 | "approval_status": "approved", | ||
141 | "created": "2024-11-25T12:11:38.292601", | 141 | "created": "2024-11-25T12:11:38.292601", | ||
142 | "description": "", | 142 | "description": "", | ||
143 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 143 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
144 | "image_url": "", | 144 | "image_url": "", | ||
145 | "is_organization": true, | 145 | "is_organization": true, | ||
146 | "name": "no-organization", | 146 | "name": "no-organization", | ||
147 | "state": "active", | 147 | "state": "active", | ||
148 | "title": "No Organization", | 148 | "title": "No Organization", | ||
149 | "type": "organization" | 149 | "type": "organization" | ||
150 | }, | 150 | }, | ||
151 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 151 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
152 | "private": false, | 152 | "private": false, | ||
153 | "relationships_as_object": [], | 153 | "relationships_as_object": [], | ||
154 | "relationships_as_subject": [], | 154 | "relationships_as_subject": [], | ||
t | 155 | "resources": [], | t | 155 | "resources": [ |
156 | { | ||||
157 | "cache_last_updated": null, | ||||
158 | "cache_url": null, | ||||
159 | "created": "2024-12-03T10:17:29", | ||||
160 | "data": [ | ||||
161 | "dcterms:title", | ||||
162 | "dcterms:accessRights", | ||||
163 | "dcterms:creator", | ||||
164 | "dcterms:description", | ||||
165 | "dcterms:issued", | ||||
166 | "dcterms:language", | ||||
167 | "dcterms:identifier", | ||||
168 | "dcat:theme", | ||||
169 | "dcterms:type", | ||||
170 | "dcat:keyword", | ||||
171 | "dcat:landingPage", | ||||
172 | "dcterms:hasVersion", | ||||
173 | "dcterms:format", | ||||
174 | "mls:task", | ||||
175 | "datacite:isDescribedBy" | ||||
176 | ], | ||||
177 | "description": "The json representation of the dataset with its | ||||
178 | distributions based on DCAT.", | ||||
179 | "format": "JSON", | ||||
180 | "hash": "", | ||||
181 | "id": "bad6cbb0-bf27-4a4d-9982-fc55f23f66d2", | ||||
182 | "last_modified": "2024-12-03T09:39:57.523639", | ||||
183 | "metadata_modified": "2024-12-03T09:39:57.536424", | ||||
184 | "mimetype": "application/json", | ||||
185 | "mimetype_inner": null, | ||||
186 | "name": "Original Metadata", | ||||
187 | "package_id": "4f2bc827-1578-4a1f-8dec-4dbbe7002cef", | ||||
188 | "position": 0, | ||||
189 | "resource_type": null, | ||||
190 | "size": 1902, | ||||
191 | "state": "active", | ||||
192 | "url": | ||||
193 | resource/bad6cbb0-bf27-4a4d-9982-fc55f23f66d2/download/metadata.json", | ||||
194 | "url_type": "upload" | ||||
195 | } | ||||
196 | ], | ||||
156 | "services_used_list": "", | 197 | "services_used_list": "", | ||
157 | "state": "active", | 198 | "state": "active", | ||
158 | "tags": [ | 199 | "tags": [ | ||
159 | { | 200 | { | ||
160 | "display_name": "3D Point Cloud Registration", | 201 | "display_name": "3D Point Cloud Registration", | ||
161 | "id": "e5ce90f9-75ce-4fe6-bb55-2e6e5f691a11", | 202 | "id": "e5ce90f9-75ce-4fe6-bb55-2e6e5f691a11", | ||
162 | "name": "3D Point Cloud Registration", | 203 | "name": "3D Point Cloud Registration", | ||
163 | "state": "active", | 204 | "state": "active", | ||
164 | "vocabulary_id": null | 205 | "vocabulary_id": null | ||
165 | }, | 206 | }, | ||
166 | { | 207 | { | ||
167 | "display_name": "3D Reconstruction", | 208 | "display_name": "3D Reconstruction", | ||
168 | "id": "4473ef66-a566-4165-a64e-4f56362435fb", | 209 | "id": "4473ef66-a566-4165-a64e-4f56362435fb", | ||
169 | "name": "3D Reconstruction", | 210 | "name": "3D Reconstruction", | ||
170 | "state": "active", | 211 | "state": "active", | ||
171 | "vocabulary_id": null | 212 | "vocabulary_id": null | ||
172 | }, | 213 | }, | ||
173 | { | 214 | { | ||
174 | "display_name": "ETH", | 215 | "display_name": "ETH", | ||
175 | "id": "d86f98d5-d8f3-4a67-b317-a62456820440", | 216 | "id": "d86f98d5-d8f3-4a67-b317-a62456820440", | ||
176 | "name": "ETH", | 217 | "name": "ETH", | ||
177 | "state": "active", | 218 | "state": "active", | ||
178 | "vocabulary_id": null | 219 | "vocabulary_id": null | ||
179 | }, | 220 | }, | ||
180 | { | 221 | { | ||
181 | "display_name": "Human Movement", | 222 | "display_name": "Human Movement", | ||
182 | "id": "a871dbde-2835-4424-bcf8-a73667868440", | 223 | "id": "a871dbde-2835-4424-bcf8-a73667868440", | ||
183 | "name": "Human Movement", | 224 | "name": "Human Movement", | ||
184 | "state": "active", | 225 | "state": "active", | ||
185 | "vocabulary_id": null | 226 | "vocabulary_id": null | ||
186 | }, | 227 | }, | ||
187 | { | 228 | { | ||
188 | "display_name": "Outdoor Scene", | 229 | "display_name": "Outdoor Scene", | ||
189 | "id": "2571b83c-946c-4ee5-aa29-09245f5f233d", | 230 | "id": "2571b83c-946c-4ee5-aa29-09245f5f233d", | ||
190 | "name": "Outdoor Scene", | 231 | "name": "Outdoor Scene", | ||
191 | "state": "active", | 232 | "state": "active", | ||
192 | "vocabulary_id": null | 233 | "vocabulary_id": null | ||
193 | }, | 234 | }, | ||
194 | { | 235 | { | ||
195 | "display_name": "Pedestrian Trajectory", | 236 | "display_name": "Pedestrian Trajectory", | ||
196 | "id": "f7462aba-0b32-499c-805a-45b8c37442c9", | 237 | "id": "f7462aba-0b32-499c-805a-45b8c37442c9", | ||
197 | "name": "Pedestrian Trajectory", | 238 | "name": "Pedestrian Trajectory", | ||
198 | "state": "active", | 239 | "state": "active", | ||
199 | "vocabulary_id": null | 240 | "vocabulary_id": null | ||
200 | }, | 241 | }, | ||
201 | { | 242 | { | ||
202 | "display_name": "Point Cloud Matching", | 243 | "display_name": "Point Cloud Matching", | ||
203 | "id": "fe24fb8d-03ee-4e16-a18b-5e8990935dff", | 244 | "id": "fe24fb8d-03ee-4e16-a18b-5e8990935dff", | ||
204 | "name": "Point Cloud Matching", | 245 | "name": "Point Cloud Matching", | ||
205 | "state": "active", | 246 | "state": "active", | ||
206 | "vocabulary_id": null | 247 | "vocabulary_id": null | ||
207 | }, | 248 | }, | ||
208 | { | 249 | { | ||
209 | "display_name": "crowded scenes", | 250 | "display_name": "crowded scenes", | ||
210 | "id": "b9064289-2d30-4321-bafd-5596babb581c", | 251 | "id": "b9064289-2d30-4321-bafd-5596babb581c", | ||
211 | "name": "crowded scenes", | 252 | "name": "crowded scenes", | ||
212 | "state": "active", | 253 | "state": "active", | ||
213 | "vocabulary_id": null | 254 | "vocabulary_id": null | ||
214 | }, | 255 | }, | ||
215 | { | 256 | { | ||
216 | "display_name": "human navigation", | 257 | "display_name": "human navigation", | ||
217 | "id": "1a3e1fd7-9146-4882-8358-7869eda4e662", | 258 | "id": "1a3e1fd7-9146-4882-8358-7869eda4e662", | ||
218 | "name": "human navigation", | 259 | "name": "human navigation", | ||
219 | "state": "active", | 260 | "state": "active", | ||
220 | "vocabulary_id": null | 261 | "vocabulary_id": null | ||
221 | }, | 262 | }, | ||
222 | { | 263 | { | ||
223 | "display_name": "human trajectory prediction", | 264 | "display_name": "human trajectory prediction", | ||
224 | "id": "c099c705-cd9f-4f28-8e02-2a5b24cdf9ee", | 265 | "id": "c099c705-cd9f-4f28-8e02-2a5b24cdf9ee", | ||
225 | "name": "human trajectory prediction", | 266 | "name": "human trajectory prediction", | ||
226 | "state": "active", | 267 | "state": "active", | ||
227 | "vocabulary_id": null | 268 | "vocabulary_id": null | ||
228 | }, | 269 | }, | ||
229 | { | 270 | { | ||
230 | "display_name": "pedestrian trajectory", | 271 | "display_name": "pedestrian trajectory", | ||
231 | "id": "39770020-2032-4da4-9db9-7b495f859883", | 272 | "id": "39770020-2032-4da4-9db9-7b495f859883", | ||
232 | "name": "pedestrian trajectory", | 273 | "name": "pedestrian trajectory", | ||
233 | "state": "active", | 274 | "state": "active", | ||
234 | "vocabulary_id": null | 275 | "vocabulary_id": null | ||
235 | }, | 276 | }, | ||
236 | { | 277 | { | ||
237 | "display_name": "pedestrian trajectory forecasting", | 278 | "display_name": "pedestrian trajectory forecasting", | ||
238 | "id": "7f00f06a-3c6d-4146-9bbd-067f6b9b25f6", | 279 | "id": "7f00f06a-3c6d-4146-9bbd-067f6b9b25f6", | ||
239 | "name": "pedestrian trajectory forecasting", | 280 | "name": "pedestrian trajectory forecasting", | ||
240 | "state": "active", | 281 | "state": "active", | ||
241 | "vocabulary_id": null | 282 | "vocabulary_id": null | ||
242 | }, | 283 | }, | ||
243 | { | 284 | { | ||
244 | "display_name": "scene contexts", | 285 | "display_name": "scene contexts", | ||
245 | "id": "7506aab4-d1b4-488b-b74c-b107e972580f", | 286 | "id": "7506aab4-d1b4-488b-b74c-b107e972580f", | ||
246 | "name": "scene contexts", | 287 | "name": "scene contexts", | ||
247 | "state": "active", | 288 | "state": "active", | ||
248 | "vocabulary_id": null | 289 | "vocabulary_id": null | ||
249 | }, | 290 | }, | ||
250 | { | 291 | { | ||
251 | "display_name": "social interactions", | 292 | "display_name": "social interactions", | ||
252 | "id": "b6e49530-c547-47d9-ac81-d94ba664f972", | 293 | "id": "b6e49530-c547-47d9-ac81-d94ba664f972", | ||
253 | "name": "social interactions", | 294 | "name": "social interactions", | ||
254 | "state": "active", | 295 | "state": "active", | ||
255 | "vocabulary_id": null | 296 | "vocabulary_id": null | ||
256 | }, | 297 | }, | ||
257 | { | 298 | { | ||
258 | "display_name": "socially acceptable trajectories", | 299 | "display_name": "socially acceptable trajectories", | ||
259 | "id": "e691da39-58d1-427e-85e0-76c168fff34c", | 300 | "id": "e691da39-58d1-427e-85e0-76c168fff34c", | ||
260 | "name": "socially acceptable trajectories", | 301 | "name": "socially acceptable trajectories", | ||
261 | "state": "active", | 302 | "state": "active", | ||
262 | "vocabulary_id": null | 303 | "vocabulary_id": null | ||
263 | }, | 304 | }, | ||
264 | { | 305 | { | ||
265 | "display_name": "trajectory prediction", | 306 | "display_name": "trajectory prediction", | ||
266 | "id": "4b6c0aa4-5683-4f7d-9bca-9820906a7886", | 307 | "id": "4b6c0aa4-5683-4f7d-9bca-9820906a7886", | ||
267 | "name": "trajectory prediction", | 308 | "name": "trajectory prediction", | ||
268 | "state": "active", | 309 | "state": "active", | ||
269 | "vocabulary_id": null | 310 | "vocabulary_id": null | ||
270 | } | 311 | } | ||
271 | ], | 312 | ], | ||
272 | "title": "ETH", | 313 | "title": "ETH", | ||
273 | "type": "dataset", | 314 | "type": "dataset", | ||
274 | "version": "" | 315 | "version": "" | ||
275 | } | 316 | } |