Changes
On December 3, 2024 at 10:30:03 AM UTC, admin:
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Angela Dai", | 3 | "author": "Angela Dai", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1804.06008" | 6 | "https://doi.org/10.48550/arXiv.1804.06008" | ||
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.2103.16792", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2103.16792", | ||
10 | "doi": "10.57702/lqcxldr6", | 10 | "doi": "10.57702/lqcxldr6", | ||
11 | "doi_date_published": "2024-12-02", | 11 | "doi_date_published": "2024-12-02", | ||
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
13 | "doi_status": true, | 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": "Angel X Chang", | 17 | "extra_author": "Angel X Chang", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Manolis Savva", | 21 | "extra_author": "Manolis Savva", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Maciej Halber", | 25 | "extra_author": "Maciej Halber", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Thomas Funkhouser", | 29 | "extra_author": "Thomas Funkhouser", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "extra_author": "Matthias Nie\u00dfner", | 33 | "extra_author": "Matthias Nie\u00dfner", | ||
34 | "orcid": "" | 34 | "orcid": "" | ||
35 | } | 35 | } | ||
36 | ], | 36 | ], | ||
37 | "groups": [ | 37 | "groups": [ | ||
38 | { | 38 | { | ||
39 | "description": "", | 39 | "description": "", | ||
40 | "display_name": "3D Reconstruction", | 40 | "display_name": "3D Reconstruction", | ||
41 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | 41 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | ||
42 | "image_display_url": "", | 42 | "image_display_url": "", | ||
43 | "name": "3d-reconstruction", | 43 | "name": "3d-reconstruction", | ||
44 | "title": "3D Reconstruction" | 44 | "title": "3D Reconstruction" | ||
45 | }, | 45 | }, | ||
46 | { | 46 | { | ||
47 | "description": "", | 47 | "description": "", | ||
48 | "display_name": "Computer Vision", | 48 | "display_name": "Computer Vision", | ||
49 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 49 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
50 | "image_display_url": "", | 50 | "image_display_url": "", | ||
51 | "name": "computer-vision", | 51 | "name": "computer-vision", | ||
52 | "title": "Computer Vision" | 52 | "title": "Computer Vision" | ||
53 | }, | 53 | }, | ||
54 | { | 54 | { | ||
55 | "description": "", | 55 | "description": "", | ||
56 | "display_name": "Indoor Scenes", | 56 | "display_name": "Indoor Scenes", | ||
57 | "id": "1cdde29d-6358-4f23-823c-0e7caad9ae2e", | 57 | "id": "1cdde29d-6358-4f23-823c-0e7caad9ae2e", | ||
58 | "image_display_url": "", | 58 | "image_display_url": "", | ||
59 | "name": "indoor-scenes", | 59 | "name": "indoor-scenes", | ||
60 | "title": "Indoor Scenes" | 60 | "title": "Indoor Scenes" | ||
61 | } | 61 | } | ||
62 | ], | 62 | ], | ||
63 | "id": "65f142d6-9c07-44e6-b5f6-d69106b169e8", | 63 | "id": "65f142d6-9c07-44e6-b5f6-d69106b169e8", | ||
64 | "isopen": false, | 64 | "isopen": false, | ||
65 | "landing_page": "https://scannet.cs.stanford.edu/", | 65 | "landing_page": "https://scannet.cs.stanford.edu/", | ||
66 | "license_title": null, | 66 | "license_title": null, | ||
67 | "link_orkg": "", | 67 | "link_orkg": "", | ||
68 | "metadata_created": "2024-12-02T17:56:13.713614", | 68 | "metadata_created": "2024-12-02T17:56:13.713614", | ||
n | 69 | "metadata_modified": "2024-12-03T10:30:02.091493", | n | 69 | "metadata_modified": "2024-12-03T10:30:03.066891", |
70 | "name": | 70 | "name": | ||
71 | "scannet--richly-annotated-3d-reconstructions-of-indoor-scenes", | 71 | "scannet--richly-annotated-3d-reconstructions-of-indoor-scenes", | ||
72 | "notes": "Scannet: Richly-annotated 3D reconstructions of indoor | 72 | "notes": "Scannet: Richly-annotated 3D reconstructions of indoor | ||
73 | scenes.", | 73 | scenes.", | ||
n | 74 | "num_resources": 0, | n | 74 | "num_resources": 1, |
75 | "num_tags": 6, | 75 | "num_tags": 6, | ||
76 | "organization": { | 76 | "organization": { | ||
77 | "approval_status": "approved", | 77 | "approval_status": "approved", | ||
78 | "created": "2024-11-25T12:11:38.292601", | 78 | "created": "2024-11-25T12:11:38.292601", | ||
79 | "description": "", | 79 | "description": "", | ||
80 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 80 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
81 | "image_url": "", | 81 | "image_url": "", | ||
82 | "is_organization": true, | 82 | "is_organization": true, | ||
83 | "name": "no-organization", | 83 | "name": "no-organization", | ||
84 | "state": "active", | 84 | "state": "active", | ||
85 | "title": "No Organization", | 85 | "title": "No Organization", | ||
86 | "type": "organization" | 86 | "type": "organization" | ||
87 | }, | 87 | }, | ||
88 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 88 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
89 | "private": false, | 89 | "private": false, | ||
90 | "relationships_as_object": [], | 90 | "relationships_as_object": [], | ||
91 | "relationships_as_subject": [], | 91 | "relationships_as_subject": [], | ||
t | 92 | "resources": [], | t | 92 | "resources": [ |
93 | { | ||||
94 | "cache_last_updated": null, | ||||
95 | "cache_url": null, | ||||
96 | "created": "2024-12-03T11:11:17", | ||||
97 | "data": [ | ||||
98 | "dcterms:title", | ||||
99 | "dcterms:accessRights", | ||||
100 | "dcterms:creator", | ||||
101 | "dcterms:description", | ||||
102 | "dcterms:issued", | ||||
103 | "dcterms:language", | ||||
104 | "dcterms:identifier", | ||||
105 | "dcat:theme", | ||||
106 | "dcterms:type", | ||||
107 | "dcat:keyword", | ||||
108 | "dcat:landingPage", | ||||
109 | "dcterms:hasVersion", | ||||
110 | "dcterms:format", | ||||
111 | "mls:task", | ||||
112 | "datacite:isDescribedBy" | ||||
113 | ], | ||||
114 | "description": "The json representation of the dataset with its | ||||
115 | distributions based on DCAT.", | ||||
116 | "format": "JSON", | ||||
117 | "hash": "", | ||||
118 | "id": "c7619337-fe47-4aac-b4ec-05aea7b6f4a6", | ||||
119 | "last_modified": "2024-12-03T10:30:03.058796", | ||||
120 | "metadata_modified": "2024-12-03T10:30:03.070250", | ||||
121 | "mimetype": "application/json", | ||||
122 | "mimetype_inner": null, | ||||
123 | "name": "Original Metadata", | ||||
124 | "package_id": "65f142d6-9c07-44e6-b5f6-d69106b169e8", | ||||
125 | "position": 0, | ||||
126 | "resource_type": null, | ||||
127 | "size": 906, | ||||
128 | "state": "active", | ||||
129 | "url": | ||||
130 | resource/c7619337-fe47-4aac-b4ec-05aea7b6f4a6/download/metadata.json", | ||||
131 | "url_type": "upload" | ||||
132 | } | ||||
133 | ], | ||||
93 | "services_used_list": "", | 134 | "services_used_list": "", | ||
94 | "state": "active", | 135 | "state": "active", | ||
95 | "tags": [ | 136 | "tags": [ | ||
96 | { | 137 | { | ||
97 | "display_name": "3D Reconstruction", | 138 | "display_name": "3D Reconstruction", | ||
98 | "id": "4473ef66-a566-4165-a64e-4f56362435fb", | 139 | "id": "4473ef66-a566-4165-a64e-4f56362435fb", | ||
99 | "name": "3D Reconstruction", | 140 | "name": "3D Reconstruction", | ||
100 | "state": "active", | 141 | "state": "active", | ||
101 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
102 | }, | 143 | }, | ||
103 | { | 144 | { | ||
104 | "display_name": "3D reconstruction", | 145 | "display_name": "3D reconstruction", | ||
105 | "id": "0004a2f2-abb9-4633-ae9b-500f9d6f21f8", | 146 | "id": "0004a2f2-abb9-4633-ae9b-500f9d6f21f8", | ||
106 | "name": "3D reconstruction", | 147 | "name": "3D reconstruction", | ||
107 | "state": "active", | 148 | "state": "active", | ||
108 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
109 | }, | 150 | }, | ||
110 | { | 151 | { | ||
111 | "display_name": "Indoor Scenes", | 152 | "display_name": "Indoor Scenes", | ||
112 | "id": "347c5737-e536-45b4-8044-796b0a7dc8f4", | 153 | "id": "347c5737-e536-45b4-8044-796b0a7dc8f4", | ||
113 | "name": "Indoor Scenes", | 154 | "name": "Indoor Scenes", | ||
114 | "state": "active", | 155 | "state": "active", | ||
115 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
116 | }, | 157 | }, | ||
117 | { | 158 | { | ||
118 | "display_name": "Scannet", | 159 | "display_name": "Scannet", | ||
119 | "id": "92998e40-4892-441a-999f-8746a4ca8e6f", | 160 | "id": "92998e40-4892-441a-999f-8746a4ca8e6f", | ||
120 | "name": "Scannet", | 161 | "name": "Scannet", | ||
121 | "state": "active", | 162 | "state": "active", | ||
122 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
123 | }, | 164 | }, | ||
124 | { | 165 | { | ||
125 | "display_name": "Scans", | 166 | "display_name": "Scans", | ||
126 | "id": "67f2cb5a-d434-4da9-a96b-85f08b51685e", | 167 | "id": "67f2cb5a-d434-4da9-a96b-85f08b51685e", | ||
127 | "name": "Scans", | 168 | "name": "Scans", | ||
128 | "state": "active", | 169 | "state": "active", | ||
129 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
130 | }, | 171 | }, | ||
131 | { | 172 | { | ||
132 | "display_name": "indoor scenes", | 173 | "display_name": "indoor scenes", | ||
133 | "id": "7c39b0f6-b707-459a-9d7e-7e2625177b9f", | 174 | "id": "7c39b0f6-b707-459a-9d7e-7e2625177b9f", | ||
134 | "name": "indoor scenes", | 175 | "name": "indoor scenes", | ||
135 | "state": "active", | 176 | "state": "active", | ||
136 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
137 | } | 178 | } | ||
138 | ], | 179 | ], | ||
139 | "title": "Scannet: Richly-annotated 3D reconstructions of indoor | 180 | "title": "Scannet: Richly-annotated 3D reconstructions of indoor | ||
140 | scenes", | 181 | scenes", | ||
141 | "type": "dataset", | 182 | "type": "dataset", | ||
142 | "version": "" | 183 | "version": "" | ||
143 | } | 184 | } |