Changes
On December 3, 2024 at 10:28:01 AM UTC, admin:
-
Added resource Original Metadata to Shapenet dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Stephan Antholzer", | 3 | "author": "Stephan Antholzer", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2211.01009" | 6 | "https://doi.org/10.48550/arXiv.2211.01009" | ||
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.2106.02634", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2106.02634", | ||
10 | "doi": "10.57702/3z1u7yfh", | 10 | "doi": "10.57702/3z1u7yfh", | ||
11 | "doi_date_published": "2024-11-25", | 11 | "doi_date_published": "2024-11-25", | ||
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": "Martin Berger", | 17 | "extra_author": "Martin Berger", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Tobias Hell", | 21 | "extra_author": "Tobias Hell", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | } | 23 | } | ||
24 | ], | 24 | ], | ||
25 | "groups": [ | 25 | "groups": [ | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "3D Scene Understanding", | 28 | "display_name": "3D Scene Understanding", | ||
29 | "id": "bbef9259-bb19-4e31-8610-6745016a53bc", | 29 | "id": "bbef9259-bb19-4e31-8610-6745016a53bc", | ||
30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "3d-scene-understanding", | 31 | "name": "3d-scene-understanding", | ||
32 | "title": "3D Scene Understanding" | 32 | "title": "3D Scene Understanding" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "description": "", | 35 | "description": "", | ||
36 | "display_name": "3D modeling", | 36 | "display_name": "3D modeling", | ||
37 | "id": "ea68db51-1d75-4260-aa8f-4f6b19338970", | 37 | "id": "ea68db51-1d75-4260-aa8f-4f6b19338970", | ||
38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "3d-modeling", | 39 | "name": "3d-modeling", | ||
40 | "title": "3D modeling" | 40 | "title": "3D modeling" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Point Clouds", | 44 | "display_name": "Point Clouds", | ||
45 | "id": "71e868cb-bd30-4079-999e-4461dde9f071", | 45 | "id": "71e868cb-bd30-4079-999e-4461dde9f071", | ||
46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "point-clouds", | 47 | "name": "point-clouds", | ||
48 | "title": "Point Clouds" | 48 | "title": "Point Clouds" | ||
49 | } | 49 | } | ||
50 | ], | 50 | ], | ||
51 | "id": "69c38812-b89c-4034-afd2-56258b114667", | 51 | "id": "69c38812-b89c-4034-afd2-56258b114667", | ||
52 | "isopen": false, | 52 | "isopen": false, | ||
53 | "landing_page": "https://shapenet.org/", | 53 | "landing_page": "https://shapenet.org/", | ||
54 | "license_title": null, | 54 | "license_title": null, | ||
55 | "link_orkg": "", | 55 | "link_orkg": "", | ||
56 | "metadata_created": "2024-11-25T14:46:11.352745", | 56 | "metadata_created": "2024-11-25T14:46:11.352745", | ||
n | 57 | "metadata_modified": "2024-12-03T10:27:59.800294", | n | 57 | "metadata_modified": "2024-12-03T10:28:00.857285", |
58 | "name": "shapenet-dataset", | 58 | "name": "shapenet-dataset", | ||
59 | "notes": "A dataset of volumetric point clouds for training an | 59 | "notes": "A dataset of volumetric point clouds for training an | ||
60 | autoencoder for point clouds, consisting of four types of point | 60 | autoencoder for point clouds, consisting of four types of point | ||
61 | clouds: encapsulated spheres, encapsulated cuboids, orthogonally | 61 | clouds: encapsulated spheres, encapsulated cuboids, orthogonally | ||
62 | intersecting planes, and lattices with various geometric shapes.", | 62 | intersecting planes, and lattices with various geometric shapes.", | ||
n | 63 | "num_resources": 0, | n | 63 | "num_resources": 1, |
64 | "num_tags": 6, | 64 | "num_tags": 6, | ||
65 | "organization": { | 65 | "organization": { | ||
66 | "approval_status": "approved", | 66 | "approval_status": "approved", | ||
67 | "created": "2024-11-25T12:11:38.292601", | 67 | "created": "2024-11-25T12:11:38.292601", | ||
68 | "description": "", | 68 | "description": "", | ||
69 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 69 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
70 | "image_url": "", | 70 | "image_url": "", | ||
71 | "is_organization": true, | 71 | "is_organization": true, | ||
72 | "name": "no-organization", | 72 | "name": "no-organization", | ||
73 | "state": "active", | 73 | "state": "active", | ||
74 | "title": "No Organization", | 74 | "title": "No Organization", | ||
75 | "type": "organization" | 75 | "type": "organization" | ||
76 | }, | 76 | }, | ||
77 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 77 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
78 | "private": false, | 78 | "private": false, | ||
79 | "relationships_as_object": [], | 79 | "relationships_as_object": [], | ||
80 | "relationships_as_subject": [], | 80 | "relationships_as_subject": [], | ||
t | 81 | "resources": [], | t | 81 | "resources": [ |
82 | { | ||||
83 | "cache_last_updated": null, | ||||
84 | "cache_url": null, | ||||
85 | "created": "2024-12-03T11:11:17", | ||||
86 | "data": [ | ||||
87 | "dcterms:title", | ||||
88 | "dcterms:accessRights", | ||||
89 | "dcterms:creator", | ||||
90 | "dcterms:description", | ||||
91 | "dcterms:issued", | ||||
92 | "dcterms:language", | ||||
93 | "dcterms:identifier", | ||||
94 | "dcat:theme", | ||||
95 | "dcterms:type", | ||||
96 | "dcat:keyword", | ||||
97 | "dcat:landingPage", | ||||
98 | "dcterms:hasVersion", | ||||
99 | "dcterms:format", | ||||
100 | "mls:task", | ||||
101 | "datacite:isDescribedBy" | ||||
102 | ], | ||||
103 | "description": "The json representation of the dataset with its | ||||
104 | distributions based on DCAT.", | ||||
105 | "format": "JSON", | ||||
106 | "hash": "", | ||||
107 | "id": "02034374-7bde-48a6-90e6-5856a415704c", | ||||
108 | "last_modified": "2024-12-03T10:28:00.849415", | ||||
109 | "metadata_modified": "2024-12-03T10:28:00.860307", | ||||
110 | "mimetype": "application/json", | ||||
111 | "mimetype_inner": null, | ||||
112 | "name": "Original Metadata", | ||||
113 | "package_id": "69c38812-b89c-4034-afd2-56258b114667", | ||||
114 | "position": 0, | ||||
115 | "resource_type": null, | ||||
116 | "size": 1044, | ||||
117 | "state": "active", | ||||
118 | "url": | ||||
119 | resource/02034374-7bde-48a6-90e6-5856a415704c/download/metadata.json", | ||||
120 | "url_type": "upload" | ||||
121 | } | ||||
122 | ], | ||||
82 | "services_used_list": "", | 123 | "services_used_list": "", | ||
83 | "state": "active", | 124 | "state": "active", | ||
84 | "tags": [ | 125 | "tags": [ | ||
85 | { | 126 | { | ||
86 | "display_name": "3D modeling", | 127 | "display_name": "3D modeling", | ||
87 | "id": "cdad6d74-dd26-474e-afa2-322f5d812992", | 128 | "id": "cdad6d74-dd26-474e-afa2-322f5d812992", | ||
88 | "name": "3D modeling", | 129 | "name": "3D modeling", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
91 | }, | 132 | }, | ||
92 | { | 133 | { | ||
93 | "display_name": "3D scenes", | 134 | "display_name": "3D scenes", | ||
94 | "id": "e9922bf7-f70b-433a-a528-8a3853f3548d", | 135 | "id": "e9922bf7-f70b-433a-a528-8a3853f3548d", | ||
95 | "name": "3D scenes", | 136 | "name": "3D scenes", | ||
96 | "state": "active", | 137 | "state": "active", | ||
97 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
98 | }, | 139 | }, | ||
99 | { | 140 | { | ||
100 | "display_name": "point clouds", | 141 | "display_name": "point clouds", | ||
101 | "id": "c904c4ed-90b6-4e26-99e0-5201bce31b75", | 142 | "id": "c904c4ed-90b6-4e26-99e0-5201bce31b75", | ||
102 | "name": "point clouds", | 143 | "name": "point clouds", | ||
103 | "state": "active", | 144 | "state": "active", | ||
104 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
105 | }, | 146 | }, | ||
106 | { | 147 | { | ||
107 | "display_name": "room-scale environments", | 148 | "display_name": "room-scale environments", | ||
108 | "id": "be2ed9aa-d086-4f3e-b5bd-fdb18b09f83a", | 149 | "id": "be2ed9aa-d086-4f3e-b5bd-fdb18b09f83a", | ||
109 | "name": "room-scale environments", | 150 | "name": "room-scale environments", | ||
110 | "state": "active", | 151 | "state": "active", | ||
111 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
112 | }, | 153 | }, | ||
113 | { | 154 | { | ||
114 | "display_name": "single-object", | 155 | "display_name": "single-object", | ||
115 | "id": "73e150a3-256c-4580-8566-6625bb9d3434", | 156 | "id": "73e150a3-256c-4580-8566-6625bb9d3434", | ||
116 | "name": "single-object", | 157 | "name": "single-object", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
119 | }, | 160 | }, | ||
120 | { | 161 | { | ||
121 | "display_name": "volumetric data", | 162 | "display_name": "volumetric data", | ||
122 | "id": "2cbffd7d-44f3-45ed-8aa0-307c986ab1c4", | 163 | "id": "2cbffd7d-44f3-45ed-8aa0-307c986ab1c4", | ||
123 | "name": "volumetric data", | 164 | "name": "volumetric data", | ||
124 | "state": "active", | 165 | "state": "active", | ||
125 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
126 | } | 167 | } | ||
127 | ], | 168 | ], | ||
128 | "title": "Shapenet dataset", | 169 | "title": "Shapenet dataset", | ||
129 | "type": "dataset", | 170 | "type": "dataset", | ||
130 | "version": "" | 171 | "version": "" | ||
131 | } | 172 | } |