Changes
On December 3, 2024 at 10:41:08 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy -
Changed value of field
doi_date_published
to2024-12-03
in SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy -
Added resource Original Metadata to SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Steve Dias Da Cruz", | 3 | "author": "Steve Dias Da Cruz", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.48550/arXiv.2001.03483", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2001.03483", | ||
8 | "doi": "10.57702/n949p0zq", | 8 | "doi": "10.57702/n949p0zq", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-03", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Oliver Wasenm\u00a8uller", | 15 | "extra_author": "Oliver Wasenm\u00a8uller", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Hans-Peter Beise", | 19 | "extra_author": "Hans-Peter Beise", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Thomas Stifter", | 23 | "extra_author": "Thomas Stifter", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Didier Stricker", | 27 | "extra_author": "Didier Stricker", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Autonomous Vehicles", | 34 | "display_name": "Autonomous Vehicles", | ||
35 | "id": "bd12ae6e-93f3-4bba-b980-043a24582ca6", | 35 | "id": "bd12ae6e-93f3-4bba-b980-043a24582ca6", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "autonomous-vehicles", | 37 | "name": "autonomous-vehicles", | ||
38 | "title": "Autonomous Vehicles" | 38 | "title": "Autonomous Vehicles" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
42 | "display_name": "Computer Vision", | 42 | "display_name": "Computer Vision", | ||
43 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 43 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "computer-vision", | 45 | "name": "computer-vision", | ||
46 | "title": "Computer Vision" | 46 | "title": "Computer Vision" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Machine Learning", | 50 | "display_name": "Machine Learning", | ||
51 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | 51 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "machine-learning", | 53 | "name": "machine-learning", | ||
54 | "title": "Machine Learning" | 54 | "title": "Machine Learning" | ||
55 | } | 55 | } | ||
56 | ], | 56 | ], | ||
57 | "id": "8689908b-2b4c-4a8e-a0f2-0b1c67837232", | 57 | "id": "8689908b-2b4c-4a8e-a0f2-0b1c67837232", | ||
58 | "isopen": false, | 58 | "isopen": false, | ||
59 | "landing_page": "https://sviro.kl.dfki.de", | 59 | "landing_page": "https://sviro.kl.dfki.de", | ||
60 | "license_title": null, | 60 | "license_title": null, | ||
61 | "link_orkg": "", | 61 | "link_orkg": "", | ||
62 | "metadata_created": "2024-12-03T10:41:07.503905", | 62 | "metadata_created": "2024-12-03T10:41:07.503905", | ||
n | 63 | "metadata_modified": "2024-12-03T10:41:07.503910", | n | 63 | "metadata_modified": "2024-12-03T10:41:07.849152", |
64 | "name": "sviro--synthetic-vehicle-interior-rear-seat-occupancy", | 64 | "name": "sviro--synthetic-vehicle-interior-rear-seat-occupancy", | ||
65 | "notes": "A synthetic dataset for sceneries in the passenger | 65 | "notes": "A synthetic dataset for sceneries in the passenger | ||
66 | compartment of ten different vehicles, to analyze machine | 66 | compartment of ten different vehicles, to analyze machine | ||
67 | learning-based approaches for their generalization capacities and | 67 | learning-based approaches for their generalization capacities and | ||
68 | reliability when trained on a limited number of variations.", | 68 | reliability when trained on a limited number of variations.", | ||
n | 69 | "num_resources": 0, | n | 69 | "num_resources": 1, |
70 | "num_tags": 5, | 70 | "num_tags": 5, | ||
71 | "organization": { | 71 | "organization": { | ||
72 | "approval_status": "approved", | 72 | "approval_status": "approved", | ||
73 | "created": "2024-11-25T12:11:38.292601", | 73 | "created": "2024-11-25T12:11:38.292601", | ||
74 | "description": "", | 74 | "description": "", | ||
75 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 75 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
76 | "image_url": "", | 76 | "image_url": "", | ||
77 | "is_organization": true, | 77 | "is_organization": true, | ||
78 | "name": "no-organization", | 78 | "name": "no-organization", | ||
79 | "state": "active", | 79 | "state": "active", | ||
80 | "title": "No Organization", | 80 | "title": "No Organization", | ||
81 | "type": "organization" | 81 | "type": "organization" | ||
82 | }, | 82 | }, | ||
83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
84 | "private": false, | 84 | "private": false, | ||
85 | "relationships_as_object": [], | 85 | "relationships_as_object": [], | ||
86 | "relationships_as_subject": [], | 86 | "relationships_as_subject": [], | ||
t | 87 | "resources": [], | t | 87 | "resources": [ |
88 | { | ||||
89 | "cache_last_updated": null, | ||||
90 | "cache_url": null, | ||||
91 | "created": "2024-12-03T11:31:03", | ||||
92 | "data": [ | ||||
93 | "dcterms:title", | ||||
94 | "dcterms:accessRights", | ||||
95 | "dcterms:creator", | ||||
96 | "dcterms:description", | ||||
97 | "dcterms:issued", | ||||
98 | "dcterms:language", | ||||
99 | "dcterms:identifier", | ||||
100 | "dcat:theme", | ||||
101 | "dcterms:type", | ||||
102 | "dcat:keyword", | ||||
103 | "dcat:landingPage", | ||||
104 | "dcterms:hasVersion", | ||||
105 | "dcterms:format", | ||||
106 | "mls:task", | ||||
107 | "datacite:isDescribedBy" | ||||
108 | ], | ||||
109 | "description": "The json representation of the dataset with its | ||||
110 | distributions based on DCAT.", | ||||
111 | "format": "JSON", | ||||
112 | "hash": "", | ||||
113 | "id": "4ea0e8c9-1d2d-4fa3-ad74-0a7b3234f5f1", | ||||
114 | "last_modified": "2024-12-03T10:41:07.841566", | ||||
115 | "metadata_modified": "2024-12-03T10:41:07.852088", | ||||
116 | "mimetype": "application/json", | ||||
117 | "mimetype_inner": null, | ||||
118 | "name": "Original Metadata", | ||||
119 | "package_id": "8689908b-2b4c-4a8e-a0f2-0b1c67837232", | ||||
120 | "position": 0, | ||||
121 | "resource_type": null, | ||||
122 | "size": 1088, | ||||
123 | "state": "active", | ||||
124 | "url": | ||||
125 | resource/4ea0e8c9-1d2d-4fa3-ad74-0a7b3234f5f1/download/metadata.json", | ||||
126 | "url_type": "upload" | ||||
127 | } | ||||
128 | ], | ||||
88 | "services_used_list": "", | 129 | "services_used_list": "", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "tags": [ | 131 | "tags": [ | ||
91 | { | 132 | { | ||
92 | "display_name": "Computer vision", | 133 | "display_name": "Computer vision", | ||
93 | "id": "4c7f3390-b5b7-4476-ba59-f5551656e121", | 134 | "id": "4c7f3390-b5b7-4476-ba59-f5551656e121", | ||
94 | "name": "Computer vision", | 135 | "name": "Computer vision", | ||
95 | "state": "active", | 136 | "state": "active", | ||
96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | }, | 138 | }, | ||
98 | { | 139 | { | ||
99 | "display_name": "Machine learning", | 140 | "display_name": "Machine learning", | ||
100 | "id": "7c8050e7-2e86-4a96-aebe-6c582621940d", | 141 | "id": "7c8050e7-2e86-4a96-aebe-6c582621940d", | ||
101 | "name": "Machine learning", | 142 | "name": "Machine learning", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
105 | { | 146 | { | ||
106 | "display_name": "Passenger compartment", | 147 | "display_name": "Passenger compartment", | ||
107 | "id": "52766c4c-87c6-4c25-8350-cfe9df183e42", | 148 | "id": "52766c4c-87c6-4c25-8350-cfe9df183e42", | ||
108 | "name": "Passenger compartment", | 149 | "name": "Passenger compartment", | ||
109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | }, | 152 | }, | ||
112 | { | 153 | { | ||
113 | "display_name": "Synthetic dataset", | 154 | "display_name": "Synthetic dataset", | ||
114 | "id": "23852e66-6846-4906-8126-937b64f02ee9", | 155 | "id": "23852e66-6846-4906-8126-937b64f02ee9", | ||
115 | "name": "Synthetic dataset", | 156 | "name": "Synthetic dataset", | ||
116 | "state": "active", | 157 | "state": "active", | ||
117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
118 | }, | 159 | }, | ||
119 | { | 160 | { | ||
120 | "display_name": "Vehicle interior", | 161 | "display_name": "Vehicle interior", | ||
121 | "id": "3b846b79-df0d-480c-acc5-dc95561fb99f", | 162 | "id": "3b846b79-df0d-480c-acc5-dc95561fb99f", | ||
122 | "name": "Vehicle interior", | 163 | "name": "Vehicle interior", | ||
123 | "state": "active", | 164 | "state": "active", | ||
124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
125 | } | 166 | } | ||
126 | ], | 167 | ], | ||
127 | "title": "SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy", | 168 | "title": "SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy", | ||
128 | "type": "dataset", | 169 | "type": "dataset", | ||
129 | "version": "" | 170 | "version": "" | ||
130 | } | 171 | } |