Changes
On January 3, 2025 at 12:40:20 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in UMN -
Changed value of field
doi_date_published
to2025-01-03
in UMN -
Added resource Original Metadata to UMN
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Pankaj Raj Roy", | 3 | "author": "Pankaj Raj Roy", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1902.05872" | 6 | "https://doi.org/10.48550/arXiv.1902.05872" | ||
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.2011.06722", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2011.06722", | ||
10 | "doi": "10.57702/4fx1om72", | 10 | "doi": "10.57702/4fx1om72", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2025-01-03", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
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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": "Guillaume-Alexandre Bilodeau", | 17 | "extra_author": "Guillaume-Alexandre Bilodeau", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Lama Seoud", | 21 | "extra_author": "Lama Seoud", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | } | 23 | } | ||
24 | ], | 24 | ], | ||
25 | "groups": [ | 25 | "groups": [ | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "Video Anomaly Detection", | 28 | "display_name": "Video Anomaly Detection", | ||
29 | "id": "e8df4eca-f119-44dc-9a4d-9e203187b972", | 29 | "id": "e8df4eca-f119-44dc-9a4d-9e203187b972", | ||
30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "video-anomaly-detection", | 31 | "name": "video-anomaly-detection", | ||
32 | "title": "Video Anomaly Detection" | 32 | "title": "Video Anomaly Detection" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "id": "b65eb24f-502f-43a5-a3dd-6ee18c1150d7", | 35 | "id": "b65eb24f-502f-43a5-a3dd-6ee18c1150d7", | ||
36 | "isopen": false, | 36 | "isopen": false, | ||
37 | "landing_page": "https://github.com/fjchange/object_centric_VAD", | 37 | "landing_page": "https://github.com/fjchange/object_centric_VAD", | ||
38 | "license_title": null, | 38 | "license_title": null, | ||
39 | "link_orkg": "", | 39 | "link_orkg": "", | ||
40 | "metadata_created": "2025-01-03T00:40:19.257524", | 40 | "metadata_created": "2025-01-03T00:40:19.257524", | ||
n | 41 | "metadata_modified": "2025-01-03T00:40:19.257531", | n | 41 | "metadata_modified": "2025-01-03T00:40:19.858953", |
42 | "name": "umn", | 42 | "name": "umn", | ||
43 | "notes": "A video anomaly detection dataset for a crowded scene, | 43 | "notes": "A video anomaly detection dataset for a crowded scene, | ||
44 | containing 11 short clips of people meandering around an outdoor | 44 | containing 11 short clips of people meandering around an outdoor | ||
45 | field, courtyard, or indoor foyer.", | 45 | field, courtyard, or indoor foyer.", | ||
n | 46 | "num_resources": 0, | n | 46 | "num_resources": 1, |
47 | "num_tags": 8, | 47 | "num_tags": 8, | ||
48 | "organization": { | 48 | "organization": { | ||
49 | "approval_status": "approved", | 49 | "approval_status": "approved", | ||
50 | "created": "2024-11-25T12:11:38.292601", | 50 | "created": "2024-11-25T12:11:38.292601", | ||
51 | "description": "", | 51 | "description": "", | ||
52 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 52 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
53 | "image_url": "", | 53 | "image_url": "", | ||
54 | "is_organization": true, | 54 | "is_organization": true, | ||
55 | "name": "no-organization", | 55 | "name": "no-organization", | ||
56 | "state": "active", | 56 | "state": "active", | ||
57 | "title": "No Organization", | 57 | "title": "No Organization", | ||
58 | "type": "organization" | 58 | "type": "organization" | ||
59 | }, | 59 | }, | ||
60 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 60 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
61 | "private": false, | 61 | "private": false, | ||
62 | "relationships_as_object": [], | 62 | "relationships_as_object": [], | ||
63 | "relationships_as_subject": [], | 63 | "relationships_as_subject": [], | ||
t | 64 | "resources": [], | t | 64 | "resources": [ |
65 | { | ||||
66 | "cache_last_updated": null, | ||||
67 | "cache_url": null, | ||||
68 | "created": "2025-01-03T00:16:33", | ||||
69 | "data": [ | ||||
70 | "dcterms:title", | ||||
71 | "dcterms:accessRights", | ||||
72 | "dcterms:creator", | ||||
73 | "dcterms:description", | ||||
74 | "dcterms:issued", | ||||
75 | "dcterms:language", | ||||
76 | "dcterms:identifier", | ||||
77 | "dcat:theme", | ||||
78 | "dcterms:type", | ||||
79 | "dcat:keyword", | ||||
80 | "dcat:landingPage", | ||||
81 | "dcterms:hasVersion", | ||||
82 | "dcterms:format", | ||||
83 | "mls:task", | ||||
84 | "datacite:isDescribedBy" | ||||
85 | ], | ||||
86 | "description": "The json representation of the dataset with its | ||||
87 | distributions based on DCAT.", | ||||
88 | "format": "JSON", | ||||
89 | "hash": "", | ||||
90 | "id": "81f5388c-33f6-41f4-848e-34879624c6bc", | ||||
91 | "last_modified": "2025-01-03T00:40:19.850899", | ||||
92 | "metadata_modified": "2025-01-03T00:40:19.861813", | ||||
93 | "mimetype": "application/json", | ||||
94 | "mimetype_inner": null, | ||||
95 | "name": "Original Metadata", | ||||
96 | "package_id": "b65eb24f-502f-43a5-a3dd-6ee18c1150d7", | ||||
97 | "position": 0, | ||||
98 | "resource_type": null, | ||||
99 | "size": 896, | ||||
100 | "state": "active", | ||||
101 | "url": | ||||
102 | resource/81f5388c-33f6-41f4-848e-34879624c6bc/download/metadata.json", | ||||
103 | "url_type": "upload" | ||||
104 | } | ||||
105 | ], | ||||
65 | "services_used_list": "", | 106 | "services_used_list": "", | ||
66 | "state": "active", | 107 | "state": "active", | ||
67 | "tags": [ | 108 | "tags": [ | ||
68 | { | 109 | { | ||
69 | "display_name": "Anomaly", | 110 | "display_name": "Anomaly", | ||
70 | "id": "188a322c-791a-4363-885a-14a2e9f022c1", | 111 | "id": "188a322c-791a-4363-885a-14a2e9f022c1", | ||
71 | "name": "Anomaly", | 112 | "name": "Anomaly", | ||
72 | "state": "active", | 113 | "state": "active", | ||
73 | "vocabulary_id": null | 114 | "vocabulary_id": null | ||
74 | }, | 115 | }, | ||
75 | { | 116 | { | ||
76 | "display_name": "Detection", | 117 | "display_name": "Detection", | ||
77 | "id": "0a1e40c9-2571-474a-ae08-794f6233e3a4", | 118 | "id": "0a1e40c9-2571-474a-ae08-794f6233e3a4", | ||
78 | "name": "Detection", | 119 | "name": "Detection", | ||
79 | "state": "active", | 120 | "state": "active", | ||
80 | "vocabulary_id": null | 121 | "vocabulary_id": null | ||
81 | }, | 122 | }, | ||
82 | { | 123 | { | ||
83 | "display_name": "Video", | 124 | "display_name": "Video", | ||
84 | "id": "7d945dfc-6203-4ef8-8369-90704d7498ac", | 125 | "id": "7d945dfc-6203-4ef8-8369-90704d7498ac", | ||
85 | "name": "Video", | 126 | "name": "Video", | ||
86 | "state": "active", | 127 | "state": "active", | ||
87 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
88 | }, | 129 | }, | ||
89 | { | 130 | { | ||
90 | "display_name": "courtyard", | 131 | "display_name": "courtyard", | ||
91 | "id": "9537a807-6167-47f3-908f-1b4a6910616d", | 132 | "id": "9537a807-6167-47f3-908f-1b4a6910616d", | ||
92 | "name": "courtyard", | 133 | "name": "courtyard", | ||
93 | "state": "active", | 134 | "state": "active", | ||
94 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
95 | }, | 136 | }, | ||
96 | { | 137 | { | ||
97 | "display_name": "crowded scene", | 138 | "display_name": "crowded scene", | ||
98 | "id": "2a26ddb7-20c4-4983-90ff-cb222720ed7b", | 139 | "id": "2a26ddb7-20c4-4983-90ff-cb222720ed7b", | ||
99 | "name": "crowded scene", | 140 | "name": "crowded scene", | ||
100 | "state": "active", | 141 | "state": "active", | ||
101 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
102 | }, | 143 | }, | ||
103 | { | 144 | { | ||
104 | "display_name": "indoor foyer", | 145 | "display_name": "indoor foyer", | ||
105 | "id": "68a270da-f0d4-496d-8986-601e6b62f19d", | 146 | "id": "68a270da-f0d4-496d-8986-601e6b62f19d", | ||
106 | "name": "indoor foyer", | 147 | "name": "indoor foyer", | ||
107 | "state": "active", | 148 | "state": "active", | ||
108 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
109 | }, | 150 | }, | ||
110 | { | 151 | { | ||
111 | "display_name": "outdoor field", | 152 | "display_name": "outdoor field", | ||
112 | "id": "8e0e6a8c-e174-41b0-8baa-fe4657d992e3", | 153 | "id": "8e0e6a8c-e174-41b0-8baa-fe4657d992e3", | ||
113 | "name": "outdoor field", | 154 | "name": "outdoor field", | ||
114 | "state": "active", | 155 | "state": "active", | ||
115 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
116 | }, | 157 | }, | ||
117 | { | 158 | { | ||
118 | "display_name": "people meandering", | 159 | "display_name": "people meandering", | ||
119 | "id": "61e50664-b0bd-4aa0-8c0f-80e84e303d52", | 160 | "id": "61e50664-b0bd-4aa0-8c0f-80e84e303d52", | ||
120 | "name": "people meandering", | 161 | "name": "people meandering", | ||
121 | "state": "active", | 162 | "state": "active", | ||
122 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
123 | } | 164 | } | ||
124 | ], | 165 | ], | ||
125 | "title": "UMN", | 166 | "title": "UMN", | ||
126 | "type": "dataset", | 167 | "type": "dataset", | ||
127 | "version": "" | 168 | "version": "" | ||
128 | } | 169 | } |