Changes
On December 2, 2024 at 11:15:20 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in ICM-57 -
Changed value of field
doi_date_published
to2024-12-02
in ICM-57 -
Added resource Original Metadata to ICM-57
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "He Guo", | 3 | "author": "He Guo", | ||
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.2403.15789", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2403.15789", | ||
8 | "doi": "10.57702/fznv8i90", | 8 | "doi": "10.57702/fznv8i90", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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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": "Zixuan Ye", | 15 | "extra_author": "Zixuan Ye", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Zhiguo Cao", | 19 | "extra_author": "Zhiguo Cao", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Hao Lu", | 23 | "extra_author": "Hao Lu", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | } | 25 | } | ||
26 | ], | 26 | ], | ||
27 | "groups": [ | 27 | "groups": [ | ||
28 | { | 28 | { | ||
29 | "description": "", | 29 | "description": "", | ||
30 | "display_name": "Image Matting", | 30 | "display_name": "Image Matting", | ||
31 | "id": "b242b5ba-5d02-415e-acdf-8297b364fe7b", | 31 | "id": "b242b5ba-5d02-415e-acdf-8297b364fe7b", | ||
32 | "image_display_url": "", | 32 | "image_display_url": "", | ||
33 | "name": "image-matting", | 33 | "name": "image-matting", | ||
34 | "title": "Image Matting" | 34 | "title": "Image Matting" | ||
35 | } | 35 | } | ||
36 | ], | 36 | ], | ||
37 | "id": "feb595b0-a7a2-4a7d-bb5f-4f5f16c35b00", | 37 | "id": "feb595b0-a7a2-4a7d-bb5f-4f5f16c35b00", | ||
38 | "isopen": false, | 38 | "isopen": false, | ||
39 | "landing_page": "https://github.com/tiny-smart/in-context-matting", | 39 | "landing_page": "https://github.com/tiny-smart/in-context-matting", | ||
40 | "license_title": null, | 40 | "license_title": null, | ||
41 | "link_orkg": "", | 41 | "link_orkg": "", | ||
42 | "metadata_created": "2024-12-02T23:15:18.677043", | 42 | "metadata_created": "2024-12-02T23:15:18.677043", | ||
n | 43 | "metadata_modified": "2024-12-02T23:15:18.677050", | n | 43 | "metadata_modified": "2024-12-02T23:15:19.275312", |
44 | "name": "icm-57", | 44 | "name": "icm-57", | ||
45 | "notes": "In-context matting dataset for image matting, comprising | 45 | "notes": "In-context matting dataset for image matting, comprising | ||
46 | 57 groups of real-world images with contextually-aligned | 46 | 57 groups of real-world images with contextually-aligned | ||
47 | foregrounds.", | 47 | foregrounds.", | ||
n | 48 | "num_resources": 0, | n | 48 | "num_resources": 1, |
49 | "num_tags": 4, | 49 | "num_tags": 4, | ||
50 | "organization": { | 50 | "organization": { | ||
51 | "approval_status": "approved", | 51 | "approval_status": "approved", | ||
52 | "created": "2024-11-25T12:11:38.292601", | 52 | "created": "2024-11-25T12:11:38.292601", | ||
53 | "description": "", | 53 | "description": "", | ||
54 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 54 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
55 | "image_url": "", | 55 | "image_url": "", | ||
56 | "is_organization": true, | 56 | "is_organization": true, | ||
57 | "name": "no-organization", | 57 | "name": "no-organization", | ||
58 | "state": "active", | 58 | "state": "active", | ||
59 | "title": "No Organization", | 59 | "title": "No Organization", | ||
60 | "type": "organization" | 60 | "type": "organization" | ||
61 | }, | 61 | }, | ||
62 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 62 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
63 | "private": false, | 63 | "private": false, | ||
64 | "relationships_as_object": [], | 64 | "relationships_as_object": [], | ||
65 | "relationships_as_subject": [], | 65 | "relationships_as_subject": [], | ||
t | 66 | "resources": [], | t | 66 | "resources": [ |
67 | { | ||||
68 | "cache_last_updated": null, | ||||
69 | "cache_url": null, | ||||
70 | "created": "2024-12-02T22:29:38", | ||||
71 | "data": [ | ||||
72 | "dcterms:title", | ||||
73 | "dcterms:accessRights", | ||||
74 | "dcterms:creator", | ||||
75 | "dcterms:description", | ||||
76 | "dcterms:issued", | ||||
77 | "dcterms:language", | ||||
78 | "dcterms:identifier", | ||||
79 | "dcat:theme", | ||||
80 | "dcterms:type", | ||||
81 | "dcat:keyword", | ||||
82 | "dcat:landingPage", | ||||
83 | "dcterms:hasVersion", | ||||
84 | "dcterms:format", | ||||
85 | "mls:task", | ||||
86 | "datacite:isDescribedBy" | ||||
87 | ], | ||||
88 | "description": "The json representation of the dataset with its | ||||
89 | distributions based on DCAT.", | ||||
90 | "format": "JSON", | ||||
91 | "hash": "", | ||||
92 | "id": "d5bca02b-7d3b-4e29-930c-508d91561e4a", | ||||
93 | "last_modified": "2024-12-02T23:15:19.267625", | ||||
94 | "metadata_modified": "2024-12-02T23:15:19.278367", | ||||
95 | "mimetype": "application/json", | ||||
96 | "mimetype_inner": null, | ||||
97 | "name": "Original Metadata", | ||||
98 | "package_id": "feb595b0-a7a2-4a7d-bb5f-4f5f16c35b00", | ||||
99 | "position": 0, | ||||
100 | "resource_type": null, | ||||
101 | "size": 727, | ||||
102 | "state": "active", | ||||
103 | "url": | ||||
104 | resource/d5bca02b-7d3b-4e29-930c-508d91561e4a/download/metadata.json", | ||||
105 | "url_type": "upload" | ||||
106 | } | ||||
107 | ], | ||||
67 | "services_used_list": "", | 108 | "services_used_list": "", | ||
68 | "state": "active", | 109 | "state": "active", | ||
69 | "tags": [ | 110 | "tags": [ | ||
70 | { | 111 | { | ||
71 | "display_name": "foregrounds", | 112 | "display_name": "foregrounds", | ||
72 | "id": "46196d58-3346-413e-98fa-9ca9742396e4", | 113 | "id": "46196d58-3346-413e-98fa-9ca9742396e4", | ||
73 | "name": "foregrounds", | 114 | "name": "foregrounds", | ||
74 | "state": "active", | 115 | "state": "active", | ||
75 | "vocabulary_id": null | 116 | "vocabulary_id": null | ||
76 | }, | 117 | }, | ||
77 | { | 118 | { | ||
78 | "display_name": "image matting", | 119 | "display_name": "image matting", | ||
79 | "id": "1c34949c-5c06-4ad4-9a83-2f50c463cb3f", | 120 | "id": "1c34949c-5c06-4ad4-9a83-2f50c463cb3f", | ||
80 | "name": "image matting", | 121 | "name": "image matting", | ||
81 | "state": "active", | 122 | "state": "active", | ||
82 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
83 | }, | 124 | }, | ||
84 | { | 125 | { | ||
85 | "display_name": "in-context matting", | 126 | "display_name": "in-context matting", | ||
86 | "id": "848ece79-154f-4e4d-8227-a9e2e55833ad", | 127 | "id": "848ece79-154f-4e4d-8227-a9e2e55833ad", | ||
87 | "name": "in-context matting", | 128 | "name": "in-context matting", | ||
88 | "state": "active", | 129 | "state": "active", | ||
89 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
90 | }, | 131 | }, | ||
91 | { | 132 | { | ||
92 | "display_name": "real-world images", | 133 | "display_name": "real-world images", | ||
93 | "id": "fe56fea9-8ca3-45c2-a07a-1fdcb2d19f08", | 134 | "id": "fe56fea9-8ca3-45c2-a07a-1fdcb2d19f08", | ||
94 | "name": "real-world images", | 135 | "name": "real-world images", | ||
95 | "state": "active", | 136 | "state": "active", | ||
96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | } | 138 | } | ||
98 | ], | 139 | ], | ||
99 | "title": "ICM-57", | 140 | "title": "ICM-57", | ||
100 | "type": "dataset", | 141 | "type": "dataset", | ||
101 | "version": "" | 142 | "version": "" | ||
102 | } | 143 | } |