Changes
On December 3, 2024 at 9:35:40 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Thyroid Nodule, Liver and Kidney, Breast Lesion, and Skin Lesion Datasets -
Changed value of field
doi_date_published
to2024-12-03
in Thyroid Nodule, Liver and Kidney, Breast Lesion, and Skin Lesion Datasets -
Added resource Original Metadata to Thyroid Nodule, Liver and Kidney, Breast Lesion, and Skin Lesion Datasets
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Shuhang Wang", | 3 | "author": "Shuhang Wang", | ||
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": "", | 7 | "defined_in": "", | ||
8 | "doi": "10.57702/v55hs3sf", | 8 | "doi": "10.57702/v55hs3sf", | ||
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": "Szu-Yeu Hu", | 15 | "extra_author": "Szu-Yeu Hu", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Eugene Cheah", | 19 | "extra_author": "Eugene Cheah", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Xiaohong Wang", | 23 | "extra_author": "Xiaohong Wang", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Jingchao Wang", | 27 | "extra_author": "Jingchao Wang", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Lei Chen", | 31 | "extra_author": "Lei Chen", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Masoud Baikpour", | 35 | "extra_author": "Masoud Baikpour", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "extra_author": "Arinc Ozturk", | 39 | "extra_author": "Arinc Ozturk", | ||
40 | "orcid": "" | 40 | "orcid": "" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "extra_author": "Qian Li", | 43 | "extra_author": "Qian Li", | ||
44 | "orcid": "" | 44 | "orcid": "" | ||
45 | }, | 45 | }, | ||
46 | { | 46 | { | ||
47 | "extra_author": "Shinn-Huey Chou", | 47 | "extra_author": "Shinn-Huey Chou", | ||
48 | "orcid": "" | 48 | "orcid": "" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "extra_author": "Constance D. Lehman", | 51 | "extra_author": "Constance D. Lehman", | ||
52 | "orcid": "" | 52 | "orcid": "" | ||
53 | }, | 53 | }, | ||
54 | { | 54 | { | ||
55 | "extra_author": "Viksit Kumar", | 55 | "extra_author": "Viksit Kumar", | ||
56 | "orcid": "" | 56 | "orcid": "" | ||
57 | }, | 57 | }, | ||
58 | { | 58 | { | ||
59 | "extra_author": "Anthony Samir", | 59 | "extra_author": "Anthony Samir", | ||
60 | "orcid": "" | 60 | "orcid": "" | ||
61 | } | 61 | } | ||
62 | ], | 62 | ], | ||
63 | "groups": [ | 63 | "groups": [ | ||
64 | { | 64 | { | ||
65 | "description": "", | 65 | "description": "", | ||
66 | "display_name": "Medical Image Segmentation", | 66 | "display_name": "Medical Image Segmentation", | ||
67 | "id": "30b6f278-a6f5-4a21-8a07-80737406cc87", | 67 | "id": "30b6f278-a6f5-4a21-8a07-80737406cc87", | ||
68 | "image_display_url": "", | 68 | "image_display_url": "", | ||
69 | "name": "medical-image-segmentation", | 69 | "name": "medical-image-segmentation", | ||
70 | "title": "Medical Image Segmentation" | 70 | "title": "Medical Image Segmentation" | ||
71 | } | 71 | } | ||
72 | ], | 72 | ], | ||
73 | "id": "276c9793-7764-4261-b97a-b426b6f82ad7", | 73 | "id": "276c9793-7764-4261-b97a-b426b6f82ad7", | ||
74 | "isopen": false, | 74 | "isopen": false, | ||
75 | "landing_page": "https://doi.org/10.1037/tne0000129", | 75 | "landing_page": "https://doi.org/10.1037/tne0000129", | ||
76 | "license_title": null, | 76 | "license_title": null, | ||
77 | "link_orkg": "", | 77 | "link_orkg": "", | ||
78 | "metadata_created": "2024-12-03T09:35:39.345989", | 78 | "metadata_created": "2024-12-03T09:35:39.345989", | ||
n | 79 | "metadata_modified": "2024-12-03T09:35:39.345996", | n | 79 | "metadata_modified": "2024-12-03T09:35:39.784643", |
80 | "name": | 80 | "name": | ||
81 | id-nodule--liver-and-kidney--breast-lesion--and-skin-lesion-datasets", | 81 | id-nodule--liver-and-kidney--breast-lesion--and-skin-lesion-datasets", | ||
82 | "notes": "Four image datasets for medical image segmentation: | 82 | "notes": "Four image datasets for medical image segmentation: | ||
83 | thyroid nodule, liver and kidney, breast lesion, and skin lesion.", | 83 | thyroid nodule, liver and kidney, breast lesion, and skin lesion.", | ||
n | 84 | "num_resources": 0, | n | 84 | "num_resources": 1, |
85 | "num_tags": 4, | 85 | "num_tags": 4, | ||
86 | "organization": { | 86 | "organization": { | ||
87 | "approval_status": "approved", | 87 | "approval_status": "approved", | ||
88 | "created": "2024-11-25T12:11:38.292601", | 88 | "created": "2024-11-25T12:11:38.292601", | ||
89 | "description": "", | 89 | "description": "", | ||
90 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 90 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
91 | "image_url": "", | 91 | "image_url": "", | ||
92 | "is_organization": true, | 92 | "is_organization": true, | ||
93 | "name": "no-organization", | 93 | "name": "no-organization", | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "title": "No Organization", | 95 | "title": "No Organization", | ||
96 | "type": "organization" | 96 | "type": "organization" | ||
97 | }, | 97 | }, | ||
98 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 98 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
99 | "private": false, | 99 | "private": false, | ||
100 | "relationships_as_object": [], | 100 | "relationships_as_object": [], | ||
101 | "relationships_as_subject": [], | 101 | "relationships_as_subject": [], | ||
t | 102 | "resources": [], | t | 102 | "resources": [ |
103 | { | ||||
104 | "cache_last_updated": null, | ||||
105 | "cache_url": null, | ||||
106 | "created": "2024-12-03T10:17:29", | ||||
107 | "data": [ | ||||
108 | "dcterms:title", | ||||
109 | "dcterms:accessRights", | ||||
110 | "dcterms:creator", | ||||
111 | "dcterms:description", | ||||
112 | "dcterms:issued", | ||||
113 | "dcterms:language", | ||||
114 | "dcterms:identifier", | ||||
115 | "dcat:theme", | ||||
116 | "dcterms:type", | ||||
117 | "dcat:keyword", | ||||
118 | "dcat:landingPage", | ||||
119 | "dcterms:hasVersion", | ||||
120 | "dcterms:format", | ||||
121 | "mls:task" | ||||
122 | ], | ||||
123 | "description": "The json representation of the dataset with its | ||||
124 | distributions based on DCAT.", | ||||
125 | "format": "JSON", | ||||
126 | "hash": "", | ||||
127 | "id": "fd5079a9-81fb-4529-ad31-2763865f3ec6", | ||||
128 | "last_modified": "2024-12-03T09:35:39.777203", | ||||
129 | "metadata_modified": "2024-12-03T09:35:39.787409", | ||||
130 | "mimetype": "application/json", | ||||
131 | "mimetype_inner": null, | ||||
132 | "name": "Original Metadata", | ||||
133 | "package_id": "276c9793-7764-4261-b97a-b426b6f82ad7", | ||||
134 | "position": 0, | ||||
135 | "resource_type": null, | ||||
136 | "size": 947, | ||||
137 | "state": "active", | ||||
138 | "url": | ||||
139 | resource/fd5079a9-81fb-4529-ad31-2763865f3ec6/download/metadata.json", | ||||
140 | "url_type": "upload" | ||||
141 | } | ||||
142 | ], | ||||
103 | "services_used_list": "", | 143 | "services_used_list": "", | ||
104 | "state": "active", | 144 | "state": "active", | ||
105 | "tags": [ | 145 | "tags": [ | ||
106 | { | 146 | { | ||
107 | "display_name": "Breast Lesion", | 147 | "display_name": "Breast Lesion", | ||
108 | "id": "ef73b622-439c-4039-bbec-1e590d6a7278", | 148 | "id": "ef73b622-439c-4039-bbec-1e590d6a7278", | ||
109 | "name": "Breast Lesion", | 149 | "name": "Breast Lesion", | ||
110 | "state": "active", | 150 | "state": "active", | ||
111 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
112 | }, | 152 | }, | ||
113 | { | 153 | { | ||
114 | "display_name": "Liver and Kidney", | 154 | "display_name": "Liver and Kidney", | ||
115 | "id": "e7ea02dd-195e-4378-873f-b55b0f154f53", | 155 | "id": "e7ea02dd-195e-4378-873f-b55b0f154f53", | ||
116 | "name": "Liver and Kidney", | 156 | "name": "Liver and Kidney", | ||
117 | "state": "active", | 157 | "state": "active", | ||
118 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
119 | }, | 159 | }, | ||
120 | { | 160 | { | ||
121 | "display_name": "Medical Image Segmentation", | 161 | "display_name": "Medical Image Segmentation", | ||
122 | "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f", | 162 | "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f", | ||
123 | "name": "Medical Image Segmentation", | 163 | "name": "Medical Image Segmentation", | ||
124 | "state": "active", | 164 | "state": "active", | ||
125 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
126 | }, | 166 | }, | ||
127 | { | 167 | { | ||
128 | "display_name": "Skin Lesion", | 168 | "display_name": "Skin Lesion", | ||
129 | "id": "3a035528-8523-4800-9961-63f3772f8090", | 169 | "id": "3a035528-8523-4800-9961-63f3772f8090", | ||
130 | "name": "Skin Lesion", | 170 | "name": "Skin Lesion", | ||
131 | "state": "active", | 171 | "state": "active", | ||
132 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
133 | } | 173 | } | ||
134 | ], | 174 | ], | ||
135 | "title": "Thyroid Nodule, Liver and Kidney, Breast Lesion, and Skin | 175 | "title": "Thyroid Nodule, Liver and Kidney, Breast Lesion, and Skin | ||
136 | Lesion Datasets", | 176 | Lesion Datasets", | ||
137 | "type": "dataset", | 177 | "type": "dataset", | ||
138 | "version": "" | 178 | "version": "" | ||
139 | } | 179 | } |