Changes
On December 16, 2024 at 6:41:58 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Kaggle APTOS 2019 -
Changed value of field
doi_date_published
to2024-12-16
in Kaggle APTOS 2019 -
Added resource Original Metadata to Kaggle APTOS 2019
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Taoyong Cui", | 3 | "author": "Taoyong Cui", | ||
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": "10.57702/58q6ngck", | 8 | "doi": "10.57702/58q6ngck", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-16", |
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": "Jianze Li", | 15 | "extra_author": "Jianze Li", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Yuhan Dong", | 19 | "extra_author": "Yuhan Dong", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Li Liu", | 23 | "extra_author": "Li Liu", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | } | 25 | } | ||
26 | ], | 26 | ], | ||
27 | "groups": [ | 27 | "groups": [ | ||
28 | { | 28 | { | ||
29 | "description": "", | 29 | "description": "", | ||
30 | "display_name": "Medical Imaging", | 30 | "display_name": "Medical Imaging", | ||
31 | "id": "b86e8f52-a230-44ce-b290-7823c9f6a877", | 31 | "id": "b86e8f52-a230-44ce-b290-7823c9f6a877", | ||
32 | "image_display_url": "", | 32 | "image_display_url": "", | ||
33 | "name": "medical-imaging", | 33 | "name": "medical-imaging", | ||
34 | "title": "Medical Imaging" | 34 | "title": "Medical Imaging" | ||
35 | } | 35 | } | ||
36 | ], | 36 | ], | ||
37 | "id": "94285a8c-0fba-4e3c-9e65-b1b2e8c03e78", | 37 | "id": "94285a8c-0fba-4e3c-9e65-b1b2e8c03e78", | ||
38 | "isopen": false, | 38 | "isopen": false, | ||
39 | "landing_page": "https://www.kaggle.com/c/aptos-2019", | 39 | "landing_page": "https://www.kaggle.com/c/aptos-2019", | ||
40 | "license_title": null, | 40 | "license_title": null, | ||
41 | "link_orkg": "", | 41 | "link_orkg": "", | ||
42 | "metadata_created": "2024-12-16T18:41:57.080315", | 42 | "metadata_created": "2024-12-16T18:41:57.080315", | ||
n | 43 | "metadata_modified": "2024-12-16T18:41:57.080321", | n | 43 | "metadata_modified": "2024-12-16T18:41:57.541410", |
44 | "name": "kaggle-aptos-2019", | 44 | "name": "kaggle-aptos-2019", | ||
45 | "notes": "The dataset used in the paper to evaluate the proposed | 45 | "notes": "The dataset used in the paper to evaluate the proposed | ||
46 | two-stage approximately orthogonal training framework (TAOTF) for Deep | 46 | two-stage approximately orthogonal training framework (TAOTF) for Deep | ||
47 | Neural Networks (DNNs).", | 47 | Neural Networks (DNNs).", | ||
n | 48 | "num_resources": 0, | n | 48 | "num_resources": 1, |
49 | "num_tags": 3, | 49 | "num_tags": 3, | ||
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": "2024-12-16T18:25:36", | ||||
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 | ], | ||||
87 | "description": "The json representation of the dataset with its | ||||
88 | distributions based on DCAT.", | ||||
89 | "format": "JSON", | ||||
90 | "hash": "", | ||||
91 | "id": "3a3ed917-5771-43b1-9e76-ce9dc726e3e2", | ||||
92 | "last_modified": "2024-12-16T18:41:57.534362", | ||||
93 | "metadata_modified": "2024-12-16T18:41:57.544213", | ||||
94 | "mimetype": "application/json", | ||||
95 | "mimetype_inner": null, | ||||
96 | "name": "Original Metadata", | ||||
97 | "package_id": "94285a8c-0fba-4e3c-9e65-b1b2e8c03e78", | ||||
98 | "position": 0, | ||||
99 | "resource_type": null, | ||||
100 | "size": 690, | ||||
101 | "state": "active", | ||||
102 | "url": | ||||
103 | resource/3a3ed917-5771-43b1-9e76-ce9dc726e3e2/download/metadata.json", | ||||
104 | "url_type": "upload" | ||||
105 | } | ||||
106 | ], | ||||
67 | "services_used_list": "", | 107 | "services_used_list": "", | ||
68 | "state": "active", | 108 | "state": "active", | ||
69 | "tags": [ | 109 | "tags": [ | ||
70 | { | 110 | { | ||
71 | "display_name": "Diabetic retinopathy", | 111 | "display_name": "Diabetic retinopathy", | ||
72 | "id": "bc4924d1-2c74-4782-8611-da1a500ac781", | 112 | "id": "bc4924d1-2c74-4782-8611-da1a500ac781", | ||
73 | "name": "Diabetic retinopathy", | 113 | "name": "Diabetic retinopathy", | ||
74 | "state": "active", | 114 | "state": "active", | ||
75 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
76 | }, | 116 | }, | ||
77 | { | 117 | { | ||
78 | "display_name": "Fundus images", | 118 | "display_name": "Fundus images", | ||
79 | "id": "a6e940a5-457a-4e20-bad5-4a4616d6dfac", | 119 | "id": "a6e940a5-457a-4e20-bad5-4a4616d6dfac", | ||
80 | "name": "Fundus images", | 120 | "name": "Fundus images", | ||
81 | "state": "active", | 121 | "state": "active", | ||
82 | "vocabulary_id": null | 122 | "vocabulary_id": null | ||
83 | }, | 123 | }, | ||
84 | { | 124 | { | ||
85 | "display_name": "Medical imaging", | 125 | "display_name": "Medical imaging", | ||
86 | "id": "908e1e3f-6868-417d-a95a-0aed5609076b", | 126 | "id": "908e1e3f-6868-417d-a95a-0aed5609076b", | ||
87 | "name": "Medical imaging", | 127 | "name": "Medical imaging", | ||
88 | "state": "active", | 128 | "state": "active", | ||
89 | "vocabulary_id": null | 129 | "vocabulary_id": null | ||
90 | } | 130 | } | ||
91 | ], | 131 | ], | ||
92 | "title": "Kaggle APTOS 2019", | 132 | "title": "Kaggle APTOS 2019", | ||
93 | "type": "dataset", | 133 | "type": "dataset", | ||
94 | "version": "" | 134 | "version": "" | ||
95 | } | 135 | } |