Changes
On January 3, 2025 at 12:52:41 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Boston dataset -
Changed value of field
doi_date_published
to2025-01-03
in Boston dataset -
Added resource Original Metadata to Boston dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Dan-Bo Zhang", | 3 | "author": "Dan-Bo Zhang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.1103/PhysRevLett.124.010506" | 6 | "https://doi.org/10.1103/PhysRevLett.124.010506" | ||
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.1712.04828", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.1712.04828", | ||
10 | "doi": "10.57702/2yooge51", | 10 | "doi": "10.57702/2yooge51", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2025-01-03", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
n | 13 | "doi_status": false, | n | 13 | "doi_status": true, |
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": "Shi-Liang Zhu", | 17 | "extra_author": "Shi-Liang Zhu", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Z. D. Wang", | 21 | "extra_author": "Z. D. Wang", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | } | 23 | } | ||
24 | ], | 24 | ], | ||
25 | "groups": [ | 25 | "groups": [ | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "Regression", | 28 | "display_name": "Regression", | ||
29 | "id": "36d9eacb-af2f-490b-a390-0dffafc2b613", | 29 | "id": "36d9eacb-af2f-490b-a390-0dffafc2b613", | ||
30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "regression", | 31 | "name": "regression", | ||
32 | "title": "Regression" | 32 | "title": "Regression" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "id": "446a79c3-4d22-4bd0-a958-c7a19d0bcb1b", | 35 | "id": "446a79c3-4d22-4bd0-a958-c7a19d0bcb1b", | ||
36 | "isopen": false, | 36 | "isopen": false, | ||
37 | "landing_page": "https://statlib.cs.ucla.edu/sml/boston.html", | 37 | "landing_page": "https://statlib.cs.ucla.edu/sml/boston.html", | ||
38 | "license_title": null, | 38 | "license_title": null, | ||
39 | "link_orkg": "", | 39 | "link_orkg": "", | ||
40 | "metadata_created": "2025-01-03T00:52:39.766162", | 40 | "metadata_created": "2025-01-03T00:52:39.766162", | ||
n | 41 | "metadata_modified": "2025-01-03T00:52:39.766169", | n | 41 | "metadata_modified": "2025-01-03T00:52:40.318582", |
42 | "name": "boston-dataset", | 42 | "name": "boston-dataset", | ||
43 | "notes": "The Boston dataset is a well-known, small dataset (506 | 43 | "notes": "The Boston dataset is a well-known, small dataset (506 | ||
44 | in-stances) available from the StatLib repository that is popular for | 44 | in-stances) available from the StatLib repository that is popular for | ||
45 | evaluating regression models. It contains information on Boston | 45 | evaluating regression models. It contains information on Boston | ||
46 | housing characteristics and values. The target variable is the median | 46 | housing characteristics and values. The target variable is the median | ||
47 | value of owner-occupied homes in different areas.", | 47 | value of owner-occupied homes in different areas.", | ||
n | 48 | "num_resources": 0, | n | 48 | "num_resources": 1, |
49 | "num_tags": 6, | 49 | "num_tags": 6, | ||
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": "2025-01-03T00:16:34", | ||||
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": "4e50b638-bc06-4e34-8f0e-39e68e0f301c", | ||||
93 | "last_modified": "2025-01-03T00:52:40.309599", | ||||
94 | "metadata_modified": "2025-01-03T00:52:40.321357", | ||||
95 | "mimetype": "application/json", | ||||
96 | "mimetype_inner": null, | ||||
97 | "name": "Original Metadata", | ||||
98 | "package_id": "446a79c3-4d22-4bd0-a958-c7a19d0bcb1b", | ||||
99 | "position": 0, | ||||
100 | "resource_type": null, | ||||
101 | "size": 986, | ||||
102 | "state": "active", | ||||
103 | "url": | ||||
104 | resource/4e50b638-bc06-4e34-8f0e-39e68e0f301c/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": "Boston dataset", | 112 | "display_name": "Boston dataset", | ||
72 | "id": "42e9a263-e68b-4da6-8eee-558ed1467c58", | 113 | "id": "42e9a263-e68b-4da6-8eee-558ed1467c58", | ||
73 | "name": "Boston dataset", | 114 | "name": "Boston dataset", | ||
74 | "state": "active", | 115 | "state": "active", | ||
75 | "vocabulary_id": null | 116 | "vocabulary_id": null | ||
76 | }, | 117 | }, | ||
77 | { | 118 | { | ||
78 | "display_name": "Boston housing", | 119 | "display_name": "Boston housing", | ||
79 | "id": "08502b0f-fa9f-4061-9926-49fbf2932cb6", | 120 | "id": "08502b0f-fa9f-4061-9926-49fbf2932cb6", | ||
80 | "name": "Boston housing", | 121 | "name": "Boston housing", | ||
81 | "state": "active", | 122 | "state": "active", | ||
82 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
83 | }, | 124 | }, | ||
84 | { | 125 | { | ||
85 | "display_name": "median value", | 126 | "display_name": "median value", | ||
86 | "id": "e19e64cb-90e4-4053-83da-ea040287a176", | 127 | "id": "e19e64cb-90e4-4053-83da-ea040287a176", | ||
87 | "name": "median value", | 128 | "name": "median value", | ||
88 | "state": "active", | 129 | "state": "active", | ||
89 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
90 | }, | 131 | }, | ||
91 | { | 132 | { | ||
92 | "display_name": "nonparametric regression", | 133 | "display_name": "nonparametric regression", | ||
93 | "id": "c28a8df4-917c-4234-b883-316fc4421767", | 134 | "id": "c28a8df4-917c-4234-b883-316fc4421767", | ||
94 | "name": "nonparametric regression", | 135 | "name": "nonparametric regression", | ||
95 | "state": "active", | 136 | "state": "active", | ||
96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | }, | 138 | }, | ||
98 | { | 139 | { | ||
99 | "display_name": "quantum machine learning", | 140 | "display_name": "quantum machine learning", | ||
100 | "id": "de9c9892-5019-49b9-bd9d-426150e777be", | 141 | "id": "de9c9892-5019-49b9-bd9d-426150e777be", | ||
101 | "name": "quantum machine learning", | 142 | "name": "quantum machine learning", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
105 | { | 146 | { | ||
106 | "display_name": "regression", | 147 | "display_name": "regression", | ||
107 | "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b", | 148 | "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b", | ||
108 | "name": "regression", | 149 | "name": "regression", | ||
109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | } | 152 | } | ||
112 | ], | 153 | ], | ||
113 | "title": "Boston dataset", | 154 | "title": "Boston dataset", | ||
114 | "type": "dataset", | 155 | "type": "dataset", | ||
115 | "version": "" | 156 | "version": "" | ||
116 | } | 157 | } |