Changes
On December 2, 2024 at 9:48:18 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Diabetes Dataset -
Changed value of field
doi_date_published
to2024-12-02
in Diabetes Dataset -
Added resource Original Metadata to Diabetes Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Efron et al.", | 3 | "author": "Efron et al.", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2204.13916", | 6 | "https://doi.org/10.48550/arXiv.2204.13916", | ||
7 | "https://doi.org/10.48550/arXiv.2202.04837", | 7 | "https://doi.org/10.48550/arXiv.2202.04837", | ||
8 | "https://doi.org/10.48550/arXiv.2202.05063" | 8 | "https://doi.org/10.48550/arXiv.2202.05063" | ||
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11 | "defined_in": "https://doi.org/10.1016/j.csda.2018.05.016", | 11 | "defined_in": "https://doi.org/10.1016/j.csda.2018.05.016", | ||
12 | "doi": "10.57702/nyb1zbp1", | 12 | "doi": "10.57702/nyb1zbp1", | ||
n | 13 | "doi_date_published": null, | n | 13 | "doi_date_published": "2024-12-02", |
14 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
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16 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
17 | "groups": [ | 17 | "groups": [ | ||
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30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "diabetes", | 31 | "name": "diabetes", | ||
32 | "title": "Diabetes" | 32 | "title": "Diabetes" | ||
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40 | "title": "Healthcare" | 40 | "title": "Healthcare" | ||
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47 | "name": "machine-learning", | 47 | "name": "machine-learning", | ||
48 | "title": "Machine Learning" | 48 | "title": "Machine Learning" | ||
49 | }, | 49 | }, | ||
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54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "medical-records", | 55 | "name": "medical-records", | ||
56 | "title": "Medical Records" | 56 | "title": "Medical Records" | ||
57 | }, | 57 | }, | ||
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62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
63 | "name": "predictive-modeling", | 63 | "name": "predictive-modeling", | ||
64 | "title": "Predictive Modeling" | 64 | "title": "Predictive Modeling" | ||
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70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
71 | "name": "regression", | 71 | "name": "regression", | ||
72 | "title": "Regression" | 72 | "title": "Regression" | ||
73 | } | 73 | } | ||
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76 | "isopen": false, | 76 | "isopen": false, | ||
77 | "landing_page": "https://lars.tu-berlin.de/datasets", | 77 | "landing_page": "https://lars.tu-berlin.de/datasets", | ||
78 | "license_title": null, | 78 | "license_title": null, | ||
79 | "link_orkg": "", | 79 | "link_orkg": "", | ||
80 | "metadata_created": "2024-12-02T21:48:17.144224", | 80 | "metadata_created": "2024-12-02T21:48:17.144224", | ||
n | 81 | "metadata_modified": "2024-12-02T21:48:17.144230", | n | 81 | "metadata_modified": "2024-12-02T21:48:17.713688", |
82 | "name": "diabetes-dataset", | 82 | "name": "diabetes-dataset", | ||
83 | "notes": "The diabetes dataset used in the paper is a 442\u00d710 | 83 | "notes": "The diabetes dataset used in the paper is a 442\u00d710 | ||
84 | dimensional design matrix scaled with unit norm and zero mean and a | 84 | dimensional design matrix scaled with unit norm and zero mean and a | ||
85 | single response vector.", | 85 | single response vector.", | ||
n | 86 | "num_resources": 0, | n | 86 | "num_resources": 1, |
87 | "num_tags": 8, | 87 | "num_tags": 8, | ||
88 | "organization": { | 88 | "organization": { | ||
89 | "approval_status": "approved", | 89 | "approval_status": "approved", | ||
90 | "created": "2024-11-25T12:11:38.292601", | 90 | "created": "2024-11-25T12:11:38.292601", | ||
91 | "description": "", | 91 | "description": "", | ||
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93 | "image_url": "", | 93 | "image_url": "", | ||
94 | "is_organization": true, | 94 | "is_organization": true, | ||
95 | "name": "no-organization", | 95 | "name": "no-organization", | ||
96 | "state": "active", | 96 | "state": "active", | ||
97 | "title": "No Organization", | 97 | "title": "No Organization", | ||
98 | "type": "organization" | 98 | "type": "organization" | ||
99 | }, | 99 | }, | ||
100 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 100 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
101 | "private": false, | 101 | "private": false, | ||
102 | "relationships_as_object": [], | 102 | "relationships_as_object": [], | ||
103 | "relationships_as_subject": [], | 103 | "relationships_as_subject": [], | ||
t | 104 | "resources": [], | t | 104 | "resources": [ |
105 | { | ||||
106 | "cache_last_updated": null, | ||||
107 | "cache_url": null, | ||||
108 | "created": "2024-12-02T22:29:38", | ||||
109 | "data": [ | ||||
110 | "dcterms:title", | ||||
111 | "dcterms:accessRights", | ||||
112 | "dcterms:creator", | ||||
113 | "dcterms:description", | ||||
114 | "dcterms:issued", | ||||
115 | "dcterms:language", | ||||
116 | "dcterms:identifier", | ||||
117 | "dcat:theme", | ||||
118 | "dcterms:type", | ||||
119 | "dcat:keyword", | ||||
120 | "dcat:landingPage", | ||||
121 | "dcterms:hasVersion", | ||||
122 | "dcterms:format", | ||||
123 | "mls:task", | ||||
124 | "datacite:isDescribedBy" | ||||
125 | ], | ||||
126 | "description": "The json representation of the dataset with its | ||||
127 | distributions based on DCAT.", | ||||
128 | "format": "JSON", | ||||
129 | "hash": "", | ||||
130 | "id": "861f578e-a7ba-40ee-949a-b5a131bdea76", | ||||
131 | "last_modified": "2024-12-02T21:48:17.705541", | ||||
132 | "metadata_modified": "2024-12-02T21:48:17.716413", | ||||
133 | "mimetype": "application/json", | ||||
134 | "mimetype_inner": null, | ||||
135 | "name": "Original Metadata", | ||||
136 | "package_id": "73600303-6207-4b80-9b30-d6880a3d3654", | ||||
137 | "position": 0, | ||||
138 | "resource_type": null, | ||||
139 | "size": 1008, | ||||
140 | "state": "active", | ||||
141 | "url": | ||||
142 | resource/861f578e-a7ba-40ee-949a-b5a131bdea76/download/metadata.json", | ||||
143 | "url_type": "upload" | ||||
144 | } | ||||
145 | ], | ||||
105 | "services_used_list": "", | 146 | "services_used_list": "", | ||
106 | "state": "active", | 147 | "state": "active", | ||
107 | "tags": [ | 148 | "tags": [ | ||
108 | { | 149 | { | ||
109 | "display_name": "Classification Analysis", | 150 | "display_name": "Classification Analysis", | ||
110 | "id": "7e0e5a4b-a06a-45f4-bfc7-6b82165e7e4f", | 151 | "id": "7e0e5a4b-a06a-45f4-bfc7-6b82165e7e4f", | ||
111 | "name": "Classification Analysis", | 152 | "name": "Classification Analysis", | ||
112 | "state": "active", | 153 | "state": "active", | ||
113 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
114 | }, | 155 | }, | ||
115 | { | 156 | { | ||
116 | "display_name": "Diabetes", | 157 | "display_name": "Diabetes", | ||
117 | "id": "a9eea88f-20d9-4703-911f-e86ee90f287d", | 158 | "id": "a9eea88f-20d9-4703-911f-e86ee90f287d", | ||
118 | "name": "Diabetes", | 159 | "name": "Diabetes", | ||
119 | "state": "active", | 160 | "state": "active", | ||
120 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
121 | }, | 162 | }, | ||
122 | { | 163 | { | ||
123 | "display_name": "Healthcare", | 164 | "display_name": "Healthcare", | ||
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125 | "name": "Healthcare", | 166 | "name": "Healthcare", | ||
126 | "state": "active", | 167 | "state": "active", | ||
127 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
128 | }, | 169 | }, | ||
129 | { | 170 | { | ||
130 | "display_name": "Medical Records", | 171 | "display_name": "Medical Records", | ||
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132 | "name": "Medical Records", | 173 | "name": "Medical Records", | ||
133 | "state": "active", | 174 | "state": "active", | ||
134 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
135 | }, | 176 | }, | ||
136 | { | 177 | { | ||
137 | "display_name": "Patient Data", | 178 | "display_name": "Patient Data", | ||
138 | "id": "038adfd8-00d9-4739-9000-bcde269afa19", | 179 | "id": "038adfd8-00d9-4739-9000-bcde269afa19", | ||
139 | "name": "Patient Data", | 180 | "name": "Patient Data", | ||
140 | "state": "active", | 181 | "state": "active", | ||
141 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
142 | }, | 183 | }, | ||
143 | { | 184 | { | ||
144 | "display_name": "diabetes dataset", | 185 | "display_name": "diabetes dataset", | ||
145 | "id": "c9014d54-c49a-4b13-8373-fc6a51be849e", | 186 | "id": "c9014d54-c49a-4b13-8373-fc6a51be849e", | ||
146 | "name": "diabetes dataset", | 187 | "name": "diabetes dataset", | ||
147 | "state": "active", | 188 | "state": "active", | ||
148 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
149 | }, | 190 | }, | ||
150 | { | 191 | { | ||
151 | "display_name": "machine learning", | 192 | "display_name": "machine learning", | ||
152 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 193 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
153 | "name": "machine learning", | 194 | "name": "machine learning", | ||
154 | "state": "active", | 195 | "state": "active", | ||
155 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
156 | }, | 197 | }, | ||
157 | { | 198 | { | ||
158 | "display_name": "regression", | 199 | "display_name": "regression", | ||
159 | "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b", | 200 | "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b", | ||
160 | "name": "regression", | 201 | "name": "regression", | ||
161 | "state": "active", | 202 | "state": "active", | ||
162 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
163 | } | 204 | } | ||
164 | ], | 205 | ], | ||
165 | "title": "Diabetes Dataset", | 206 | "title": "Diabetes Dataset", | ||
166 | "type": "dataset", | 207 | "type": "dataset", | ||
167 | "version": "" | 208 | "version": "" | ||
168 | } | 209 | } |