Changes
On December 16, 2024 at 7:01:11 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Dataset 1 -
Changed value of field
doi_date_published
to2024-12-16
in Dataset 1 -
Added resource Original Metadata to Dataset 1
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yusuke Nagira", | 3 | "author": "Yusuke Nagira", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1912.01166", | 6 | "https://doi.org/10.48550/arXiv.1912.01166", | ||
7 | "https://doi.org/10.1016/j.knosys.2020.105992" | 7 | "https://doi.org/10.1016/j.knosys.2020.105992" | ||
8 | ], | 8 | ], | ||
9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
10 | "defined_in": "https://doi.org/10.48550/arXiv.1810.04440", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.1810.04440", | ||
11 | "doi": "10.57702/uu07oa4u", | 11 | "doi": "10.57702/uu07oa4u", | ||
n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-16", |
13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
n | 14 | "doi_status": false, | n | 14 | "doi_status": true, |
15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
17 | { | 17 | { | ||
18 | "extra_author": "Yuzuha Hara", | 18 | "extra_author": "Yuzuha Hara", | ||
19 | "orcid": "" | 19 | "orcid": "" | ||
20 | }, | 20 | }, | ||
21 | { | 21 | { | ||
22 | "extra_author": "Satoru Hiwa", | 22 | "extra_author": "Satoru Hiwa", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "extra_author": "Naoki Okumura", | 26 | "extra_author": "Naoki Okumura", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "extra_author": "Noriko Koizumi", | 30 | "extra_author": "Noriko Koizumi", | ||
31 | "orcid": "" | 31 | "orcid": "" | ||
32 | }, | 32 | }, | ||
33 | { | 33 | { | ||
34 | "extra_author": "Tomoyuki Hiroyasu", | 34 | "extra_author": "Tomoyuki Hiroyasu", | ||
35 | "orcid": "" | 35 | "orcid": "" | ||
36 | } | 36 | } | ||
37 | ], | 37 | ], | ||
38 | "groups": [ | 38 | "groups": [ | ||
39 | { | 39 | { | ||
40 | "description": "", | 40 | "description": "", | ||
41 | "display_name": "EEG", | 41 | "display_name": "EEG", | ||
42 | "id": "58f15b29-5bef-4b33-8aac-b627396ae0d1", | 42 | "id": "58f15b29-5bef-4b33-8aac-b627396ae0d1", | ||
43 | "image_display_url": "", | 43 | "image_display_url": "", | ||
44 | "name": "eeg", | 44 | "name": "eeg", | ||
45 | "title": "EEG" | 45 | "title": "EEG" | ||
46 | }, | 46 | }, | ||
47 | { | 47 | { | ||
48 | "description": "", | 48 | "description": "", | ||
49 | "display_name": "Educational Data Mining", | 49 | "display_name": "Educational Data Mining", | ||
50 | "id": "189ecc87-4b6e-41ff-b10f-8d41f748aa7a", | 50 | "id": "189ecc87-4b6e-41ff-b10f-8d41f748aa7a", | ||
51 | "image_display_url": "", | 51 | "image_display_url": "", | ||
52 | "name": "educational-data-mining", | 52 | "name": "educational-data-mining", | ||
53 | "title": "Educational Data Mining" | 53 | "title": "Educational Data Mining" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "description": "", | 56 | "description": "", | ||
57 | "display_name": "Eye Tracking", | 57 | "display_name": "Eye Tracking", | ||
58 | "id": "ace34eff-ad3b-4126-a970-32c267180725", | 58 | "id": "ace34eff-ad3b-4126-a970-32c267180725", | ||
59 | "image_display_url": "", | 59 | "image_display_url": "", | ||
60 | "name": "eye-tracking", | 60 | "name": "eye-tracking", | ||
61 | "title": "Eye Tracking" | 61 | "title": "Eye Tracking" | ||
62 | }, | 62 | }, | ||
63 | { | 63 | { | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "display_name": "Motor Imagery", | 65 | "display_name": "Motor Imagery", | ||
66 | "id": "85ac4f37-5f46-4f4f-8fc9-0119ba954e71", | 66 | "id": "85ac4f37-5f46-4f4f-8fc9-0119ba954e71", | ||
67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
68 | "name": "motor-imagery", | 68 | "name": "motor-imagery", | ||
69 | "title": "Motor Imagery" | 69 | "title": "Motor Imagery" | ||
70 | }, | 70 | }, | ||
71 | { | 71 | { | ||
72 | "description": "", | 72 | "description": "", | ||
73 | "display_name": "Student Performance Prediction", | 73 | "display_name": "Student Performance Prediction", | ||
74 | "id": "3e0c526e-95d0-4780-bc5a-7513d77a6fae", | 74 | "id": "3e0c526e-95d0-4780-bc5a-7513d77a6fae", | ||
75 | "image_display_url": "", | 75 | "image_display_url": "", | ||
76 | "name": "student-performance-prediction", | 76 | "name": "student-performance-prediction", | ||
77 | "title": "Student Performance Prediction" | 77 | "title": "Student Performance Prediction" | ||
78 | } | 78 | } | ||
79 | ], | 79 | ], | ||
80 | "id": "ce7e883b-d01c-4e53-91fd-667d392e23ea", | 80 | "id": "ce7e883b-d01c-4e53-91fd-667d392e23ea", | ||
81 | "isopen": false, | 81 | "isopen": false, | ||
82 | "landing_page": "http://www.bbci.de/competition/iv/desc 1.html", | 82 | "landing_page": "http://www.bbci.de/competition/iv/desc 1.html", | ||
83 | "license_title": null, | 83 | "license_title": null, | ||
84 | "link_orkg": "", | 84 | "link_orkg": "", | ||
85 | "metadata_created": "2024-12-16T19:01:09.474419", | 85 | "metadata_created": "2024-12-16T19:01:09.474419", | ||
n | 86 | "metadata_modified": "2024-12-16T19:01:09.474427", | n | 86 | "metadata_modified": "2024-12-16T19:01:09.889929", |
87 | "name": "dataset-1", | 87 | "name": "dataset-1", | ||
88 | "notes": "The dataset consists of records of 52 first year students | 88 | "notes": "The dataset consists of records of 52 first year students | ||
89 | who completed the undergraduate engineering course (out of 115 | 89 | who completed the undergraduate engineering course (out of 115 | ||
90 | registered students) at the University of Genoa.", | 90 | registered students) at the University of Genoa.", | ||
n | 91 | "num_resources": 0, | n | 91 | "num_resources": 1, |
92 | "num_tags": 12, | 92 | "num_tags": 12, | ||
93 | "organization": { | 93 | "organization": { | ||
94 | "approval_status": "approved", | 94 | "approval_status": "approved", | ||
95 | "created": "2024-11-25T12:11:38.292601", | 95 | "created": "2024-11-25T12:11:38.292601", | ||
96 | "description": "", | 96 | "description": "", | ||
97 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 97 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
98 | "image_url": "", | 98 | "image_url": "", | ||
99 | "is_organization": true, | 99 | "is_organization": true, | ||
100 | "name": "no-organization", | 100 | "name": "no-organization", | ||
101 | "state": "active", | 101 | "state": "active", | ||
102 | "title": "No Organization", | 102 | "title": "No Organization", | ||
103 | "type": "organization" | 103 | "type": "organization" | ||
104 | }, | 104 | }, | ||
105 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 105 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
106 | "private": false, | 106 | "private": false, | ||
107 | "relationships_as_object": [], | 107 | "relationships_as_object": [], | ||
108 | "relationships_as_subject": [], | 108 | "relationships_as_subject": [], | ||
t | 109 | "resources": [], | t | 109 | "resources": [ |
110 | { | ||||
111 | "cache_last_updated": null, | ||||
112 | "cache_url": null, | ||||
113 | "created": "2024-12-16T18:25:38", | ||||
114 | "data": [ | ||||
115 | "dcterms:title", | ||||
116 | "dcterms:accessRights", | ||||
117 | "dcterms:creator", | ||||
118 | "dcterms:description", | ||||
119 | "dcterms:issued", | ||||
120 | "dcterms:language", | ||||
121 | "dcterms:identifier", | ||||
122 | "dcat:theme", | ||||
123 | "dcterms:type", | ||||
124 | "dcat:keyword", | ||||
125 | "dcat:landingPage", | ||||
126 | "dcterms:hasVersion", | ||||
127 | "dcterms:format", | ||||
128 | "mls:task", | ||||
129 | "datacite:isDescribedBy" | ||||
130 | ], | ||||
131 | "description": "The json representation of the dataset with its | ||||
132 | distributions based on DCAT.", | ||||
133 | "format": "JSON", | ||||
134 | "hash": "", | ||||
135 | "id": "b0a343fe-ed99-41b0-845f-0ec9c23e53ac", | ||||
136 | "last_modified": "2024-12-16T19:01:09.881135", | ||||
137 | "metadata_modified": "2024-12-16T19:01:09.892951", | ||||
138 | "mimetype": "application/json", | ||||
139 | "mimetype_inner": null, | ||||
140 | "name": "Original Metadata", | ||||
141 | "package_id": "ce7e883b-d01c-4e53-91fd-667d392e23ea", | ||||
142 | "position": 0, | ||||
143 | "resource_type": null, | ||||
144 | "size": 1378, | ||||
145 | "state": "active", | ||||
146 | "url": | ||||
147 | resource/b0a343fe-ed99-41b0-845f-0ec9c23e53ac/download/metadata.json", | ||||
148 | "url_type": "upload" | ||||
149 | } | ||||
150 | ], | ||||
110 | "services_used_list": "", | 151 | "services_used_list": "", | ||
111 | "state": "active", | 152 | "state": "active", | ||
112 | "tags": [ | 153 | "tags": [ | ||
113 | { | 154 | { | ||
114 | "display_name": "Brain-Computer Interfaces", | 155 | "display_name": "Brain-Computer Interfaces", | ||
115 | "id": "ab94c2cb-e9fe-413b-a737-67ab69589dc1", | 156 | "id": "ab94c2cb-e9fe-413b-a737-67ab69589dc1", | ||
116 | "name": "Brain-Computer Interfaces", | 157 | "name": "Brain-Computer Interfaces", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
119 | }, | 160 | }, | ||
120 | { | 161 | { | ||
121 | "display_name": "EEG", | 162 | "display_name": "EEG", | ||
122 | "id": "f84b0d4f-fe38-4628-b244-01ee2b51bcc7", | 163 | "id": "f84b0d4f-fe38-4628-b244-01ee2b51bcc7", | ||
123 | "name": "EEG", | 164 | "name": "EEG", | ||
124 | "state": "active", | 165 | "state": "active", | ||
125 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
126 | }, | 167 | }, | ||
127 | { | 168 | { | ||
128 | "display_name": "Educational Data Mining", | 169 | "display_name": "Educational Data Mining", | ||
129 | "id": "ec2ffe26-db5a-4190-8905-bfacde910c55", | 170 | "id": "ec2ffe26-db5a-4190-8905-bfacde910c55", | ||
130 | "name": "Educational Data Mining", | 171 | "name": "Educational Data Mining", | ||
131 | "state": "active", | 172 | "state": "active", | ||
132 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
133 | }, | 174 | }, | ||
134 | { | 175 | { | ||
135 | "display_name": "Motor Imagery", | 176 | "display_name": "Motor Imagery", | ||
136 | "id": "8723fa98-2d6e-48ab-9527-dfe4c6d5e292", | 177 | "id": "8723fa98-2d6e-48ab-9527-dfe4c6d5e292", | ||
137 | "name": "Motor Imagery", | 178 | "name": "Motor Imagery", | ||
138 | "state": "active", | 179 | "state": "active", | ||
139 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
140 | }, | 181 | }, | ||
141 | { | 182 | { | ||
142 | "display_name": "Student Performance Prediction", | 183 | "display_name": "Student Performance Prediction", | ||
143 | "id": "896cbaca-af21-438d-bcc4-ff6ab2c9307f", | 184 | "id": "896cbaca-af21-438d-bcc4-ff6ab2c9307f", | ||
144 | "name": "Student Performance Prediction", | 185 | "name": "Student Performance Prediction", | ||
145 | "state": "active", | 186 | "state": "active", | ||
146 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
147 | }, | 188 | }, | ||
148 | { | 189 | { | ||
149 | "display_name": "U-Net", | 190 | "display_name": "U-Net", | ||
150 | "id": "0faaa9fc-403b-44fd-adf7-a3ee0d891ed3", | 191 | "id": "0faaa9fc-403b-44fd-adf7-a3ee0d891ed3", | ||
151 | "name": "U-Net", | 192 | "name": "U-Net", | ||
152 | "state": "active", | 193 | "state": "active", | ||
153 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
154 | }, | 195 | }, | ||
155 | { | 196 | { | ||
156 | "display_name": "Undergraduate Engineering Course", | 197 | "display_name": "Undergraduate Engineering Course", | ||
157 | "id": "05331f86-4874-4e32-9697-bb37840e3899", | 198 | "id": "05331f86-4874-4e32-9697-bb37840e3899", | ||
158 | "name": "Undergraduate Engineering Course", | 199 | "name": "Undergraduate Engineering Course", | ||
159 | "state": "active", | 200 | "state": "active", | ||
160 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
161 | }, | 202 | }, | ||
162 | { | 203 | { | ||
163 | "display_name": "corneal endothelial cell", | 204 | "display_name": "corneal endothelial cell", | ||
164 | "id": "e75fa094-dc9f-4d9d-af40-4865fac23dfe", | 205 | "id": "e75fa094-dc9f-4d9d-af40-4865fac23dfe", | ||
165 | "name": "corneal endothelial cell", | 206 | "name": "corneal endothelial cell", | ||
166 | "state": "active", | 207 | "state": "active", | ||
167 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
168 | }, | 209 | }, | ||
169 | { | 210 | { | ||
170 | "display_name": "guttae", | 211 | "display_name": "guttae", | ||
171 | "id": "fe312d8b-f5f1-45da-ad51-53240e221af2", | 212 | "id": "fe312d8b-f5f1-45da-ad51-53240e221af2", | ||
172 | "name": "guttae", | 213 | "name": "guttae", | ||
173 | "state": "active", | 214 | "state": "active", | ||
174 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
175 | }, | 216 | }, | ||
176 | { | 217 | { | ||
177 | "display_name": "segmentation", | 218 | "display_name": "segmentation", | ||
178 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | 219 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | ||
179 | "name": "segmentation", | 220 | "name": "segmentation", | ||
180 | "state": "active", | 221 | "state": "active", | ||
181 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
182 | }, | 223 | }, | ||
183 | { | 224 | { | ||
184 | "display_name": "sentence comprehension", | 225 | "display_name": "sentence comprehension", | ||
185 | "id": "9a46cec8-38cb-415a-bd6c-dcb2195d356c", | 226 | "id": "9a46cec8-38cb-415a-bd6c-dcb2195d356c", | ||
186 | "name": "sentence comprehension", | 227 | "name": "sentence comprehension", | ||
187 | "state": "active", | 228 | "state": "active", | ||
188 | "vocabulary_id": null | 229 | "vocabulary_id": null | ||
189 | }, | 230 | }, | ||
190 | { | 231 | { | ||
191 | "display_name": "verb prominence", | 232 | "display_name": "verb prominence", | ||
192 | "id": "ab42ad43-02fd-4565-85e6-5a99141e5e19", | 233 | "id": "ab42ad43-02fd-4565-85e6-5a99141e5e19", | ||
193 | "name": "verb prominence", | 234 | "name": "verb prominence", | ||
194 | "state": "active", | 235 | "state": "active", | ||
195 | "vocabulary_id": null | 236 | "vocabulary_id": null | ||
196 | } | 237 | } | ||
197 | ], | 238 | ], | ||
198 | "title": "Dataset 1", | 239 | "title": "Dataset 1", | ||
199 | "type": "dataset", | 240 | "type": "dataset", | ||
200 | "version": "1.0" | 241 | "version": "1.0" | ||
201 | } | 242 | } |