Changes
On January 2, 2025 at 11:48:53 PM UTC, admin:
-
Changed value of field
doi_date_published
to2025-01-02
in Real-world datasets -
Changed value of field
doi_status
toTrue
in Real-world datasets -
Added resource Original Metadata to Real-world datasets
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Gengyu Lyu", | 3 | "author": "Gengyu Lyu", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1803.05814", | 6 | "https://doi.org/10.48550/arXiv.1803.05814", | ||
7 | "https://doi.org/10.48550/arXiv.2210.17405" | 7 | "https://doi.org/10.48550/arXiv.2210.17405" | ||
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.1804.07759", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.1804.07759", | ||
11 | "doi": "10.57702/7mvwhwpv", | 11 | "doi": "10.57702/7mvwhwpv", | ||
n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2025-01-02", |
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": "Songhe Feng", | 18 | "extra_author": "Songhe Feng", | ||
19 | "orcid": "" | 19 | "orcid": "" | ||
20 | }, | 20 | }, | ||
21 | { | 21 | { | ||
22 | "extra_author": "Congyan Lang", | 22 | "extra_author": "Congyan Lang", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | } | 24 | } | ||
25 | ], | 25 | ], | ||
26 | "groups": [ | 26 | "groups": [ | ||
27 | { | 27 | { | ||
28 | "description": "", | 28 | "description": "", | ||
29 | "display_name": "Real-World Data", | 29 | "display_name": "Real-World Data", | ||
30 | "id": "5974ab06-8d1c-46ed-a6c0-4cb4ff5bd30c", | 30 | "id": "5974ab06-8d1c-46ed-a6c0-4cb4ff5bd30c", | ||
31 | "image_display_url": "", | 31 | "image_display_url": "", | ||
32 | "name": "real-world-data", | 32 | "name": "real-world-data", | ||
33 | "title": "Real-World Data" | 33 | "title": "Real-World Data" | ||
34 | }, | 34 | }, | ||
35 | { | 35 | { | ||
36 | "description": "", | 36 | "description": "", | ||
37 | "display_name": "Real-World Datasets", | 37 | "display_name": "Real-World Datasets", | ||
38 | "id": "18b16328-eee0-4e2f-a383-7abbfda1b932", | 38 | "id": "18b16328-eee0-4e2f-a383-7abbfda1b932", | ||
39 | "image_display_url": "", | 39 | "image_display_url": "", | ||
40 | "name": "real-world-datasets", | 40 | "name": "real-world-datasets", | ||
41 | "title": "Real-World Datasets" | 41 | "title": "Real-World Datasets" | ||
42 | }, | 42 | }, | ||
43 | { | 43 | { | ||
44 | "description": "", | 44 | "description": "", | ||
45 | "display_name": "Time Series Forecasting", | 45 | "display_name": "Time Series Forecasting", | ||
46 | "id": "2d0040ff-e50c-4b62-a5dc-c4c0241f05f1", | 46 | "id": "2d0040ff-e50c-4b62-a5dc-c4c0241f05f1", | ||
47 | "image_display_url": "", | 47 | "image_display_url": "", | ||
48 | "name": "time-series-forecasting", | 48 | "name": "time-series-forecasting", | ||
49 | "title": "Time Series Forecasting" | 49 | "title": "Time Series Forecasting" | ||
50 | } | 50 | } | ||
51 | ], | 51 | ], | ||
52 | "id": "d2c1eb5b-c3ea-4c3e-b88f-aaf45a6a8fff", | 52 | "id": "d2c1eb5b-c3ea-4c3e-b88f-aaf45a6a8fff", | ||
53 | "isopen": false, | 53 | "isopen": false, | ||
54 | "landing_page": "https://www.kaggle.com/c/loss-competition/data", | 54 | "landing_page": "https://www.kaggle.com/c/loss-competition/data", | ||
55 | "license_title": null, | 55 | "license_title": null, | ||
56 | "link_orkg": "", | 56 | "link_orkg": "", | ||
57 | "metadata_created": "2025-01-02T23:48:52.118027", | 57 | "metadata_created": "2025-01-02T23:48:52.118027", | ||
n | 58 | "metadata_modified": "2025-01-02T23:48:52.118033", | n | 58 | "metadata_modified": "2025-01-02T23:48:52.670419", |
59 | "name": "real-world-datasets", | 59 | "name": "real-world-datasets", | ||
60 | "notes": "The dataset used in the paper is a real-world dataset | 60 | "notes": "The dataset used in the paper is a real-world dataset | ||
61 | containing currency exchange rates, commodity prices, and meteorology | 61 | containing currency exchange rates, commodity prices, and meteorology | ||
62 | data.", | 62 | data.", | ||
n | 63 | "num_resources": 0, | n | 63 | "num_resources": 1, |
64 | "num_tags": 9, | 64 | "num_tags": 9, | ||
65 | "organization": { | 65 | "organization": { | ||
66 | "approval_status": "approved", | 66 | "approval_status": "approved", | ||
67 | "created": "2024-11-25T12:11:38.292601", | 67 | "created": "2024-11-25T12:11:38.292601", | ||
68 | "description": "", | 68 | "description": "", | ||
69 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 69 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
70 | "image_url": "", | 70 | "image_url": "", | ||
71 | "is_organization": true, | 71 | "is_organization": true, | ||
72 | "name": "no-organization", | 72 | "name": "no-organization", | ||
73 | "state": "active", | 73 | "state": "active", | ||
74 | "title": "No Organization", | 74 | "title": "No Organization", | ||
75 | "type": "organization" | 75 | "type": "organization" | ||
76 | }, | 76 | }, | ||
77 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 77 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
78 | "private": false, | 78 | "private": false, | ||
79 | "relationships_as_object": [], | 79 | "relationships_as_object": [], | ||
80 | "relationships_as_subject": [], | 80 | "relationships_as_subject": [], | ||
t | 81 | "resources": [], | t | 81 | "resources": [ |
82 | { | ||||
83 | "cache_last_updated": null, | ||||
84 | "cache_url": null, | ||||
85 | "created": "2025-01-03T00:16:30", | ||||
86 | "data": [ | ||||
87 | "dcterms:title", | ||||
88 | "dcterms:accessRights", | ||||
89 | "dcterms:creator", | ||||
90 | "dcterms:description", | ||||
91 | "dcterms:issued", | ||||
92 | "dcterms:language", | ||||
93 | "dcterms:identifier", | ||||
94 | "dcat:theme", | ||||
95 | "dcterms:type", | ||||
96 | "dcat:keyword", | ||||
97 | "dcat:landingPage", | ||||
98 | "dcterms:hasVersion", | ||||
99 | "dcterms:format", | ||||
100 | "mls:task", | ||||
101 | "datacite:isDescribedBy" | ||||
102 | ], | ||||
103 | "description": "The json representation of the dataset with its | ||||
104 | distributions based on DCAT.", | ||||
105 | "format": "JSON", | ||||
106 | "hash": "", | ||||
107 | "id": "33adbf50-7f5a-48fe-9383-3e287aa97330", | ||||
108 | "last_modified": "2025-01-02T23:48:52.662195", | ||||
109 | "metadata_modified": "2025-01-02T23:48:52.673281", | ||||
110 | "mimetype": "application/json", | ||||
111 | "mimetype_inner": null, | ||||
112 | "name": "Original Metadata", | ||||
113 | "package_id": "d2c1eb5b-c3ea-4c3e-b88f-aaf45a6a8fff", | ||||
114 | "position": 0, | ||||
115 | "resource_type": null, | ||||
116 | "size": 1044, | ||||
117 | "state": "active", | ||||
118 | "url": | ||||
119 | resource/33adbf50-7f5a-48fe-9383-3e287aa97330/download/metadata.json", | ||||
120 | "url_type": "upload" | ||||
121 | } | ||||
122 | ], | ||||
82 | "services_used_list": "", | 123 | "services_used_list": "", | ||
83 | "state": "active", | 124 | "state": "active", | ||
84 | "tags": [ | 125 | "tags": [ | ||
85 | { | 126 | { | ||
86 | "display_name": "Conformal prediction", | 127 | "display_name": "Conformal prediction", | ||
87 | "id": "f50c5912-f33c-4f2c-9e4b-4e73feeac22f", | 128 | "id": "f50c5912-f33c-4f2c-9e4b-4e73feeac22f", | ||
88 | "name": "Conformal prediction", | 129 | "name": "Conformal prediction", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
91 | }, | 132 | }, | ||
92 | { | 133 | { | ||
93 | "display_name": "Multi-output regression", | 134 | "display_name": "Multi-output regression", | ||
94 | "id": "a434d1d2-b156-4646-a602-275d96d73aaf", | 135 | "id": "a434d1d2-b156-4646-a602-275d96d73aaf", | ||
95 | "name": "Multi-output regression", | 136 | "name": "Multi-output regression", | ||
96 | "state": "active", | 137 | "state": "active", | ||
97 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
98 | }, | 139 | }, | ||
99 | { | 140 | { | ||
100 | "display_name": "Real-world data", | 141 | "display_name": "Real-world data", | ||
101 | "id": "4fe40c7a-d940-46b1-98d0-76dc8d32201b", | 142 | "id": "4fe40c7a-d940-46b1-98d0-76dc8d32201b", | ||
102 | "name": "Real-world data", | 143 | "name": "Real-world data", | ||
103 | "state": "active", | 144 | "state": "active", | ||
104 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
105 | }, | 146 | }, | ||
106 | { | 147 | { | ||
107 | "display_name": "commodity prices", | 148 | "display_name": "commodity prices", | ||
108 | "id": "06aa9d79-0ece-48d4-9c01-d4174bc7e3d0", | 149 | "id": "06aa9d79-0ece-48d4-9c01-d4174bc7e3d0", | ||
109 | "name": "commodity prices", | 150 | "name": "commodity prices", | ||
110 | "state": "active", | 151 | "state": "active", | ||
111 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
112 | }, | 153 | }, | ||
113 | { | 154 | { | ||
114 | "display_name": "currency exchange rates", | 155 | "display_name": "currency exchange rates", | ||
115 | "id": "9b1982d8-8dfb-4639-9676-267d193e34f8", | 156 | "id": "9b1982d8-8dfb-4639-9676-267d193e34f8", | ||
116 | "name": "currency exchange rates", | 157 | "name": "currency exchange rates", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
119 | }, | 160 | }, | ||
120 | { | 161 | { | ||
121 | "display_name": "meteorology data", | 162 | "display_name": "meteorology data", | ||
122 | "id": "83aaa904-f7dd-4bea-bb12-90f9c97f1ac9", | 163 | "id": "83aaa904-f7dd-4bea-bb12-90f9c97f1ac9", | ||
123 | "name": "meteorology data", | 164 | "name": "meteorology data", | ||
124 | "state": "active", | 165 | "state": "active", | ||
125 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
126 | }, | 167 | }, | ||
127 | { | 168 | { | ||
128 | "display_name": "partial-label learning", | 169 | "display_name": "partial-label learning", | ||
129 | "id": "bc372857-721d-4f92-bbe3-91742fc16d5a", | 170 | "id": "bc372857-721d-4f92-bbe3-91742fc16d5a", | ||
130 | "name": "partial-label learning", | 171 | "name": "partial-label learning", | ||
131 | "state": "active", | 172 | "state": "active", | ||
132 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
133 | }, | 174 | }, | ||
134 | { | 175 | { | ||
135 | "display_name": "real-world datasets", | 176 | "display_name": "real-world datasets", | ||
136 | "id": "2774463c-c947-4011-b998-243722d247ce", | 177 | "id": "2774463c-c947-4011-b998-243722d247ce", | ||
137 | "name": "real-world datasets", | 178 | "name": "real-world datasets", | ||
138 | "state": "active", | 179 | "state": "active", | ||
139 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
140 | }, | 181 | }, | ||
141 | { | 182 | { | ||
142 | "display_name": "self-paced regularization", | 183 | "display_name": "self-paced regularization", | ||
143 | "id": "ecd524c8-6572-4e3b-915f-ce6df2309384", | 184 | "id": "ecd524c8-6572-4e3b-915f-ce6df2309384", | ||
144 | "name": "self-paced regularization", | 185 | "name": "self-paced regularization", | ||
145 | "state": "active", | 186 | "state": "active", | ||
146 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
147 | } | 188 | } | ||
148 | ], | 189 | ], | ||
149 | "title": "Real-world datasets", | 190 | "title": "Real-world datasets", | ||
150 | "type": "dataset", | 191 | "type": "dataset", | ||
151 | "version": "" | 192 | "version": "" | ||
152 | } | 193 | } |