Changes
On December 2, 2024 at 11:33:48 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in WADI -
Changed value of field
doi_date_published
to2024-12-02
in WADI -
Added resource Original Metadata to WADI
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Zekai Chen", | 3 | "author": "Zekai Chen", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.1109/JIOT.2021.3100509" | 6 | "https://doi.org/10.1109/JIOT.2021.3100509" | ||
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/10.1016/j.patcog.2022.108945", | 9 | "defined_in": "https://doi.org/10.1016/j.patcog.2022.108945", | ||
10 | "doi": "10.57702/76ptt849", | 10 | "doi": "10.57702/76ptt849", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-02", |
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": "Dingshuo Chen", | 17 | "extra_author": "Dingshuo Chen", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Xiao Zhang", | 21 | "extra_author": "Xiao Zhang", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Zixuan Yuan", | 25 | "extra_author": "Zixuan Yuan", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Xiuzhen Cheng", | 29 | "extra_author": "Xiuzhen Cheng", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | } | 31 | } | ||
32 | ], | 32 | ], | ||
33 | "groups": [ | 33 | "groups": [ | ||
34 | { | 34 | { | ||
35 | "description": "", | 35 | "description": "", | ||
36 | "display_name": "Anomaly Detection", | 36 | "display_name": "Anomaly Detection", | ||
37 | "id": "469caeeb-2eee-4858-a0f3-692b4da09dfe", | 37 | "id": "469caeeb-2eee-4858-a0f3-692b4da09dfe", | ||
38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "anomaly-detection", | 39 | "name": "anomaly-detection", | ||
40 | "title": "Anomaly Detection" | 40 | "title": "Anomaly Detection" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Multivariate Time Series", | 44 | "display_name": "Multivariate Time Series", | ||
45 | "id": "d9016775-d983-4eab-8242-222f0f12f936", | 45 | "id": "d9016775-d983-4eab-8242-222f0f12f936", | ||
46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "multivariate-time-series", | 47 | "name": "multivariate-time-series", | ||
48 | "title": "Multivariate Time Series" | 48 | "title": "Multivariate Time Series" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "description": "", | 51 | "description": "", | ||
52 | "display_name": "Multivariate Time Series Anomaly Detection", | 52 | "display_name": "Multivariate Time Series Anomaly Detection", | ||
53 | "id": "b31e6261-34d4-4f00-901c-a97b1bd91c1a", | 53 | "id": "b31e6261-34d4-4f00-901c-a97b1bd91c1a", | ||
54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "multivariate-time-series-anomaly-detection", | 55 | "name": "multivariate-time-series-anomaly-detection", | ||
56 | "title": "Multivariate Time Series Anomaly Detection" | 56 | "title": "Multivariate Time Series Anomaly Detection" | ||
57 | } | 57 | } | ||
58 | ], | 58 | ], | ||
59 | "id": "3f8cfd8b-ac9f-494b-9102-1169ec08ee07", | 59 | "id": "3f8cfd8b-ac9f-494b-9102-1169ec08ee07", | ||
60 | "isopen": false, | 60 | "isopen": false, | ||
61 | "landing_page": "https://github.com/ZEKAICHEN/GTA", | 61 | "landing_page": "https://github.com/ZEKAICHEN/GTA", | ||
62 | "license_title": null, | 62 | "license_title": null, | ||
63 | "link_orkg": "", | 63 | "link_orkg": "", | ||
64 | "metadata_created": "2024-12-02T23:33:46.446468", | 64 | "metadata_created": "2024-12-02T23:33:46.446468", | ||
n | 65 | "metadata_modified": "2024-12-02T23:33:46.446475", | n | 65 | "metadata_modified": "2024-12-02T23:33:46.993662", |
66 | "name": "wadi", | 66 | "name": "wadi", | ||
67 | "notes": "The dataset is used for multivariate time series anomaly | 67 | "notes": "The dataset is used for multivariate time series anomaly | ||
68 | detection in IoT. It contains multivariate time series data from | 68 | detection in IoT. It contains multivariate time series data from | ||
69 | various IoT sensors.", | 69 | various IoT sensors.", | ||
n | 70 | "num_resources": 0, | n | 70 | "num_resources": 1, |
71 | "num_tags": 3, | 71 | "num_tags": 3, | ||
72 | "organization": { | 72 | "organization": { | ||
73 | "approval_status": "approved", | 73 | "approval_status": "approved", | ||
74 | "created": "2024-11-25T12:11:38.292601", | 74 | "created": "2024-11-25T12:11:38.292601", | ||
75 | "description": "", | 75 | "description": "", | ||
76 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 76 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
77 | "image_url": "", | 77 | "image_url": "", | ||
78 | "is_organization": true, | 78 | "is_organization": true, | ||
79 | "name": "no-organization", | 79 | "name": "no-organization", | ||
80 | "state": "active", | 80 | "state": "active", | ||
81 | "title": "No Organization", | 81 | "title": "No Organization", | ||
82 | "type": "organization" | 82 | "type": "organization" | ||
83 | }, | 83 | }, | ||
84 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 84 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
85 | "private": false, | 85 | "private": false, | ||
86 | "relationships_as_object": [], | 86 | "relationships_as_object": [], | ||
87 | "relationships_as_subject": [], | 87 | "relationships_as_subject": [], | ||
t | 88 | "resources": [], | t | 88 | "resources": [ |
89 | { | ||||
90 | "cache_last_updated": null, | ||||
91 | "cache_url": null, | ||||
92 | "created": "2024-12-03T00:20:35", | ||||
93 | "data": [ | ||||
94 | "dcterms:title", | ||||
95 | "dcterms:accessRights", | ||||
96 | "dcterms:creator", | ||||
97 | "dcterms:description", | ||||
98 | "dcterms:issued", | ||||
99 | "dcterms:language", | ||||
100 | "dcterms:identifier", | ||||
101 | "dcat:theme", | ||||
102 | "dcterms:type", | ||||
103 | "dcat:keyword", | ||||
104 | "dcat:landingPage", | ||||
105 | "dcterms:hasVersion", | ||||
106 | "dcterms:format", | ||||
107 | "mls:task", | ||||
108 | "datacite:isDescribedBy" | ||||
109 | ], | ||||
110 | "description": "The json representation of the dataset with its | ||||
111 | distributions based on DCAT.", | ||||
112 | "format": "JSON", | ||||
113 | "hash": "", | ||||
114 | "id": "42a148ef-10d1-411a-a8f3-babcdd831778", | ||||
115 | "last_modified": "2024-12-02T23:33:46.986200", | ||||
116 | "metadata_modified": "2024-12-02T23:33:46.996518", | ||||
117 | "mimetype": "application/json", | ||||
118 | "mimetype_inner": null, | ||||
119 | "name": "Original Metadata", | ||||
120 | "package_id": "3f8cfd8b-ac9f-494b-9102-1169ec08ee07", | ||||
121 | "position": 0, | ||||
122 | "resource_type": null, | ||||
123 | "size": 906, | ||||
124 | "state": "active", | ||||
125 | "url": | ||||
126 | resource/42a148ef-10d1-411a-a8f3-babcdd831778/download/metadata.json", | ||||
127 | "url_type": "upload" | ||||
128 | } | ||||
129 | ], | ||||
89 | "services_used_list": "", | 130 | "services_used_list": "", | ||
90 | "state": "active", | 131 | "state": "active", | ||
91 | "tags": [ | 132 | "tags": [ | ||
92 | { | 133 | { | ||
93 | "display_name": "Anomaly Detection", | 134 | "display_name": "Anomaly Detection", | ||
94 | "id": "772b074e-4795-4f11-80b4-362b2f8a0dca", | 135 | "id": "772b074e-4795-4f11-80b4-362b2f8a0dca", | ||
95 | "name": "Anomaly Detection", | 136 | "name": "Anomaly Detection", | ||
96 | "state": "active", | 137 | "state": "active", | ||
97 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
98 | }, | 139 | }, | ||
99 | { | 140 | { | ||
100 | "display_name": "IoT", | 141 | "display_name": "IoT", | ||
101 | "id": "9f8a8143-5253-4cb2-83fd-eb89f5d546b8", | 142 | "id": "9f8a8143-5253-4cb2-83fd-eb89f5d546b8", | ||
102 | "name": "IoT", | 143 | "name": "IoT", | ||
103 | "state": "active", | 144 | "state": "active", | ||
104 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
105 | }, | 146 | }, | ||
106 | { | 147 | { | ||
107 | "display_name": "Multivariate Time Series", | 148 | "display_name": "Multivariate Time Series", | ||
108 | "id": "4cfbc595-f778-426e-88c3-6c0f21b1d229", | 149 | "id": "4cfbc595-f778-426e-88c3-6c0f21b1d229", | ||
109 | "name": "Multivariate Time Series", | 150 | "name": "Multivariate Time Series", | ||
110 | "state": "active", | 151 | "state": "active", | ||
111 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
112 | } | 153 | } | ||
113 | ], | 154 | ], | ||
114 | "title": "WADI", | 155 | "title": "WADI", | ||
115 | "type": "dataset", | 156 | "type": "dataset", | ||
116 | "version": "" | 157 | "version": "" | ||
117 | } | 158 | } |