Changes
On December 2, 2024 at 5:44:16 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in TS-Diffusion -
Changed value of field
doi_date_published
to2024-12-02
in TS-Diffusion -
Added resource Original Metadata to TS-Diffusion
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yangming Li", | 3 | "author": "Yangming Li", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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13 | "groups": [ | 13 | "groups": [ | ||
14 | { | 14 | { | ||
15 | "description": "", | 15 | "description": "", | ||
16 | "display_name": "Time Series Generation", | 16 | "display_name": "Time Series Generation", | ||
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18 | "image_display_url": "", | 18 | "image_display_url": "", | ||
19 | "name": "time-series-generation", | 19 | "name": "time-series-generation", | ||
20 | "title": "Time Series Generation" | 20 | "title": "Time Series Generation" | ||
21 | } | 21 | } | ||
22 | ], | 22 | ], | ||
23 | "id": "b6008987-6c77-4fa4-bf7c-ee2a9f02165f", | 23 | "id": "b6008987-6c77-4fa4-bf7c-ee2a9f02165f", | ||
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25 | "landing_page": "", | 25 | "landing_page": "", | ||
26 | "license_title": null, | 26 | "license_title": null, | ||
27 | "link_orkg": "", | 27 | "link_orkg": "", | ||
28 | "metadata_created": "2024-12-02T17:44:14.953651", | 28 | "metadata_created": "2024-12-02T17:44:14.953651", | ||
n | 29 | "metadata_modified": "2024-12-02T17:44:14.953658", | n | 29 | "metadata_modified": "2024-12-02T17:44:15.276578", |
30 | "name": "ts-diffusion", | 30 | "name": "ts-diffusion", | ||
31 | "notes": "TS-Diffusion is a general model for generating highly | 31 | "notes": "TS-Diffusion is a general model for generating highly | ||
32 | complex time series with irregularities, missingness, and the large | 32 | complex time series with irregularities, missingness, and the large | ||
33 | feature-temporal dimensionality, which are aspects overlooked by | 33 | feature-temporal dimensionality, which are aspects overlooked by | ||
34 | previous works.", | 34 | previous works.", | ||
n | 35 | "num_resources": 0, | n | 35 | "num_resources": 1, |
36 | "num_tags": 4, | 36 | "num_tags": 4, | ||
37 | "organization": { | 37 | "organization": { | ||
38 | "approval_status": "approved", | 38 | "approval_status": "approved", | ||
39 | "created": "2024-11-25T12:11:38.292601", | 39 | "created": "2024-11-25T12:11:38.292601", | ||
40 | "description": "", | 40 | "description": "", | ||
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42 | "image_url": "", | 42 | "image_url": "", | ||
43 | "is_organization": true, | 43 | "is_organization": true, | ||
44 | "name": "no-organization", | 44 | "name": "no-organization", | ||
45 | "state": "active", | 45 | "state": "active", | ||
46 | "title": "No Organization", | 46 | "title": "No Organization", | ||
47 | "type": "organization" | 47 | "type": "organization" | ||
48 | }, | 48 | }, | ||
49 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 49 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
50 | "private": false, | 50 | "private": false, | ||
51 | "relationships_as_object": [], | 51 | "relationships_as_object": [], | ||
52 | "relationships_as_subject": [], | 52 | "relationships_as_subject": [], | ||
t | 53 | "resources": [], | t | 53 | "resources": [ |
54 | { | ||||
55 | "cache_last_updated": null, | ||||
56 | "cache_url": null, | ||||
57 | "created": "2024-12-02T18:38:42", | ||||
58 | "data": [ | ||||
59 | "dcterms:title", | ||||
60 | "dcterms:accessRights", | ||||
61 | "dcterms:creator", | ||||
62 | "dcterms:description", | ||||
63 | "dcterms:issued", | ||||
64 | "dcterms:language", | ||||
65 | "dcterms:identifier", | ||||
66 | "dcat:theme", | ||||
67 | "dcterms:type", | ||||
68 | "dcat:keyword", | ||||
69 | "dcat:landingPage", | ||||
70 | "dcterms:hasVersion", | ||||
71 | "dcterms:format", | ||||
72 | "mls:task", | ||||
73 | "datacite:isDescribedBy" | ||||
74 | ], | ||||
75 | "description": "The json representation of the dataset with its | ||||
76 | distributions based on DCAT.", | ||||
77 | "format": "JSON", | ||||
78 | "hash": "", | ||||
79 | "id": "22e047c5-82a6-45c9-acc0-2b41326ed54f", | ||||
80 | "last_modified": "2024-12-02T17:44:15.269507", | ||||
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82 | "mimetype": "application/json", | ||||
83 | "mimetype_inner": null, | ||||
84 | "name": "Original Metadata", | ||||
85 | "package_id": "b6008987-6c77-4fa4-bf7c-ee2a9f02165f", | ||||
86 | "position": 0, | ||||
87 | "resource_type": null, | ||||
88 | "size": 734, | ||||
89 | "state": "active", | ||||
90 | "url": | ||||
91 | resource/22e047c5-82a6-45c9-acc0-2b41326ed54f/download/metadata.json", | ||||
92 | "url_type": "upload" | ||||
93 | } | ||||
94 | ], | ||||
54 | "services_used_list": "", | 95 | "services_used_list": "", | ||
55 | "state": "active", | 96 | "state": "active", | ||
56 | "tags": [ | 97 | "tags": [ | ||
57 | { | 98 | { | ||
58 | "display_name": "Diffusion Models", | 99 | "display_name": "Diffusion Models", | ||
59 | "id": "eeac2127-6785-445b-b887-a5f3975fc676", | 100 | "id": "eeac2127-6785-445b-b887-a5f3975fc676", | ||
60 | "name": "Diffusion Models", | 101 | "name": "Diffusion Models", | ||
61 | "state": "active", | 102 | "state": "active", | ||
62 | "vocabulary_id": null | 103 | "vocabulary_id": null | ||
63 | }, | 104 | }, | ||
64 | { | 105 | { | ||
65 | "display_name": "Irregularities", | 106 | "display_name": "Irregularities", | ||
66 | "id": "d80f2cac-a983-4839-89b1-d69be6f36f8b", | 107 | "id": "d80f2cac-a983-4839-89b1-d69be6f36f8b", | ||
67 | "name": "Irregularities", | 108 | "name": "Irregularities", | ||
68 | "state": "active", | 109 | "state": "active", | ||
69 | "vocabulary_id": null | 110 | "vocabulary_id": null | ||
70 | }, | 111 | }, | ||
71 | { | 112 | { | ||
72 | "display_name": "Missingness", | 113 | "display_name": "Missingness", | ||
73 | "id": "91b956f9-4bd3-4c33-b0a9-87fecdf6c8c2", | 114 | "id": "91b956f9-4bd3-4c33-b0a9-87fecdf6c8c2", | ||
74 | "name": "Missingness", | 115 | "name": "Missingness", | ||
75 | "state": "active", | 116 | "state": "active", | ||
76 | "vocabulary_id": null | 117 | "vocabulary_id": null | ||
77 | }, | 118 | }, | ||
78 | { | 119 | { | ||
79 | "display_name": "Time Series", | 120 | "display_name": "Time Series", | ||
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81 | "name": "Time Series", | 122 | "name": "Time Series", | ||
82 | "state": "active", | 123 | "state": "active", | ||
83 | "vocabulary_id": null | 124 | "vocabulary_id": null | ||
84 | } | 125 | } | ||
85 | ], | 126 | ], | ||
86 | "title": "TS-Diffusion", | 127 | "title": "TS-Diffusion", | ||
87 | "type": "dataset", | 128 | "type": "dataset", | ||
88 | "version": "" | 129 | "version": "" | ||
89 | } | 130 | } |