Changes
On December 16, 2024 at 7:34:27 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in RaSeedGAN: Randomly-SEEDed super-resolution GAN for sparse measurements -
Changed value of field
doi_date_published
to2024-12-16
in RaSeedGAN: Randomly-SEEDed super-resolution GAN for sparse measurements -
Added resource Original Metadata to RaSeedGAN: Randomly-SEEDed super-resolution GAN for sparse measurements
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Alejandro G\u00a8uemes", | 3 | "author": "Alejandro G\u00a8uemes", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.48550/arXiv.2202.11701", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2202.11701", | ||
8 | "doi": "10.57702/w5srv915", | 8 | "doi": "10.57702/w5srv915", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-16", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Carlos Sanmiguel Vila", | 15 | "extra_author": "Carlos Sanmiguel Vila", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Stefano Discetti", | 19 | "extra_author": "Stefano Discetti", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | } | 21 | } | ||
22 | ], | 22 | ], | ||
23 | "groups": [ | 23 | "groups": [ | ||
24 | { | 24 | { | ||
25 | "description": "", | 25 | "description": "", | ||
26 | "display_name": "Generative Adversarial Networks", | 26 | "display_name": "Generative Adversarial Networks", | ||
27 | "id": "42559fef-c85e-4fb4-8ba0-c1af289545ce", | 27 | "id": "42559fef-c85e-4fb4-8ba0-c1af289545ce", | ||
28 | "image_display_url": "", | 28 | "image_display_url": "", | ||
29 | "name": "generative-adversarial-networks", | 29 | "name": "generative-adversarial-networks", | ||
30 | "title": "Generative Adversarial Networks" | 30 | "title": "Generative Adversarial Networks" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Super Resolution", | 34 | "display_name": "Super Resolution", | ||
35 | "id": "88fad46a-2463-4346-85f0-4fe8edf4614e", | 35 | "id": "88fad46a-2463-4346-85f0-4fe8edf4614e", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "super-resolution", | 37 | "name": "super-resolution", | ||
38 | "title": "Super Resolution" | 38 | "title": "Super Resolution" | ||
39 | } | 39 | } | ||
40 | ], | 40 | ], | ||
41 | "id": "b6f91547-d74c-4284-a730-ea9e12118f83", | 41 | "id": "b6f91547-d74c-4284-a730-ea9e12118f83", | ||
42 | "isopen": false, | 42 | "isopen": false, | ||
43 | "landing_page": "https://doi.org/10.5281/zenodo.7191210", | 43 | "landing_page": "https://doi.org/10.5281/zenodo.7191210", | ||
44 | "license_title": null, | 44 | "license_title": null, | ||
45 | "link_orkg": "", | 45 | "link_orkg": "", | ||
46 | "metadata_created": "2024-12-16T19:34:25.890730", | 46 | "metadata_created": "2024-12-16T19:34:25.890730", | ||
n | 47 | "metadata_modified": "2024-12-16T19:34:25.890735", | n | 47 | "metadata_modified": "2024-12-16T19:34:26.246042", |
48 | "name": | 48 | "name": | ||
49 | eedgan--randomly-seeded-super-resolution-gan-for-sparse-measurements", | 49 | eedgan--randomly-seeded-super-resolution-gan-for-sparse-measurements", | ||
50 | "notes": "A novel deep-learning approach based on generative | 50 | "notes": "A novel deep-learning approach based on generative | ||
51 | adversarial networks to perform super-resolution reconstruction of | 51 | adversarial networks to perform super-resolution reconstruction of | ||
52 | sparse measurements.", | 52 | sparse measurements.", | ||
n | 53 | "num_resources": 0, | n | 53 | "num_resources": 1, |
54 | "num_tags": 4, | 54 | "num_tags": 4, | ||
55 | "organization": { | 55 | "organization": { | ||
56 | "approval_status": "approved", | 56 | "approval_status": "approved", | ||
57 | "created": "2024-11-25T12:11:38.292601", | 57 | "created": "2024-11-25T12:11:38.292601", | ||
58 | "description": "", | 58 | "description": "", | ||
59 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 59 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
60 | "image_url": "", | 60 | "image_url": "", | ||
61 | "is_organization": true, | 61 | "is_organization": true, | ||
62 | "name": "no-organization", | 62 | "name": "no-organization", | ||
63 | "state": "active", | 63 | "state": "active", | ||
64 | "title": "No Organization", | 64 | "title": "No Organization", | ||
65 | "type": "organization" | 65 | "type": "organization" | ||
66 | }, | 66 | }, | ||
67 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 67 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
68 | "private": false, | 68 | "private": false, | ||
69 | "relationships_as_object": [], | 69 | "relationships_as_object": [], | ||
70 | "relationships_as_subject": [], | 70 | "relationships_as_subject": [], | ||
t | 71 | "resources": [], | t | 71 | "resources": [ |
72 | { | ||||
73 | "cache_last_updated": null, | ||||
74 | "cache_url": null, | ||||
75 | "created": "2024-12-16T18:25:41", | ||||
76 | "data": [ | ||||
77 | "dcterms:title", | ||||
78 | "dcterms:accessRights", | ||||
79 | "dcterms:creator", | ||||
80 | "dcterms:description", | ||||
81 | "dcterms:issued", | ||||
82 | "dcterms:language", | ||||
83 | "dcterms:identifier", | ||||
84 | "dcat:theme", | ||||
85 | "dcterms:type", | ||||
86 | "dcat:keyword", | ||||
87 | "dcat:landingPage", | ||||
88 | "dcterms:hasVersion", | ||||
89 | "dcterms:format", | ||||
90 | "mls:task", | ||||
91 | "datacite:isDescribedBy" | ||||
92 | ], | ||||
93 | "description": "The json representation of the dataset with its | ||||
94 | distributions based on DCAT.", | ||||
95 | "format": "JSON", | ||||
96 | "hash": "", | ||||
97 | "id": "fe15fe30-0531-40cb-82ba-9511208c8bbf", | ||||
98 | "last_modified": "2024-12-16T19:34:26.238433", | ||||
99 | "metadata_modified": "2024-12-16T19:34:26.248959", | ||||
100 | "mimetype": "application/json", | ||||
101 | "mimetype_inner": null, | ||||
102 | "name": "Original Metadata", | ||||
103 | "package_id": "b6f91547-d74c-4284-a730-ea9e12118f83", | ||||
104 | "position": 0, | ||||
105 | "resource_type": null, | ||||
106 | "size": 964, | ||||
107 | "state": "active", | ||||
108 | "url": | ||||
109 | resource/fe15fe30-0531-40cb-82ba-9511208c8bbf/download/metadata.json", | ||||
110 | "url_type": "upload" | ||||
111 | } | ||||
112 | ], | ||||
72 | "services_used_list": "", | 113 | "services_used_list": "", | ||
73 | "state": "active", | 114 | "state": "active", | ||
74 | "tags": [ | 115 | "tags": [ | ||
75 | { | 116 | { | ||
76 | "display_name": "GANs", | 117 | "display_name": "GANs", | ||
77 | "id": "ba92b867-41e4-435d-b0d6-285954f842d8", | 118 | "id": "ba92b867-41e4-435d-b0d6-285954f842d8", | ||
78 | "name": "GANs", | 119 | "name": "GANs", | ||
79 | "state": "active", | 120 | "state": "active", | ||
80 | "vocabulary_id": null | 121 | "vocabulary_id": null | ||
81 | }, | 122 | }, | ||
82 | { | 123 | { | ||
83 | "display_name": "Physics-informed neural networks", | 124 | "display_name": "Physics-informed neural networks", | ||
84 | "id": "e72fcf37-6aec-41d7-a0d8-5d8d6f1495ab", | 125 | "id": "e72fcf37-6aec-41d7-a0d8-5d8d6f1495ab", | ||
85 | "name": "Physics-informed neural networks", | 126 | "name": "Physics-informed neural networks", | ||
86 | "state": "active", | 127 | "state": "active", | ||
87 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
88 | }, | 129 | }, | ||
89 | { | 130 | { | ||
90 | "display_name": "Sparse data", | 131 | "display_name": "Sparse data", | ||
91 | "id": "bed0ce90-3a88-48fc-99e2-2daaed538510", | 132 | "id": "bed0ce90-3a88-48fc-99e2-2daaed538510", | ||
92 | "name": "Sparse data", | 133 | "name": "Sparse data", | ||
93 | "state": "active", | 134 | "state": "active", | ||
94 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
95 | }, | 136 | }, | ||
96 | { | 137 | { | ||
97 | "display_name": "Super-resolution", | 138 | "display_name": "Super-resolution", | ||
98 | "id": "7bf4f5a3-9c87-4d1e-91da-54f6e4fbb0cf", | 139 | "id": "7bf4f5a3-9c87-4d1e-91da-54f6e4fbb0cf", | ||
99 | "name": "Super-resolution", | 140 | "name": "Super-resolution", | ||
100 | "state": "active", | 141 | "state": "active", | ||
101 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
102 | } | 143 | } | ||
103 | ], | 144 | ], | ||
104 | "title": "RaSeedGAN: Randomly-SEEDed super-resolution GAN for sparse | 145 | "title": "RaSeedGAN: Randomly-SEEDed super-resolution GAN for sparse | ||
105 | measurements", | 146 | measurements", | ||
106 | "type": "dataset", | 147 | "type": "dataset", | ||
107 | "version": "" | 148 | "version": "" | ||
108 | } | 149 | } |