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f | 1 | { | f | 1 | { |
2 | "author": "Pablo Noever-Castelos", | 2 | "author": "Pablo Noever-Castelos", | ||
3 | "author_email": "pablo.noever@iwes.uni-hannover.de", | 3 | "author_email": "pablo.noever@iwes.uni-hannover.de", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.25835/0042221", | 5 | "doi": "10.25835/0042221", | ||
6 | "doi_date_published": "2022-01-10", | 6 | "doi_date_published": "2022-01-10", | ||
7 | "doi_publisher": "LUIS", | 7 | "doi_publisher": "LUIS", | ||
8 | "doi_status": "true", | 8 | "doi_status": "true", | ||
9 | "domain": "https://data.uni-hannover.de", | 9 | "domain": "https://data.uni-hannover.de", | ||
10 | "groups": [], | 10 | "groups": [], | ||
11 | "have_copyright": "Yes", | 11 | "have_copyright": "Yes", | ||
12 | "id": "3addcf78-0d5c-4803-92ea-32929b99b844", | 12 | "id": "3addcf78-0d5c-4803-92ea-32929b99b844", | ||
13 | "isopen": false, | 13 | "isopen": false, | ||
14 | "license_id": "CC-BY-NC-3.0", | 14 | "license_id": "CC-BY-NC-3.0", | ||
15 | "license_title": "CC-BY-NC-3.0", | 15 | "license_title": "CC-BY-NC-3.0", | ||
16 | "maintainer": "Pablo Noever-Castelos", | 16 | "maintainer": "Pablo Noever-Castelos", | ||
17 | "maintainer_email": "", | 17 | "maintainer_email": "", | ||
18 | "metadata_created": "2023-01-12T13:14:28.737558", | 18 | "metadata_created": "2023-01-12T13:14:28.737558", | ||
n | 19 | "metadata_modified": "2023-01-12T13:14:28.737563", | n | 19 | "metadata_modified": "2023-08-04T08:46:51.775801", |
20 | "name": | 20 | "name": | ||
21 | -cinn-model-updating-of-finite-element-models-of-wind-turbine-blades", | 21 | -cinn-model-updating-of-finite-element-models-of-wind-turbine-blades", | ||
22 | "notes": "The dataset is directly related to the GitHub-Repository: | 22 | "notes": "The dataset is directly related to the GitHub-Repository: | ||
23 | https://github.com/IWES-LUH/Beam-ModelUpdating-cINN\r\nIt contains | 23 | https://github.com/IWES-LUH/Beam-ModelUpdating-cINN\r\nIt contains | ||
24 | training data and finished models of the conditional Invertible Neural | 24 | training data and finished models of the conditional Invertible Neural | ||
25 | Network trained for model updating of wind turbine blades. The applied | 25 | Network trained for model updating of wind turbine blades. The applied | ||
26 | model is the 20m-DemoBlade of the SmartBlades2 research project.", | 26 | model is the 20m-DemoBlade of the SmartBlades2 research project.", | ||
27 | "num_resources": 2, | 27 | "num_resources": 2, | ||
28 | "num_tags": 5, | 28 | "num_tags": 5, | ||
29 | "organization": { | 29 | "organization": { | ||
30 | "approval_status": "approved", | 30 | "approval_status": "approved", | ||
31 | "created": "2023-01-12T13:14:27.564600", | 31 | "created": "2023-01-12T13:14:27.564600", | ||
32 | "description": "https://www.iwes.uni-hannover.de/", | 32 | "description": "https://www.iwes.uni-hannover.de/", | ||
33 | "id": "73268596-15c0-4ed1-a968-4001e2a99f6b", | 33 | "id": "73268596-15c0-4ed1-a968-4001e2a99f6b", | ||
34 | "image_url": "", | 34 | "image_url": "", | ||
35 | "is_organization": true, | 35 | "is_organization": true, | ||
36 | "name": "institut-fur-windenergiesysteme", | 36 | "name": "institut-fur-windenergiesysteme", | ||
37 | "state": "active", | 37 | "state": "active", | ||
38 | "title": "Institut f\u00fcr Windenergiesysteme ", | 38 | "title": "Institut f\u00fcr Windenergiesysteme ", | ||
39 | "type": "organization" | 39 | "type": "organization" | ||
40 | }, | 40 | }, | ||
41 | "owner_org": "73268596-15c0-4ed1-a968-4001e2a99f6b", | 41 | "owner_org": "73268596-15c0-4ed1-a968-4001e2a99f6b", | ||
42 | "private": false, | 42 | "private": false, | ||
43 | "relationships_as_object": [], | 43 | "relationships_as_object": [], | ||
44 | "relationships_as_subject": [], | 44 | "relationships_as_subject": [], | ||
45 | "repository_name": "Leibniz University Hannover", | 45 | "repository_name": "Leibniz University Hannover", | ||
46 | "resources": [ | 46 | "resources": [ | ||
47 | { | 47 | { | ||
48 | "cache_last_updated": null, | 48 | "cache_last_updated": null, | ||
49 | "cache_url": null, | 49 | "cache_url": null, | ||
50 | "created": "2022-01-10T11:00:52.160940", | 50 | "created": "2022-01-10T11:00:52.160940", | ||
51 | "description": "The training data. Load with python package | 51 | "description": "The training data. Load with python package | ||
52 | dill.", | 52 | dill.", | ||
53 | "format": ".zip", | 53 | "format": ".zip", | ||
54 | "hash": "", | 54 | "hash": "", | ||
55 | "id": "cbfc9844-7c72-4547-9432-8116eb3b6aac", | 55 | "id": "cbfc9844-7c72-4547-9432-8116eb3b6aac", | ||
56 | "last_modified": "2022-01-10T11:00:52.124223", | 56 | "last_modified": "2022-01-10T11:00:52.124223", | ||
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58 | "mimetype": "application/zip", | 58 | "mimetype": "application/zip", | ||
59 | "mimetype_inner": null, | 59 | "mimetype_inner": null, | ||
60 | "name": "Training Data", | 60 | "name": "Training Data", | ||
61 | "package_id": "3addcf78-0d5c-4803-92ea-32929b99b844", | 61 | "package_id": "3addcf78-0d5c-4803-92ea-32929b99b844", | ||
62 | "position": 0, | 62 | "position": 0, | ||
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64 | "size": 904684196, | 64 | "size": 904684196, | ||
65 | "state": "active", | 65 | "state": "active", | ||
66 | "url": | 66 | "url": | ||
67 | 3/resource/cbfc9844-7c72-4547-9432-8116eb3b6aac/download/samples.zip", | 67 | 3/resource/cbfc9844-7c72-4547-9432-8116eb3b6aac/download/samples.zip", | ||
68 | "url_type": "" | 68 | "url_type": "" | ||
69 | }, | 69 | }, | ||
70 | { | 70 | { | ||
71 | "cache_last_updated": null, | 71 | "cache_last_updated": null, | ||
72 | "cache_url": null, | 72 | "cache_url": null, | ||
73 | "created": "2022-01-10T11:20:19.442697", | 73 | "created": "2022-01-10T11:20:19.442697", | ||
74 | "description": "Models trained with 30.000 samples for the full | 74 | "description": "Models trained with 30.000 samples for the full | ||
75 | and the reduced input parameter space.", | 75 | and the reduced input parameter space.", | ||
76 | "format": ".zip", | 76 | "format": ".zip", | ||
77 | "hash": "", | 77 | "hash": "", | ||
78 | "id": "a7c04ff0-5829-4e33-afd5-62ca7da04710", | 78 | "id": "a7c04ff0-5829-4e33-afd5-62ca7da04710", | ||
79 | "last_modified": "2022-01-10T11:20:19.398992", | 79 | "last_modified": "2022-01-10T11:20:19.398992", | ||
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81 | "mimetype": "application/zip", | 81 | "mimetype": "application/zip", | ||
82 | "mimetype_inner": null, | 82 | "mimetype_inner": null, | ||
83 | "name": "Models.zip", | 83 | "name": "Models.zip", | ||
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87 | "size": 823248, | 87 | "size": 823248, | ||
88 | "state": "active", | 88 | "state": "active", | ||
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91 | "url_type": "" | 91 | "url_type": "" | ||
92 | } | 92 | } | ||
93 | ], | 93 | ], | ||
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94 | "source_metadata_created": "2022-01-10T10:46:12.487282", | 95 | "source_metadata_created": "2022-01-10T10:46:12.487282", | ||
95 | "source_metadata_modified": "2022-01-20T13:49:36.994553", | 96 | "source_metadata_modified": "2022-01-20T13:49:36.994553", | ||
96 | "state": "active", | 97 | "state": "active", | ||
97 | "tags": [ | 98 | "tags": [ | ||
98 | { | 99 | { | ||
99 | "display_name": "Training data", | 100 | "display_name": "Training data", | ||
100 | "id": "9f997cac-beef-43b1-8b64-e06832ee810f", | 101 | "id": "9f997cac-beef-43b1-8b64-e06832ee810f", | ||
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102 | "state": "active", | 103 | "state": "active", | ||
103 | "vocabulary_id": null | 104 | "vocabulary_id": null | ||
104 | }, | 105 | }, | ||
105 | { | 106 | { | ||
106 | "display_name": "finite element model", | 107 | "display_name": "finite element model", | ||
107 | "id": "fd938eff-53e1-4bb2-b2a7-e4e25898ab25", | 108 | "id": "fd938eff-53e1-4bb2-b2a7-e4e25898ab25", | ||
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111 | }, | 112 | }, | ||
112 | { | 113 | { | ||
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115 | "name": "model updating", | 116 | "name": "model updating", | ||
116 | "state": "active", | 117 | "state": "active", | ||
117 | "vocabulary_id": null | 118 | "vocabulary_id": null | ||
118 | }, | 119 | }, | ||
119 | { | 120 | { | ||
120 | "display_name": "neural network", | 121 | "display_name": "neural network", | ||
121 | "id": "4d1fe157-c99c-49c9-a6f3-3371b7dd3ba8", | 122 | "id": "4d1fe157-c99c-49c9-a6f3-3371b7dd3ba8", | ||
122 | "name": "neural network", | 123 | "name": "neural network", | ||
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124 | "vocabulary_id": null | 125 | "vocabulary_id": null | ||
125 | }, | 126 | }, | ||
126 | { | 127 | { | ||
127 | "display_name": "wind turbine blade", | 128 | "display_name": "wind turbine blade", | ||
128 | "id": "0669bdd1-e7c7-4d71-bf55-b986ef18cf6c", | 129 | "id": "0669bdd1-e7c7-4d71-bf55-b986ef18cf6c", | ||
129 | "name": "wind turbine blade", | 130 | "name": "wind turbine blade", | ||
130 | "state": "active", | 131 | "state": "active", | ||
131 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
132 | } | 133 | } | ||
133 | ], | 134 | ], | ||
134 | "terms_of_usage": "Yes", | 135 | "terms_of_usage": "Yes", | ||
135 | "title": "Training data and models for cINN model updating of finite | 136 | "title": "Training data and models for cINN model updating of finite | ||
136 | element beam models of wind turbine blades", | 137 | element beam models of wind turbine blades", | ||
137 | "type": "vdataset", | 138 | "type": "vdataset", | ||
138 | "url": | 139 | "url": | ||
139 | -cinn-model-updating-of-finite-element-models-of-wind-turbine-blades", | 140 | -cinn-model-updating-of-finite-element-models-of-wind-turbine-blades", | ||
140 | "version": "" | 141 | "version": "" | ||
141 | } | 142 | } |