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f | 1 | { | f | 1 | { |
2 | "author": "Schambach, Maximilian", | 2 | "author": "Schambach, Maximilian", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/500", | 5 | "doi": "10.35097/500", | ||
6 | "doi_date_published": "2021", | 6 | "doi_date_published": "2021", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "groups": [], | 9 | "groups": [], | ||
10 | "id": "73977a6c-9512-4b74-a318-93d5b77eca85", | 10 | "id": "73977a6c-9512-4b74-a318-93d5b77eca85", | ||
11 | "isopen": false, | 11 | "isopen": false, | ||
12 | "license_id": "CC BY 4.0 Attribution", | 12 | "license_id": "CC BY 4.0 Attribution", | ||
13 | "license_title": "CC BY 4.0 Attribution", | 13 | "license_title": "CC BY 4.0 Attribution", | ||
14 | "metadata_created": "2023-01-12T13:30:40.165943", | 14 | "metadata_created": "2023-01-12T13:30:40.165943", | ||
t | 15 | "metadata_modified": "2023-08-04T09:03:35.648954", | t | 15 | "metadata_modified": "2023-08-04T09:24:21.898657", |
16 | "name": "rdr-doi-10-35097-500", | 16 | "name": "rdr-doi-10-35097-500", | ||
17 | "notes": "Abstract: A multispectral light field dataset of three | 17 | "notes": "Abstract: A multispectral light field dataset of three | ||
18 | real-world highly textured scenes.\r\nTechnicalInfo: The dataset | 18 | real-world highly textured scenes.\r\nTechnicalInfo: The dataset | ||
19 | \"DATA.zip\" contains the decoded, white-balanced, and de-vignetted | 19 | \"DATA.zip\" contains the decoded, white-balanced, and de-vignetted | ||
20 | multispectral light fields. You can directly use these calibrated | 20 | multispectral light fields. You can directly use these calibrated | ||
21 | light fields in your research. If you do so, please cite our | 21 | light fields in your research. If you do so, please cite our | ||
22 | corresponding paper [1]. For further details, please see the provided | 22 | corresponding paper [1]. For further details, please see the provided | ||
23 | README.txt.\r\nOther: [1] Maximilian Schambach, Jiayang Shi, and | 23 | README.txt.\r\nOther: [1] Maximilian Schambach, Jiayang Shi, and | ||
24 | Michael Heizmann: \"Spectral Reconstruction and Disparity from | 24 | Michael Heizmann: \"Spectral Reconstruction and Disparity from | ||
25 | Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning\" | 25 | Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning\" | ||
26 | International Conference on 3D vision (3DV), 2021", | 26 | International Conference on 3D vision (3DV), 2021", | ||
27 | "num_resources": 0, | 27 | "num_resources": 0, | ||
28 | "num_tags": 3, | 28 | "num_tags": 3, | ||
29 | "orcid": "0000-0002-4927-266X", | 29 | "orcid": "0000-0002-4927-266X", | ||
30 | "organization": { | 30 | "organization": { | ||
31 | "approval_status": "approved", | 31 | "approval_status": "approved", | ||
32 | "created": "2023-01-12T13:30:23.238233", | 32 | "created": "2023-01-12T13:30:23.238233", | ||
33 | "description": "RADAR (Research Data Repository) is a | 33 | "description": "RADAR (Research Data Repository) is a | ||
34 | cross-disciplinary repository for archiving and publishing research | 34 | cross-disciplinary repository for archiving and publishing research | ||
35 | data from completed scientific studies and projects. The focus is on | 35 | data from completed scientific studies and projects. The focus is on | ||
36 | research data from subjects that do not yet have their own | 36 | research data from subjects that do not yet have their own | ||
37 | discipline-specific infrastructures for research data management. ", | 37 | discipline-specific infrastructures for research data management. ", | ||
38 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 38 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
39 | "image_url": "radar-logo.svg", | 39 | "image_url": "radar-logo.svg", | ||
40 | "is_organization": true, | 40 | "is_organization": true, | ||
41 | "name": "radar", | 41 | "name": "radar", | ||
42 | "state": "active", | 42 | "state": "active", | ||
43 | "title": "RADAR", | 43 | "title": "RADAR", | ||
44 | "type": "organization" | 44 | "type": "organization" | ||
45 | }, | 45 | }, | ||
46 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 46 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
47 | "private": false, | 47 | "private": false, | ||
48 | "production_year": "2021", | 48 | "production_year": "2021", | ||
49 | "publication_year": "2021", | 49 | "publication_year": "2021", | ||
50 | "publishers": [ | 50 | "publishers": [ | ||
51 | { | 51 | { | ||
52 | "publisher": "Karlsruhe Institute of Technology (KIT)" | 52 | "publisher": "Karlsruhe Institute of Technology (KIT)" | ||
53 | } | 53 | } | ||
54 | ], | 54 | ], | ||
55 | "relationships_as_object": [], | 55 | "relationships_as_object": [], | ||
56 | "relationships_as_subject": [], | 56 | "relationships_as_subject": [], | ||
57 | "repository_name": "RADAR (Research Data Repository)", | 57 | "repository_name": "RADAR (Research Data Repository)", | ||
58 | "resources": [], | 58 | "resources": [], | ||
59 | "services_used_list": "", | 59 | "services_used_list": "", | ||
60 | "source_metadata_created": "2021", | 60 | "source_metadata_created": "2021", | ||
61 | "source_metadata_modified": "", | 61 | "source_metadata_modified": "", | ||
62 | "state": "active", | 62 | "state": "active", | ||
63 | "subject_areas": [ | 63 | "subject_areas": [ | ||
64 | { | 64 | { | ||
65 | "subject_area_additional": "", | 65 | "subject_area_additional": "", | ||
66 | "subject_area_name": "Engineering" | 66 | "subject_area_name": "Engineering" | ||
67 | } | 67 | } | ||
68 | ], | 68 | ], | ||
69 | "tags": [ | 69 | "tags": [ | ||
70 | { | 70 | { | ||
71 | "display_name": "Lytro", | 71 | "display_name": "Lytro", | ||
72 | "id": "22dc0a03-0962-4188-b20c-2a6fc1ea6992", | 72 | "id": "22dc0a03-0962-4188-b20c-2a6fc1ea6992", | ||
73 | "name": "Lytro", | 73 | "name": "Lytro", | ||
74 | "state": "active", | 74 | "state": "active", | ||
75 | "vocabulary_id": null | 75 | "vocabulary_id": null | ||
76 | }, | 76 | }, | ||
77 | { | 77 | { | ||
78 | "display_name": "light field", | 78 | "display_name": "light field", | ||
79 | "id": "7aad3068-eb08-4def-a606-592c61d69779", | 79 | "id": "7aad3068-eb08-4def-a606-592c61d69779", | ||
80 | "name": "light field", | 80 | "name": "light field", | ||
81 | "state": "active", | 81 | "state": "active", | ||
82 | "vocabulary_id": null | 82 | "vocabulary_id": null | ||
83 | }, | 83 | }, | ||
84 | { | 84 | { | ||
85 | "display_name": "multispectral", | 85 | "display_name": "multispectral", | ||
86 | "id": "7d8e1cd2-8078-4e47-828b-1af80bae3297", | 86 | "id": "7d8e1cd2-8078-4e47-828b-1af80bae3297", | ||
87 | "name": "multispectral", | 87 | "name": "multispectral", | ||
88 | "state": "active", | 88 | "state": "active", | ||
89 | "vocabulary_id": null | 89 | "vocabulary_id": null | ||
90 | } | 90 | } | ||
91 | ], | 91 | ], | ||
92 | "title": "A highly textured multispectral light field dataset", | 92 | "title": "A highly textured multispectral light field dataset", | ||
93 | "type": "vdataset", | 93 | "type": "vdataset", | ||
94 | "url": "https://doi.org/10.35097/500" | 94 | "url": "https://doi.org/10.35097/500" | ||
95 | } | 95 | } |