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f | 1 | { | f | 1 | { |
2 | "author": "Campos, Fernando", | 2 | "author": "Campos, Fernando", | ||
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": "10.35097/606", | 5 | "doi": "10.35097/606", | ||
6 | "doi_date_published": "2022", | 6 | "doi_date_published": "2022", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Neic, Aurel", | 11 | "extra_author": "Neic, Aurel", | ||
12 | "orcid": "0000-0002-5192-1307" | 12 | "orcid": "0000-0002-5192-1307" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Mendonca Costa, Caroline", | 15 | "extra_author": "Mendonca Costa, Caroline", | ||
16 | "orcid": "0000-0002-9046-003X" | 16 | "orcid": "0000-0002-9046-003X" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Whitaker, John", | 19 | "extra_author": "Whitaker, John", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "O\u2019Neill, Mark", | 23 | "extra_author": "O\u2019Neill, Mark", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Razavi, Reza", | 27 | "extra_author": "Razavi, Reza", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "A. Rinaldi, Christopher", | 31 | "extra_author": "A. Rinaldi, Christopher", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Scherr, Daniel", | 35 | "extra_author": "Scherr, Daniel", | ||
36 | "orcid": "0000-0001-5868-5493" | 36 | "orcid": "0000-0001-5868-5493" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "extra_author": "Niederer, Steven A.", | 39 | "extra_author": "Niederer, Steven A.", | ||
40 | "orcid": "0000-0002-4612-6982" | 40 | "orcid": "0000-0002-4612-6982" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "extra_author": "Plank, Gernot", | 43 | "extra_author": "Plank, Gernot", | ||
44 | "orcid": "0000-0002-7380-6908" | 44 | "orcid": "0000-0002-7380-6908" | ||
45 | }, | 45 | }, | ||
46 | { | 46 | { | ||
47 | "extra_author": "Bishop, Martin J.", | 47 | "extra_author": "Bishop, Martin J.", | ||
48 | "orcid": "" | 48 | "orcid": "" | ||
49 | } | 49 | } | ||
50 | ], | 50 | ], | ||
51 | "groups": [], | 51 | "groups": [], | ||
52 | "id": "12621ed5-d232-4b46-80f5-a714e6f2b02e", | 52 | "id": "12621ed5-d232-4b46-80f5-a714e6f2b02e", | ||
53 | "isopen": false, | 53 | "isopen": false, | ||
54 | "license_id": "Other", | 54 | "license_id": "Other", | ||
55 | "license_title": "Other", | 55 | "license_title": "Other", | ||
56 | "metadata_created": "2023-01-12T13:30:42.486635", | 56 | "metadata_created": "2023-01-12T13:30:42.486635", | ||
t | 57 | "metadata_modified": "2023-08-04T08:51:27.165539", | t | 57 | "metadata_modified": "2023-08-04T08:52:55.561921", |
58 | "name": "rdr-doi-10-35097-606", | 58 | "name": "rdr-doi-10-35097-606", | ||
59 | "notes": "Abstract: This is an idealized 2D cardiac infarct model | 59 | "notes": "Abstract: This is an idealized 2D cardiac infarct model | ||
60 | designed with the purpose of replicating the setup used in our study | 60 | designed with the purpose of replicating the setup used in our study | ||
61 | entitled \"An automated near-real time computational method for | 61 | entitled \"An automated near-real time computational method for | ||
62 | induction and treatment of scar-related ventricular tachycardias\" | 62 | induction and treatment of scar-related ventricular tachycardias\" | ||
63 | (accepted) Medical Image Analysis (2022).", | 63 | (accepted) Medical Image Analysis (2022).", | ||
64 | "num_resources": 0, | 64 | "num_resources": 0, | ||
65 | "num_tags": 4, | 65 | "num_tags": 4, | ||
66 | "orcid": "https://orcid.org/0000-0002-7682-0094", | 66 | "orcid": "https://orcid.org/0000-0002-7682-0094", | ||
67 | "organization": { | 67 | "organization": { | ||
68 | "approval_status": "approved", | 68 | "approval_status": "approved", | ||
69 | "created": "2023-01-12T13:30:23.238233", | 69 | "created": "2023-01-12T13:30:23.238233", | ||
70 | "description": "RADAR (Research Data Repository) is a | 70 | "description": "RADAR (Research Data Repository) is a | ||
71 | cross-disciplinary repository for archiving and publishing research | 71 | cross-disciplinary repository for archiving and publishing research | ||
72 | data from completed scientific studies and projects. The focus is on | 72 | data from completed scientific studies and projects. The focus is on | ||
73 | research data from subjects that do not yet have their own | 73 | research data from subjects that do not yet have their own | ||
74 | discipline-specific infrastructures for research data management. ", | 74 | discipline-specific infrastructures for research data management. ", | ||
75 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 75 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
76 | "image_url": "radar-logo.svg", | 76 | "image_url": "radar-logo.svg", | ||
77 | "is_organization": true, | 77 | "is_organization": true, | ||
78 | "name": "radar", | 78 | "name": "radar", | ||
79 | "state": "active", | 79 | "state": "active", | ||
80 | "title": "RADAR", | 80 | "title": "RADAR", | ||
81 | "type": "organization" | 81 | "type": "organization" | ||
82 | }, | 82 | }, | ||
83 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 83 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
84 | "private": false, | 84 | "private": false, | ||
85 | "production_year": "2022", | 85 | "production_year": "2022", | ||
86 | "publication_year": "2022", | 86 | "publication_year": "2022", | ||
87 | "publishers": [ | 87 | "publishers": [ | ||
88 | { | 88 | { | ||
89 | "publisher": "openCARP" | 89 | "publisher": "openCARP" | ||
90 | } | 90 | } | ||
91 | ], | 91 | ], | ||
92 | "related_identifiers": [ | 92 | "related_identifiers": [ | ||
93 | { | 93 | { | ||
94 | "identifier": "10.35097/562", | 94 | "identifier": "10.35097/562", | ||
95 | "identifier_type": "DOI", | 95 | "identifier_type": "DOI", | ||
96 | "relation_type": "IsCompiledBy" | 96 | "relation_type": "IsCompiledBy" | ||
97 | }, | 97 | }, | ||
98 | { | 98 | { | ||
99 | "identifier": "10.1016/j.cmpb.2021.106223", | 99 | "identifier": "10.1016/j.cmpb.2021.106223", | ||
100 | "identifier_type": "DOI", | 100 | "identifier_type": "DOI", | ||
101 | "relation_type": "References" | 101 | "relation_type": "References" | ||
102 | } | 102 | } | ||
103 | ], | 103 | ], | ||
104 | "relationships_as_object": [], | 104 | "relationships_as_object": [], | ||
105 | "relationships_as_subject": [], | 105 | "relationships_as_subject": [], | ||
106 | "repository_name": "RADAR (Research Data Repository)", | 106 | "repository_name": "RADAR (Research Data Repository)", | ||
107 | "resource_type": "Workflow - Simulation code", | 107 | "resource_type": "Workflow - Simulation code", | ||
108 | "resources": [], | 108 | "resources": [], | ||
109 | "services_used_list": "", | 109 | "services_used_list": "", | ||
110 | "source_metadata_created": "2022", | 110 | "source_metadata_created": "2022", | ||
111 | "source_metadata_modified": "", | 111 | "source_metadata_modified": "", | ||
112 | "state": "active", | 112 | "state": "active", | ||
113 | "subject_areas": [ | 113 | "subject_areas": [ | ||
114 | { | 114 | { | ||
115 | "subject_area_additional": "", | 115 | "subject_area_additional": "", | ||
116 | "subject_area_name": "Life Science" | 116 | "subject_area_name": "Life Science" | ||
117 | }, | 117 | }, | ||
118 | { | 118 | { | ||
119 | "subject_area_additional": "", | 119 | "subject_area_additional": "", | ||
120 | "subject_area_name": "Computer Science" | 120 | "subject_area_name": "Computer Science" | ||
121 | }, | 121 | }, | ||
122 | { | 122 | { | ||
123 | "subject_area_additional": "", | 123 | "subject_area_additional": "", | ||
124 | "subject_area_name": "Medicine" | 124 | "subject_area_name": "Medicine" | ||
125 | } | 125 | } | ||
126 | ], | 126 | ], | ||
127 | "tags": [ | 127 | "tags": [ | ||
128 | { | 128 | { | ||
129 | "display_name": "cardiac electrophysiology", | 129 | "display_name": "cardiac electrophysiology", | ||
130 | "id": "80f0bb54-29d8-4e59-9459-2dcfc04611c3", | 130 | "id": "80f0bb54-29d8-4e59-9459-2dcfc04611c3", | ||
131 | "name": "cardiac electrophysiology", | 131 | "name": "cardiac electrophysiology", | ||
132 | "state": "active", | 132 | "state": "active", | ||
133 | "vocabulary_id": null | 133 | "vocabulary_id": null | ||
134 | }, | 134 | }, | ||
135 | { | 135 | { | ||
136 | "display_name": "computational cardiology", | 136 | "display_name": "computational cardiology", | ||
137 | "id": "f8c85f40-5892-4fda-bd06-d8c892f79a22", | 137 | "id": "f8c85f40-5892-4fda-bd06-d8c892f79a22", | ||
138 | "name": "computational cardiology", | 138 | "name": "computational cardiology", | ||
139 | "state": "active", | 139 | "state": "active", | ||
140 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
141 | }, | 141 | }, | ||
142 | { | 142 | { | ||
143 | "display_name": "in-silico medicine", | 143 | "display_name": "in-silico medicine", | ||
144 | "id": "4c777578-4d7b-4041-aff2-57ffd768bf42", | 144 | "id": "4c777578-4d7b-4041-aff2-57ffd768bf42", | ||
145 | "name": "in-silico medicine", | 145 | "name": "in-silico medicine", | ||
146 | "state": "active", | 146 | "state": "active", | ||
147 | "vocabulary_id": null | 147 | "vocabulary_id": null | ||
148 | }, | 148 | }, | ||
149 | { | 149 | { | ||
150 | "display_name": "openCARP experiment", | 150 | "display_name": "openCARP experiment", | ||
151 | "id": "a827b461-b08e-4c3b-a5b9-a08919bacce1", | 151 | "id": "a827b461-b08e-4c3b-a5b9-a08919bacce1", | ||
152 | "name": "openCARP experiment", | 152 | "name": "openCARP experiment", | ||
153 | "state": "active", | 153 | "state": "active", | ||
154 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
155 | } | 155 | } | ||
156 | ], | 156 | ], | ||
157 | "title": "Example of reentry induction in a 2d idealized infarct | 157 | "title": "Example of reentry induction in a 2d idealized infarct | ||
158 | model (v1.0)", | 158 | model (v1.0)", | ||
159 | "type": "vdataset", | 159 | "type": "vdataset", | ||
160 | "url": "https://doi.org/10.35097/606" | 160 | "url": "https://doi.org/10.35097/606" | ||
161 | } | 161 | } |