Changes
On December 3, 2024 at 11:09:22 AM UTC, admin:
-
Changed title to ACDC Dataset (previously ACDC dataset)
-
Set author of ACDC Dataset to Xin Yang (previously Ke Zhang)
-
Updated description of ACDC Dataset from
The ACDC dataset consists of short-axis cardiac images using anatomi-cal MRI sequence (BSSFP) from 100 patients, with gold standard segmentation of cardiac ventricular structures, including left ventricle blood cavity (LV), left ventricle myocardium (MYO), and right ventricle blood cavity (RV).
toThe ACDC dataset is a large-scale dataset containing images of urban scenes under different weather conditions.
-
Removed the following tags from ACDC Dataset
- low-light vision
- diagnosis
- Cardiac images
- semantic segmentation
- 3D cardiac MRI
- Adverse Conditions
- Segmentation Masks
- Cardiac MRI
- Cardiac MR images
- Cardiac Anatomy
- Medical imaging
- ACDC
- cardiac imaging
- Medical Image Segmentation
- Semantic Segmentation
- orientation recognition
- cardiac MRI
- standardization
- nighttime dataset
- segmentation
- myocardium
- Nighttime Images
- medical images
-
Added the following tags to ACDC Dataset
-
Changed value of field
defined_in
tohttps://doi.org/10.1609/aaai.v38i7.28477
in ACDC Dataset -
Changed value of field
extra_authors
to[{'extra_author': 'Wending Yan', 'orcid': ''}, {'extra_author': 'Yuan Yuan', 'orcid': ''}, {'extra_author': 'Michael Bi Mi', 'orcid': ''}, {'extra_author': 'Robby T. Tan', 'orcid': ''}]
in ACDC Dataset -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2109.09421']
in ACDC Dataset -
Changed value of field
landing_page
tohttps://www.acdc-dataset.com/
in ACDC Dataset -
Deleted resource Original Metadata from ACDC Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Ke Zhang", | n | 3 | "author": "Xin Yang", |
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
n | 6 | "https://doi.org/10.48550/arXiv.2004.10129", | n | ||
7 | "https://doi.org/10.48550/arXiv.2206.02118", | ||||
8 | "https://doi.org/10.1016/j.media.2024.103151", | ||||
9 | "https://doi.org/10.48550/arXiv.2407.16405", | ||||
10 | "https://doi.org/10.1016/j.patcog.2021.108515", | ||||
11 | "https://doi.org/10.48550/arXiv.2312.08932", | ||||
12 | "https://doi.org/10.48550/arXiv.2011.08761", | ||||
13 | "https://doi.org/10.48550/arXiv.2205.00858", | ||||
14 | "https://doi.org/10.48550/arXiv.2301.04882" | 6 | "https://doi.org/10.48550/arXiv.2109.09421" | ||
15 | ], | 7 | ], | ||
16 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 17 | "defined_in": "https://doi.org/10.48550/arXiv.2308.03594", | n | 9 | "defined_in": "https://doi.org/10.1609/aaai.v38i7.28477", |
18 | "doi": "10.57702/17lopntz", | 10 | "doi": "10.57702/17lopntz", | ||
19 | "doi_date_published": "2024-12-02", | 11 | "doi_date_published": "2024-12-02", | ||
20 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
21 | "doi_status": true, | 13 | "doi_status": true, | ||
22 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
23 | "extra_authors": [ | 15 | "extra_authors": [ | ||
24 | { | 16 | { | ||
n | n | 17 | "extra_author": "Wending Yan", | ||
18 | "orcid": "" | ||||
19 | }, | ||||
20 | { | ||||
21 | "extra_author": "Yuan Yuan", | ||||
22 | "orcid": "" | ||||
23 | }, | ||||
24 | { | ||||
25 | "extra_author": "Xiahai Zhuang", | 25 | "extra_author": "Michael Bi Mi", | ||
26 | "orcid": "" | ||||
27 | }, | ||||
28 | { | ||||
29 | "extra_author": "Robby T. Tan", | ||||
26 | "orcid": "" | 30 | "orcid": "" | ||
27 | } | 31 | } | ||
28 | ], | 32 | ], | ||
29 | "groups": [ | 33 | "groups": [ | ||
30 | { | 34 | { | ||
31 | "description": "", | 35 | "description": "", | ||
n | 32 | "display_name": "Cardiac Anatomy", | n | 36 | "display_name": "Cardiac Magnetic Resonance", |
33 | "id": "e1344c0c-b25f-4008-91d9-abae9895e564", | 37 | "id": "ba60cf27-17bf-4d8f-bfeb-02b52d24ed7d", | ||
34 | "image_display_url": "", | 38 | "image_display_url": "", | ||
n | 35 | "name": "cardiac-anatomy", | n | 39 | "name": "cardiac-magnetic-resonance", |
36 | "title": "Cardiac Anatomy" | 40 | "title": "Cardiac Magnetic Resonance" | ||
37 | }, | 41 | }, | ||
38 | { | 42 | { | ||
39 | "description": "", | 43 | "description": "", | ||
n | 40 | "display_name": "Cardiac MRI", | n | 44 | "display_name": "Deep Learning", |
41 | "id": "fbd14ab3-8c61-43fc-b680-ee67593c08a0", | 45 | "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922", | ||
42 | "image_display_url": "", | 46 | "image_display_url": "", | ||
n | 43 | "name": "cardiac-mri", | n | 47 | "name": "deep-learning", |
44 | "title": "Cardiac MRI" | 48 | "title": "Deep Learning" | ||
45 | }, | ||||
46 | { | ||||
47 | "description": "", | ||||
48 | "display_name": "Cardiac Segmentation", | ||||
49 | "id": "a023cbdd-40a8-4680-b888-7a449f194277", | ||||
50 | "image_display_url": "", | ||||
51 | "name": "cardiac-segmentation", | ||||
52 | "title": "Cardiac Segmentation" | ||||
53 | }, | ||||
54 | { | ||||
55 | "description": "", | ||||
56 | "display_name": "Cardiac imaging", | ||||
57 | "id": "83b3e5d3-89a6-4374-9564-f0672a3e899d", | ||||
58 | "image_display_url": "", | ||||
59 | "name": "cardiac-imaging", | ||||
60 | "title": "Cardiac imaging" | ||||
61 | }, | ||||
62 | { | ||||
63 | "description": "", | ||||
64 | "display_name": "Diagnosis", | ||||
65 | "id": "0433cff6-65fd-4c7b-995a-676caadef92d", | ||||
66 | "image_display_url": "", | ||||
67 | "name": "diagnosis", | ||||
68 | "title": "Diagnosis" | ||||
69 | }, | ||||
70 | { | ||||
71 | "description": "", | ||||
72 | "display_name": "Low-Light Vision", | ||||
73 | "id": "44d14171-bcd0-4dd7-bd7e-5ec4282b87b7", | ||||
74 | "image_display_url": "", | ||||
75 | "name": "low-light-vision", | ||||
76 | "title": "Low-Light Vision" | ||||
77 | }, | ||||
78 | { | ||||
79 | "description": "", | ||||
80 | "display_name": "Medical Image Analysis", | ||||
81 | "id": "2f8bf60c-dbda-4650-b6f0-ee38a7549438", | ||||
82 | "image_display_url": "", | ||||
83 | "name": "medical-image-analysis", | ||||
84 | "title": "Medical Image Analysis" | ||||
85 | }, | ||||
86 | { | ||||
87 | "description": "", | ||||
88 | "display_name": "Medical Image Segmentation", | ||||
89 | "id": "30b6f278-a6f5-4a21-8a07-80737406cc87", | ||||
90 | "image_display_url": "", | ||||
91 | "name": "medical-image-segmentation", | ||||
92 | "title": "Medical Image Segmentation" | ||||
93 | }, | ||||
94 | { | ||||
95 | "description": "", | ||||
96 | "display_name": "Medical Imaging", | ||||
97 | "id": "b86e8f52-a230-44ce-b290-7823c9f6a877", | ||||
98 | "image_display_url": "", | ||||
99 | "name": "medical-imaging", | ||||
100 | "title": "Medical Imaging" | ||||
101 | }, | ||||
102 | { | ||||
103 | "description": "", | ||||
104 | "display_name": "Orientation Recognition", | ||||
105 | "id": "8077f44c-fd35-4cdf-b81b-73d9d50f8991", | ||||
106 | "image_display_url": "", | ||||
107 | "name": "orientation-recognition", | ||||
108 | "title": "Orientation Recognition" | ||||
109 | }, | 49 | }, | ||
110 | { | 50 | { | ||
111 | "description": "", | 51 | "description": "", | ||
112 | "display_name": "Segmentation", | 52 | "display_name": "Segmentation", | ||
113 | "id": "547aeba4-a5c9-4b8d-90a5-d07359437b2d", | 53 | "id": "547aeba4-a5c9-4b8d-90a5-d07359437b2d", | ||
114 | "image_display_url": "", | 54 | "image_display_url": "", | ||
115 | "name": "segmentation", | 55 | "name": "segmentation", | ||
116 | "title": "Segmentation" | 56 | "title": "Segmentation" | ||
117 | }, | 57 | }, | ||
118 | { | 58 | { | ||
119 | "description": "", | 59 | "description": "", | ||
n | 120 | "display_name": "Semantic Segmentation", | n | 60 | "display_name": "Urban Scene Dataset", |
121 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 61 | "id": "579164dd-1b53-4bb6-8de9-4d30cbadea32", | ||
122 | "image_display_url": "", | 62 | "image_display_url": "", | ||
n | 123 | "name": "semantic-segmentation", | n | 63 | "name": "urban-scene-dataset", |
124 | "title": "Semantic Segmentation" | 64 | "title": "Urban Scene Dataset" | ||
65 | }, | ||||
66 | { | ||||
67 | "description": "", | ||||
68 | "display_name": "Weather Conditions", | ||||
69 | "id": "27177048-d3ab-41dd-8da1-f7b087383b7a", | ||||
70 | "image_display_url": "", | ||||
71 | "name": "weather-conditions", | ||||
72 | "title": "Weather Conditions" | ||||
125 | } | 73 | } | ||
126 | ], | 74 | ], | ||
127 | "id": "f06ca09b-6320-4337-b28e-f3755a744319", | 75 | "id": "f06ca09b-6320-4337-b28e-f3755a744319", | ||
128 | "isopen": false, | 76 | "isopen": false, | ||
n | 129 | "landing_page": "https://www.acdc challenge.net/", | n | 77 | "landing_page": "https://www.acdc-dataset.com/", |
130 | "license_title": null, | 78 | "license_title": null, | ||
131 | "link_orkg": "", | 79 | "link_orkg": "", | ||
132 | "metadata_created": "2024-12-02T17:56:32.448635", | 80 | "metadata_created": "2024-12-02T17:56:32.448635", | ||
n | 133 | "metadata_modified": "2024-12-02T17:56:32.843885", | n | 81 | "metadata_modified": "2024-12-03T11:09:21.184473", |
134 | "name": "acdc-dataset", | 82 | "name": "acdc-dataset", | ||
n | 135 | "notes": "The ACDC dataset consists of short-axis cardiac images | n | 83 | "notes": "The ACDC dataset is a large-scale dataset containing |
136 | using anatomi-cal MRI sequence (BSSFP) from 100 patients, with gold | 84 | images of urban scenes under different weather conditions.", | ||
137 | standard segmentation of cardiac ventricular structures, including | ||||
138 | left ventricle blood cavity (LV), left ventricle myocardium (MYO), and | ||||
139 | right ventricle blood cavity (RV).", | ||||
140 | "num_resources": 1, | 85 | "num_resources": 0, | ||
141 | "num_tags": 24, | 86 | "num_tags": 7, | ||
142 | "organization": { | 87 | "organization": { | ||
143 | "approval_status": "approved", | 88 | "approval_status": "approved", | ||
144 | "created": "2024-11-25T12:11:38.292601", | 89 | "created": "2024-11-25T12:11:38.292601", | ||
145 | "description": "", | 90 | "description": "", | ||
146 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 91 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
147 | "image_url": "", | 92 | "image_url": "", | ||
148 | "is_organization": true, | 93 | "is_organization": true, | ||
149 | "name": "no-organization", | 94 | "name": "no-organization", | ||
150 | "state": "active", | 95 | "state": "active", | ||
151 | "title": "No Organization", | 96 | "title": "No Organization", | ||
152 | "type": "organization" | 97 | "type": "organization" | ||
153 | }, | 98 | }, | ||
154 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 99 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
155 | "private": false, | 100 | "private": false, | ||
156 | "relationships_as_object": [], | 101 | "relationships_as_object": [], | ||
157 | "relationships_as_subject": [], | 102 | "relationships_as_subject": [], | ||
n | 158 | "resources": [ | n | 103 | "resources": [], |
159 | { | ||||
160 | "cache_last_updated": null, | ||||
161 | "cache_url": null, | ||||
162 | "created": "2024-12-02T18:38:42", | ||||
163 | "data": [ | ||||
164 | "dcterms:title", | ||||
165 | "dcterms:accessRights", | ||||
166 | "dcterms:creator", | ||||
167 | "dcterms:description", | ||||
168 | "dcterms:issued", | ||||
169 | "dcterms:language", | ||||
170 | "dcterms:identifier", | ||||
171 | "dcat:theme", | ||||
172 | "dcterms:type", | ||||
173 | "dcat:keyword", | ||||
174 | "dcat:landingPage", | ||||
175 | "dcterms:hasVersion", | ||||
176 | "dcterms:format", | ||||
177 | "mls:task", | ||||
178 | "datacite:isDescribedBy" | ||||
179 | ], | ||||
180 | "description": "The json representation of the dataset with its | ||||
181 | distributions based on DCAT.", | ||||
182 | "format": "JSON", | ||||
183 | "hash": "", | ||||
184 | "id": "40b6c3d3-1754-4646-94fc-f277b9c6f4c3", | ||||
185 | "last_modified": "2024-12-02T17:56:32.833598", | ||||
186 | "metadata_modified": "2024-12-02T17:56:32.846684", | ||||
187 | "mimetype": "application/json", | ||||
188 | "mimetype_inner": null, | ||||
189 | "name": "Original Metadata", | ||||
190 | "package_id": "f06ca09b-6320-4337-b28e-f3755a744319", | ||||
191 | "position": 0, | ||||
192 | "resource_type": null, | ||||
193 | "size": 2040, | ||||
194 | "state": "active", | ||||
195 | "url": | ||||
196 | resource/40b6c3d3-1754-4646-94fc-f277b9c6f4c3/download/metadata.json", | ||||
197 | "url_type": "upload" | ||||
198 | } | ||||
199 | ], | ||||
200 | "services_used_list": "", | 104 | "services_used_list": "", | ||
201 | "state": "active", | 105 | "state": "active", | ||
202 | "tags": [ | 106 | "tags": [ | ||
203 | { | 107 | { | ||
n | 204 | "display_name": "3D cardiac MRI", | n | 108 | "display_name": "Cardiac Imaging", |
205 | "id": "086bf2ce-bd24-4839-9bc9-a7b99ce50c98", | 109 | "id": "0aaa9f09-2f64-449d-8628-ca910abfce7a", | ||
206 | "name": "3D cardiac MRI", | 110 | "name": "Cardiac Imaging", | ||
207 | "state": "active", | 111 | "state": "active", | ||
208 | "vocabulary_id": null | 112 | "vocabulary_id": null | ||
209 | }, | 113 | }, | ||
210 | { | 114 | { | ||
n | 211 | "display_name": "ACDC", | n | 115 | "display_name": "Diagnosis", |
212 | "id": "bc0156d8-9ac5-4c10-8a43-d491a3d40138", | 116 | "id": "265f9380-387d-4524-9124-917e746b3fd3", | ||
213 | "name": "ACDC", | 117 | "name": "Diagnosis", | ||
214 | "state": "active", | 118 | "state": "active", | ||
215 | "vocabulary_id": null | 119 | "vocabulary_id": null | ||
216 | }, | 120 | }, | ||
217 | { | 121 | { | ||
n | 218 | "display_name": "Adverse Conditions", | n | 122 | "display_name": "Image Dataset", |
219 | "id": "ba84dc45-ef25-416c-97a1-360731b6b25e", | 123 | "id": "51aed645-6dd9-4e08-894a-10944ecefd8b", | ||
220 | "name": "Adverse Conditions", | 124 | "name": "Image Dataset", | ||
221 | "state": "active", | 125 | "state": "active", | ||
222 | "vocabulary_id": null | 126 | "vocabulary_id": null | ||
223 | }, | 127 | }, | ||
224 | { | 128 | { | ||
n | 225 | "display_name": "Cardiac Anatomy", | n | ||
226 | "id": "953d427d-b5a1-4ec1-83bb-df4c2d15fc06", | ||||
227 | "name": "Cardiac Anatomy", | ||||
228 | "state": "active", | ||||
229 | "vocabulary_id": null | ||||
230 | }, | ||||
231 | { | ||||
232 | "display_name": "Cardiac MR images", | ||||
233 | "id": "a872b3f4-ea28-4279-a929-78fe13953698", | ||||
234 | "name": "Cardiac MR images", | ||||
235 | "state": "active", | ||||
236 | "vocabulary_id": null | ||||
237 | }, | ||||
238 | { | ||||
239 | "display_name": "Cardiac MRI", | 129 | "display_name": "MRI", | ||
240 | "id": "c1f34d75-255e-41b2-8bd0-2dc6a97efa49", | 130 | "id": "691fbac1-fe9f-4613-9ab6-60b92f9b69b6", | ||
241 | "name": "Cardiac MRI", | 131 | "name": "MRI", | ||
242 | "state": "active", | ||||
243 | "vocabulary_id": null | ||||
244 | }, | ||||
245 | { | ||||
246 | "display_name": "Cardiac images", | ||||
247 | "id": "d3e115d2-6f01-4a04-bab4-edd12e16734e", | ||||
248 | "name": "Cardiac images", | ||||
249 | "state": "active", | ||||
250 | "vocabulary_id": null | ||||
251 | }, | ||||
252 | { | ||||
253 | "display_name": "Medical Image Segmentation", | ||||
254 | "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f", | ||||
255 | "name": "Medical Image Segmentation", | ||||
256 | "state": "active", | ||||
257 | "vocabulary_id": null | ||||
258 | }, | ||||
259 | { | ||||
260 | "display_name": "Medical imaging", | ||||
261 | "id": "908e1e3f-6868-417d-a95a-0aed5609076b", | ||||
262 | "name": "Medical imaging", | ||||
263 | "state": "active", | ||||
264 | "vocabulary_id": null | ||||
265 | }, | ||||
266 | { | ||||
267 | "display_name": "Nighttime Images", | ||||
268 | "id": "abade50d-653f-4671-97da-e8f7619057e6", | ||||
269 | "name": "Nighttime Images", | ||||
270 | "state": "active", | 132 | "state": "active", | ||
271 | "vocabulary_id": null | 133 | "vocabulary_id": null | ||
272 | }, | 134 | }, | ||
273 | { | 135 | { | ||
274 | "display_name": "Segmentation", | 136 | "display_name": "Segmentation", | ||
275 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | 137 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | ||
276 | "name": "Segmentation", | 138 | "name": "Segmentation", | ||
277 | "state": "active", | 139 | "state": "active", | ||
278 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
279 | }, | 141 | }, | ||
280 | { | 142 | { | ||
n | 281 | "display_name": "Segmentation Masks", | n | 143 | "display_name": "Urban Scene", |
282 | "id": "3064fd48-b6f6-42d5-a92f-e0620bcb11bd", | 144 | "id": "8e947422-d2b1-49ea-9b18-87781c722b5b", | ||
283 | "name": "Segmentation Masks", | 145 | "name": "Urban Scene", | ||
284 | "state": "active", | 146 | "state": "active", | ||
285 | "vocabulary_id": null | 147 | "vocabulary_id": null | ||
286 | }, | 148 | }, | ||
287 | { | 149 | { | ||
n | 288 | "display_name": "Semantic Segmentation", | n | ||
289 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||||
290 | "name": "Semantic Segmentation", | ||||
291 | "state": "active", | ||||
292 | "vocabulary_id": null | ||||
293 | }, | ||||
294 | { | ||||
295 | "display_name": "cardiac MRI", | ||||
296 | "id": "d0c2a77f-4c7f-4b26-9e92-a18af7a705b1", | ||||
297 | "name": "cardiac MRI", | ||||
298 | "state": "active", | ||||
299 | "vocabulary_id": null | ||||
300 | }, | ||||
301 | { | ||||
302 | "display_name": "cardiac imaging", | ||||
303 | "id": "fda3604e-7d2a-4f35-99fc-4c22d8842df7", | ||||
304 | "name": "cardiac imaging", | ||||
305 | "state": "active", | ||||
306 | "vocabulary_id": null | ||||
307 | }, | ||||
308 | { | ||||
309 | "display_name": "diagnosis", | ||||
310 | "id": "2fd6b49b-a353-4cda-9f01-e754b6382264", | ||||
311 | "name": "diagnosis", | ||||
312 | "state": "active", | ||||
313 | "vocabulary_id": null | ||||
314 | }, | ||||
315 | { | ||||
316 | "display_name": "low-light vision", | ||||
317 | "id": "af43bff7-9df8-48c8-b067-92a5db07ab6c", | ||||
318 | "name": "low-light vision", | ||||
319 | "state": "active", | ||||
320 | "vocabulary_id": null | ||||
321 | }, | ||||
322 | { | ||||
323 | "display_name": "medical images", | ||||
324 | "id": "8e695e53-0fca-4cb6-90ee-131dc9cfeab9", | ||||
325 | "name": "medical images", | ||||
326 | "state": "active", | ||||
327 | "vocabulary_id": null | ||||
328 | }, | ||||
329 | { | ||||
330 | "display_name": "myocardium", | ||||
331 | "id": "b30bc3d0-52e8-4e4a-94da-f4444014b4b5", | ||||
332 | "name": "myocardium", | ||||
333 | "state": "active", | ||||
334 | "vocabulary_id": null | ||||
335 | }, | ||||
336 | { | ||||
337 | "display_name": "nighttime dataset", | ||||
338 | "id": "c63a0b20-c7e2-4392-844b-b9182c66e9fb", | ||||
339 | "name": "nighttime dataset", | ||||
340 | "state": "active", | ||||
341 | "vocabulary_id": null | ||||
342 | }, | ||||
343 | { | ||||
344 | "display_name": "orientation recognition", | ||||
345 | "id": "b7b6e014-f456-4cba-88f6-ddf67cc20f1e", | ||||
346 | "name": "orientation recognition", | ||||
347 | "state": "active", | ||||
348 | "vocabulary_id": null | ||||
349 | }, | ||||
350 | { | ||||
351 | "display_name": "segmentation", | 150 | "display_name": "Weather Conditions", | ||
352 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | 151 | "id": "ba4fe382-104e-4c73-abb7-802a4029ace9", | ||
353 | "name": "segmentation", | 152 | "name": "Weather Conditions", | ||
354 | "state": "active", | ||||
355 | "vocabulary_id": null | ||||
356 | }, | ||||
357 | { | ||||
358 | "display_name": "semantic segmentation", | ||||
359 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||||
360 | "name": "semantic segmentation", | ||||
361 | "state": "active", | ||||
362 | "vocabulary_id": null | ||||
363 | }, | ||||
364 | { | ||||
365 | "display_name": "standardization", | ||||
366 | "id": "5962b436-54b6-47d9-a9f6-f11f1a020a06", | ||||
367 | "name": "standardization", | ||||
368 | "state": "active", | 153 | "state": "active", | ||
369 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
370 | } | 155 | } | ||
371 | ], | 156 | ], | ||
t | 372 | "title": "ACDC dataset", | t | 157 | "title": "ACDC Dataset", |
373 | "type": "dataset", | 158 | "type": "dataset", | ||
374 | "version": "" | 159 | "version": "" | ||
375 | } | 160 | } |