Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "author": "Toulany, Nikan",
2
  "author": "Toulany, Nikan",
            
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": "10.48606/50",
5
  "doi": "10.48606/50",
            
6
  "doi_date_published": "2023",
6
  "doi_date_published": "2023",
            
7
  "doi_publisher": "",
7
  "doi_publisher": "",
            
8
  "doi_status": "True",
8
  "doi_status": "True",
            
9
  "groups": [],
9
  "groups": [],
            
10
  "id": "dc7be277-653e-47a2-b594-1bd57ddaa4f8",
10
  "id": "dc7be277-653e-47a2-b594-1bd57ddaa4f8",
            
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": "2023-05-02T07:10:12.143895",
14
  "metadata_created": "2023-05-02T07:10:12.143895",
            
t
15
  "metadata_modified": "2023-08-04T09:03:48.893459",
t
15
  "metadata_modified": "2023-08-04T09:27:57.797171",
            
16
  "name": "rdr-doi-10-48606-50",
16
  "name": "rdr-doi-10-48606-50",
            
17
  "notes": "Abstract: This is the data repository for training and 
17
  "notes": "Abstract: This is the data repository for training and 
            
18
testing the Twin Network. The imaging data repositories are divided 
18
testing the Twin Network. The imaging data repositories are divided 
            
19
into several packages based on independent experiments. The data 
19
into several packages based on independent experiments. The data 
            
20
comprises bright-field time-lapse images of zebrafish embryos acquired 
20
comprises bright-field time-lapse images of zebrafish embryos acquired 
            
21
in multiple batches within multi-well plates using an Acquifer Imaging 
21
in multiple batches within multi-well plates using an Acquifer Imaging 
            
22
Machine. Individual embryo segments were identified and extracted 
22
Machine. Individual embryo segments were identified and extracted 
            
23
using a trained neural network for object detection. Within these 
23
using a trained neural network for object detection. Within these 
            
24
experiment folders, data are organized by microscope position and 
24
experiment folders, data are organized by microscope position and 
            
25
embryo number.",
25
embryo number.",
            
26
  "num_resources": 0,
26
  "num_resources": 0,
            
27
  "num_tags": 9,
27
  "num_tags": 9,
            
28
  "orcid": "0000-0003-3505-7325",
28
  "orcid": "0000-0003-3505-7325",
            
29
  "organization": {
29
  "organization": {
            
30
    "approval_status": "approved",
30
    "approval_status": "approved",
            
31
    "created": "2023-01-12T13:30:23.238233",
31
    "created": "2023-01-12T13:30:23.238233",
            
32
    "description": "RADAR (Research Data Repository) is a 
32
    "description": "RADAR (Research Data Repository) is a 
            
33
cross-disciplinary repository for archiving and publishing research 
33
cross-disciplinary repository for archiving and publishing research 
            
34
data from completed scientific studies and projects. The focus is on 
34
data from completed scientific studies and projects. The focus is on 
            
35
research data from subjects that do not yet have their own 
35
research data from subjects that do not yet have their own 
            
36
discipline-specific infrastructures for research data management. ",
36
discipline-specific infrastructures for research data management. ",
            
37
    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
37
    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
38
    "image_url": "radar-logo.svg",
38
    "image_url": "radar-logo.svg",
            
39
    "is_organization": true,
39
    "is_organization": true,
            
40
    "name": "radar",
40
    "name": "radar",
            
41
    "state": "active",
41
    "state": "active",
            
42
    "title": "RADAR",
42
    "title": "RADAR",
            
43
    "type": "organization"
43
    "type": "organization"
            
44
  },
44
  },
            
45
  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
45
  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
46
  "private": false,
46
  "private": false,
            
47
  "production_year": "2020-2023",
47
  "production_year": "2020-2023",
            
48
  "publication_year": "2023",
48
  "publication_year": "2023",
            
49
  "publishers": [
49
  "publishers": [
            
50
    {
50
    {
            
51
      "publisher": "University of Konstanz"
51
      "publisher": "University of Konstanz"
            
52
    }
52
    }
            
53
  ],
53
  ],
            
54
  "related_identifiers": [
54
  "related_identifiers": [
            
55
    {
55
    {
            
56
      "identifier": "10.48606/94",
56
      "identifier": "10.48606/94",
            
57
      "identifier_type": "DOI",
57
      "identifier_type": "DOI",
            
58
      "relation_type": "HasPart"
58
      "relation_type": "HasPart"
            
59
    },
59
    },
            
60
    {
60
    {
            
61
      "identifier": "10.48606/58",
61
      "identifier": "10.48606/58",
            
62
      "identifier_type": "DOI",
62
      "identifier_type": "DOI",
            
63
      "relation_type": "HasPart"
63
      "relation_type": "HasPart"
            
64
    },
64
    },
            
65
    {
65
    {
            
66
      "identifier": "10.48606/59",
66
      "identifier": "10.48606/59",
            
67
      "identifier_type": "DOI",
67
      "identifier_type": "DOI",
            
68
      "relation_type": "HasPart"
68
      "relation_type": "HasPart"
            
69
    },
69
    },
            
70
    {
70
    {
            
71
      "identifier": "10.48606/61",
71
      "identifier": "10.48606/61",
            
72
      "identifier_type": "DOI",
72
      "identifier_type": "DOI",
            
73
      "relation_type": "HasPart"
73
      "relation_type": "HasPart"
            
74
    },
74
    },
            
75
    {
75
    {
            
76
      "identifier": "10.48606/62",
76
      "identifier": "10.48606/62",
            
77
      "identifier_type": "DOI",
77
      "identifier_type": "DOI",
            
78
      "relation_type": "HasPart"
78
      "relation_type": "HasPart"
            
79
    },
79
    },
            
80
    {
80
    {
            
81
      "identifier": "10.48606/63",
81
      "identifier": "10.48606/63",
            
82
      "identifier_type": "DOI",
82
      "identifier_type": "DOI",
            
83
      "relation_type": "HasPart"
83
      "relation_type": "HasPart"
            
84
    },
84
    },
            
85
    {
85
    {
            
86
      "identifier": "10.48606/64",
86
      "identifier": "10.48606/64",
            
87
      "identifier_type": "DOI",
87
      "identifier_type": "DOI",
            
88
      "relation_type": "HasPart"
88
      "relation_type": "HasPart"
            
89
    },
89
    },
            
90
    {
90
    {
            
91
      "identifier": "10.48606/65",
91
      "identifier": "10.48606/65",
            
92
      "identifier_type": "DOI",
92
      "identifier_type": "DOI",
            
93
      "relation_type": "HasPart"
93
      "relation_type": "HasPart"
            
94
    },
94
    },
            
95
    {
95
    {
            
96
      "identifier": "10.48606/67",
96
      "identifier": "10.48606/67",
            
97
      "identifier_type": "DOI",
97
      "identifier_type": "DOI",
            
98
      "relation_type": "HasPart"
98
      "relation_type": "HasPart"
            
99
    },
99
    },
            
100
    {
100
    {
            
101
      "identifier": "10.48606/68",
101
      "identifier": "10.48606/68",
            
102
      "identifier_type": "DOI",
102
      "identifier_type": "DOI",
            
103
      "relation_type": "HasPart"
103
      "relation_type": "HasPart"
            
104
    },
104
    },
            
105
    {
105
    {
            
106
      "identifier": "10.48606/69",
106
      "identifier": "10.48606/69",
            
107
      "identifier_type": "DOI",
107
      "identifier_type": "DOI",
            
108
      "relation_type": "HasPart"
108
      "relation_type": "HasPart"
            
109
    },
109
    },
            
110
    {
110
    {
            
111
      "identifier": "10.48606/70",
111
      "identifier": "10.48606/70",
            
112
      "identifier_type": "DOI",
112
      "identifier_type": "DOI",
            
113
      "relation_type": "HasPart"
113
      "relation_type": "HasPart"
            
114
    },
114
    },
            
115
    {
115
    {
            
116
      "identifier": "10.48606/71",
116
      "identifier": "10.48606/71",
            
117
      "identifier_type": "DOI",
117
      "identifier_type": "DOI",
            
118
      "relation_type": "HasPart"
118
      "relation_type": "HasPart"
            
119
    },
119
    },
            
120
    {
120
    {
            
121
      "identifier": "10.48606/72",
121
      "identifier": "10.48606/72",
            
122
      "identifier_type": "DOI",
122
      "identifier_type": "DOI",
            
123
      "relation_type": "HasPart"
123
      "relation_type": "HasPart"
            
124
    },
124
    },
            
125
    {
125
    {
            
126
      "identifier": "10.48606/73",
126
      "identifier": "10.48606/73",
            
127
      "identifier_type": "DOI",
127
      "identifier_type": "DOI",
            
128
      "relation_type": "HasPart"
128
      "relation_type": "HasPart"
            
129
    },
129
    },
            
130
    {
130
    {
            
131
      "identifier": "10.48606/74",
131
      "identifier": "10.48606/74",
            
132
      "identifier_type": "DOI",
132
      "identifier_type": "DOI",
            
133
      "relation_type": "HasPart"
133
      "relation_type": "HasPart"
            
134
    },
134
    },
            
135
    {
135
    {
            
136
      "identifier": "10.48606/76",
136
      "identifier": "10.48606/76",
            
137
      "identifier_type": "DOI",
137
      "identifier_type": "DOI",
            
138
      "relation_type": "HasPart"
138
      "relation_type": "HasPart"
            
139
    },
139
    },
            
140
    {
140
    {
            
141
      "identifier": "10.48606/75",
141
      "identifier": "10.48606/75",
            
142
      "identifier_type": "DOI",
142
      "identifier_type": "DOI",
            
143
      "relation_type": "HasPart"
143
      "relation_type": "HasPart"
            
144
    },
144
    },
            
145
    {
145
    {
            
146
      "identifier": "10.48606/77",
146
      "identifier": "10.48606/77",
            
147
      "identifier_type": "DOI",
147
      "identifier_type": "DOI",
            
148
      "relation_type": "HasPart"
148
      "relation_type": "HasPart"
            
149
    },
149
    },
            
150
    {
150
    {
            
151
      "identifier": "10.48606/78",
151
      "identifier": "10.48606/78",
            
152
      "identifier_type": "DOI",
152
      "identifier_type": "DOI",
            
153
      "relation_type": "HasPart"
153
      "relation_type": "HasPart"
            
154
    },
154
    },
            
155
    {
155
    {
            
156
      "identifier": "10.48606/79",
156
      "identifier": "10.48606/79",
            
157
      "identifier_type": "DOI",
157
      "identifier_type": "DOI",
            
158
      "relation_type": "HasPart"
158
      "relation_type": "HasPart"
            
159
    },
159
    },
            
160
    {
160
    {
            
161
      "identifier": "10.48606/80",
161
      "identifier": "10.48606/80",
            
162
      "identifier_type": "DOI",
162
      "identifier_type": "DOI",
            
163
      "relation_type": "HasPart"
163
      "relation_type": "HasPart"
            
164
    },
164
    },
            
165
    {
165
    {
            
166
      "identifier": "10.48606/81",
166
      "identifier": "10.48606/81",
            
167
      "identifier_type": "DOI",
167
      "identifier_type": "DOI",
            
168
      "relation_type": "HasPart"
168
      "relation_type": "HasPart"
            
169
    },
169
    },
            
170
    {
170
    {
            
171
      "identifier": "10.48606/82",
171
      "identifier": "10.48606/82",
            
172
      "identifier_type": "DOI",
172
      "identifier_type": "DOI",
            
173
      "relation_type": "HasPart"
173
      "relation_type": "HasPart"
            
174
    },
174
    },
            
175
    {
175
    {
            
176
      "identifier": "10.48606/84",
176
      "identifier": "10.48606/84",
            
177
      "identifier_type": "DOI",
177
      "identifier_type": "DOI",
            
178
      "relation_type": "HasPart"
178
      "relation_type": "HasPart"
            
179
    },
179
    },
            
180
    {
180
    {
            
181
      "identifier": "10.48606/83",
181
      "identifier": "10.48606/83",
            
182
      "identifier_type": "DOI",
182
      "identifier_type": "DOI",
            
183
      "relation_type": "HasPart"
183
      "relation_type": "HasPart"
            
184
    },
184
    },
            
185
    {
185
    {
            
186
      "identifier": "10.48606/85",
186
      "identifier": "10.48606/85",
            
187
      "identifier_type": "DOI",
187
      "identifier_type": "DOI",
            
188
      "relation_type": "HasPart"
188
      "relation_type": "HasPart"
            
189
    },
189
    },
            
190
    {
190
    {
            
191
      "identifier": "10.48606/86",
191
      "identifier": "10.48606/86",
            
192
      "identifier_type": "DOI",
192
      "identifier_type": "DOI",
            
193
      "relation_type": "HasPart"
193
      "relation_type": "HasPart"
            
194
    },
194
    },
            
195
    {
195
    {
            
196
      "identifier": "10.48606/87",
196
      "identifier": "10.48606/87",
            
197
      "identifier_type": "DOI",
197
      "identifier_type": "DOI",
            
198
      "relation_type": "HasPart"
198
      "relation_type": "HasPart"
            
199
    },
199
    },
            
200
    {
200
    {
            
201
      "identifier": "10.48606/88",
201
      "identifier": "10.48606/88",
            
202
      "identifier_type": "DOI",
202
      "identifier_type": "DOI",
            
203
      "relation_type": "HasPart"
203
      "relation_type": "HasPart"
            
204
    },
204
    },
            
205
    {
205
    {
            
206
      "identifier": "10.48606/89",
206
      "identifier": "10.48606/89",
            
207
      "identifier_type": "DOI",
207
      "identifier_type": "DOI",
            
208
      "relation_type": "HasPart"
208
      "relation_type": "HasPart"
            
209
    },
209
    },
            
210
    {
210
    {
            
211
      "identifier": "10.48606/90",
211
      "identifier": "10.48606/90",
            
212
      "identifier_type": "DOI",
212
      "identifier_type": "DOI",
            
213
      "relation_type": "HasPart"
213
      "relation_type": "HasPart"
            
214
    },
214
    },
            
215
    {
215
    {
            
216
      "identifier": "10.48606/91",
216
      "identifier": "10.48606/91",
            
217
      "identifier_type": "DOI",
217
      "identifier_type": "DOI",
            
218
      "relation_type": "HasPart"
218
      "relation_type": "HasPart"
            
219
    },
219
    },
            
220
    {
220
    {
            
221
      "identifier": "10.48606/92",
221
      "identifier": "10.48606/92",
            
222
      "identifier_type": "DOI",
222
      "identifier_type": "DOI",
            
223
      "relation_type": "HasPart"
223
      "relation_type": "HasPart"
            
224
    }
224
    }
            
225
  ],
225
  ],
            
226
  "relationships_as_object": [],
226
  "relationships_as_object": [],
            
227
  "relationships_as_subject": [],
227
  "relationships_as_subject": [],
            
228
  "repository_name": "RADAR (Research Data Repository)",
228
  "repository_name": "RADAR (Research Data Repository)",
            
229
  "resource_type": "Dataset - Overview of the Twin Network data 
229
  "resource_type": "Dataset - Overview of the Twin Network data 
            
230
packages.",
230
packages.",
            
231
  "resources": [],
231
  "resources": [],
            
232
  "services_used_list": "",
232
  "services_used_list": "",
            
233
  "source_metadata_created": "2023",
233
  "source_metadata_created": "2023",
            
234
  "source_metadata_modified": "",
234
  "source_metadata_modified": "",
            
235
  "state": "active",
235
  "state": "active",
            
236
  "subject_areas": [
236
  "subject_areas": [
            
237
    {
237
    {
            
238
      "subject_area_additional": "",
238
      "subject_area_additional": "",
            
239
      "subject_area_name": "Biology"
239
      "subject_area_name": "Biology"
            
240
    }
240
    }
            
241
  ],
241
  ],
            
242
  "tags": [
242
  "tags": [
            
243
    {
243
    {
            
244
      "display_name": "Twin Network",
244
      "display_name": "Twin Network",
            
245
      "id": "577497b6-6d97-4c41-b0b2-dbaefb6702eb",
245
      "id": "577497b6-6d97-4c41-b0b2-dbaefb6702eb",
            
246
      "name": "Twin Network",
246
      "name": "Twin Network",
            
247
      "state": "active",
247
      "state": "active",
            
248
      "vocabulary_id": null
248
      "vocabulary_id": null
            
249
    },
249
    },
            
250
    {
250
    {
            
251
      "display_name": "TwinNet",
251
      "display_name": "TwinNet",
            
252
      "id": "1ba52854-ef13-464f-ab07-2e57070491c3",
252
      "id": "1ba52854-ef13-464f-ab07-2e57070491c3",
            
253
      "name": "TwinNet",
253
      "name": "TwinNet",
            
254
      "state": "active",
254
      "state": "active",
            
255
      "vocabulary_id": null
255
      "vocabulary_id": null
            
256
    },
256
    },
            
257
    {
257
    {
            
258
      "display_name": "computational biology",
258
      "display_name": "computational biology",
            
259
      "id": "d65dd4ed-b2a9-41b0-9d19-cb77b1965ff1",
259
      "id": "d65dd4ed-b2a9-41b0-9d19-cb77b1965ff1",
            
260
      "name": "computational biology",
260
      "name": "computational biology",
            
261
      "state": "active",
261
      "state": "active",
            
262
      "vocabulary_id": null
262
      "vocabulary_id": null
            
263
    },
263
    },
            
264
    {
264
    {
            
265
      "display_name": "deep learning",
265
      "display_name": "deep learning",
            
266
      "id": "19e41883-3799-4184-9e0e-26c95795b119",
266
      "id": "19e41883-3799-4184-9e0e-26c95795b119",
            
267
      "name": "deep learning",
267
      "name": "deep learning",
            
268
      "state": "active",
268
      "state": "active",
            
269
      "vocabulary_id": null
269
      "vocabulary_id": null
            
270
    },
270
    },
            
271
    {
271
    {
            
272
      "display_name": "developmental biology",
272
      "display_name": "developmental biology",
            
273
      "id": "4acec762-54a0-4ecf-884d-e65d76375c46",
273
      "id": "4acec762-54a0-4ecf-884d-e65d76375c46",
            
274
      "name": "developmental biology",
274
      "name": "developmental biology",
            
275
      "state": "active",
275
      "state": "active",
            
276
      "vocabulary_id": null
276
      "vocabulary_id": null
            
277
    },
277
    },
            
278
    {
278
    {
            
279
      "display_name": "embryogenesis",
279
      "display_name": "embryogenesis",
            
280
      "id": "b66e6284-edc5-4f9b-97c8-4699c36c7352",
280
      "id": "b66e6284-edc5-4f9b-97c8-4699c36c7352",
            
281
      "name": "embryogenesis",
281
      "name": "embryogenesis",
            
282
      "state": "active",
282
      "state": "active",
            
283
      "vocabulary_id": null
283
      "vocabulary_id": null
            
284
    },
284
    },
            
285
    {
285
    {
            
286
      "display_name": "high-throughput",
286
      "display_name": "high-throughput",
            
287
      "id": "4c7004f2-f511-4233-af6a-3c2f8674670b",
287
      "id": "4c7004f2-f511-4233-af6a-3c2f8674670b",
            
288
      "name": "high-throughput",
288
      "name": "high-throughput",
            
289
      "state": "active",
289
      "state": "active",
            
290
      "vocabulary_id": null
290
      "vocabulary_id": null
            
291
    },
291
    },
            
292
    {
292
    {
            
293
      "display_name": "machine learning",
293
      "display_name": "machine learning",
            
294
      "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b",
294
      "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b",
            
295
      "name": "machine learning",
295
      "name": "machine learning",
            
296
      "state": "active",
296
      "state": "active",
            
297
      "vocabulary_id": null
297
      "vocabulary_id": null
            
298
    },
298
    },
            
299
    {
299
    {
            
300
      "display_name": "zebrafish",
300
      "display_name": "zebrafish",
            
301
      "id": "98db8ebb-7bdf-40cb-adc7-4b6ad2ed20f7",
301
      "id": "98db8ebb-7bdf-40cb-adc7-4b6ad2ed20f7",
            
302
      "name": "zebrafish",
302
      "name": "zebrafish",
            
303
      "state": "active",
303
      "state": "active",
            
304
      "vocabulary_id": null
304
      "vocabulary_id": null
            
305
    }
305
    }
            
306
  ],
306
  ],
            
307
  "title": "Datasets for \"uncovering developmental time and tempo 
307
  "title": "Datasets for \"uncovering developmental time and tempo 
            
308
using deep learning\"",
308
using deep learning\"",
            
309
  "type": "vdataset",
309
  "type": "vdataset",
            
310
  "url": "https://doi.org/10.48606/50"
310
  "url": "https://doi.org/10.48606/50"
            
311
}
311
}