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  1. LICENSE.txt +63 -0
  2. README.md +114 -90
  3. S-OH_data_dict.json +0 -3
  4. S-OH_metadata.csv +0 -1235
  5. data/A15/patient_2002.json +0 -0
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LICENSE.txt ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ The MIT License (MIT)
2
+
3
+ Copyright (c) 2013-2018 Michael Rose and contributors
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ Minimal Mistakes incorporates icons from [The Noun Project](https://thenounproject.com/)
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+ creators Garrett Knoll, Arthur Shlain, and Tracy Tam.
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+ Icons are distributed under Creative Commons Attribution 3.0 United States (CC BY 3.0 US).
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+ Minimal Mistakes incorporates [Font Awesome](http://fontawesome.io/),
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+ Font Awesome is distributed under the terms of the [SIL OFL 1.1](http://scripts.sil.org/OFL)
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+ Minimal Mistakes incorporates photographs from [Unsplash](https://unsplash.com).
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+ Minimal Mistakes incorporates [Susy](http://susy.oddbird.net/),
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+ Copyright (c) 2017, Miriam Eric Suzanne.
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+ Susy is distributed under the terms of the [BSD 3-clause "New" or "Revised" License](https://opensource.org/licenses/BSD-3-Clause).
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+ Minimal Mistakes incorporates [Breakpoint](http://breakpoint-sass.com/).
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+ Breakpoint is distributed under the terms of the [MIT/GPL Licenses](http://opensource.org/licenses/MIT).
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+ Minimal Mistakes incorporates [FitVids.js](https://github.com/davatron5000/FitVids.js/),
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+ Copyright (c) 2013 Dave Rubert and Chris Coyier.
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+ FitVids is distributed under the terms of the [WTFPL License](http://sam.zoy.org/wtfpl/).
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+ Minimal Mistakes incorporates [Magnific Popup](http://dimsemenov.com/plugins/magnific-popup/),
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+ Copyright (c) 2014-2016 Dmitry Semenov, http://dimsemenov.com.
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+ Magnific Popup is distributed under the terms of the MIT License.
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+ Minimal Mistakes incorporates [jQuery Smooth Scroll](https://github.com/kswedberg/jquery-smooth-scroll),
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+ Copyright (c) 2017 Karl Swedberg.
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+ jQuery Smooth Scroll is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).
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+ Minimal Mistakes incorporates [GreedyNav.js](https://github.com/lukejacksonn/GreedyNav),
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+ Copyright (c) 2015 Luke Jackson.
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+ GreedyNav.js is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).
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+ Copyright (c) 2015 Max White <[email protected]>.
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+ Jekyll Group-By-Array is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).
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+ Minimal Mistakes incorporates [Lunr](http://lunrjs.com),
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+ Copyright (c) 2017 Oliver Nightingale.
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+ Lunr is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).
README.md CHANGED
@@ -1,46 +1,8 @@
1
- ---
2
- license: mit
3
- task_categories:
4
- - time-series-forecasting
5
- language:
6
- - en
7
- pretty_name: Scent of Health (S-OH)
8
- tags:
9
- - electronic-nose
10
- - breath-analysis
11
- - disease-screening
12
- - multivariate-time-series
13
- - medical-dataset
14
- size_categories:
15
- - 1K<n<10K
16
- configs:
17
- - config_name: default
18
- data_files:
19
- - S-OH_metadata.csv
20
- features:
21
- - name: Patient_id
22
- dtype: int64
23
- - name: Patient_age
24
- dtype: int64
25
- - name: Patient_gender
26
- dtype: string
27
- - name: Diagnosis
28
- dtype: string
29
- - name: D_class
30
- dtype: int64
31
- - name: D_bin_class
32
- dtype: int64
33
- - name: Datetime
34
- dtype: string
35
- - name: Week
36
- dtype: int64
37
- - name: Site
38
- dtype: string
39
- ---
40
-
41
- # Scent of Health (S-OH) Dataset
42
-
43
- The **Scent of Health (S-OH)** dataset is the largest public clinical electronic nose (eNose) collection for non-invasive disease screening via exhaled breath analysis. It comprises **1,234 patients** across **nine diagnostic groups** (healthy controls and eight diseases), each providing a **17-channel multivariate time series** of breath measurements.
44
 
45
  | Property | Value |
46
  |----------|-------|
@@ -52,28 +14,41 @@ The **Scent of Health (S-OH)** dataset is the largest public clinical electronic
52
  | **Collection period** | 13 consecutive weeks |
53
  | **Clinical sites** | 2 |
54
 
55
- ## Diagnostic Groups
56
 
57
- | ICD-10 Code | Diagnosis | Count |
58
- |-------------|-----------|-------|
59
- | Z00 | Healthy controls | 256 |
60
- | E11 | Diabetes mellitus type II | 128 |
61
- | K29 | Gastritis and duodenitis | 138 |
62
- | K76 | Non-alcoholic fatty liver disease | 128 |
63
- | B18 | Hepatitis B/C | 138 |
64
- | C34 | Lung cancer | 100 |
65
- | N18 | Chronic renal failure | 128 |
66
- | J44 | COPD | 100 |
67
- | A15 | Respiratory tuberculosis | 118 |
68
- | **Total** | | **1,234** |
69
-
70
- **Demographics:**
71
- - Age range: 18–89 years (mean 53.9, std 13.4)
72
- - Gender: 690 female (55.9%), 544 male (44.1%)
 
 
 
 
 
 
 
 
 
 
 
 
 
73
 
74
- # Dataset Structure
75
 
76
- ### File 1: `S-OH_metadata.csv`
77
 
78
  CSV file containing patient metadata with the following columns:
79
 
@@ -81,26 +56,28 @@ CSV file containing patient metadata with the following columns:
81
  |--------|-------------|
82
  | `Patient_id` | Unique patient identifier |
83
  | `Patient_age` | Age in years |
84
- | `Patient_gender` | Gender (male or female) |
85
  | `Diagnosis` | ICD-10 diagnosis code |
86
- | `D_class` | Disease class (0–8) |
87
  | `D_bin_class` | Binary class for one-vs-rest classification |
88
  | `Datetime` | Collection timestamp |
89
  | `Week` | Collection week (1–13) |
90
- | `Site` | Clinical site (MONIKI or CRIT) |
 
 
91
 
92
- ### File 2: `S-OH_data_dict.json`
93
 
94
- JSON dictionary where each key is a patient ID (as string) with the following structure:
95
 
96
  ```json
97
  {
98
- "patient_id": int,
99
- "patient_diag_class": int,
100
- "startDateTime": "ISO timestamp",
101
- "startTimeGases": int,
102
- "endTimeGases": int,
103
- "durationSec": int,
104
  "sensors": [
105
  {
106
  "id": "enose",
@@ -142,7 +119,26 @@ JSON dictionary where each key is a patient ID (as string) with the following st
142
  }
143
  ```
144
 
145
- # eNose Channels (17 channels)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
146
 
147
  The eNose sensor array consists of 17 channels printed on a single chip:
148
 
@@ -150,8 +146,7 @@ The eNose sensor array consists of 17 channels printed on a single chip:
150
  |-------------|-----------|
151
  | R1–R17 | ZnO and metal-doped ZnO (In-ZnO, Ag-ZnO, Ce-ZnO, Ni-ZnO) |
152
 
153
-
154
- # Auxiliary Sensors
155
 
156
  | Sensor ID | Measurements |
157
  |-------------|-----------|
@@ -160,29 +155,58 @@ The eNose sensor array consists of 17 channels printed on a single chip:
160
  | ze08 | Carbon monoxide (CO) |
161
  | bme280 | Pressure, temperature, humidity |
162
 
163
- # Temporal Train/Test Splits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
164
  The dataset includes explicit temporal splits to enable drift-aware evaluation. For each disease, test weeks were selected to be temporally separated from training weeks, simulating real-world deployment conditions.
165
 
166
- # Ethics
167
- - The study protocol was approved by the Local Ethics Committee at Moscow Regional Research and Clinical Institute (MONIKI) and Central Research Institute of Tuberculosis (CRIT).
 
168
 
169
  - All participants provided written informed consent.
170
 
171
- # Citation
172
- If you use this dataset in your research, please cite:
173
- ```bibtex
174
 
 
 
 
 
 
 
 
 
175
  ```
176
 
177
  ## License
178
 
179
- This dataset is released under the **MIT License**. You are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the dataset, subject to the following conditions:
180
 
181
- > Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the "Dataset"), to deal in the Dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Dataset, and to permit persons to whom the Dataset is furnished to do so, subject to the following conditions:
182
- >
183
- > The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Dataset.
184
- >
185
- > THE DATASET IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE DATASET.
186
 
187
- #### Contact
188
- For questions or issues, please open an issue on this repository or contact the authors (see paper for details).
 
1
+ # Scent of Health (S-O-H) Dataset
2
+
3
+ ## Overview
4
+
5
+ The **Scent of Health (S-O-H)** dataset is the largest public clinical electronic nose (eNose) collection for non-invasive disease screening via exhaled breath analysis. It comprises **1,234 patients** across **eight diagnostic groups** (healthy controls and seven diseases), each providing a **17-channel multivariate time series** of breath measurements.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
 
7
  | Property | Value |
8
  |----------|-------|
 
14
  | **Collection period** | 13 consecutive weeks |
15
  | **Clinical sites** | 2 |
16
 
17
+ ## Repository Structure
18
 
19
+ ```
20
+ S-OH/
21
+ ├── README.md # This file
22
+ ├── LICENSE.txt # MIT License
23
+ ├── metadata.csv # Patient metadata (demographics, diagnosis, site, week)
24
+ ├── data/
25
+ │ ├── manifest.json # Index of all patient files
26
+ │ ├── Z00/ # Healthy controls
27
+ │ │ ├── patient_1.json
28
+ │ │ ├── patient_2.json
29
+ │ │ └── ...
30
+ │ ├── B18/ # Hepatitis B/C
31
+ │ │ ├── patient_10.json
32
+ │ │ └── ...
33
+ │ ├── K29/ # Gastritis and duodenitis
34
+ │ ├── K76/ # Non-alcoholic fatty liver disease
35
+ │ ├── E11/ # Diabetes mellitus type II
36
+ │ ├── N18/ # Chronic renal failure
37
+ │ ├── J44/ # COPD
38
+ │ ├── C34/ # Lung cancer
39
+ │ └── A15/ # Respiratory tuberculosis
40
+ └── scripts/
41
+ ├── quick_start.py # Load metadata and patient JSONs
42
+ ├── validate_metadata.py # Metadata check
43
+ ├── validate_temporal_splits.py # Temporal splits check
44
+ ├── baseline_lstm_lung_cancer.py # Example: ML/AI Use Case (LSTM baseline for C34)
45
+ ├── baseline_cnn_z00.py # Temporal splits check
46
+ └── baseline_resnet18_z00.py # Example: ML/AI Use Case (LSTM baseline for C34)
47
+ ```
48
 
49
+ ## Dataset Structure
50
 
51
+ ### `metadata.csv`
52
 
53
  CSV file containing patient metadata with the following columns:
54
 
 
56
  |--------|-------------|
57
  | `Patient_id` | Unique patient identifier |
58
  | `Patient_age` | Age in years |
59
+ | `Patient_gender` | Gender (0 = female, 1 = male) |
60
  | `Diagnosis` | ICD-10 diagnosis code |
61
+ | `D_class` | Disease class (0–7) |
62
  | `D_bin_class` | Binary class for one-vs-rest classification |
63
  | `Datetime` | Collection timestamp |
64
  | `Week` | Collection week (1–13) |
65
+ | `Site` | Clinical site (SiteA or CiteB) |
66
+
67
+ ### `data/` - Per-Patient JSON Files
68
 
69
+ Each patient is stored as a separate JSON file in a subdirectory named after their ICD-10 diagnosis code. The file name format is `patient_{Patient_id}.json`. Example path: `data/Z00/patient_1.json`.
70
 
71
+ Each patient JSON file has the following structure:
72
 
73
  ```json
74
  {
75
+ "patient_id": 1,
76
+ "patient_diag_class": 0,
77
+ "startDateTime": "2025-09-01T08:05:47.676148Z",
78
+ "startTimeGases": 20,
79
+ "endTimeGases": 450,
80
+ "durationSec": 895,
81
  "sensors": [
82
  {
83
  "id": "enose",
 
119
  }
120
  ```
121
 
122
+ ### `data/manifest.json`
123
+
124
+ Index file mapping patient IDs to their JSON file paths:
125
+
126
+ ```json
127
+ {
128
+ "total_patients": 1234,
129
+ "files": [
130
+ {"patient_id": 1, "diagnosis": "Z00", "file": "Z00/patient_1.json"},
131
+ {"patient_id": 2, "diagnosis": "Z00", "file": "Z00/patient_2.json"},
132
+ ...
133
+ ]
134
+ }
135
+ ```
136
+
137
+ ### `scripts/`
138
+
139
+ Utility scripts for loading and processing the dataset.
140
+
141
+ ## eNose Channels (17 channels)
142
 
143
  The eNose sensor array consists of 17 channels printed on a single chip:
144
 
 
146
  |-------------|-----------|
147
  | R1–R17 | ZnO and metal-doped ZnO (In-ZnO, Ag-ZnO, Ce-ZnO, Ni-ZnO) |
148
 
149
+ ## Auxiliary Sensors
 
150
 
151
  | Sensor ID | Measurements |
152
  |-------------|-----------|
 
155
  | ze08 | Carbon monoxide (CO) |
156
  | bme280 | Pressure, temperature, humidity |
157
 
158
+ ## Quick Start
159
+
160
+ ``` python
161
+ import json
162
+ import pandas as pd
163
+
164
+ # 1. Load metadata
165
+ metadata = pd.read_csv('../metadata.csv')
166
+
167
+ # 2. Load patient data via manifest
168
+ with open('../data/manifest.json', 'r') as f:
169
+ manifest = json.load(f)
170
+
171
+ # 3. Load a specific patient
172
+ patient_id, icd = '1', 'Z00'
173
+ entry = next(e for e in manifest['files'] if e['patient_id'] == patient_id)
174
+ with open(f"../data/{icd}/{entry['file']}", 'r') as f:
175
+ patient_data = json.load(f)
176
+
177
+ # 4. Extract eNose signals
178
+ for sensor in patient_data['sensors']:
179
+ if sensor['id'] == 'enose':
180
+ for channel in sensor['channels']:
181
+ print(f"{channel['id']}: {len(channel['samples'])} samples")
182
+ ```
183
+
184
+ ## Temporal Train/Test Splits
185
+
186
  The dataset includes explicit temporal splits to enable drift-aware evaluation. For each disease, test weeks were selected to be temporally separated from training weeks, simulating real-world deployment conditions.
187
 
188
+ ## Ethics
189
+
190
+ - The study protocol was approved by the Local Ethics Committee at Anonymized Clinical Institute (SiteA) and Anonymized Research Institute (SiteB).
191
 
192
  - All participants provided written informed consent.
193
 
194
+ ## Citation
 
 
195
 
196
+ If you use this dataset in your research, please cite:
197
+ ``` bibtex
198
+ @article{soh2026,
199
+ title = {Scent of Health (S-OH): Olfactory Multivariate Time Series Dataset for Non-Invasive Disease Screening},
200
+ author = {Anonymized and ...},
201
+ journal = {MICCAI Open Data},
202
+ year = {2026}
203
+ }
204
  ```
205
 
206
  ## License
207
 
208
+ This dataset is released under the **MIT License**. See `LICENSE.txt` for full terms. You are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the dataset, subject to the condition that the copyright notice and permission notice are included in all copies or substantial portions.
209
 
210
+ ## Contact
 
 
 
 
211
 
212
+ For questions or issues, please open an issue on this repository or contact the corresponding author (see paper for details).
 
S-OH_data_dict.json DELETED
@@ -1,3 +0,0 @@
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S-OH_metadata.csv DELETED
@@ -1,1235 +0,0 @@
1
- Patient_id,Patient_age,Patient_gender,Diagnosis,D_class,D_bin_class,Datetime,Week,Site
2
- 26,53,male,Z00,0,0,2025-06-18 11:36:54,1,MONIKI
3
- 28,45,female,Z00,0,0,2025-06-18 11:45:25,1,MONIKI
4
- 2,30,female,Z00,0,0,2025-06-18 12:15:36,1,MONIKI
5
- 4,26,female,Z00,0,0,2025-06-18 12:23:04,1,MONIKI
6
- 11,30,male,Z00,0,0,2025-06-18 12:27:49,1,MONIKI
7
- 10,61,female,Z00,0,0,2025-06-18 12:33:49,1,MONIKI
8
- 9,57,female,Z00,0,0,2025-06-18 12:49:00,1,MONIKI
9
- 27,51,female,Z00,0,0,2025-06-18 14:01:25,1,MONIKI
10
- 30,53,female,Z00,0,0,2025-06-18 14:02:31,1,MONIKI
11
- 29,57,male,Z00,0,0,2025-06-18 14:03:35,1,MONIKI
12
- 8,38,male,Z00,0,0,2025-06-19 11:06:06,1,MONIKI
13
- 1,22,male,Z00,0,0,2025-06-19 11:39:10,1,MONIKI
14
- 18,22,male,Z00,0,0,2025-06-19 11:44:48,1,MONIKI
15
- 16,38,male,Z00,0,0,2025-06-19 11:47:01,1,MONIKI
16
- 17,35,male,Z00,0,0,2025-06-19 12:03:33,1,MONIKI
17
- 12,63,male,Z00,0,0,2025-06-19 12:04:41,1,MONIKI
18
- 5,68,male,Z00,0,0,2025-06-19 12:06:23,1,MONIKI
19
- 7,31,female,Z00,0,0,2025-06-19 12:59:23,1,MONIKI
20
- 21,26,female,Z00,0,0,2025-06-19 13:29:59,1,MONIKI
21
- 19,26,female,Z00,0,0,2025-06-19 13:32:34,1,MONIKI
22
- 20,25,female,Z00,0,0,2025-06-19 13:34:23,1,MONIKI
23
- 23,25,female,Z00,0,0,2025-06-19 13:36:20,1,MONIKI
24
- 6,25,female,Z00,0,0,2025-06-19 13:38:10,1,MONIKI
25
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36
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37
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39
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313
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331
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332
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341
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359
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360
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361
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364
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392
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393
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395
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397
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398
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399
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400
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401
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402
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405
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406
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407
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408
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409
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410
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
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423
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424
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425
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426
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427
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428
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429
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430
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431
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432
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433
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434
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435
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436
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437
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438
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439
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440
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441
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442
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443
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444
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445
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446
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447
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448
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449
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450
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451
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452
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453
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454
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455
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456
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457
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458
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459
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460
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461
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462
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463
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464
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465
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466
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467
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468
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469
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470
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471
- 495,46,male,B18,4,1,2025-07-17 14:51:15,5,MONIKI
472
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473
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474
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475
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476
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477
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478
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479
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480
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481
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482
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483
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484
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485
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486
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487
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488
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489
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490
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491
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492
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493
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494
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495
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496
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497
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498
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499
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500
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501
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502
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503
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504
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505
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506
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507
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508
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509
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510
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511
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512
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513
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514
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515
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516
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517
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518
- 541,63,male,K29,2,1,2025-07-21 12:47:31,6,MONIKI
519
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520
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521
- 548,28,female,K29,2,1,2025-07-21 12:50:06,6,MONIKI
522
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523
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524
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525
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526
- 564,55,female,K29,2,1,2025-07-21 12:53:52,6,MONIKI
527
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528
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529
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530
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531
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532
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533
- 516,64,male,B18,4,1,2025-07-22 09:56:08,6,MONIKI
534
- 512,61,male,B18,4,1,2025-07-22 10:36:07,6,MONIKI
535
- 515,41,female,B18,4,1,2025-07-22 10:40:29,6,MONIKI
536
- 530,53,female,B18,4,1,2025-07-22 10:44:54,6,MONIKI
537
- 531,77,male,B18,4,1,2025-07-22 10:50:24,6,MONIKI
538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
- 606,41,female,K29,2,1,2025-07-22 12:09:13,6,MONIKI
552
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553
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554
- 574,42,male,B18,4,1,2025-07-22 14:03:06,6,MONIKI
555
- 575,38,female,B18,4,1,2025-07-22 14:06:55,6,MONIKI
556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
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616
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617
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
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629
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630
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631
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632
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633
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634
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635
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636
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637
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638
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639
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640
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641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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657
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658
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659
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660
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661
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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
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676
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677
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678
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679
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680
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681
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682
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683
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684
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685
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686
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687
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688
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689
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690
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691
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692
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693
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694
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695
- 726,54,male,E11,1,1,2025-08-05 15:50:16,8,MONIKI
696
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697
- 703,74,male,E11,1,1,2025-08-06 10:48:58,8,MONIKI
698
- 704,51,male,N18,6,1,2025-08-06 10:49:58,8,MONIKI
699
- 701,51,female,N18,6,1,2025-08-06 10:50:58,8,MONIKI
700
- 702,57,male,E11,1,1,2025-08-06 10:51:58,8,MONIKI
701
- 751,51,male,E11,1,1,2025-08-06 10:52:58,8,MONIKI
702
- 781,37,female,N18,6,1,2025-08-06 10:53:58,8,MONIKI
703
- 782,39,female,N18,6,1,2025-08-06 10:54:58,8,MONIKI
704
- 780,44,male,K76,3,1,2025-08-06 10:55:58,8,MONIKI
705
- 779,19,male,K76,3,1,2025-08-06 10:56:58,8,MONIKI
706
- 737,25,female,K76,3,1,2025-08-06 10:57:58,8,MONIKI
707
- 776,19,male,K76,3,1,2025-08-06 10:58:58,8,MONIKI
708
- 735,24,male,K76,3,1,2025-08-06 10:59:58,8,MONIKI
709
- 738,31,male,K76,3,1,2025-08-06 11:00:58,8,MONIKI
710
- 727,37,male,K76,3,1,2025-08-06 11:01:58,8,MONIKI
711
- 725,20,male,K76,3,1,2025-08-06 11:02:58,8,MONIKI
712
- 728,38,female,K76,3,1,2025-08-06 11:03:58,8,MONIKI
713
- 778,18,female,K76,3,1,2025-08-06 11:04:58,8,MONIKI
714
- 739,67,female,K76,3,1,2025-08-06 11:05:58,8,MONIKI
715
- 730,53,male,K76,3,1,2025-08-06 11:06:58,8,MONIKI
716
- 729,46,female,K76,3,1,2025-08-06 11:07:58,8,MONIKI
717
- 736,46,female,J44,7,1,2025-08-06 11:08:58,8,MONIKI
718
- 743,72,female,E11,1,1,2025-08-06 15:28:22,8,MONIKI
719
- 748,66,male,J44,7,1,2025-08-06 15:31:01,8,MONIKI
720
- 752,75,female,E11,1,1,2025-08-06 15:34:20,8,MONIKI
721
- 747,69,male,J44,7,1,2025-08-06 16:18:23,8,MONIKI
722
- 750,79,female,N18,6,1,2025-08-06 16:19:40,8,MONIKI
723
- 749,78,female,N18,6,1,2025-08-06 16:20:51,8,MONIKI
724
- 746,79,female,N18,6,1,2025-08-06 16:22:31,8,MONIKI
725
- 765,74,male,N18,6,1,2025-08-06 16:30:27,8,MONIKI
726
- 764,51,male,E11,1,1,2025-08-06 16:32:20,8,MONIKI
727
- 766,46,male,J44,7,1,2025-08-06 16:33:52,8,MONIKI
728
- 745,63,female,K76,3,1,2025-08-07 09:01:15,8,MONIKI
729
- 668,77,female,N18,6,1,2025-08-07 10:00:05,8,MONIKI
730
- 771,62,male,N18,6,1,2025-08-07 10:27:14,8,MONIKI
731
- 699,40,male,N18,6,1,2025-08-07 10:28:29,8,MONIKI
732
- 675,60,male,J44,7,1,2025-08-07 10:49:46,8,MONIKI
733
- 700,42,male,N18,6,1,2025-08-07 11:21:11,8,MONIKI
734
- 673,68,female,J44,7,1,2025-08-07 11:21:38,8,MONIKI
735
- 753,62,male,K76,3,1,2025-08-07 12:10:36,8,MONIKI
736
- 740,55,female,K76,3,1,2025-08-07 12:11:34,8,MONIKI
737
- 760,55,female,K76,3,1,2025-08-07 12:12:37,8,MONIKI
738
- 742,33,female,K76,3,1,2025-08-07 12:14:00,8,MONIKI
739
- 754,51,male,N18,6,1,2025-08-07 13:26:25,8,MONIKI
740
- 770,63,female,K76,3,1,2025-08-07 14:04:59,8,MONIKI
741
- 761,23,male,K76,3,1,2025-08-07 14:05:41,8,MONIKI
742
- 769,19,female,K76,3,1,2025-08-07 14:06:31,8,MONIKI
743
- 768,21,male,K76,3,1,2025-08-07 14:07:23,8,MONIKI
744
- 698,20,female,K76,3,1,2025-08-07 14:08:12,8,MONIKI
745
- 762,48,female,K76,3,1,2025-08-07 14:09:13,8,MONIKI
746
- 767,22,male,K76,3,1,2025-08-07 14:10:25,8,MONIKI
747
- 763,46,female,K76,3,1,2025-08-07 14:11:19,8,MONIKI
748
- 809,65,female,J44,7,1,2025-08-07 14:50:47,8,MONIKI
749
- 733,65,male,N18,6,1,2025-08-07 14:56:51,8,MONIKI
750
- 734,65,male,J44,7,1,2025-08-07 14:57:36,8,MONIKI
751
- 808,53,female,K76,3,1,2025-08-08 09:20:37,8,MONIKI
752
- 807,43,female,K76,3,1,2025-08-08 09:37:24,8,MONIKI
753
- 722,69,male,J44,7,1,2025-08-08 10:09:53,8,MONIKI
754
- 755,74,female,K76,3,1,2025-08-08 10:33:56,8,MONIKI
755
- 806,37,female,K76,3,1,2025-08-08 10:44:15,8,MONIKI
756
- 666,56,male,N18,6,1,2025-08-08 11:28:18,8,MONIKI
757
- 689,65,male,N18,6,1,2025-08-08 11:29:48,8,MONIKI
758
- 804,75,male,J44,7,1,2025-08-08 12:45:17,8,MONIKI
759
- 803,43,female,N18,6,1,2025-08-08 14:13:58,8,MONIKI
760
- 799,59,female,K76,3,1,2025-08-08 15:42:05,8,MONIKI
761
- 793,71,male,K76,3,1,2025-08-08 15:43:06,8,MONIKI
762
- 783,37,male,K76,3,1,2025-08-08 15:44:56,8,MONIKI
763
- 790,22,male,K76,3,1,2025-08-08 15:52:17,8,MONIKI
764
- 798,56,female,K76,3,1,2025-08-08 15:52:55,8,MONIKI
765
- 791,37,male,K76,3,1,2025-08-08 15:53:32,8,MONIKI
766
- 792,62,male,K76,3,1,2025-08-08 15:54:24,8,MONIKI
767
- 795,70,male,J44,7,1,2025-08-08 15:55:03,8,MONIKI
768
- 789,72,male,J44,7,1,2025-08-08 15:55:54,8,MONIKI
769
- 800,38,male,K76,3,1,2025-08-11 10:54:58,9,MONIKI
770
- 785,81,male,N18,6,1,2025-08-11 12:11:51,9,MONIKI
771
- 718,71,male,N18,6,1,2025-08-11 12:12:49,9,MONIKI
772
- 777,39,female,K76,3,1,2025-08-11 15:30:00,9,MONIKI
773
- 797,22,female,K76,3,1,2025-08-11 15:30:37,9,MONIKI
774
- 788,29,female,K76,3,1,2025-08-11 15:31:15,9,MONIKI
775
- 821,71,female,J44,7,1,2025-08-11 15:31:57,9,MONIKI
776
- 820,26,female,N18,6,1,2025-08-11 15:32:45,9,MONIKI
777
- 784,46,female,J44,7,1,2025-08-11 15:33:28,9,MONIKI
778
- 787,75,female,N18,6,1,2025-08-11 15:34:07,9,MONIKI
779
- 796,66,female,J44,7,1,2025-08-11 15:36:57,9,MONIKI
780
- 786,68,female,N18,6,1,2025-08-11 15:37:49,9,MONIKI
781
- 794,66,female,N18,6,1,2025-08-11 15:39:59,9,MONIKI
782
- 731,39,female,K76,3,1,2025-08-11 15:40:41,9,MONIKI
783
- 810,80,male,J44,7,1,2025-08-11 16:20:02,9,MONIKI
784
- 811,63,female,N18,6,1,2025-08-11 16:21:21,9,MONIKI
785
- 812,62,male,N18,6,1,2025-08-11 16:22:47,9,MONIKI
786
- 802,53,male,J44,7,1,2025-08-11 16:24:03,9,MONIKI
787
- 756,52,female,J44,7,1,2025-08-11 16:26:04,9,MONIKI
788
- 805,69,female,K76,3,1,2025-08-12 11:32:18,9,MONIKI
789
- 836,35,female,K76,3,1,2025-08-12 13:11:41,9,MONIKI
790
- 835,62,male,N18,6,1,2025-08-12 13:12:31,9,MONIKI
791
- 824,73,male,N18,6,1,2025-08-12 13:13:45,9,MONIKI
792
- 759,67,male,J44,7,1,2025-08-12 13:14:52,9,MONIKI
793
- 758,69,female,J44,7,1,2025-08-12 13:16:33,9,MONIKI
794
- 665,65,male,J44,7,1,2025-08-12 14:11:32,9,MONIKI
795
- 672,62,female,J44,7,1,2025-08-12 14:12:11,9,MONIKI
796
- 819,20,female,K76,3,1,2025-08-12 14:22:35,9,MONIKI
797
- 858,37,female,K76,3,1,2025-08-12 14:23:22,9,MONIKI
798
- 845,61,male,N18,6,1,2025-08-12 14:24:06,9,MONIKI
799
- 830,68,female,J44,7,1,2025-08-12 14:25:21,9,MONIKI
800
- 844,70,female,N18,6,1,2025-08-12 14:26:03,9,MONIKI
801
- 814,39,male,K76,3,1,2025-08-12 14:26:44,9,MONIKI
802
- 846,41,female,K76,3,1,2025-08-12 14:27:26,9,MONIKI
803
- 822,40,female,K76,3,1,2025-08-12 14:29:02,9,MONIKI
804
- 815,49,male,K76,3,1,2025-08-12 14:29:51,9,MONIKI
805
- 861,62,female,J44,7,1,2025-08-12 14:31:44,9,MONIKI
806
- 843,53,female,J44,7,1,2025-08-12 14:34:16,9,MONIKI
807
- 860,72,female,N18,6,1,2025-08-12 14:35:13,9,MONIKI
808
- 839,51,female,J44,7,1,2025-08-12 14:36:51,9,MONIKI
809
- 757,69,male,J44,7,1,2025-08-12 14:51:35,9,MONIKI
810
- 833,52,male,N18,6,1,2025-08-12 14:52:46,9,MONIKI
811
- 832,86,female,N18,6,1,2025-08-12 14:54:03,9,MONIKI
812
- 831,75,female,N18,6,1,2025-08-12 14:55:04,9,MONIKI
813
- 823,80,male,J44,7,1,2025-08-12 14:56:27,9,MONIKI
814
- 856,57,female,K76,3,1,2025-08-13 10:55:43,9,MONIKI
815
- 626,56,male,J44,7,1,2025-08-13 11:14:09,9,MONIKI
816
- 881,88,female,J44,7,1,2025-08-13 13:10:42,9,MONIKI
817
- 828,33,male,K76,3,1,2025-08-13 14:14:02,9,MONIKI
818
- 834,68,male,J44,7,1,2025-08-13 14:15:15,9,MONIKI
819
- 829,74,female,N18,6,1,2025-08-13 14:16:22,9,MONIKI
820
- 853,63,female,J44,7,1,2025-08-13 14:53:13,9,MONIKI
821
- 837,79,female,J44,7,1,2025-08-13 15:10:57,9,MONIKI
822
- 859,69,female,J44,7,1,2025-08-13 15:12:05,9,MONIKI
823
- 863,65,male,J44,7,1,2025-08-13 15:19:05,9,MONIKI
824
- 838,61,male,C34,5,1,2025-08-13 15:20:10,9,MONIKI
825
- 865,62,male,N18,6,1,2025-08-13 16:03:20,9,MONIKI
826
- 864,46,female,N18,6,1,2025-08-13 16:04:17,9,MONIKI
827
- 840,67,female,N18,6,1,2025-08-13 16:05:00,9,MONIKI
828
- 849,18,female,K76,3,1,2025-08-13 16:05:51,9,MONIKI
829
- 871,66,male,J44,7,1,2025-08-13 16:06:38,9,MONIKI
830
- 813,52,female,J44,7,1,2025-08-13 16:08:17,9,MONIKI
831
- 857,70,female,N18,6,1,2025-08-13 16:10:16,9,MONIKI
832
- 847,45,male,J44,7,1,2025-08-13 16:11:51,9,MONIKI
833
- 854,62,female,K76,3,1,2025-08-13 16:12:42,9,MONIKI
834
- 852,19,female,K76,3,1,2025-08-13 16:13:30,9,MONIKI
835
- 841,36,female,K76,3,1,2025-08-13 16:14:11,9,MONIKI
836
- 855,21,female,K76,3,1,2025-08-13 16:15:05,9,MONIKI
837
- 842,23,female,K76,3,1,2025-08-13 16:16:44,9,MONIKI
838
- 872,73,female,N18,6,1,2025-08-13 16:22:18,9,MONIKI
839
- 851,50,male,J44,7,1,2025-08-14 09:40:33,9,MONIKI
840
- 850,58,male,K76,3,1,2025-08-14 09:53:56,9,MONIKI
841
- 827,44,female,K76,3,1,2025-08-14 10:17:09,9,MONIKI
842
- 825,52,male,J44,7,1,2025-08-14 10:58:41,9,MONIKI
843
- 848,71,female,K76,3,1,2025-08-14 11:21:27,9,MONIKI
844
- 910,60,male,J44,7,1,2025-08-14 11:50:41,9,MONIKI
845
- 918,77,male,C34,5,1,2025-08-14 13:01:40,9,MONIKI
846
- 882,56,female,J44,7,1,2025-08-14 13:06:55,9,MONIKI
847
- 826,80,male,C34,5,1,2025-08-14 13:25:08,9,MONIKI
848
- 885,63,female,J44,7,1,2025-08-14 13:41:54,9,MONIKI
849
- 892,71,female,J44,7,1,2025-08-14 13:43:23,9,MONIKI
850
- 886,61,male,J44,7,1,2025-08-14 13:45:10,9,MONIKI
851
- 890,51,female,J44,7,1,2025-08-14 13:46:57,9,MONIKI
852
- 884,83,male,J44,7,1,2025-08-14 13:48:07,9,MONIKI
853
- 903,64,male,J44,7,1,2025-08-14 13:49:14,9,MONIKI
854
- 902,63,male,J44,7,1,2025-08-14 13:50:50,9,MONIKI
855
- 883,77,male,J44,7,1,2025-08-14 13:52:06,9,MONIKI
856
- 862,69,male,J44,7,1,2025-08-14 13:53:15,9,MONIKI
857
- 889,79,female,J44,7,1,2025-08-14 13:54:18,9,MONIKI
858
- 887,65,female,J44,7,1,2025-08-14 13:55:08,9,MONIKI
859
- 888,62,female,J44,7,1,2025-08-14 13:56:06,9,MONIKI
860
- 891,65,male,J44,7,1,2025-08-14 13:56:52,9,MONIKI
861
- 895,50,female,J44,7,1,2025-08-14 13:58:27,9,MONIKI
862
- 894,50,male,J44,7,1,2025-08-14 13:59:38,9,MONIKI
863
- 869,79,male,K76,3,1,2025-08-14 14:17:04,9,MONIKI
864
- 905,43,male,K76,3,1,2025-08-14 14:19:13,9,MONIKI
865
- 898,84,female,K76,3,1,2025-08-14 14:20:03,9,MONIKI
866
- 906,50,male,K76,3,1,2025-08-14 14:21:49,9,MONIKI
867
- 899,62,female,K76,3,1,2025-08-14 14:22:49,9,MONIKI
868
- 901,61,female,K76,3,1,2025-08-14 14:24:10,9,MONIKI
869
- 900,72,female,J44,7,1,2025-08-14 14:25:11,9,MONIKI
870
- 904,41,male,J44,7,1,2025-08-14 14:26:09,9,MONIKI
871
- 945,74,female,C34,5,1,2025-08-15 11:01:42,9,MONIKI
872
- 908,78,male,J44,7,1,2025-08-15 11:11:24,9,MONIKI
873
- 917,64,female,J44,7,1,2025-08-15 11:37:11,9,MONIKI
874
- 946,71,female,C34,5,1,2025-08-15 11:49:14,9,MONIKI
875
- 930,65,male,J44,7,1,2025-08-15 12:07:26,9,MONIKI
876
- 935,78,female,J44,7,1,2025-08-15 12:08:32,9,MONIKI
877
- 934,88,female,J44,7,1,2025-08-15 12:09:52,9,MONIKI
878
- 937,67,male,J44,7,1,2025-08-15 12:10:48,9,MONIKI
879
- 936,65,male,J44,7,1,2025-08-15 12:14:01,9,MONIKI
880
- 915,74,male,J44,7,1,2025-08-15 13:31:06,9,MONIKI
881
- 916,68,male,J44,7,1,2025-08-15 13:32:12,9,MONIKI
882
- 969,77,male,J44,7,1,2025-08-15 14:10:19,9,MONIKI
883
- 893,73,female,J44,7,1,2025-08-15 14:57:03,9,MONIKI
884
- 939,77,male,J44,7,1,2025-08-15 14:57:55,9,MONIKI
885
- 967,36,female,K76,3,1,2025-08-15 15:16:35,9,MONIKI
886
- 966,76,female,K76,3,1,2025-08-15 15:18:59,9,MONIKI
887
- 961,69,female,K76,3,1,2025-08-15 15:20:24,9,MONIKI
888
- 896,74,male,J44,7,1,2025-08-15 15:22:10,9,MONIKI
889
- 965,64,female,K76,3,1,2025-08-15 15:23:51,9,MONIKI
890
- 962,37,male,K76,3,1,2025-08-15 15:24:26,9,MONIKI
891
- 968,20,female,K76,3,1,2025-08-15 15:25:08,9,MONIKI
892
- 963,60,female,K76,3,1,2025-08-15 15:25:49,9,MONIKI
893
- 878,56,female,B18,4,1,2025-08-18 11:54:33,10,MONIKI
894
- 877,70,male,J44,7,1,2025-08-18 13:18:13,10,MONIKI
895
- 948,84,female,K29,2,1,2025-08-18 14:17:30,10,MONIKI
896
- 897,49,female,K29,2,1,2025-08-18 14:18:16,10,MONIKI
897
- 870,76,female,K29,2,1,2025-08-18 14:19:19,10,MONIKI
898
- 866,78,female,K29,2,1,2025-08-18 14:22:59,10,MONIKI
899
- 868,57,female,K29,2,1,2025-08-18 14:24:05,10,MONIKI
900
- 909,49,male,B18,4,1,2025-08-18 14:25:04,10,MONIKI
901
- 952,29,female,Z00,0,0,2025-08-18 15:25:33,10,MONIKI
902
- 867,26,male,Z00,0,0,2025-08-18 15:26:56,10,MONIKI
903
- 913,29,male,Z00,0,0,2025-08-18 15:27:46,10,MONIKI
904
- 914,30,male,Z00,0,0,2025-08-18 15:28:34,10,MONIKI
905
- 912,27,male,Z00,0,0,2025-08-18 15:29:09,10,MONIKI
906
- 954,57,male,C34,5,1,2025-08-18 15:31:18,10,MONIKI
907
- 911,29,male,Z00,0,0,2025-08-18 15:38:13,10,MONIKI
908
- 876,74,male,J44,7,1,2025-08-18 16:03:39,10,MONIKI
909
- 875,62,male,J44,7,1,2025-08-18 16:04:16,10,MONIKI
910
- 874,65,male,J44,7,1,2025-08-18 16:04:53,10,MONIKI
911
- 879,77,female,B18,4,1,2025-08-19 10:30:29,10,MONIKI
912
- 971,54,male,B18,4,1,2025-08-19 10:31:30,10,MONIKI
913
- 956,74,male,B18,4,1,2025-08-19 10:32:16,10,MONIKI
914
- 970,42,male,B18,4,1,2025-08-19 10:40:39,10,MONIKI
915
- 960,52,female,B18,4,1,2025-08-19 10:41:27,10,MONIKI
916
- 977,25,female,Z00,0,0,2025-08-19 10:51:46,10,MONIKI
917
- 972,24,female,Z00,0,0,2025-08-19 10:55:34,10,MONIKI
918
- 973,25,male,Z00,0,0,2025-08-19 11:00:45,10,MONIKI
919
- 976,25,female,Z00,0,0,2025-08-19 11:02:30,10,MONIKI
920
- 980,26,female,Z00,0,0,2025-08-19 11:05:28,10,MONIKI
921
- 979,24,female,Z00,0,0,2025-08-19 11:09:51,10,MONIKI
922
- 981,24,female,Z00,0,0,2025-08-19 11:13:27,10,MONIKI
923
- 975,23,female,Z00,0,0,2025-08-19 11:22:16,10,MONIKI
924
- 974,27,female,Z00,0,0,2025-08-19 11:25:06,10,MONIKI
925
- 978,25,female,Z00,0,0,2025-08-19 11:28:30,10,MONIKI
926
- 873,62,female,B18,4,1,2025-08-19 11:28:31,10,MONIKI
927
- 964,67,male,B18,4,1,2025-08-19 11:37:53,10,MONIKI
928
- 1031,52,male,C34,5,1,2025-08-19 11:47:19,10,MONIKI
929
- 924,73,male,C34,5,1,2025-08-19 14:08:00,10,MONIKI
930
- 923,56,female,C34,5,1,2025-08-19 14:08:57,10,MONIKI
931
- 919,70,male,C34,5,1,2025-08-19 14:10:04,10,MONIKI
932
- 940,67,male,C34,5,1,2025-08-19 14:10:49,10,MONIKI
933
- 920,78,male,C34,5,1,2025-08-19 14:12:22,10,MONIKI
934
- 921,65,male,J44,7,1,2025-08-19 14:13:18,10,MONIKI
935
- 1017,74,female,K29,2,1,2025-08-19 15:48:34,10,MONIKI
936
- 984,78,male,C34,5,1,2025-08-19 16:02:38,10,MONIKI
937
- 880,51,male,B18,4,1,2025-08-20 10:39:42,10,MONIKI
938
- 986,63,male,K29,2,1,2025-08-20 10:59:30,10,MONIKI
939
- 1013,67,female,K29,2,1,2025-08-20 11:00:30,10,MONIKI
940
- 983,73,female,K29,2,1,2025-08-20 11:01:31,10,MONIKI
941
- 982,67,female,K29,2,1,2025-08-20 11:03:00,10,MONIKI
942
- 943,27,male,Z00,0,0,2025-08-20 12:23:32,10,MONIKI
943
- 1030,51,male,C34,5,1,2025-08-20 12:24:12,10,MONIKI
944
- 957,27,female,Z00,0,0,2025-08-20 12:24:27,10,MONIKI
945
- 951,27,male,Z00,0,0,2025-08-20 12:25:28,10,MONIKI
946
- 958,28,female,Z00,0,0,2025-08-20 12:30:56,10,MONIKI
947
- 959,25,male,Z00,0,0,2025-08-20 12:31:56,10,MONIKI
948
- 944,25,female,Z00,0,0,2025-08-20 12:32:49,10,MONIKI
949
- 941,23,male,Z00,0,0,2025-08-20 12:57:57,10,MONIKI
950
- 942,18,female,Z00,0,0,2025-08-20 12:58:41,10,MONIKI
951
- 950,29,male,Z00,0,0,2025-08-20 13:20:23,10,MONIKI
952
- 1008,21,male,Z00,0,0,2025-08-20 13:21:29,10,MONIKI
953
- 1014,28,female,Z00,0,0,2025-08-20 14:04:52,10,MONIKI
954
- 1011,23,female,Z00,0,0,2025-08-20 14:05:53,10,MONIKI
955
- 1012,26,female,Z00,0,0,2025-08-20 14:07:01,10,MONIKI
956
- 1016,28,male,Z00,0,0,2025-08-20 14:07:46,10,MONIKI
957
- 1015,28,female,Z00,0,0,2025-08-20 14:09:01,10,MONIKI
958
- 1028,49,male,C34,5,1,2025-08-21 09:03:43,10,MONIKI
959
- 1024,66,female,C34,5,1,2025-08-21 09:04:27,10,MONIKI
960
- 1026,71,female,C34,5,1,2025-08-21 09:05:40,10,MONIKI
961
- 818,63,female,C34,5,1,2025-08-21 09:06:26,10,MONIKI
962
- 1019,69,female,C34,5,1,2025-08-21 09:27:34,10,MONIKI
963
- 1020,70,male,C34,5,1,2025-08-21 09:32:27,10,MONIKI
964
- 1021,63,male,C34,5,1,2025-08-21 09:45:30,10,MONIKI
965
- 772,74,male,C34,5,1,2025-08-21 09:46:03,10,MONIKI
966
- 1003,60,female,C34,5,1,2025-08-21 10:07:45,10,MONIKI
967
- 1009,67,female,C34,5,1,2025-08-21 11:58:05,10,MONIKI
968
- 1007,60,male,C34,5,1,2025-08-21 11:59:10,10,MONIKI
969
- 927,78,male,C34,5,1,2025-08-21 12:52:26,10,MONIKI
970
- 922,79,male,C34,5,1,2025-08-21 12:53:31,10,MONIKI
971
- 1018,60,female,C34,5,1,2025-08-21 13:01:32,10,MONIKI
972
- 907,84,female,C34,5,1,2025-08-21 13:33:21,10,MONIKI
973
- 925,68,male,C34,5,1,2025-08-21 13:34:38,10,MONIKI
974
- 1036,73,female,C34,5,1,2025-08-22 09:27:42,10,MONIKI
975
- 1042,54,male,C34,5,1,2025-08-22 09:28:39,10,MONIKI
976
- 1027,68,male,C34,5,1,2025-08-22 09:29:17,10,MONIKI
977
- 1025,78,male,C34,5,1,2025-08-22 09:29:47,10,MONIKI
978
- 1051,45,male,C34,5,1,2025-08-22 09:48:33,10,MONIKI
979
- 1023,29,female,Z00,0,0,2025-08-22 15:37:57,10,MONIKI
980
- 1022,26,female,Z00,0,0,2025-08-22 15:38:53,10,MONIKI
981
- 1033,20,female,Z00,0,0,2025-08-22 15:39:40,10,MONIKI
982
- 1032,64,female,C34,5,1,2025-08-25 12:10:31,11,MONIKI
983
- 1001,55,male,C34,5,1,2025-08-25 14:18:35,11,MONIKI
984
- 955,66,female,C34,5,1,2025-08-26 10:52:48,11,MONIKI
985
- 817,63,male,C34,5,1,2025-08-26 13:17:26,11,MONIKI
986
- 931,69,male,C34,5,1,2025-08-26 13:47:35,11,MONIKI
987
- 932,77,male,C34,5,1,2025-08-26 13:58:57,11,MONIKI
988
- 929,72,male,C34,5,1,2025-08-26 14:09:20,11,MONIKI
989
- 1034,70,male,C34,5,1,2025-08-26 16:33:48,11,MONIKI
990
- 1044,64,female,C34,5,1,2025-08-27 08:32:57,11,MONIKI
991
- 1052,66,female,C34,5,1,2025-08-27 08:34:07,11,MONIKI
992
- 1037,57,male,C34,5,1,2025-08-27 08:35:09,11,MONIKI
993
- 1049,75,male,C34,5,1,2025-08-27 08:35:44,11,MONIKI
994
- 1050,61,male,C34,5,1,2025-08-27 08:36:25,11,MONIKI
995
- 1038,68,male,C34,5,1,2025-08-27 09:50:00,11,MONIKI
996
- 1041,68,male,C34,5,1,2025-08-27 09:50:36,11,MONIKI
997
- 1035,40,female,C34,5,1,2025-08-27 09:51:17,11,MONIKI
998
- 1043,67,female,C34,5,1,2025-08-27 09:51:47,11,MONIKI
999
- 1045,60,male,C34,5,1,2025-08-27 09:52:18,11,MONIKI
1000
- 1048,73,male,C34,5,1,2025-08-27 09:52:51,11,MONIKI
1001
- 1046,82,female,C34,5,1,2025-08-27 09:53:31,11,MONIKI
1002
- 947,61,female,C34,5,1,2025-08-27 12:14:07,11,MONIKI
1003
- 1029,63,male,C34,5,1,2025-08-27 12:15:14,11,MONIKI
1004
- 928,73,male,C34,5,1,2025-08-27 12:34:04,11,MONIKI
1005
- 926,71,male,C34,5,1,2025-08-27 12:35:49,11,MONIKI
1006
- 996,77,male,C34,5,1,2025-08-27 12:40:08,11,MONIKI
1007
- 688,69,male,C34,5,1,2025-08-27 13:18:01,11,MONIKI
1008
- 999,66,male,C34,5,1,2025-08-27 13:37:48,11,MONIKI
1009
- 1002,62,male,C34,5,1,2025-08-27 13:39:18,11,MONIKI
1010
- 949,65,female,C34,5,1,2025-08-27 13:40:41,11,MONIKI
1011
- 997,54,male,C34,5,1,2025-08-27 13:41:40,11,MONIKI
1012
- 989,69,male,C34,5,1,2025-08-27 14:12:05,11,MONIKI
1013
- 707,78,male,C34,5,1,2025-08-27 14:41:31,11,MONIKI
1014
- 990,62,male,C34,5,1,2025-08-28 09:58:34,11,MONIKI
1015
- 775,75,male,C34,5,1,2025-08-28 11:26:50,11,MONIKI
1016
- 1039,65,male,C34,5,1,2025-08-28 12:14:18,11,MONIKI
1017
- 998,70,male,C34,5,1,2025-08-28 12:15:07,11,MONIKI
1018
- 632,52,female,C34,5,1,2025-08-28 12:16:08,11,MONIKI
1019
- 1047,73,male,C34,5,1,2025-08-28 12:16:52,11,MONIKI
1020
- 1006,70,female,C34,5,1,2025-08-28 12:17:45,11,MONIKI
1021
- 816,63,male,C34,5,1,2025-08-28 12:20:25,11,MONIKI
1022
- 708,66,male,C34,5,1,2025-08-28 12:21:33,11,MONIKI
1023
- 715,67,male,C34,5,1,2025-08-28 12:29:13,11,MONIKI
1024
- 773,75,female,C34,5,1,2025-08-28 12:58:24,11,MONIKI
1025
- 988,55,female,C34,5,1,2025-08-28 13:25:06,11,MONIKI
1026
- 994,66,male,C34,5,1,2025-08-28 13:39:11,11,MONIKI
1027
- 993,66,male,C34,5,1,2025-08-28 13:40:31,11,MONIKI
1028
- 992,57,male,C34,5,1,2025-08-28 13:43:37,11,MONIKI
1029
- 2001,53,female,Z00,0,0,2025-09-01 09:29:30,12,CRIT
1030
- 2003,39,female,Z00,0,0,2025-09-01 09:07:40,12,CRIT
1031
- 2005,39,female,Z00,0,0,2025-09-01 09:51:39,12,CRIT
1032
- 2007,53,female,Z00,0,0,2025-09-01 09:52:18,12,CRIT
1033
- 2009,25,male,Z00,0,0,2025-09-01 11:37:59,12,CRIT
1034
- 2011,25,female,Z00,0,0,2025-09-01 10:57:22,12,CRIT
1035
- 2013,23,female,Z00,0,0,2025-09-01 11:31:13,12,CRIT
1036
- 2015,59,female,Z00,0,0,2025-09-01 12:20:32,12,CRIT
1037
- 2017,59,female,Z00,0,0,2025-09-01 12:55:59,12,CRIT
1038
- 2019,48,female,Z00,0,0,2025-09-01 13:41:16,12,CRIT
1039
- 2021,40,female,Z00,0,0,2025-09-01 14:14:15,12,CRIT
1040
- 2023,26,female,Z00,0,0,2025-09-01 13:23:40,12,CRIT
1041
- 2025,26,male,Z00,0,0,2025-09-01 13:46:28,12,CRIT
1042
- 2027,31,female,Z00,0,0,2025-09-01 15:37:08,12,CRIT
1043
- 2029,24,female,Z00,0,0,2025-09-01 16:12:47,12,CRIT
1044
- 2031,26,female,Z00,0,0,2025-09-01 15:15:02,12,CRIT
1045
- 2033,26,male,Z00,0,0,2025-09-01 16:48:54,12,CRIT
1046
- 2035,52,female,Z00,0,0,2025-09-01 17:40:10,12,CRIT
1047
- 2002,39,male,A15,8,1,2025-09-01 16:45:57,12,CRIT
1048
- 2037,50,female,Z00,0,0,2025-09-01 18:20:45,12,CRIT
1049
- 2004,23,female,A15,8,1,2025-09-01 18:01:25,12,CRIT
1050
- 2006,59,female,A15,8,1,2025-09-01 18:06:08,12,CRIT
1051
- 2008,33,male,A15,8,1,2025-09-02 08:48:34,12,CRIT
1052
- 2010,31,male,A15,8,1,2025-09-02 09:15:19,12,CRIT
1053
- 2012,55,female,A15,8,1,2025-09-02 10:11:33,12,CRIT
1054
- 2014,41,female,A15,8,1,2025-09-02 09:59:36,12,CRIT
1055
- 2039,31,female,Z00,0,0,2025-09-02 11:29:21,12,CRIT
1056
- 2041,41,male,Z00,0,0,2025-09-02 10:29:38,12,CRIT
1057
- 2043,24,female,Z00,0,0,2025-09-02 11:14:23,12,CRIT
1058
- 2045,71,female,Z00,0,0,2025-09-02 11:50:03,12,CRIT
1059
- 2047,63,female,Z00,0,0,2025-09-02 12:56:39,12,CRIT
1060
- 2016,38,male,A15,8,1,2025-09-02 12:28:48,12,CRIT
1061
- 2018,53,male,A15,8,1,2025-09-02 13:08:59,12,CRIT
1062
- 2020,32,female,A15,8,1,2025-09-02 13:48:07,12,CRIT
1063
- 2049,29,male,Z00,0,0,2025-09-02 13:39:47,12,CRIT
1064
- 2022,51,female,A15,8,1,2025-09-02 15:25:42,12,CRIT
1065
- 2024,36,male,A15,8,1,2025-09-02 15:44:39,12,CRIT
1066
- 2026,23,female,A15,8,1,2025-09-02 15:29:50,12,CRIT
1067
- 2028,53,female,A15,8,1,2025-09-02 16:19:38,12,CRIT
1068
- 2030,27,male,A15,8,1,2025-09-02 16:55:31,12,CRIT
1069
- 2032,25,male,A15,8,1,2025-09-02 16:45:49,12,CRIT
1070
- 2034,19,female,A15,8,1,2025-09-02 16:37:38,12,CRIT
1071
- 2036,22,female,A15,8,1,2025-09-02 17:05:12,12,CRIT
1072
- 2038,42,female,A15,8,1,2025-09-02 18:53:08,12,CRIT
1073
- 2040,61,male,A15,8,1,2025-09-02 18:51:26,12,CRIT
1074
- 2042,37,male,A15,8,1,2025-09-03 10:01:19,12,CRIT
1075
- 2044,63,male,A15,8,1,2025-09-03 10:02:17,12,CRIT
1076
- 2046,27,male,A15,8,1,2025-09-03 10:03:47,12,CRIT
1077
- 2048,19,male,A15,8,1,2025-09-03 10:44:55,12,CRIT
1078
- 2050,39,male,A15,8,1,2025-09-03 10:34:19,12,CRIT
1079
- 2052,34,male,A15,8,1,2025-09-03 12:02:17,12,CRIT
1080
- 2054,46,male,A15,8,1,2025-09-03 11:48:30,12,CRIT
1081
- 2051,48,female,Z00,0,0,2025-09-03 11:44:12,12,CRIT
1082
- 2056,35,male,A15,8,1,2025-09-03 12:43:42,12,CRIT
1083
- 2058,47,male,A15,8,1,2025-09-03 13:14:23,12,CRIT
1084
- 2053,61,male,Z00,0,0,2025-09-03 12:38:24,12,CRIT
1085
- 2060,40,male,A15,8,1,2025-09-03 13:57:28,12,CRIT
1086
- 2062,37,male,A15,8,1,2025-09-03 14:20:58,12,CRIT
1087
- 2055,44,female,Z00,0,0,2025-09-03 15:13:31,12,CRIT
1088
- 2064,64,male,A15,8,1,2025-09-03 15:09:39,12,CRIT
1089
- 2066,37,female,A15,8,1,2025-09-03 14:45:03,12,CRIT
1090
- 2068,62,female,A15,8,1,2025-09-03 16:00:09,12,CRIT
1091
- 2070,44,female,A15,8,1,2025-09-03 15:19:01,12,CRIT
1092
- 2072,34,male,A15,8,1,2025-09-03 16:37:52,12,CRIT
1093
- 2074,36,female,A15,8,1,2025-09-03 17:40:12,12,CRIT
1094
- 2076,19,female,A15,8,1,2025-09-03 17:51:57,12,CRIT
1095
- 2078,27,female,A15,8,1,2025-09-03 18:24:26,12,CRIT
1096
- 2057,25,female,Z00,0,0,2025-09-03 19:07:04,12,CRIT
1097
- 2080,55,female,A15,8,1,2025-09-03 18:34:40,12,CRIT
1098
- 2059,57,female,Z00,0,0,2025-09-04 09:20:02,12,CRIT
1099
- 2082,43,female,A15,8,1,2025-09-04 10:03:51,12,CRIT
1100
- 2061,36,female,Z00,0,0,2025-09-04 10:47:25,12,CRIT
1101
- 2063,57,female,Z00,0,0,2025-09-04 10:26:13,12,CRIT
1102
- 2065,57,female,Z00,0,0,2025-09-04 11:12:11,12,CRIT
1103
- 2067,24,male,Z00,0,0,2025-09-04 12:11:14,12,CRIT
1104
- 2084,40,female,A15,8,1,2025-09-04 12:07:15,12,CRIT
1105
- 2069,68,female,Z00,0,0,2025-09-04 12:42:58,12,CRIT
1106
- 2071,69,female,Z00,0,0,2025-09-04 12:56:54,12,CRIT
1107
- 2073,39,female,Z00,0,0,2025-09-04 13:20:00,12,CRIT
1108
- 2075,36,male,Z00,0,0,2025-09-04 14:39:43,12,CRIT
1109
- 2077,42,female,Z00,0,0,2025-09-04 13:53:59,12,CRIT
1110
- 2079,30,female,Z00,0,0,2025-09-04 15:06:10,12,CRIT
1111
- 2081,56,female,Z00,0,0,2025-09-04 16:10:30,12,CRIT
1112
- 2083,36,female,Z00,0,0,2025-09-04 16:25:37,12,CRIT
1113
- 2085,29,male,Z00,0,0,2025-09-04 15:42:00,12,CRIT
1114
- 2087,42,male,Z00,0,0,2025-09-04 16:59:02,12,CRIT
1115
- 2086,28,male,A15,8,1,2025-09-04 16:37:39,12,CRIT
1116
- 2088,38,male,A15,8,1,2025-09-04 16:47:03,12,CRIT
1117
- 2090,42,female,A15,8,1,2025-09-04 17:50:44,12,CRIT
1118
- 2092,37,male,A15,8,1,2025-09-04 18:44:23,12,CRIT
1119
- 2094,67,male,A15,8,1,2025-09-04 18:11:53,12,CRIT
1120
- 2089,53,female,Z00,0,0,2025-09-04 19:11:02,12,CRIT
1121
- 2096,53,male,A15,8,1,2025-09-05 09:54:46,12,CRIT
1122
- 2098,50,male,A15,8,1,2025-09-05 10:25:02,12,CRIT
1123
- 2100,45,male,A15,8,1,2025-09-05 09:46:01,12,CRIT
1124
- 2102,50,male,A15,8,1,2025-09-05 09:46:36,12,CRIT
1125
- 2091,53,female,Z00,0,0,2025-09-05 09:57:20,12,CRIT
1126
- 2104,20,male,A15,8,1,2025-09-05 11:17:20,12,CRIT
1127
- 2106,19,male,A15,8,1,2025-09-05 12:17:58,12,CRIT
1128
- 2108,32,male,A15,8,1,2025-09-05 11:03:38,12,CRIT
1129
- 2110,60,male,A15,8,1,2025-09-05 12:04:21,12,CRIT
1130
- 2112,39,female,A15,8,1,2025-09-05 12:17:29,12,CRIT
1131
- 2114,40,male,A15,8,1,2025-09-05 12:38:56,12,CRIT
1132
- 2116,52,male,A15,8,1,2025-09-05 14:27:35,12,CRIT
1133
- 2093,53,female,Z00,0,0,2025-09-05 14:14:34,12,CRIT
1134
- 2118,54,male,A15,8,1,2025-09-05 16:03:01,12,CRIT
1135
- 2095,32,female,Z00,0,0,2025-09-05 14:47:11,12,CRIT
1136
- 2097,30,female,Z00,0,0,2025-09-05 15:46:18,12,CRIT
1137
- 2120,34,female,A15,8,1,2025-09-05 15:48:44,12,CRIT
1138
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1139
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1140
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1141
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1142
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1143
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1144
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1145
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1146
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1147
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1148
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1149
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1150
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1151
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1152
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1153
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1154
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1155
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1156
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1157
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1158
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1159
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1160
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1161
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1162
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1163
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1164
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1165
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1166
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1167
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1168
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1169
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1184
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1185
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1186
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1187
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1188
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1189
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1190
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1191
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1192
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1194
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1196
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1197
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1198
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1199
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1200
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1201
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1202
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1203
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1204
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1205
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1206
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1207
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1208
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1209
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1210
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1211
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1212
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1213
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1214
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1215
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
- 2224,17,male,A15,8,1,2025-09-12 16:06:45,13,CRIT
1230
- 2226,15,female,A15,8,1,2025-09-12 16:34:18,13,CRIT
1231
- 2228,18,female,A15,8,1,2025-09-12 16:24:18,13,CRIT
1232
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1233
- 2232,18,female,A15,8,1,2025-09-12 18:07:12,13,CRIT
1234
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1235
- 2236,15,male,A15,8,1,2025-09-12 19:00:49,13,CRIT
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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data/A15/patient_2004.json ADDED
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data/A15/patient_2006.json ADDED
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data/A15/patient_2008.json ADDED
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data/A15/patient_2010.json ADDED
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data/A15/patient_2012.json ADDED
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data/A15/patient_2014.json ADDED
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data/A15/patient_2016.json ADDED
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data/A15/patient_2018.json ADDED
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data/A15/patient_2020.json ADDED
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data/A15/patient_2022.json ADDED
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data/A15/patient_2024.json ADDED
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data/A15/patient_2026.json ADDED
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data/A15/patient_2028.json ADDED
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data/A15/patient_2030.json ADDED
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data/A15/patient_2032.json ADDED
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data/A15/patient_2034.json ADDED
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data/A15/patient_2036.json ADDED
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data/A15/patient_2038.json ADDED
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data/A15/patient_2040.json ADDED
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data/A15/patient_2042.json ADDED
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data/A15/patient_2044.json ADDED
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data/A15/patient_2046.json ADDED
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data/A15/patient_2048.json ADDED
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data/A15/patient_2050.json ADDED
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data/A15/patient_2052.json ADDED
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data/A15/patient_2054.json ADDED
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data/A15/patient_2056.json ADDED
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data/A15/patient_2058.json ADDED
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data/A15/patient_2060.json ADDED
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data/A15/patient_2062.json ADDED
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data/A15/patient_2064.json ADDED
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data/A15/patient_2066.json ADDED
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data/A15/patient_2068.json ADDED
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data/A15/patient_2070.json ADDED
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data/A15/patient_2072.json ADDED
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data/A15/patient_2074.json ADDED
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data/A15/patient_2076.json ADDED
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data/A15/patient_2078.json ADDED
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data/A15/patient_2080.json ADDED
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data/A15/patient_2082.json ADDED
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data/A15/patient_2084.json ADDED
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data/A15/patient_2086.json ADDED
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data/A15/patient_2088.json ADDED
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data/A15/patient_2090.json ADDED
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data/A15/patient_2092.json ADDED
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