Converting unix time stamp to datatime

Question

Dharmesh Joshi on 23 Nov 2023

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Direct link to this question

https://in.mathworks.com/matlabcentral/answers/2051447-converting-unix-time-stamp-to-datatime

Edited: Dharmesh Joshi on 23 Nov 2023

Accepted Answer: Stephen23

mydata.mat

Open in MATLAB Online

Hi

I have attached my data file for your reference. I am trying to convert the time stamps in mydata.dt to a datetime format so I can plot the data. For some reason, I am not successfully achieving this.

This is my code:

dtArray = [mydata.dt]
d = datetime(dtArray,'ConvertFrom','epochtime','TicksPerSecond',1e9,'Format','dd-MMM-yyyy HH:mm:ss.SSSSSSSSS')

The output i get is:

Columns 2155 through 2157
01-Jan-1970 00:00:01.693936799   01-Jan-1970 00:00:01.693940399   01-Jan-1970 00:00:01.693944000
Columns 2158 through 2160
01-Jan-1970 00:00:01.693947600   01-Jan-1970 00:00:01.693951200   01-Jan-1970 00:00:01.693954800
Column 2161
01-Jan-1970 00:00:01.693958400

Can you someone advice me on what i need to do?

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Answer 1

Stephen23 on 23 Nov 2023

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Link

Direct link to this answer

https://in.mathworks.com/matlabcentral/answers/2051447-converting-unix-time-stamp-to-datatime#answer_1358777

Edited: Stephen23 on 23 Nov 2023

Open in MATLAB Online

mydata.mat

You got the ticks wrong: those values given in the DT field are simply counts of the seconds since the epoch (which is the definition of unix time):

format long G
S = load('mydata.mat');
V = [S.mydata.dt]
V = 1×2161
1.0e+00 *

                1686182400                1686186000                1686189600                1686193200                1686196800                1686200400                1686204000                1686207600                1686211200                1686214800                1686218400                1686222000                1686225600                1686229200                1686232800                1686236400                1686240000                1686243600                1686247200                1686250800                1686254400                1686258000                1686261600                1686265200                1686268800                1686272400                1686276000                1686279600                1686283200                1686286800
D = datetime(V,'ConvertFrom','epochtime','TicksPerSecond',1,'Format','dd-MMM-yyyy HH:mm:ss.SSSSSSSSS')
D = 1×2161 datetime array
Columns 1 through 6

   08-Jun-2023 00:00:00.000000000   08-Jun-2023 01:00:00.000000000   08-Jun-2023 02:00:00.000000000   08-Jun-2023 03:00:00.000000000   08-Jun-2023 04:00:00.000000000   08-Jun-2023 05:00:00.000000000

Columns 7 through 12

   08-Jun-2023 06:00:00.000000000   08-Jun-2023 07:00:00.000000000   08-Jun-2023 08:00:00.000000000   08-Jun-2023 09:00:00.000000000   08-Jun-2023 10:00:00.000000000   08-Jun-2023 11:00:00.000000000

Columns 13 through 18

   08-Jun-2023 12:00:00.000000000   08-Jun-2023 13:00:00.000000000   08-Jun-2023 14:00:00.000000000   08-Jun-2023 15:00:00.000000000   08-Jun-2023 16:00:00.000000000   08-Jun-2023 17:00:00.000000000

Columns 19 through 24

   08-Jun-2023 18:00:00.000000000   08-Jun-2023 19:00:00.000000000   08-Jun-2023 20:00:00.000000000   08-Jun-2023 21:00:00.000000000   08-Jun-2023 22:00:00.000000000   08-Jun-2023 23:00:00.000000000

Columns 25 through 30

   09-Jun-2023 00:00:00.000000000   09-Jun-2023 01:00:00.000000000   09-Jun-2023 02:00:00.000000000   09-Jun-2023 03:00:00.000000000   09-Jun-2023 04:00:00.000000000   09-Jun-2023 05:00:00.000000000

Columns 31 through 36

   09-Jun-2023 06:00:00.000000000   09-Jun-2023 07:00:00.000000000   09-Jun-2023 08:00:00.000000000   09-Jun-2023 09:00:00.000000000   09-Jun-2023 10:00:00.000000000   09-Jun-2023 11:00:00.000000000

Columns 37 through 42

   09-Jun-2023 12:00:00.000000000   09-Jun-2023 13:00:00.000000000   09-Jun-2023 14:00:00.000000000   09-Jun-2023 15:00:00.000000000   09-Jun-2023 16:00:00.000000000   09-Jun-2023 17:00:00.000000000

Columns 43 through 48

   09-Jun-2023 18:00:00.000000000   09-Jun-2023 19:00:00.000000000   09-Jun-2023 20:00:00.000000000   09-Jun-2023 21:00:00.000000000   09-Jun-2023 22:00:00.000000000   09-Jun-2023 23:00:00.000000000

Columns 49 through 54

   10-Jun-2023 00:00:00.000000000   10-Jun-2023 01:00:00.000000000   10-Jun-2023 02:00:00.000000000   10-Jun-2023 03:00:00.000000000   10-Jun-2023 04:00:00.000000000   10-Jun-2023 05:00:00.000000000

Columns 55 through 60

   10-Jun-2023 06:00:00.000000000   10-Jun-2023 07:00:00.000000000   10-Jun-2023 08:00:00.000000000   10-Jun-2023 09:00:00.000000000   10-Jun-2023 10:00:00.000000000   10-Jun-2023 11:00:00.000000000

Columns 61 through 66

   10-Jun-2023 12:00:00.000000000   10-Jun-2023 13:00:00.000000000   10-Jun-2023 14:00:00.000000000   10-Jun-2023 15:00:00.000000000   10-Jun-2023 16:00:00.000000000   10-Jun-2023 17:00:00.000000000

Columns 67 through 72

   10-Jun-2023 18:00:00.000000000   10-Jun-2023 19:00:00.000000000   10-Jun-2023 20:00:00.000000000   10-Jun-2023 21:00:00.000000000   10-Jun-2023 22:00:00.000000000   10-Jun-2023 23:00:00.000000000

Columns 73 through 78

   11-Jun-2023 00:00:00.000000000   11-Jun-2023 01:00:00.000000000   11-Jun-2023 02:00:00.000000000   11-Jun-2023 03:00:00.000000000   11-Jun-2023 04:00:00.000000000   11-Jun-2023 05:00:00.000000000

Columns 79 through 84

   11-Jun-2023 06:00:00.000000000   11-Jun-2023 07:00:00.000000000   11-Jun-2023 08:00:00.000000000   11-Jun-2023 09:00:00.000000000   11-Jun-2023 10:00:00.000000000   11-Jun-2023 11:00:00.000000000

Columns 85 through 90

   11-Jun-2023 12:00:00.000000000   11-Jun-2023 13:00:00.000000000   11-Jun-2023 14:00:00.000000000   11-Jun-2023 15:00:00.000000000   11-Jun-2023 16:00:00.000000000   11-Jun-2023 17:00:00.000000000

Columns 91 through 96

   11-Jun-2023 18:00:00.000000000   11-Jun-2023 19:00:00.000000000   11-Jun-2023 20:00:00.000000000   11-Jun-2023 21:00:00.000000000   11-Jun-2023 22:00:00.000000000   11-Jun-2023 23:00:00.000000000

Columns 97 through 102

   12-Jun-2023 00:00:00.000000000   12-Jun-2023 01:00:00.000000000   12-Jun-2023 02:00:00.000000000   12-Jun-2023 03:00:00.000000000   12-Jun-2023 04:00:00.000000000   12-Jun-2023 05:00:00.000000000

Columns 103 through 108

   12-Jun-2023 06:00:00.000000000   12-Jun-2023 07:00:00.000000000   12-Jun-2023 08:00:00.000000000   12-Jun-2023 09:00:00.000000000   12-Jun-2023 10:00:00.000000000   12-Jun-2023 11:00:00.000000000

Columns 109 through 114

   12-Jun-2023 12:00:00.000000000   12-Jun-2023 13:00:00.000000000   12-Jun-2023 14:00:00.000000000   12-Jun-2023 15:00:00.000000000   12-Jun-2023 16:00:00.000000000   12-Jun-2023 17:00:00.000000000

Columns 115 through 120

   12-Jun-2023 18:00:00.000000000   12-Jun-2023 19:00:00.000000000   12-Jun-2023 20:00:00.000000000   12-Jun-2023 21:00:00.000000000   12-Jun-2023 22:00:00.000000000   12-Jun-2023 23:00:00.000000000

Columns 121 through 126

   13-Jun-2023 00:00:00.000000000   13-Jun-2023 01:00:00.000000000   13-Jun-2023 02:00:00.000000000   13-Jun-2023 03:00:00.000000000   13-Jun-2023 04:00:00.000000000   13-Jun-2023 05:00:00.000000000

Columns 127 through 132

   13-Jun-2023 06:00:00.000000000   13-Jun-2023 07:00:00.000000000   13-Jun-2023 08:00:00.000000000   13-Jun-2023 09:00:00.000000000   13-Jun-2023 10:00:00.000000000   13-Jun-2023 11:00:00.000000000

Columns 133 through 138

   13-Jun-2023 12:00:00.000000000   13-Jun-2023 13:00:00.000000000   13-Jun-2023 14:00:00.000000000   13-Jun-2023 15:00:00.000000000   13-Jun-2023 16:00:00.000000000   13-Jun-2023 17:00:00.000000000

Columns 139 through 144

   13-Jun-2023 18:00:00.000000000   13-Jun-2023 19:00:00.000000000   13-Jun-2023 20:00:00.000000000   13-Jun-2023 21:00:00.000000000   13-Jun-2023 22:00:00.000000000   13-Jun-2023 23:00:00.000000000

Columns 145 through 150

   14-Jun-2023 00:00:00.000000000   14-Jun-2023 01:00:00.000000000   14-Jun-2023 02:00:00.000000000   14-Jun-2023 03:00:00.000000000   14-Jun-2023 04:00:00.000000000   14-Jun-2023 05:00:00.000000000

Columns 151 through 156

   14-Jun-2023 06:00:00.000000000   14-Jun-2023 07:00:00.000000000   14-Jun-2023 08:00:00.000000000   14-Jun-2023 09:00:00.000000000   14-Jun-2023 10:00:00.000000000   14-Jun-2023 11:00:00.000000000

Columns 157 through 162

   14-Jun-2023 12:00:00.000000000   14-Jun-2023 13:00:00.000000000   14-Jun-2023 14:00:00.000000000   14-Jun-2023 15:00:00.000000000   14-Jun-2023 16:00:00.000000000   14-Jun-2023 17:00:00.000000000

Columns 163 through 168

   14-Jun-2023 18:00:00.000000000   14-Jun-2023 19:00:00.000000000   14-Jun-2023 20:00:00.000000000   14-Jun-2023 21:00:00.000000000   14-Jun-2023 22:00:00.000000000   14-Jun-2023 23:00:00.000000000

Columns 169 through 174

   15-Jun-2023 00:00:00.000000000   15-Jun-2023 01:00:00.000000000   15-Jun-2023 02:00:00.000000000   15-Jun-2023 03:00:00.000000000   15-Jun-2023 04:00:00.000000000   15-Jun-2023 05:00:00.000000000

Columns 175 through 180

   15-Jun-2023 06:00:00.000000000   15-Jun-2023 07:00:00.000000000   15-Jun-2023 08:00:00.000000000   15-Jun-2023 09:00:00.000000000   15-Jun-2023 10:00:00.000000000   15-Jun-2023 11:00:00.000000000

Columns 181 through 186

   15-Jun-2023 12:00:00.000000000   15-Jun-2023 13:00:00.000000000   15-Jun-2023 14:00:00.000000000   15-Jun-2023 15:00:00.000000000   15-Jun-2023 16:00:00.000000000   15-Jun-2023 17:00:00.000000000

Columns 187 through 192

   15-Jun-2023 18:00:00.000000000   15-Jun-2023 19:00:00.000000000   15-Jun-2023 20:00:00.000000000   15-Jun-2023 21:00:00.000000000   15-Jun-2023 22:00:00.000000000   15-Jun-2023 23:00:00.000000000

Columns 193 through 198

   16-Jun-2023 00:00:00.000000000   16-Jun-2023 01:00:00.000000000   16-Jun-2023 02:00:00.000000000   16-Jun-2023 03:00:00.000000000   16-Jun-2023 04:00:00.000000000   16-Jun-2023 05:00:00.000000000

Columns 199 through 204

   16-Jun-2023 06:00:00.000000000   16-Jun-2023 07:00:00.000000000   16-Jun-2023 08:00:00.000000000   16-Jun-2023 09:00:00.000000000   16-Jun-2023 10:00:00.000000000   16-Jun-2023 11:00:00.000000000

Columns 205 through 210

   16-Jun-2023 12:00:00.000000000   16-Jun-2023 13:00:00.000000000   16-Jun-2023 14:00:00.000000000   16-Jun-2023 15:00:00.000000000   16-Jun-2023 16:00:00.000000000   16-Jun-2023 17:00:00.000000000

Columns 211 through 216

   16-Jun-2023 18:00:00.000000000   16-Jun-2023 19:00:00.000000000   16-Jun-2023 20:00:00.000000000   16-Jun-2023 21:00:00.000000000   16-Jun-2023 22:00:00.000000000   16-Jun-2023 23:00:00.000000000

Columns 217 through 222

   17-Jun-2023 00:00:00.000000000   17-Jun-2023 01:00:00.000000000   17-Jun-2023 02:00:00.000000000   17-Jun-2023 03:00:00.000000000   17-Jun-2023 04:00:00.000000000   17-Jun-2023 05:00:00.000000000

Columns 223 through 228

   17-Jun-2023 06:00:00.000000000   17-Jun-2023 07:00:00.000000000   17-Jun-2023 08:00:00.000000000   17-Jun-2023 09:00:00.000000000   17-Jun-2023 10:00:00.000000000   17-Jun-2023 11:00:00.000000000

Columns 229 through 234

   17-Jun-2023 12:00:00.000000000   17-Jun-2023 13:00:00.000000000   17-Jun-2023 14:00:00.000000000   17-Jun-2023 15:00:00.000000000   17-Jun-2023 16:00:00.000000000   17-Jun-2023 17:00:00.000000000

Columns 235 through 240

   17-Jun-2023 18:00:00.000000000   17-Jun-2023 19:00:00.000000000   17-Jun-2023 20:00:00.000000000   17-Jun-2023 21:00:00.000000000   17-Jun-2023 22:00:00.000000000   17-Jun-2023 23:00:00.000000000

Columns 241 through 246

   18-Jun-2023 00:00:00.000000000   18-Jun-2023 01:00:00.000000000   18-Jun-2023 02:00:00.000000000   18-Jun-2023 03:00:00.000000000   18-Jun-2023 04:00:00.000000000   18-Jun-2023 05:00:00.000000000

Columns 247 through 252

   18-Jun-2023 06:00:00.000000000   18-Jun-2023 07:00:00.000000000   18-Jun-2023 08:00:00.000000000   18-Jun-2023 09:00:00.000000000   18-Jun-2023 10:00:00.000000000   18-Jun-2023 11:00:00.000000000

Columns 253 through 258

   18-Jun-2023 12:00:00.000000000   18-Jun-2023 13:00:00.000000000   18-Jun-2023 14:00:00.000000000   18-Jun-2023 15:00:00.000000000   18-Jun-2023 16:00:00.000000000   18-Jun-2023 17:00:00.000000000

Columns 259 through 264

   18-Jun-2023 18:00:00.000000000   18-Jun-2023 19:00:00.000000000   18-Jun-2023 20:00:00.000000000   18-Jun-2023 21:00:00.000000000   18-Jun-2023 22:00:00.000000000   18-Jun-2023 23:00:00.000000000

Columns 265 through 270

   19-Jun-2023 00:00:00.000000000   19-Jun-2023 01:00:00.000000000   19-Jun-2023 02:00:00.000000000   19-Jun-2023 03:00:00.000000000   19-Jun-2023 04:00:00.000000000   19-Jun-2023 05:00:00.000000000

Columns 271 through 276

   19-Jun-2023 06:00:00.000000000   19-Jun-2023 07:00:00.000000000   19-Jun-2023 08:00:00.000000000   19-Jun-2023 09:00:00.000000000   19-Jun-2023 10:00:00.000000000   19-Jun-2023 11:00:00.000000000

Columns 277 through 282

   19-Jun-2023 12:00:00.000000000   19-Jun-2023 13:00:00.000000000   19-Jun-2023 14:00:00.000000000   19-Jun-2023 15:00:00.000000000   19-Jun-2023 16:00:00.000000000   19-Jun-2023 17:00:00.000000000

Columns 283 through 288

   19-Jun-2023 18:00:00.000000000   19-Jun-2023 19:00:00.000000000   19-Jun-2023 20:00:00.000000000   19-Jun-2023 21:00:00.000000000   19-Jun-2023 22:00:00.000000000   19-Jun-2023 23:00:00.000000000

Columns 289 through 294

   20-Jun-2023 00:00:00.000000000   20-Jun-2023 01:00:00.000000000   20-Jun-2023 02:00:00.000000000   20-Jun-2023 03:00:00.000000000   20-Jun-2023 04:00:00.000000000   20-Jun-2023 05:00:00.000000000

Columns 295 through 300

   20-Jun-2023 06:00:00.000000000   20-Jun-2023 07:00:00.000000000   20-Jun-2023 08:00:00.000000000   20-Jun-2023 09:00:00.000000000   20-Jun-2023 10:00:00.000000000   20-Jun-2023 11:00:00.000000000

Columns 301 through 306

   20-Jun-2023 12:00:00.000000000   20-Jun-2023 13:00:00.000000000   20-Jun-2023 14:00:00.000000000   20-Jun-2023 15:00:00.000000000   20-Jun-2023 16:00:00.000000000   20-Jun-2023 17:00:00.000000000

Columns 307 through 312

   20-Jun-2023 18:00:00.000000000   20-Jun-2023 19:00:00.000000000   20-Jun-2023 20:00:00.000000000   20-Jun-2023 21:00:00.000000000   20-Jun-2023 22:00:00.000000000   20-Jun-2023 23:00:00.000000000

Columns 313 through 318

   21-Jun-2023 00:00:00.000000000   21-Jun-2023 01:00:00.000000000   21-Jun-2023 02:00:00.000000000   21-Jun-2023 03:00:00.000000000   21-Jun-2023 04:00:00.000000000   21-Jun-2023 05:00:00.000000000

Columns 319 through 324

   21-Jun-2023 06:00:00.000000000   21-Jun-2023 07:00:00.000000000   21-Jun-2023 08:00:00.000000000   21-Jun-2023 09:00:00.000000000   21-Jun-2023 10:00:00.000000000   21-Jun-2023 11:00:00.000000000

Columns 325 through 330

   21-Jun-2023 12:00:00.000000000   21-Jun-2023 13:00:00.000000000   21-Jun-2023 14:00:00.000000000   21-Jun-2023 15:00:00.000000000   21-Jun-2023 16:00:00.000000000   21-Jun-2023 17:00:00.000000000

Columns 331 through 336

   21-Jun-2023 18:00:00.000000000   21-Jun-2023 19:00:00.000000000   21-Jun-2023 20:00:00.000000000   21-Jun-2023 21:00:00.000000000   21-Jun-2023 22:00:00.000000000   21-Jun-2023 23:00:00.000000000

Columns 337 through 342

   22-Jun-2023 00:00:00.000000000   22-Jun-2023 01:00:00.000000000   22-Jun-2023 02:00:00.000000000   22-Jun-2023 03:00:00.000000000   22-Jun-2023 04:00:00.000000000   22-Jun-2023 05:00:00.000000000

Columns 343 through 348

   22-Jun-2023 06:00:00.000000000   22-Jun-2023 07:00:00.000000000   22-Jun-2023 08:00:00.000000000   22-Jun-2023 09:00:00.000000000   22-Jun-2023 10:00:00.000000000   22-Jun-2023 11:00:00.000000000

Columns 349 through 354

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Columns 355 through 360

   22-Jun-2023 18:00:00.000000000   22-Jun-2023 19:00:00.000000000   22-Jun-2023 20:00:00.000000000   22-Jun-2023 21:00:00.000000000   22-Jun-2023 22:00:00.000000000   22-Jun-2023 23:00:00.000000000

Columns 361 through 366

   23-Jun-2023 00:00:00.000000000   23-Jun-2023 01:00:00.000000000   23-Jun-2023 02:00:00.000000000   23-Jun-2023 03:00:00.000000000   23-Jun-2023 04:00:00.000000000   23-Jun-2023 05:00:00.000000000

Columns 367 through 372

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Columns 373 through 378

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Columns 379 through 384

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Columns 385 through 390

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Columns 391 through 396

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Columns 397 through 402

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Columns 403 through 408

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Columns 409 through 414

   25-Jun-2023 00:00:00.000000000   25-Jun-2023 01:00:00.000000000   25-Jun-2023 02:00:00.000000000   25-Jun-2023 03:00:00.000000000   25-Jun-2023 04:00:00.000000000   25-Jun-2023 05:00:00.000000000

Columns 415 through 420

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Columns 421 through 426

   25-Jun-2023 12:00:00.000000000   25-Jun-2023 13:00:00.000000000   25-Jun-2023 14:00:00.000000000   25-Jun-2023 15:00:00.000000000   25-Jun-2023 16:00:00.000000000   25-Jun-2023 17:00:00.000000000

Columns 427 through 432

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Columns 433 through 438

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Columns 439 through 444

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Columns 445 through 450

   26-Jun-2023 12:00:00.000000000   26-Jun-2023 13:00:00.000000000   26-Jun-2023 14:00:00.000000000   26-Jun-2023 15:00:00.000000000   26-Jun-2023 16:00:00.000000000   26-Jun-2023 17:00:00.000000000

Columns 451 through 456

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Columns 457 through 462

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Columns 463 through 468

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Columns 469 through 474

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Columns 475 through 480

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Columns 481 through 486

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Columns 487 through 492

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Columns 493 through 498

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Columns 499 through 504

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Columns 505 through 510

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Columns 511 through 516

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Columns 517 through 522

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Columns 523 through 528

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Columns 529 through 534

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Columns 535 through 540

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Columns 541 through 546

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Columns 547 through 552

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Columns 553 through 558

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Columns 559 through 564

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Columns 565 through 570

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Columns 571 through 576

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Columns 577 through 582

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Columns 583 through 588

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Columns 589 through 594

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Columns 595 through 600

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Columns 601 through 606

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Columns 607 through 612

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Columns 613 through 618

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Columns 619 through 624

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Columns 625 through 630

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Columns 631 through 636

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Columns 637 through 642

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Columns 643 through 648

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Columns 649 through 654

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Columns 655 through 660

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Columns 661 through 666

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Columns 667 through 672

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Columns 673 through 678

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Columns 679 through 684

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Columns 685 through 690

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Columns 691 through 696

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Columns 697 through 702

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Columns 703 through 708

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Columns 709 through 714

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Columns 715 through 720

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Columns 721 through 726

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Columns 727 through 732

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Columns 733 through 738

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Columns 739 through 744

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Columns 745 through 750

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Columns 751 through 756

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Columns 757 through 762

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Columns 763 through 768

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Columns 769 through 774

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Columns 775 through 780

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Columns 781 through 786

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Columns 787 through 792

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Columns 793 through 798

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Columns 799 through 804

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Columns 805 through 810

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Columns 811 through 816

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Columns 817 through 822

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Columns 823 through 828

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Columns 829 through 834

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Columns 835 through 840

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Columns 841 through 846

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Columns 847 through 852

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Columns 853 through 858

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Columns 859 through 864

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Columns 865 through 870

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Columns 871 through 876

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Columns 877 through 882

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Columns 883 through 888

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Columns 889 through 894

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Columns 895 through 900

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Columns 901 through 906

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Columns 907 through 912

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Columns 913 through 918

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Columns 919 through 924

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Columns 925 through 930

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Columns 931 through 936

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Columns 937 through 942

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Columns 943 through 948

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Columns 949 through 954

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Columns 955 through 960

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Columns 961 through 966

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Columns 967 through 972

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Columns 973 through 978

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Columns 979 through 984

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Columns 985 through 990

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Columns 991 through 996

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Columns 997 through 1002

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Columns 1003 through 1008

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Columns 1009 through 1014

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Columns 1015 through 1020

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Columns 1021 through 1026

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Columns 1027 through 1032

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Columns 1033 through 1038

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Columns 1039 through 1044

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Columns 1045 through 1050

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Columns 1051 through 1056

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Columns 1057 through 1062

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Columns 1063 through 1068

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Columns 1069 through 1074

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Columns 1075 through 1080

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Columns 1081 through 1086

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Columns 1087 through 1092

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Columns 1093 through 1098

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Columns 1099 through 1104

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Columns 1105 through 1110

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Columns 1111 through 1116

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Columns 1117 through 1122

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Columns 1123 through 1128

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Columns 1129 through 1134

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Columns 1135 through 1140

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Columns 1141 through 1146

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Columns 1147 through 1152

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Columns 1153 through 1158

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Columns 1159 through 1164

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Columns 1165 through 1170

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Columns 1171 through 1176

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Columns 1177 through 1182

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Columns 1183 through 1188

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Columns 1189 through 1194

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Columns 1195 through 1200

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Columns 1201 through 1206

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Columns 1207 through 1212

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Columns 1213 through 1218

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Columns 1219 through 1224

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Columns 1225 through 1230

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Columns 1231 through 1236

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Columns 1237 through 1242

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Columns 1243 through 1248

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Columns 1249 through 1254

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Columns 1255 through 1260

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Columns 1261 through 1266

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Columns 1267 through 1272

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Columns 1273 through 1278

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Columns 1279 through 1284

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Columns 1285 through 1290

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Columns 1291 through 1296

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Columns 1297 through 1302

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Columns 1303 through 1308

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Columns 1309 through 1314

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Columns 1315 through 1320

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Columns 1321 through 1326

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Columns 1327 through 1332

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Columns 1333 through 1338

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Columns 1339 through 1344

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Columns 1345 through 1350

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Columns 1351 through 1356

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Columns 1357 through 1362

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Columns 1363 through 1368

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Columns 1369 through 1374

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Columns 1375 through 1380

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Columns 1381 through 1386

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Columns 1387 through 1392

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Columns 1393 through 1398

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Columns 1399 through 1404

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Columns 1405 through 1410

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Columns 1411 through 1416

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Columns 1417 through 1422

   06-Aug-2023 00:00:00.000000000   06-Aug-2023 01:00:00.000000000   06-Aug-2023 02:00:00.000000000   06-Aug-2023 03:00:00.000000000   06-Aug-2023 04:00:00.000000000   06-Aug-2023 05:00:00.000000000

Columns 1423 through 1428

   06-Aug-2023 06:00:00.000000000   06-Aug-2023 07:00:00.000000000   06-Aug-2023 08:00:00.000000000   06-Aug-2023 09:00:00.000000000   06-Aug-2023 10:00:00.000000000   06-Aug-2023 11:00:00.000000000

Columns 1429 through 1434

   06-Aug-2023 12:00:00.000000000   06-Aug-2023 13:00:00.000000000   06-Aug-2023 14:00:00.000000000   06-Aug-2023 15:00:00.000000000   06-Aug-2023 16:00:00.000000000   06-Aug-2023 17:00:00.000000000

Columns 1435 through 1440

   06-Aug-2023 18:00:00.000000000   06-Aug-2023 19:00:00.000000000   06-Aug-2023 20:00:00.000000000   06-Aug-2023 21:00:00.000000000   06-Aug-2023 22:00:00.000000000   06-Aug-2023 23:00:00.000000000

Columns 1441 through 1446

   07-Aug-2023 00:00:00.000000000   07-Aug-2023 01:00:00.000000000   07-Aug-2023 02:00:00.000000000   07-Aug-2023 03:00:00.000000000   07-Aug-2023 04:00:00.000000000   07-Aug-2023 05:00:00.000000000

Columns 1447 through 1452

   07-Aug-2023 06:00:00.000000000   07-Aug-2023 07:00:00.000000000   07-Aug-2023 08:00:00.000000000   07-Aug-2023 09:00:00.000000000   07-Aug-2023 10:00:00.000000000   07-Aug-2023 11:00:00.000000000

Columns 1453 through 1458

   07-Aug-2023 12:00:00.000000000   07-Aug-2023 13:00:00.000000000   07-Aug-2023 14:00:00.000000000   07-Aug-2023 15:00:00.000000000   07-Aug-2023 16:00:00.000000000   07-Aug-2023 17:00:00.000000000

Columns 1459 through 1464

   07-Aug-2023 18:00:00.000000000   07-Aug-2023 19:00:00.000000000   07-Aug-2023 20:00:00.000000000   07-Aug-2023 21:00:00.000000000   07-Aug-2023 22:00:00.000000000   07-Aug-2023 23:00:00.000000000

Columns 1465 through 1470

   08-Aug-2023 00:00:00.000000000   08-Aug-2023 01:00:00.000000000   08-Aug-2023 02:00:00.000000000   08-Aug-2023 03:00:00.000000000   08-Aug-2023 04:00:00.000000000   08-Aug-2023 05:00:00.000000000

Columns 1471 through 1476

   08-Aug-2023 06:00:00.000000000   08-Aug-2023 07:00:00.000000000   08-Aug-2023 08:00:00.000000000   08-Aug-2023 09:00:00.000000000   08-Aug-2023 10:00:00.000000000   08-Aug-2023 11:00:00.000000000

Columns 1477 through 1482

   08-Aug-2023 12:00:00.000000000   08-Aug-2023 13:00:00.000000000   08-Aug-2023 14:00:00.000000000   08-Aug-2023 15:00:00.000000000   08-Aug-2023 16:00:00.000000000   08-Aug-2023 17:00:00.000000000

Columns 1483 through 1488

   08-Aug-2023 18:00:00.000000000   08-Aug-2023 19:00:00.000000000   08-Aug-2023 20:00:00.000000000   08-Aug-2023 21:00:00.000000000   08-Aug-2023 22:00:00.000000000   08-Aug-2023 23:00:00.000000000

Columns 1489 through 1494

   09-Aug-2023 00:00:00.000000000   09-Aug-2023 01:00:00.000000000   09-Aug-2023 02:00:00.000000000   09-Aug-2023 03:00:00.000000000   09-Aug-2023 04:00:00.000000000   09-Aug-2023 05:00:00.000000000

Columns 1495 through 1500

   09-Aug-2023 06:00:00.000000000   09-Aug-2023 07:00:00.000000000   09-Aug-2023 08:00:00.000000000   09-Aug-2023 09:00:00.000000000   09-Aug-2023 10:00:00.000000000   09-Aug-2023 11:00:00.000000000

Columns 1501 through 1506

   09-Aug-2023 12:00:00.000000000   09-Aug-2023 13:00:00.000000000   09-Aug-2023 14:00:00.000000000   09-Aug-2023 15:00:00.000000000   09-Aug-2023 16:00:00.000000000   09-Aug-2023 17:00:00.000000000

Columns 1507 through 1512

   09-Aug-2023 18:00:00.000000000   09-Aug-2023 19:00:00.000000000   09-Aug-2023 20:00:00.000000000   09-Aug-2023 21:00:00.000000000   09-Aug-2023 22:00:00.000000000   09-Aug-2023 23:00:00.000000000

Columns 1513 through 1518

   10-Aug-2023 00:00:00.000000000   10-Aug-2023 01:00:00.000000000   10-Aug-2023 02:00:00.000000000   10-Aug-2023 03:00:00.000000000   10-Aug-2023 04:00:00.000000000   10-Aug-2023 05:00:00.000000000

Columns 1519 through 1524

   10-Aug-2023 06:00:00.000000000   10-Aug-2023 07:00:00.000000000   10-Aug-2023 08:00:00.000000000   10-Aug-2023 09:00:00.000000000   10-Aug-2023 10:00:00.000000000   10-Aug-2023 11:00:00.000000000

Columns 1525 through 1530

   10-Aug-2023 12:00:00.000000000   10-Aug-2023 13:00:00.000000000   10-Aug-2023 14:00:00.000000000   10-Aug-2023 15:00:00.000000000   10-Aug-2023 16:00:00.000000000   10-Aug-2023 17:00:00.000000000

Columns 1531 through 1536

   10-Aug-2023 18:00:00.000000000   10-Aug-2023 19:00:00.000000000   10-Aug-2023 20:00:00.000000000   10-Aug-2023 21:00:00.000000000   10-Aug-2023 22:00:00.000000000   10-Aug-2023 23:00:00.000000000

Columns 1537 through 1542

   11-Aug-2023 00:00:00.000000000   11-Aug-2023 01:00:00.000000000   11-Aug-2023 02:00:00.000000000   11-Aug-2023 03:00:00.000000000   11-Aug-2023 04:00:00.000000000   11-Aug-2023 05:00:00.000000000

Columns 1543 through 1548

   11-Aug-2023 06:00:00.000000000   11-Aug-2023 07:00:00.000000000   11-Aug-2023 08:00:00.000000000   11-Aug-2023 09:00:00.000000000   11-Aug-2023 10:00:00.000000000   11-Aug-2023 11:00:00.000000000

Columns 1549 through 1554

   11-Aug-2023 12:00:00.000000000   11-Aug-2023 13:00:00.000000000   11-Aug-2023 14:00:00.000000000   11-Aug-2023 15:00:00.000000000   11-Aug-2023 16:00:00.000000000   11-Aug-2023 17:00:00.000000000

Columns 1555 through 1560

   11-Aug-2023 18:00:00.000000000   11-Aug-2023 19:00:00.000000000   11-Aug-2023 20:00:00.000000000   11-Aug-2023 21:00:00.000000000   11-Aug-2023 22:00:00.000000000   11-Aug-2023 23:00:00.000000000

Columns 1561 through 1566

   12-Aug-2023 00:00:00.000000000   12-Aug-2023 01:00:00.000000000   12-Aug-2023 02:00:00.000000000   12-Aug-2023 03:00:00.000000000   12-Aug-2023 04:00:00.000000000   12-Aug-2023 05:00:00.000000000

Columns 1567 through 1572

   12-Aug-2023 06:00:00.000000000   12-Aug-2023 07:00:00.000000000   12-Aug-2023 08:00:00.000000000   12-Aug-2023 09:00:00.000000000   12-Aug-2023 10:00:00.000000000   12-Aug-2023 11:00:00.000000000

Columns 1573 through 1578

   12-Aug-2023 12:00:00.000000000   12-Aug-2023 13:00:00.000000000   12-Aug-2023 14:00:00.000000000   12-Aug-2023 15:00:00.000000000   12-Aug-2023 16:00:00.000000000   12-Aug-2023 17:00:00.000000000

Columns 1579 through 1584

   12-Aug-2023 18:00:00.000000000   12-Aug-2023 19:00:00.000000000   12-Aug-2023 20:00:00.000000000   12-Aug-2023 21:00:00.000000000   12-Aug-2023 22:00:00.000000000   12-Aug-2023 23:00:00.000000000

Columns 1585 through 1590

   13-Aug-2023 00:00:00.000000000   13-Aug-2023 01:00:00.000000000   13-Aug-2023 02:00:00.000000000   13-Aug-2023 03:00:00.000000000   13-Aug-2023 04:00:00.000000000   13-Aug-2023 05:00:00.000000000

Columns 1591 through 1596

Or simply (and more accurately converted):

D = datetime(V,'ConvertFrom','posixtime','Format','dd-MMM-yyyy HH:mm:ss.SSSSSSSSS')
D = 1×2161 datetime array
Columns 1 through 6

   08-Jun-2023 00:00:00.000000000   08-Jun-2023 01:00:00.000000000   08-Jun-2023 02:00:00.000000000   08-Jun-2023 03:00:00.000000000   08-Jun-2023 04:00:00.000000000   08-Jun-2023 05:00:00.000000000

Columns 7 through 12

   08-Jun-2023 06:00:00.000000000   08-Jun-2023 07:00:00.000000000   08-Jun-2023 08:00:00.000000000   08-Jun-2023 09:00:00.000000000   08-Jun-2023 10:00:00.000000000   08-Jun-2023 11:00:00.000000000

Columns 13 through 18

   08-Jun-2023 12:00:00.000000000   08-Jun-2023 13:00:00.000000000   08-Jun-2023 14:00:00.000000000   08-Jun-2023 15:00:00.000000000   08-Jun-2023 16:00:00.000000000   08-Jun-2023 17:00:00.000000000

Columns 19 through 24

   08-Jun-2023 18:00:00.000000000   08-Jun-2023 19:00:00.000000000   08-Jun-2023 20:00:00.000000000   08-Jun-2023 21:00:00.000000000   08-Jun-2023 22:00:00.000000000   08-Jun-2023 23:00:00.000000000

Columns 25 through 30

   09-Jun-2023 00:00:00.000000000   09-Jun-2023 01:00:00.000000000   09-Jun-2023 02:00:00.000000000   09-Jun-2023 03:00:00.000000000   09-Jun-2023 04:00:00.000000000   09-Jun-2023 05:00:00.000000000

Columns 31 through 36

   09-Jun-2023 06:00:00.000000000   09-Jun-2023 07:00:00.000000000   09-Jun-2023 08:00:00.000000000   09-Jun-2023 09:00:00.000000000   09-Jun-2023 10:00:00.000000000   09-Jun-2023 11:00:00.000000000

Columns 37 through 42

   09-Jun-2023 12:00:00.000000000   09-Jun-2023 13:00:00.000000000   09-Jun-2023 14:00:00.000000000   09-Jun-2023 15:00:00.000000000   09-Jun-2023 16:00:00.000000000   09-Jun-2023 17:00:00.000000000

Columns 43 through 48

   09-Jun-2023 18:00:00.000000000   09-Jun-2023 19:00:00.000000000   09-Jun-2023 20:00:00.000000000   09-Jun-2023 21:00:00.000000000   09-Jun-2023 22:00:00.000000000   09-Jun-2023 23:00:00.000000000

Columns 49 through 54

   10-Jun-2023 00:00:00.000000000   10-Jun-2023 01:00:00.000000000   10-Jun-2023 02:00:00.000000000   10-Jun-2023 03:00:00.000000000   10-Jun-2023 04:00:00.000000000   10-Jun-2023 05:00:00.000000000

Columns 55 through 60

   10-Jun-2023 06:00:00.000000000   10-Jun-2023 07:00:00.000000000   10-Jun-2023 08:00:00.000000000   10-Jun-2023 09:00:00.000000000   10-Jun-2023 10:00:00.000000000   10-Jun-2023 11:00:00.000000000

Columns 61 through 66

   10-Jun-2023 12:00:00.000000000   10-Jun-2023 13:00:00.000000000   10-Jun-2023 14:00:00.000000000   10-Jun-2023 15:00:00.000000000   10-Jun-2023 16:00:00.000000000   10-Jun-2023 17:00:00.000000000

Columns 67 through 72

   10-Jun-2023 18:00:00.000000000   10-Jun-2023 19:00:00.000000000   10-Jun-2023 20:00:00.000000000   10-Jun-2023 21:00:00.000000000   10-Jun-2023 22:00:00.000000000   10-Jun-2023 23:00:00.000000000

Columns 73 through 78

   11-Jun-2023 00:00:00.000000000   11-Jun-2023 01:00:00.000000000   11-Jun-2023 02:00:00.000000000   11-Jun-2023 03:00:00.000000000   11-Jun-2023 04:00:00.000000000   11-Jun-2023 05:00:00.000000000

Columns 79 through 84

   11-Jun-2023 06:00:00.000000000   11-Jun-2023 07:00:00.000000000   11-Jun-2023 08:00:00.000000000   11-Jun-2023 09:00:00.000000000   11-Jun-2023 10:00:00.000000000   11-Jun-2023 11:00:00.000000000

Columns 85 through 90

   11-Jun-2023 12:00:00.000000000   11-Jun-2023 13:00:00.000000000   11-Jun-2023 14:00:00.000000000   11-Jun-2023 15:00:00.000000000   11-Jun-2023 16:00:00.000000000   11-Jun-2023 17:00:00.000000000

Columns 91 through 96

   11-Jun-2023 18:00:00.000000000   11-Jun-2023 19:00:00.000000000   11-Jun-2023 20:00:00.000000000   11-Jun-2023 21:00:00.000000000   11-Jun-2023 22:00:00.000000000   11-Jun-2023 23:00:00.000000000

Columns 97 through 102

   12-Jun-2023 00:00:00.000000000   12-Jun-2023 01:00:00.000000000   12-Jun-2023 02:00:00.000000000   12-Jun-2023 03:00:00.000000000   12-Jun-2023 04:00:00.000000000   12-Jun-2023 05:00:00.000000000

Columns 103 through 108

   12-Jun-2023 06:00:00.000000000   12-Jun-2023 07:00:00.000000000   12-Jun-2023 08:00:00.000000000   12-Jun-2023 09:00:00.000000000   12-Jun-2023 10:00:00.000000000   12-Jun-2023 11:00:00.000000000

Columns 109 through 114

   12-Jun-2023 12:00:00.000000000   12-Jun-2023 13:00:00.000000000   12-Jun-2023 14:00:00.000000000   12-Jun-2023 15:00:00.000000000   12-Jun-2023 16:00:00.000000000   12-Jun-2023 17:00:00.000000000

Columns 115 through 120

   12-Jun-2023 18:00:00.000000000   12-Jun-2023 19:00:00.000000000   12-Jun-2023 20:00:00.000000000   12-Jun-2023 21:00:00.000000000   12-Jun-2023 22:00:00.000000000   12-Jun-2023 23:00:00.000000000

Columns 121 through 126

   13-Jun-2023 00:00:00.000000000   13-Jun-2023 01:00:00.000000000   13-Jun-2023 02:00:00.000000000   13-Jun-2023 03:00:00.000000000   13-Jun-2023 04:00:00.000000000   13-Jun-2023 05:00:00.000000000

Columns 127 through 132

   13-Jun-2023 06:00:00.000000000   13-Jun-2023 07:00:00.000000000   13-Jun-2023 08:00:00.000000000   13-Jun-2023 09:00:00.000000000   13-Jun-2023 10:00:00.000000000   13-Jun-2023 11:00:00.000000000

Columns 133 through 138

   13-Jun-2023 12:00:00.000000000   13-Jun-2023 13:00:00.000000000   13-Jun-2023 14:00:00.000000000   13-Jun-2023 15:00:00.000000000   13-Jun-2023 16:00:00.000000000   13-Jun-2023 17:00:00.000000000

Columns 139 through 144

   13-Jun-2023 18:00:00.000000000   13-Jun-2023 19:00:00.000000000   13-Jun-2023 20:00:00.000000000   13-Jun-2023 21:00:00.000000000   13-Jun-2023 22:00:00.000000000   13-Jun-2023 23:00:00.000000000

Columns 145 through 150

   14-Jun-2023 00:00:00.000000000   14-Jun-2023 01:00:00.000000000   14-Jun-2023 02:00:00.000000000   14-Jun-2023 03:00:00.000000000   14-Jun-2023 04:00:00.000000000   14-Jun-2023 05:00:00.000000000

Columns 151 through 156

   14-Jun-2023 06:00:00.000000000   14-Jun-2023 07:00:00.000000000   14-Jun-2023 08:00:00.000000000   14-Jun-2023 09:00:00.000000000   14-Jun-2023 10:00:00.000000000   14-Jun-2023 11:00:00.000000000

Columns 157 through 162

   14-Jun-2023 12:00:00.000000000   14-Jun-2023 13:00:00.000000000   14-Jun-2023 14:00:00.000000000   14-Jun-2023 15:00:00.000000000   14-Jun-2023 16:00:00.000000000   14-Jun-2023 17:00:00.000000000

Columns 163 through 168

   14-Jun-2023 18:00:00.000000000   14-Jun-2023 19:00:00.000000000   14-Jun-2023 20:00:00.000000000   14-Jun-2023 21:00:00.000000000   14-Jun-2023 22:00:00.000000000   14-Jun-2023 23:00:00.000000000

Columns 169 through 174

   15-Jun-2023 00:00:00.000000000   15-Jun-2023 01:00:00.000000000   15-Jun-2023 02:00:00.000000000   15-Jun-2023 03:00:00.000000000   15-Jun-2023 04:00:00.000000000   15-Jun-2023 05:00:00.000000000

Columns 175 through 180

   15-Jun-2023 06:00:00.000000000   15-Jun-2023 07:00:00.000000000   15-Jun-2023 08:00:00.000000000   15-Jun-2023 09:00:00.000000000   15-Jun-2023 10:00:00.000000000   15-Jun-2023 11:00:00.000000000

Columns 181 through 186

   15-Jun-2023 12:00:00.000000000   15-Jun-2023 13:00:00.000000000   15-Jun-2023 14:00:00.000000000   15-Jun-2023 15:00:00.000000000   15-Jun-2023 16:00:00.000000000   15-Jun-2023 17:00:00.000000000

Columns 187 through 192

   15-Jun-2023 18:00:00.000000000   15-Jun-2023 19:00:00.000000000   15-Jun-2023 20:00:00.000000000   15-Jun-2023 21:00:00.000000000   15-Jun-2023 22:00:00.000000000   15-Jun-2023 23:00:00.000000000

Columns 193 through 198

   16-Jun-2023 00:00:00.000000000   16-Jun-2023 01:00:00.000000000   16-Jun-2023 02:00:00.000000000   16-Jun-2023 03:00:00.000000000   16-Jun-2023 04:00:00.000000000   16-Jun-2023 05:00:00.000000000

Columns 199 through 204

   16-Jun-2023 06:00:00.000000000   16-Jun-2023 07:00:00.000000000   16-Jun-2023 08:00:00.000000000   16-Jun-2023 09:00:00.000000000   16-Jun-2023 10:00:00.000000000   16-Jun-2023 11:00:00.000000000

Columns 205 through 210

   16-Jun-2023 12:00:00.000000000   16-Jun-2023 13:00:00.000000000   16-Jun-2023 14:00:00.000000000   16-Jun-2023 15:00:00.000000000   16-Jun-2023 16:00:00.000000000   16-Jun-2023 17:00:00.000000000

Columns 211 through 216

   16-Jun-2023 18:00:00.000000000   16-Jun-2023 19:00:00.000000000   16-Jun-2023 20:00:00.000000000   16-Jun-2023 21:00:00.000000000   16-Jun-2023 22:00:00.000000000   16-Jun-2023 23:00:00.000000000

Columns 217 through 222

   17-Jun-2023 00:00:00.000000000   17-Jun-2023 01:00:00.000000000   17-Jun-2023 02:00:00.000000000   17-Jun-2023 03:00:00.000000000   17-Jun-2023 04:00:00.000000000   17-Jun-2023 05:00:00.000000000

Columns 223 through 228

   17-Jun-2023 06:00:00.000000000   17-Jun-2023 07:00:00.000000000   17-Jun-2023 08:00:00.000000000   17-Jun-2023 09:00:00.000000000   17-Jun-2023 10:00:00.000000000   17-Jun-2023 11:00:00.000000000

Columns 229 through 234

   17-Jun-2023 12:00:00.000000000   17-Jun-2023 13:00:00.000000000   17-Jun-2023 14:00:00.000000000   17-Jun-2023 15:00:00.000000000   17-Jun-2023 16:00:00.000000000   17-Jun-2023 17:00:00.000000000

Columns 235 through 240

   17-Jun-2023 18:00:00.000000000   17-Jun-2023 19:00:00.000000000   17-Jun-2023 20:00:00.000000000   17-Jun-2023 21:00:00.000000000   17-Jun-2023 22:00:00.000000000   17-Jun-2023 23:00:00.000000000

Columns 241 through 246

   18-Jun-2023 00:00:00.000000000   18-Jun-2023 01:00:00.000000000   18-Jun-2023 02:00:00.000000000   18-Jun-2023 03:00:00.000000000   18-Jun-2023 04:00:00.000000000   18-Jun-2023 05:00:00.000000000

Columns 247 through 252

   18-Jun-2023 06:00:00.000000000   18-Jun-2023 07:00:00.000000000   18-Jun-2023 08:00:00.000000000   18-Jun-2023 09:00:00.000000000   18-Jun-2023 10:00:00.000000000   18-Jun-2023 11:00:00.000000000

Columns 253 through 258

   18-Jun-2023 12:00:00.000000000   18-Jun-2023 13:00:00.000000000   18-Jun-2023 14:00:00.000000000   18-Jun-2023 15:00:00.000000000   18-Jun-2023 16:00:00.000000000   18-Jun-2023 17:00:00.000000000

Columns 259 through 264

   18-Jun-2023 18:00:00.000000000   18-Jun-2023 19:00:00.000000000   18-Jun-2023 20:00:00.000000000   18-Jun-2023 21:00:00.000000000   18-Jun-2023 22:00:00.000000000   18-Jun-2023 23:00:00.000000000

Columns 265 through 270

   19-Jun-2023 00:00:00.000000000   19-Jun-2023 01:00:00.000000000   19-Jun-2023 02:00:00.000000000   19-Jun-2023 03:00:00.000000000   19-Jun-2023 04:00:00.000000000   19-Jun-2023 05:00:00.000000000

Columns 271 through 276

   19-Jun-2023 06:00:00.000000000   19-Jun-2023 07:00:00.000000000   19-Jun-2023 08:00:00.000000000   19-Jun-2023 09:00:00.000000000   19-Jun-2023 10:00:00.000000000   19-Jun-2023 11:00:00.000000000

Columns 277 through 282

   19-Jun-2023 12:00:00.000000000   19-Jun-2023 13:00:00.000000000   19-Jun-2023 14:00:00.000000000   19-Jun-2023 15:00:00.000000000   19-Jun-2023 16:00:00.000000000   19-Jun-2023 17:00:00.000000000

Columns 283 through 288

   19-Jun-2023 18:00:00.000000000   19-Jun-2023 19:00:00.000000000   19-Jun-2023 20:00:00.000000000   19-Jun-2023 21:00:00.000000000   19-Jun-2023 22:00:00.000000000   19-Jun-2023 23:00:00.000000000

Columns 289 through 294

   20-Jun-2023 00:00:00.000000000   20-Jun-2023 01:00:00.000000000   20-Jun-2023 02:00:00.000000000   20-Jun-2023 03:00:00.000000000   20-Jun-2023 04:00:00.000000000   20-Jun-2023 05:00:00.000000000

Columns 295 through 300

   20-Jun-2023 06:00:00.000000000   20-Jun-2023 07:00:00.000000000   20-Jun-2023 08:00:00.000000000   20-Jun-2023 09:00:00.000000000   20-Jun-2023 10:00:00.000000000   20-Jun-2023 11:00:00.000000000

Columns 301 through 306

   20-Jun-2023 12:00:00.000000000   20-Jun-2023 13:00:00.000000000   20-Jun-2023 14:00:00.000000000   20-Jun-2023 15:00:00.000000000   20-Jun-2023 16:00:00.000000000   20-Jun-2023 17:00:00.000000000

Columns 307 through 312

   20-Jun-2023 18:00:00.000000000   20-Jun-2023 19:00:00.000000000   20-Jun-2023 20:00:00.000000000   20-Jun-2023 21:00:00.000000000   20-Jun-2023 22:00:00.000000000   20-Jun-2023 23:00:00.000000000

Columns 313 through 318

   21-Jun-2023 00:00:00.000000000   21-Jun-2023 01:00:00.000000000   21-Jun-2023 02:00:00.000000000   21-Jun-2023 03:00:00.000000000   21-Jun-2023 04:00:00.000000000   21-Jun-2023 05:00:00.000000000

Columns 319 through 324

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Columns 325 through 330

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Columns 331 through 336

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Columns 337 through 342

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Columns 343 through 348

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Columns 349 through 354

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Columns 355 through 360

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Columns 361 through 366

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Columns 367 through 372

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Columns 373 through 378

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Columns 379 through 384

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Columns 385 through 390

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Columns 391 through 396

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Columns 397 through 402

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Columns 403 through 408

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Columns 409 through 414

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Columns 415 through 420

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Columns 421 through 426

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Columns 427 through 432

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Columns 433 through 438

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Columns 439 through 444

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Columns 445 through 450

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Columns 451 through 456

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Columns 457 through 462

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Columns 463 through 468

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Columns 469 through 474

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Columns 475 through 480

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Columns 481 through 486

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Columns 487 through 492

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Columns 493 through 498

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Columns 499 through 504

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Columns 505 through 510

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Columns 511 through 516

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Columns 517 through 522

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Columns 523 through 528

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Columns 529 through 534

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Columns 535 through 540

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Columns 541 through 546

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Columns 547 through 552

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Columns 553 through 558

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Columns 559 through 564

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Columns 565 through 570

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Columns 571 through 576

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Columns 577 through 582

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Columns 583 through 588

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Columns 589 through 594

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Columns 595 through 600

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Columns 601 through 606

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Columns 607 through 612

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Columns 613 through 618

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Columns 619 through 624

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Columns 625 through 630

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Columns 631 through 636

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Columns 637 through 642

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Columns 643 through 648

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Columns 649 through 654

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Columns 655 through 660

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Columns 661 through 666

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Columns 667 through 672

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Columns 673 through 678

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Columns 679 through 684

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Columns 685 through 690

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Columns 691 through 696

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Columns 697 through 702

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Columns 703 through 708

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Columns 709 through 714

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Columns 715 through 720

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Columns 721 through 726

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Columns 727 through 732

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Columns 733 through 738

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Columns 739 through 744

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Columns 745 through 750

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Columns 751 through 756

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Columns 757 through 762

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Columns 763 through 768

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Columns 769 through 774

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Columns 775 through 780

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Columns 781 through 786

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Columns 787 through 792

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Columns 793 through 798

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Columns 799 through 804

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Columns 805 through 810

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Columns 811 through 816

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Columns 817 through 822

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Columns 823 through 828

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Columns 829 through 834

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Columns 835 through 840

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Columns 841 through 846

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Columns 847 through 852

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Columns 853 through 858

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Columns 859 through 864

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Columns 865 through 870

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Columns 871 through 876

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Columns 877 through 882

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Columns 883 through 888

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Columns 889 through 894

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Columns 895 through 900

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Columns 901 through 906

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Columns 907 through 912

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Columns 913 through 918

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Columns 919 through 924

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Columns 925 through 930

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Columns 931 through 936

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Columns 937 through 942

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Columns 943 through 948

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Columns 949 through 954

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Columns 955 through 960

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Columns 961 through 966

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Columns 967 through 972

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Columns 973 through 978

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Columns 979 through 984

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Columns 985 through 990

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Columns 991 through 996

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Columns 997 through 1002

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Columns 1003 through 1008

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Columns 1009 through 1014

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Columns 1015 through 1020

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Columns 1021 through 1026

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Columns 1027 through 1032

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Columns 1033 through 1038

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Columns 1039 through 1044

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Columns 1045 through 1050

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Columns 1051 through 1056

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Columns 1057 through 1062

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Columns 1063 through 1068

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Columns 1069 through 1074

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Columns 1075 through 1080

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Columns 1081 through 1086

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Columns 1087 through 1092

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Columns 1093 through 1098

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Columns 1099 through 1104

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Columns 1105 through 1110

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Columns 1111 through 1116

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Columns 1117 through 1122

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Columns 1123 through 1128

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Columns 1129 through 1134

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Columns 1135 through 1140

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Columns 1141 through 1146

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Columns 1147 through 1152

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Columns 1153 through 1158

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Columns 1159 through 1164

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Columns 1165 through 1170

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Columns 1171 through 1176

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Columns 1177 through 1182

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Columns 1183 through 1188

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Columns 1189 through 1194

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Columns 1195 through 1200

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Columns 1201 through 1206

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Columns 1207 through 1212

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Columns 1213 through 1218

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Columns 1219 through 1224

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Columns 1225 through 1230

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Columns 1231 through 1236

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Columns 1237 through 1242

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Columns 1243 through 1248

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Columns 1249 through 1254

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Columns 1255 through 1260

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Columns 1261 through 1266

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Columns 1267 through 1272

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Columns 1273 through 1278

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Columns 1279 through 1284

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Columns 1285 through 1290

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Columns 1291 through 1296

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Stephen23 on 23 Nov 2023

Edited: Stephen23 on 23 Nov 2023

Open in MATLAB Online

mydata.mat

"I get the following error, i am trying to plot the time stamps with the data."

The reason for your error is explained here (btw, the error is unrelated to your original question):

https://www.mathworks.com/matlabcentral/answers/1656435-tutorial-comma-separated-lists-and-how-to-use-them#answer_966455

Lets have a look at your data:

S = load('mydata.mat')
S = struct with fields:
                      Table1: [2160×11 table]
                      Table2: [0×11 table]
                         ans: 1.6940e+09
                           d: [08-Jun-2023 00:00:00    08-Jun-2023 01:00:00    08-Jun-2023 02:00:00    08-Jun-2023 03:00:00    08-Jun-2023 04:00:00    …    ] (1×2161 datetime)
    data_for_regression_set2: [2160×11 table]
                 date_format: 'MM/dd/yyyy HH:mm:ss'
                          dt: 1.6862e+09
                    dt_array: [1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 1.6862e+09 … ] (1×2161 double)
               end_date_time: "09/06/2023 00:00:00"
                end_datetime: 06-Sep-2023
                         exc: [1×1 MException]
        formatted_utc_string: '06/08/2023 03:00:00'
       formatted_utc_strings: {2161×1 cell}
                     headers: [1×1 matlab.net.http.field.AcceptField]
                           i: 2161
                         lat: "51.5377"
                         lon: "-0.00219"
                      mydata: [2161×1 struct]
                    open_api: "http://api.openweathermap.org/data/2.5/air_pollution/history?lat=51.5377&lon=-0.00219&start=1686182400&end=1693958400&appid=cfc96818e359a283caecacd446a70a64"
              posix_end_time: 1.6940e+09
            posix_start_time: 1.6862e+09
                           r: [1×1 matlab.net.http.RequestMessage]
                        resp: [1×1 matlab.net.http.ResponseMessage]
             start_date_time: "06/08/2023 00:00:00"
              start_datetime: 08-Jun-2023
                          t1: [1×1 struct]
                          t2: [1×1 struct]
              unix_timestamp: 1.6940e+09
                utc_datetime: 06-Sep-2023
S.mydata
ans = 2161×1 struct array with fields:
    main
    components
    dt

So MYDATA is a non-scalar structure. Dot indexing into MYDATA will therefore return multiple arrays, just as the documentation explains:

https://www.mathworks.com/help/matlab/matlab_prog/access-multiple-elements-of-a-nonscalar-struct-array.html

It is not possible to dot index into multiple things using the syntax you showed. But of course it is easy to create an intermediate variable by concatenating those things together:

T = [S.mydata.components] % intermediate array

T = 1×2161 struct array with fields:

co no no2 o3 so2 pm2_5 pm10 nh3

Y = [T.no2] % concatenate lots of scalar values together

Y = 1×2161

5.1000 4.4100 4.0700 3.9400 4.0300 4.5000 6.0800 7.4500 7.3700 6.4300 5.0600 3.9800 3.3400 3.1300 3.1700 3.3400 3.9800 4.8400 5.4400 6.4300 7.0300 6.6000 6.3400 5.8300 5.2300 4.7600 4.3300 4.1600 4.1600 4.6300

D = datetime([S.mydata.dt],'ConvertFrom','posixtime','Format','dd-MMM-yyyy HH:mm:ss.SSSSSSSSS');

plot(D,Y)

But ... why are you storing lots of scalar structures (with identical fieldnames) inside a non-scalar structure?

Converting unix time stamp to datatime

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Converting unix time stamp to datatime

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