# fields: x y seconds_past_origin absolute_time
# preferred_unit: hours
# preferred_conversion: 3600
1.07833333333333 1 3882 2023-05-18T02:08:59
1.23583333333333 2 4449 2023-05-18T02:18:26
1.36416666666667 3 4911 2023-05-18T02:26:08
1.50222222222222 4 5408 2023-05-18T02:34:25
1.65 5 5940 2023-05-18T02:43:17
1.70444444444444 6 6136 2023-05-18T02:46:33
2.1625 7 7785 2023-05-18T03:14:02
2.98611111111111 8 10750 2023-05-18T04:03:27
4.20333333333333 9 15132 2023-05-18T05:16:29
4.25805555555556 10 15329 2023-05-18T05:19:46
12.4541666666667 11 44835 2023-05-18T13:31:32
16.8941666666667 12 60819 2023-05-18T17:57:56
17.2608333333333 13 62139 2023-05-18T18:19:56