# fields: x y seconds_past_origin absolute_time
# preferred_unit: hours
# preferred_conversion: 3600
0.349444444444444 1 1258 2023-10-15T11:36:35
0.386388888888889 2 1391 2023-10-15T11:38:48
0.470833333333333 3 1695 2023-10-15T11:43:52
0.575833333333333 4 2073 2023-10-15T11:50:10
0.782222222222222 5 2816 2023-10-15T12:02:33
0.819166666666667 6 2949 2023-10-15T12:04:46
0.831111111111111 7 2992 2023-10-15T12:05:29
0.991944444444444 8 3571 2023-10-15T12:15:08
1.63055555555556 9 5870 2023-10-15T12:53:27
3.86305555555556 10 13907 2023-10-15T15:07:24
6.90194444444444 11 24847 2023-10-15T18:09:44
10.5919444444444 12 38131 2023-10-15T21:51:08