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tau
int64 17
30
| lyapunov_time
int64 97
315
| initial_condition
float64 0.27
1.1
|
|---|---|---|
17 | 197 | 0.72066 |
18 | 138 | 0.774431 |
19 | 315 | 0.778347 |
20 | 131 | 0.922599 |
21 | 191 | 0.947943 |
22 | 119 | 0.545596 |
23 | 106 | 0.862225 |
24 | 97 | 0.325966 |
25 | 98 | 0.829783 |
26 | 104 | 1.003349 |
27 | 112 | 0.649141 |
28 | 119 | 1.09575 |
29 | 131 | 0.925618 |
30 | 139 | 0.271364 |
Pre-generated numpy arrays of MackeyGlass time series, generated with the jitcdde library.
Please note that due to lower-level solvers used in the library, different machines, even with the same ISA and library versions, may produce different data. Thus, please use the pre-generated data included here.
The dataset contains 14 time series, each uses MG parameters beta=0.2, gamma=0.1, n=10. tau is varied per time series from 17 to 30. Each time series is 50 Lyapunov times in length, with 75 points per Lyapunov time.
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