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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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