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Dataset assetOpen Source CommunityTime Series AnalysisChaos Theory
NeuroBench/mackey_glass
This dataset provides pre‑generated Mackey‑Glass time‑series numpy arrays generated with the jitcdde library. Because the library uses low‑level solvers, results can differ across machines even with identical ISA and library versions, so the pre‑generated data are recommended for reproducibility. Fourteen series are included; each uses MG parameters β = 0.2, γ = 0.1, n = 10 and τ ranging from 17 to 30. Each series spans 50 Lyapunov times, with 75 points per Lyapunov time.
Source
hugging_face
Created
Nov 28, 2025
Updated
Dec 14, 2023
Signals
137 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Source
- The dataset consists of pre‑generated Mackey‑Glass time‑series stored as numpy arrays, created with the jitcdde library.
Consistency
- The low‑level solver employed by the library may produce different results on different machines, even when the ISA and library versions match. Therefore, the supplied pre‑generated data should be used for reproducibility.
Content
- Fourteen time‑series are provided. All use MG parameters
beta=0.2,gamma=0.1,n=10. The delaytauvaries from 17 to 30 across the series. - Each series has a length of 50 Lyapunov times, with 75 points per Lyapunov time.
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