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  - multivariate-time-series-forecasting
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  ---
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  # How To Load from HuggingFace Hub
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  1. Be sure to have `the_well` installed (`pip install the_well`)
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  **Boundary conditions:** Spherical.
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- **Simulation time-step (\\(\Delta t\\)):** CFL-based step size with safety factor of 0.4.
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- **Data are stored separated by (\\(\delta t\\)):** 1 hour in simulation time units.
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- **Total time range (\\(t_{min}\\) to \\(t_{max}\\)):** \\(t_{min} = 0\\), \\(t_{max} = 3024\\).
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  **Spatial domain size:** \\(\phi \in [0, 2 \pi]\\), \\(\theta \in [0, \pi]\\).
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  - multivariate-time-series-forecasting
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  ---
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+ This Dataset is part of [The Well Collection](https://huggingface.co/papers/2412.00568).
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+
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  # How To Load from HuggingFace Hub
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  1. Be sure to have `the_well` installed (`pip install the_well`)
 
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  **Boundary conditions:** Spherical.
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+ **Simulation time-step ( \\(\Delta t\\)):** CFL-based step size with safety factor of 0.4.
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+ **Data are stored separated by ( \\(\delta t\\)):** 1 hour in simulation time units.
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+ **Total time range ( \\(t_{min}\\) to \\(t_{max}\\)):** \\(t_{min} = 0\\), \\(t_{max} = 3024\\).
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  **Spatial domain size:** \\(\phi \in [0, 2 \pi]\\), \\(\theta \in [0, \pi]\\).
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