Datasets:
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README.md
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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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# 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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| 101 |
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**Boundary conditions:** Spherical.
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| 103 |
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| 104 |
+
**Simulation time-step ( \\(\Delta t\\)):** CFL-based step size with safety factor of 0.4.
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| 105 |
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| 106 |
+
**Data are stored separated by ( \\(\delta t\\)):** 1 hour in simulation time units.
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| 108 |
+
**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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