The dataset consists of synthetic oscillator network topologies created using a random growth algorithm. Dynamical simulations are conducted by applying the second-order Kuramoto model to the nodes. This model is widely recognized for its effectiveness in analyzing synchronization dynamics in complex systems such as power grids and neuronal networks.
Two ensembles are included, each containing 10,000 unique network topologies:⦠See the full description on the dataset page:
https://huggingface.co/datasets/PIK-ICoNe-landscape/Stability_Landscapes.