The "0,10pc" in the filename typically denotes a subset of the data containing 10% of the generated time series or specific parameter ranges used for training and testing the model's accuracy in predicting transitions in ecological, climate, or epidemiological systems.
The dataset was developed as part of a study on using deep learning, specifically and Long Short-Term Memory (LSTM) networks, to provide early warning signals for critical transitions (tipping points) in complex systems. Key Details about the Dataset and Paper CriticalVisit0,10pc.zip
The data is frequently hosted on repositories like Zenodo , GitHub , or as supplementary material for the published paper to allow for reproducibility of the deep learning benchmarks. Legal Issues of Economic Integration Volume 41, Number 2 The "0,10pc" in the filename typically denotes a