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COVID-19 Forecasting Dataset
The dataset used in the paper is COVID-19 forecasting dataset, which includes various covariates such as mobility indices, non-pharmaceutical interventions, hospital resource... -
Mackey-Glass and Sunspot time series
Mackey-Glass chaotic time series [19] and the Sunspot data set [20]. -
Lorenz System
The Lorenz system is a well-known nonlinear dynamical system to model convective hydrodynamic flows. The consequence of chaos is that, under certain parameterizations, the... -
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Tim...
Time series forecasting using spectrograms and vision transformers -
Beijing PM2.5 dataset
Beijing PM2.5 dataset for air pollution forecasting -
Solar Dataset
The dataset used in the paper is the Solar dataset, containing solar power production records from 2006. -
USHCN Dataset
The dataset used in the paper is the U.S Historical Climatology Network (USHCN) dataset, containing daily climatological data from 1915 to 2000. -
Neural Network SDE Models with Applications to Financial Data Forecasting
The dataset used in this paper is a collection of stochastic differential equations with drift and diffusion coefficients approximated by neural networks to predict the trend of... -
eICU Collaborative Research Database
The eICU Collaborative Research Database is a multi-center dataset collated from 208 care centers in the United States, available through PhysioNet. It comprises 200,859 patient... -
PEMS-BAY Dataset
The dataset from the California Transportation Agency contains average traffic speed. -
AR1, COP, and WEB datasets
The dataset is a synthetic time series dataset, i.e., first order autoregression (AR1), and two real-world datasets, i.e., crude oil price (COP) and web traffic (WEB).
