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Market Returns and Volatility
The dataset used in this paper is a time series of monthly excess returns and volatility from 1927 to 2019. -
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... -
FTMixer: Frequency and Time Domain Representations Fusion for Time Series Mod...
Time series data can be represented in both the time and frequency domains, with the time domain emphasizing local dependencies and the frequency domain highlighting global... -
Airline Dataset
The Airline dataset is a collection of airline information, including flight numbers, departure and arrival airports, and airline names. -
YearMSD Dataset
The YearMSD dataset is a large collection of financial time series data. -
A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
Earthquake prediction using CNN-BiLSTM-AM model -
Healthcare Cost Prediction Dataset
The dataset used in this study consists of multivariate time series patient data, including medical, visit and cost features. -
ARCH-X model
The dataset used in this paper is the ARCH-X model with parameters on the boundary of the parameter space, allowing for non-negativity constraints on some or all of the... -
Temporal Data Processing
The dataset used in the paper is a temporal data processing dataset, which is processed by quantum-classical adaptive gating mechanisms. -
BOD dataset
BOD dataset -
Solar Power Dataset
The dataset consists of real-life solar power production data. -
Spiral Dataset
The dataset used in the paper is a synthetic dataset consisting of points in 2D that follow a spiral distribution. -
Generative time series models using Neural ODE in Variational Autoencoders
The dataset consists of time series data in the form of spring oscillations, solar power production data, and spiral data. -
M5 forecasting competitions dataset
The M5 forecasting competitions dataset contains time series data for the hierarchical unit sales of the largest retail company in the world, Walmart. -
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs...
The authors used 18 well-maintained business KPIs from a large Internet company. All KPIs have an interval of 1 minute between two observations. -
Synthetic oscillating time series
The dataset used in this paper is a collection of synthetic oscillating time series, including monochromatic, amplitude- and frequency-modulated sine waves. -
Stochastic volatility dataset
The dataset used in the paper is a stochastic volatility dataset. -
Lorenz System with Random Dynamical Parameters
The dataset used in the paper is a collection of time series data from the Lorenz system, with random dynamical parameters and Gaussian response functions. -
Shared Dynamics Reconstruction
The dataset used in the paper is a collection of time series data from diverse domains, including fluid dynamics, neuroscience, and systems biology. -
Merton Jump Diffusion Synthetic Data
The dataset used in this paper is a collection of synthetic market data generated via a Merton jump diffusion.
