104 datasets found

eBay product health metrics for different domain teams to monitor

The dataset is a vector autoregressive (VAR) model with trend, where the mean is modeled by a recurrent neural network of the LSTM type, and the dependence structure is modeled...

The dataset used in the paper to analyze the causal relationships among the four time series variables.

The dataset used in the paper to analyze the causal relationships among the four time series variables.

Multi-Dimensional time series classification and prediction has been widely used in many fields, as disease prevention, fault diagnosis and action recognition.

The EigenWorms dataset contains 259 worm samples with very long sequences (length N = 17984) in this dataset, which are then divided into train, validation and test sets.

The bike sharing dataset is an hourly time series data for bike rentals in the Capital Bikeshare system between years 2011 and 2012.

The dataset is used to study the properties of the Hawkes process, a self-exciting point process that models the dynamics of financial prices.

The dataset is used to study the properties of the volatility process, including the fat-tails and time-reversal asymmetry.

The dataset is used to study the properties of the Quadratic Hawkes process, a generalization of the Hawkes process that includes quadratic feedback effects.

The dataset used in this paper is a time series of the Lorenz system, which is a prototypical chaotic system that models Rayleigh–B´enard convection.

The dataset used in the paper is a synthetic control chart time series dataset, which contains control charts synthetically generated by Alcock and Manolopoulos for the six...

The dataset used in the paper to analyze the trend of interest rates, profits, and markups.

The dataset used in this paper is the UCR time series dataset, which contains 43 datasets. The authors used this dataset to test the performance of their semi-classical neural...

The dataset used in the paper is a Mackey-Glass chaotic system, described by a delay-differential equation, which is augmented by an additive drive signal.

Data used in the paper

Foreign exchange markets data

Call center arrival data with seasonal patterns and autocorrelation

The Mackey-Glass dataset is used as an example in the paper.

This dataset is used for time-series anomaly detection. It contains multivariate time-series data from various sources, including industrial machines and sensors.