16 datasets found

Robust anomaly detection for multivariate time series through stochastic recurrent neural network.

The dataset used in the paper is a multivariate time series dataset, consisting of sequences of sign language data, where each signal is a function from {t1, t2,..., tN} to R22.

Multivariate time series classification through an interpretable representation

Multivariate time series classification through an interpretable representation

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

The UEA archive is a collection of multivariate time series datasets where classification is of importance.

The UCR archive is a collection of univariate time series datasets where classification is of importance.

Multivariate Time-Series (MTS) data is crucial in various application fields. With its sequential and multi-source (multiple sensors) properties, MTS data inherently exhibits...

This dataset contains the pickup, drop-off timestamps and pickup, drop-off locations of taxis in New York city from 1st Jan 2019 to 28th Feb 2019.

The dataset used in this study is the UCI HAR dataset, a collection of acceleration and velocity data from a smartphone's gyroscope.

Multivariate Time Series forecasting dataset

The dataset is used for multivariate time series anomaly detection in IoT. It contains multivariate time series data from various IoT sensors.

The dataset is used for multivariate time series anomaly detection in IoT. It contains multivariate time series data from various IoT sensors.

The dataset is used for multivariate time series anomaly detection in IoT. It contains multivariate time series data from various IoT sensors.

A synthetic multivariate temporal dataset containing dimensions that combine to create a hidden output target.

The dataset is used for multivariate time series anomaly detection in IoT. It contains multivariate time series data from various IoT sensors.