78 datasets found

The dataset ETTh1 contains temperature data from a building.

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...

Three real-world time series datasets: Air Quality Guangzhou (Air-GZ), Air Quality Shenzhen (Air-SZ), and Boiler.

Time Series Generation (TSG) has emerged as a pivotal technique in synthesizing data that accurately mirrors real-world time series, becoming indispensable in numerous...

A multivariate time-series dataset that consists of hourly occupancy rates of lanes in San Francisco.

A multivariate time-series dataset that consists of temporal features and spatial features.

Temperature dataset for time series forecasting

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 forecasting is an important machine learning problem across many domains, including predictions of solar plant energy output, electricity consumption,...

The dataset consists of real-life solar power production data.

The dataset used in the paper is a synthetic dataset consisting of points in 2D that follow a spiral distribution.

The dataset consists of time series data in the form of spring oscillations, solar power production data, and spiral data.

The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed MG-TSD model.

The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed Multi-Granularity Time Series...

Global Sea Level Pressure (SLP) dataset provided by NCEP/National Center for Atmospheric Research (NCAR) Reanalysis Project

The dataset used in the paper is COVID-19 case data, state restriction policy, population and density, population with higher risk, age structure data, race structure data, and...

A synthetic univariate time series dataset created using a unique synthetic time series generator algorithm

MSCI dataset

The dataset is used for classification tasks. It contains 23 ECG signals. Each signal is a 100-dimensional vector.