78 datasets found

The dataset is used for classification tasks. It contains 60 meat samples. Each sample is a 178-dimensional vector.

The dataset is used for classification tasks. It contains 139 earthquake prediction samples. Each sample is a 13-dimensional vector.

Time series imputation is one of the most fundamental tasks for time series. Real-world time series datasets are frequently incomplete (or irregular with missing observations),...

Time series imputation is one of the most fundamental tasks for time series. Real-world time series datasets are frequently incomplete (or irregular with missing observations),...

Time series imputation is one of the most fundamental tasks for time series. Real-world time series datasets are frequently incomplete (or irregular with missing observations),...

Time series imputation is one of the most fundamental tasks for time series. Real-world time series datasets are frequently incomplete (or irregular with missing observations),...

Time series imputation is one of the most fundamental tasks for time series. Real-world time series datasets are frequently incomplete (or irregular with missing observations),...

The dataset contains daily historical Google stock data from 2004 to 2019 with open, high, low, close, adjusted close, and volume features.

The Physikalisch-Technische Bundesanstalt (PTB) Diagnostic ECG database contains 549 12-lead records.

The dataset used in the paper is a collection of temperature sequences from beehives, including external, peripheral, and core temperatures.

UCR Time Series Archive is a collection of time series datasets from various domains. It is used for training and testing deep neural networks for time series classification tasks.

Time series clustering dataset

The Santa Fe Laser dataset consists in a time-series of normalized sampled intensities from an infra-red laser in chaotic regime. The Sunspot dataset is a time-series of monthly...

The Santa Fe Laser dataset consists in a time-series of normalized sampled intensities from an infra-red laser in chaotic regime. The Sunspot dataset is a time-series of monthly...

Time series data for patients exposed to statins

Long Short Term Memory Networks for Anomaly Detection in Time Series

The UCR Time Series Classification Archive contains 168 datasets for time series classification.

Time series anomaly detection method based on VAE with re-Encoder and latent constraint network

ACN-Data: Analysis and applications of an open EV charging dataset

The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].