Published August 14, 2022 | Version v1
Dataset Open

Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

Creators

  • 1. Foundation for Research and Technology Hellas (FORTH)
  • 2. University of Southern California

Description

The dataset contains time series of surface soil moisture at three locations, namely Idaho, Indiana, and Oklahoma.

For each location, the folder contains multiple gif images, one for each year, each containing 12 frames corresponding to monthly averages.

More information at 

https://github.com/gtsagkatakis/ETCN

Files

ETCN-dataset.zip

Files (665.8 kB)

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Additional details

Funding

European Commission
CALCHAS - Computational Intelligence for Multi-Source Remote Sensing Data Analytics 842560