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Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

Name: Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting
Keywords: 13. Climate action

Research datakeyboard_double_arrow_right Dataset 14 Aug 2022Publisher:ZenodoFunded by:EC | CALCHAS

Authors: Villia Maria Myrto; Grigorios, Tsagkatakis; Mahta, Moghaddam; Panagiotis, Tsakalides;

doi: 10.5281/zenodo.6990480 , 10.5281/zenodo.6990479

Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

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Abstract

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

Related Organizations

University of California System
United States
Foundation for Research and Technology Hellas
Greece
IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

Impact byBIP!

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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average