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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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Claim

Temperature and rainfall datasets for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting"

Research datakeyboard_double_arrow_right Dataset 30 Nov 2019Publisher:Zenodo
Authors: Castro, Rafaela; Souto, Yania M.; Ogasawara, Eduardo; Porto, Fabio; Bezerra, Eduardo;

doi: 10.5281/zenodo.3558773 , 10.5281/zenodo.3558774

Temperature and rainfall datasets for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting"

Abstract

This page includes spatiotemporal datasets used in the paper STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. ARIMA and deep learning models use datasets, as follow: ARIMA models baseline-chirps-1981-2019.nc (rainfall data) baseline-ucar-1979-2015.nc (temperature data) Deep learning models: 5-step ahead: dataset-chirps-1981-2019-seq5-ystep5.nc (rainfall data) dataset-ucar-1979-2015-seq5-ystep5.nc (temperature data) 15-step ahead: dataset-chirps-1981-2019-seq5-ystep15.nc (rainfall data) dataset-ucar-1979-2015-seq5-ystep15.nc (temperature data)

Keywords

rainfall, temperature, spatiotemporal datasets

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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