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ZENODO
Dataset . 2020
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 . 2020
License: CC BY
Data sources: Datacite
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KDD Cup Dataset (without Missing Values)

Authors: Godahewa, Rakshitha; Bergmeir, Christoph; Webb, Geoff; Hyndman, Rob; Montero-Manso, Pablo;

KDD Cup Dataset (without Missing Values)

Abstract

This dataset was used in the KDD Cup 2018 forecasting competition. It contains long hourly time series representing the air quality levels in 59 stations in 2 cities: Beijing (35 stations) and London (24 stations) from 01/01/2017 to 31/03/2018. The air quality level is represented in multiple measurements such as PM2.5, PM10, NO2, CO, O3 and SO2. The dataset uploaded here contains 270 hourly time series which have been categorized using city, station name and air quality measurement. The original dataset contains missing values. The leading missing values of a given series were replaced by zeros and the remaining missing values were replaced by carrying forward the corresponding last observations (LOCF method).

{"references": ["Kdd cup 2018. URL https://www.kdd.org/kdd2018/kdd-cup"]}

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Keywords

forecasting, KDD Cup, hourly series

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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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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