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Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2020
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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EIA Cleaned Hourly Electricity Demand Conda Environment

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Apr 2020 English Publisher:Zenodo
Authors: Ruggles, Tyler H.; Farnham, David J.;

doi: 10.5281/zenodo.3736784 , 10.5281/zenodo.3736783

EIA Cleaned Hourly Electricity Demand Conda Environment

Abstract

We are preserving the exact Conda computing environment used for the `EIA Cleaned Hourly Electricity Demand Data` project. See the resulting data and the code used to clean the data. This Conda environment `data_cleaning_env_OSX_10.14.tar.gz` was created using Mac OSX 10.14.6 and is only expected to run on recent versions of Mac OSX. A list of the included packages can be found in the `package-list.txt` file. To install this Conda environment once Conda is already installed and this archive is downloaded and unzipped: mkdir data_cleaning_env tar -xzf data_cleaning_env_OSX_10.14.tar.gz -C data_cleaning_env source data_cleaning_env/bin/activate conda-unpack

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citations
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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