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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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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Simulation datum of Full particle simulation of whistler-mode triggered falling-tone emissions in the magnetosphere

Authors: Nogi, Takeshi; Nakamura, Satoko; Omura, Yoshiharu;

Simulation datum of Full particle simulation of whistler-mode triggered falling-tone emissions in the magnetosphere

Abstract

Overview This dataset is obtained from KEMPO1 code with minor modifications. This dataset consists of raw data of simulation, an example of the python code, and Dockerfile to construct a drawing environment using Python. For more detail, please refer README.md. Command example using Docker If you draw figures using Docker, please download ALL the files in the dataset. Make sure that all files are put at the same directory. cd (path to downloaded files) docker build -t kempo1data . docker run -v ${PWD}:/data -it kempo1data python plot_data.py <data_file>.h5

{"references": ["Omura, Y., and Matsumoto, H. (1993). KEMPO1: Technical guide to one-dimensional electromagnetic particle code. In H. Matsumoto & Y. Omura (Eds.), Computer space plasma physics: Simulation techniques and softwares (p. 21-65). Tokyo: Terra Scientific Publishing Company.", "Omura, Y. (2007). One-dimensional electromagnetic particle code KEMPO1: A tutorial on microphysics in space plasmas. In H. Usui & Y. Omura (Eds.), Ad- vanced methods for space simulations (p. 1-21). Tokyo: Terra Scientific Pub- lishing Company."]}

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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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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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