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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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mag-noise/crm: Python processing code with MATLAB CDF generation

Authors: Allison Flores; C. Piker; Matthew G. Finley;

mag-noise/crm: Python processing code with MATLAB CDF generation

Abstract

What's in this Release collections: Contains information on how the data was logged, along with the corresponding data recording script. deps: Contains dependencies for the project, specifically the mapCDF submodule used in CDF creation. example: Includes a Python script using cdflib that demonstrates how to read data from CDF files, along with the corresponding output image generated. makecdfs: Contains scripts used to generate the CDFs from the Level 2 data. processing: Contains Python scripts required to regenerate the CDFs, progressing from Level 0 to Level 1, and then to Level 2. Contributors @matthewgfinley - Lead designer and contributor. Created the example and processing scripts and designed the data collection process. @cpiker - Created the mapCDF submodule and is the original author of the makecdf scripts. @amflores5 - Fixed minor bugs within the scripts. Full Changelog: https://github.com/mag-noise/crm/commits/v1.0.2 Requires: https://github.com/mag-noise/mapCDF

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
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Average