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csadorf/signac v0.9.2

Authors: Adorf, Carl S.; Dodd, Paul M.; Vyas Ramasubramani; Swerdlow, Benjamin; Glaser, Jens; Dice, Bradley; Glotzer, Sharon C.;

csadorf/signac v0.9.2

Abstract

Development and deployment supported by MICCoM, as part of the Computational Materials Sciences Pro- gram funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, under Subcontract No. 6F-30844. Project conceptualization and implementation supported by the National Science Foundation, Award # DMR 1409620.

The signac framework aids in the management of large and heterogeneous data spaces. It provides a simple and robust data model to create a well-defined indexable storage layout for data and metadata. This makes it easier to operate on large data spaces, streamlines post-processing and analysis and makes data collectively accessible.

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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!
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