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ZENODO
Software . 2022
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
Software . 2022
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
Software . 2022
License: CC BY
Data sources: Datacite
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Monte Carlo Timeseries Fit Optimization

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Aug 2022Publisher:Zenodo
Authors: Piccione, Gavin;

doi: 10.5281/zenodo.6968568 , 10.5281/zenodo.6968567

Monte Carlo Timeseries Fit Optimization

Abstract

These Matlab codes use a Monte Carlo simulation to calculate an optimized age model for subglacial precipitate samples within their individual age uncertainty bounds. They then calculate the fit between the age model and a user-defined climate threshold. Relevant data are provided. These codes were used to run the calculations from the manuscript: Subglacial Precipitates Record Antarctic Ice Sheet Response to Pleistocene Millennial Climate Cycles by Piccione et al. 2022, published in Nature Communications. All codes require a Matlab license. Codes were tested on Matlab version R2021a.

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Keywords

Timeseries, Monte Carlo

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selected citations
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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.
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.
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