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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Dust density enhancements and the direct formation of planetary cores in gravitationally unstable discs

Dust evolution in self-gravitating discs
Authors: Rice, Ken;

Dust density enhancements and the direct formation of planetary cores in gravitationally unstable discs

Abstract

This contains all of the scripts and data files necessary to reproduce the figures in the paper "Dust density enhancements and the direct formation of planetary cores in gravitationally unstable discs" by Rice et al. (2025) - Published in Monthly Notices of the Royal Astronomical Society, https://doi.org/10.1093/mnras/staf714. An arXiv preprint version of the article can also be found at https://arxiv.org/abs/2505.00363. A detailed README file is included as part of the submissions and explains the data files that have been included and where to find the python scripts that can reproduce the figures in the paper. We've only provided the data files necessary to reproduce the figures. Initial data files and those or intermediate steps are available on request.

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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
Average
Average
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