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Dataset . 2020
License: CC BY
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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
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Quantifying dispersal variability among nearshore marine populations

Authors: Catalano, Katrina A.; Dedrick, Allison G.; Stuart, Michelle R.; Puritz, Jonathan B.; Montes Jr., Humberto R.; Pinsky, Malin L.;

Quantifying dispersal variability among nearshore marine populations

Abstract

Project measuring variability in larval dispersal for clownfish Amphiprion clarkii. This repository is organized into 3 folders: code -This contains the R code to produce the results in the manuscript “Quantifying dispersal variability among nearshore marine populations”. My original coding was done in Jupyter Notebooks (IR Kernel). These notebooks are included in the folder "WorkingJupyterNotebooks", and can be viewed as HTML using the web site https://nbviewer.jupyter.org/. The .R files were produced by downloading these notebooks as .R files. data -This contains the data to run the analysis using the code. The genomic data here is a filtered to use in Colony2. It also contains a backup of the SQL database with all data for the clownfish field and wetlab work in the Pinsky lab. genomics -This is the version of https://github.com/pinskylab/genomics as it was at the time of this project. It contains all molecular wetlab metadata, raw genomic data, bioinformatics code, and protocols. Please contact Katrina at kat.catalano@rutgers.edu with any questions.

Keywords

larval dispersal, connectivity, clownfish, amphiprion clarkii, marine larvae

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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.
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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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