Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 8 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: JekelyLab
  • Language: R
  • Default Branch: main
  • Size: 917 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.Rmd

---
output: github_document
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
# Please put your title here to include it in the file below.
Title <- "Mechanism of barotaxis in marine zooplankton"
```


[![DOI](https://zenodo.org/badge/607210164.svg)](https://zenodo.org/doi/10.5281/zenodo.11102697)



# About the project: 
- this is a repository from the [Jkely lab](https://www.cos.uni-heidelberg.de/en/research-groups/gaspar-jekely) containing source data and code documentation for the paper [Mechanism of barotaxis in marine zooplankton.](https://doi.org/10.7554/eLife.94306.1)

This repository contains the data and code for our paper:

> Luis Alberto Bezares Caldern, Rza Shahidi, Gspr Jkely. _`r Title`_. eLife 

### How to cite

Please cite this project as:

[![DOI](https://zenodo.org/badge/607210164.svg)](https://zenodo.org/doi/10.5281/zenodo.11102697)


> Authors, (`r format(Sys.Date(), "%Y")`). _Code and source data for `r Title`_. Accessed `r format(Sys.Date(), "%d %b %Y")`. Online at <(https://doi.org/10.5281/zenodo.11102698>

## How to work with the data

This resource has been developed using the statistical programming
language R. To work with the data and code, you will need
installed on your computer the [R software](https://cloud.r-project.org/)
itself and optionally [RStudio Desktop](https://rstudio.com/products/rstudio/download/).

If you would like to use the project, you could open Rstudio in your computer, then go to File > New Project > Version Control > Git. Under repository URL add the URL of this page and save it in a local folder.

The R project will live in the folder (as working directory) where the .Rproj file is saved. All other files and directories will be accessed relative to this working directory. This way the project is portable and self-contained.

The working directory contains this README file, a LICENCE file, a CITATION.cff file, the .gitignore file and the R project file. You can update these files to fit your project.

Data/TablesResults contains all metric table data that are the output of the behavioural tracking videos.

Code/Figures contains all the R code to generate all the figures in the paper.

Manuscript/Manuscript/pressuresensationPlankton.qmd is the Quarto markdown file with the text of the paper. Manuscript/bibliography_pressurepaper.bib contains the references.

### Licenses

**Text, figures, code, data :**  [CC-BY-4.0](http://creativecommons.org/licenses/by/4.0/)

### Acknowledgements

This README is modified after
https://annakrystalli.me/rrresearch/10_compendium.html.

Owner

  • Name: Jekely Lab
  • Login: JekelyLab
  • Kind: user
  • Location: Exeter
  • Company: University of Exeter

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