https://github.com/blasbenito/moiscrust

High resolution database of soil moisture gathered by Maestre Lab between 17/11/2006-16/12/2020.

https://github.com/blasbenito/moiscrust

Science Score: 10.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: nature.com
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

High resolution database of soil moisture gathered by Maestre Lab between 17/11/2006-16/12/2020.

Basic Info
  • Host: GitHub
  • Owner: BlasBenito
  • License: cc-by-4.0
  • Language: HTML
  • Default Branch: main
  • Size: 385 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 5 years ago · Last pushed about 4 years ago

https://github.com/BlasBenito/moiscrust/blob/main/

---
title: README
header-includes:
   - \usepackage{fontspec}
   - \setmainfont[Scale=1.1]{Montserrat}
   - \setmonofont[Scale=1]{Montserrat}
output:
   pdf_document:
     latex_engine: xelatex
---

This repository contains the reproducible workflow of the paper *Fourteen years of continuous soil moisture records from plant and biocrust-dominated microsites* (Moreno *et al.*, 2022; URL: [https://www.nature.com/articles/s41597-021-01111-6](https://www.nature.com/articles/s41597-021-01111-6)).

The workflow is available as an interactive Rstudio notebook in the file `moiscrust.Rmd`. It is packaged with [renv](https://cran.r-project.org/package=renv) to facilitate reproducibility. To run it in your computer, execute the code chunk below in your R session once you have `moiscrust.Rmd` opened in Rstudio.

```r
install.packages("renv")
renv::restore()
```

Once the renv environment is restored, the code chunks in the document can be executed once by one, or all at once with the option  `Restart R and Run All Chunks` in the `Run` button.

Owner

  • Name: Blas Benito
  • Login: BlasBenito
  • Kind: user
  • Location: Somewhere in the beach

PhD in Quantitative Ecology, Master in Geographic Information Systems, R developer, data scientist and data engineer at @BiomeMakers.

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