PMassicotte / coastlooc_data_paper

The COASTLOOC data paper

COASTLOOC data paper

• COASTLOOC data paper
  • Associated paper
  • Using the project
    • renv
    • Docker and VSCode devcontainer

The COASTLOOC oceanic expeditions took place in 1997 and 1998. This project (a data paper) aims at presenting an overview of the collected data. A lot of data are about radiometric quantities and nutrients collected at the surface of the water column.

https://pmassicotte.github.io/coastlooc_data_paper/

Associated paper

The COASTLOOC data has been peer-reviewed and published in Earth System Science Data (ESSD).

• https://essd.copernicus.org/articles/15/3529/2023/

Open reviews

1. https://doi.org/10.5194/essd-2023-83-CC1
2. https://doi.org/10.5194/essd-2023-83-RC1
3. https://doi.org/10.5194/essd-2023-83-RC2
4. https://doi.org/10.5194/essd-2023-83-RC3

How to cite

Massicotte, P., Babin, M., Fell, F., Fournier-Sicre, V., and Doxaran, D.: The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset, Earth Syst. Sci. Data, 15, 3529–3545, https://doi.org/10.5194/essd-15-3529-2023, 2023.

Using the project

The R script R/000_main.R contains all the steps to re-run all the analyses.

renv

The project uses the renv R package to make this data project reproducible. After forking or downloading the project, make sure that renv is installed:

install.packages("renv")

Within the project directory, simply run the following command to install all the needed R packages.

More information can be found on the renv website.

renv::restore()

Docker and VSCode devcontainer

There is also a Dockerfile included in the directory. It includes everything needed to recreate the development environment used for the project. It also contains a devcontainer folder that can be used within VSCode.

One can refer to How to test against almost any R version with VSCode and Docker for a nice introduction to R/VSCode and devcontainer.