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/
The COASTLOOC data has been peer-reviewed and published in Earth System Science Data (ESSD).
- https://doi.org/10.5194/essd-2023-83-CC1
- https://doi.org/10.5194/essd-2023-83-RC1
- https://doi.org/10.5194/essd-2023-83-RC2
- https://doi.org/10.5194/essd-2023-83-RC3
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.
The R script R/000_main.R contains all the steps to re-run all the analyses.
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()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.