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GOM-Series

Code Base

All code is written in R language. The here is used to navigate the project data directory and to make the project highly portable. One primary file, setup.R, is sourced in order to install and load any required libraries. Files located in the functions subdirectory are automatically sourced.

A number of dataset specific READMEs are stored at the top level of the projects.

Local data storage

We minimize local data storage demand by opting to dynamically fetching data online when it is reasonable to do so, and to compress all stored files.

Datasets

Base functionality for each dataset

  • fetch_xyz() downloads a dataset, possibly aggregating to monthly/yearly values, and possibly storing locally

  • read_xyz() reads a dataset - possibly by fetching with fetch_xyz()

  • complete_intervals_xyz(by = c("month", "year")) clips a dataset to complete intervals only. A month is considered complete with 28 or more days. A year is considered complete with 336 days (daily data) or 12 months (monthly data).

  • aggregate_xyz(by = c("month", "year", ...)) aggregates by month or year, when possible each parameter is summarized with the sixnum function which yields min, q25,median, 'mean, q75 and max).

  • export_xyz(by = c("month", "year")) exports data into a wide-format suitable for joining with other datasets

Funding

Partial funding for this work was provided by NSF grants OCE-2049308 & 1849227