Title: Download and Open Data Provided by the Copernicus Global Land
Description: Download and open manifest files provided by the Copernicus Global Land Service data <https://land.copernicus.eu/global/>. The manifest files are available at: <https://land.copernicus.vgt.vito.be/manifest/>. Also see: <https://land.copernicus.eu/global/access/>. Before you can download the data, you will first need to register to create a username and password.
Author: Willemijn Vroege [aut, cre] (<https://orcid.org/0000-0001-5076-0559>),

Title: Manipulate Matrix Row and Column Labels with Ease
person("Matthew", "Heun", , "matthew.heun@me.com", role = c("aut", "cre"),
Description: Functions to assist manipulation of matrix
row and column labels for all types of matrix mathematics
where row and column labels are to be respected.
Suggests: dplyr, knitr, rmarkdown, spelling, testthat (>= 3.0.0),
Author: Matthew Heun [aut, cre] (<https://orcid.org/0000-0002-7438-214X>)

Imports: assertthat, Hmisc, magrittr, purrr

Suggests: dplyr, knitr, rmarkdown, spelling, stringr, testthat (>=

Title: Tools for Manipulating and Summarizing CMIP5 Data
Description: Working with CMIP5 data can be tricky, forcing scientists to write
custom scripts and programs. The `RCMIP5` package aims to ease this
process, providing a standard, robust, and high-performance set of scripts
to (i) explore what data have been downloaded, (ii) identify missing data,
(iii) average (or apply other mathematical operations) across experimental
ensembles, (iv) produce both temporal and spatial statistical summaries,
(v) regrid data, and (vi) produce easy-to-work-with graphical and data
Imports: abind (>= 1.4-0), plyr (>= 1.8.1), reshape2 (>= 1.4), foreach
Suggests: ggplot2 (>= 0.9.3), ncdf4 (>= 1.9), ncdf (>= 1.6), doParallel
Authors@R: c( person("Ben", "Bond-Lamberty", role = c("aut")),
person("Kathe", "Todd-Brown", role = c("aut", "cre"), email =

and (v) produce easy-to-work-with graphical and data summaries.
Imports: abind (>= 1.4), dplyr (>= 0.3), reshape2 (>= 1.4), digest
Suggests: ggplot2 (>= 0.9), ncdf4 (>= 1.9), ncdf (>= 1.6), testthat (>=