metajam: Easily Download Data and Metadata from 'DataONE'

A set of tools to foster the development of reproducible analytical workflow by simplifying the download of data and metadata from 'DataONE' (<https://www.dataone.org>) and easily importing this information into R.

Version:	0.2.3
Imports:	dataone, dplyr, EML, emld, lubridate, purrr, readr, stats, stringr, tibble, tidyr, rlang
Suggests:	testthat, knitr, rmarkdown, udunits2
Published:	2020-11-03
Author:	Julien Brun [cre, aut], Irene Steves [aut] (https://github.com/isteves), Mitchell Maier [aut], Nathan Hwangbo [ctb], Derek Strong [ctb], Colin Smith [ctb], Kristen Peach [ctb]
Maintainer:	Julien Brun <brun at nceas.ucsb.edu>
BugReports:	https://github.com/nceas/metajam/issues
License:	Apache License (== 2.0)
URL:	https://github.com/nceas/metajam
NeedsCompilation:	no
Materials:	README
CRAN checks:	metajam results

Documentation:

Reference manual:	metajam.pdf
Vignettes:	"Use Case - Processing of stream chemistry data for the LTER Luquillo site" "Use Case - Downloading one dataset using metajam" "Use Case - Downloading entire data packages using metajam" "Use Case - Downloading a raster dataset using metajam"

Downloads:

Package source:	metajam_0.2.3.tar.gz
Windows binaries:	r-devel: metajam_0.2.3.zip, r-release: metajam_0.2.3.zip, r-oldrel: metajam_0.2.3.zip
macOS binaries:	r-release (arm64): metajam_0.2.3.tgz, r-oldrel (arm64): metajam_0.2.3.tgz, r-release (x86_64): metajam_0.2.3.tgz, r-oldrel (x86_64): metajam_0.2.3.tgz

Linking:

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