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 ORCID iD [cre, aut], Irene Steves ORCID iD [aut] (https://github.com/isteves), Mitchell Maier ORCID iD [aut], Nathan Hwangbo ORCID iD [ctb], Derek Strong ORCID iD [ctb], Colin Smith ORCID iD [ctb], Kristen Peach ORCID iD [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

Downloads:

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"
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: metajam_0.2.3.tgz, r-oldrel: metajam_0.2.3.tgz

Linking:

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