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: 0.3.0
Depends: R (≥ 3.6.0)
Imports: dataone, dplyr, EML, emld, lubridate, purrr, readr, stats, stringr, tibble, tidyr, XML
Suggests: knitr, rmarkdown, testthat
Published: 2024-07-03
DOI: 10.32614/CRAN.package.metajam
Author: Julien Brun ORCID iD [cre, aut], Irene Steves ORCID iD [aut] (https://github.com/isteves), Mitchell Maier ORCID iD [aut], Kristen Peach ORCID iD [aut], Nicholas Lyon ORCID iD [aut] (https://njlyon0.github.io/), Nathan Hwangbo ORCID iD [ctb], Derek Strong ORCID iD [ctb], Colin Smith ORCID iD [ctb], Regents of the University of California [cph]
Maintainer: Julien Brun <julien.brun at alumni.duke.edu>
BugReports: https://github.com/nceas/metajam/issues
License: Apache License (== 2.0)
URL: https://nceas.github.io/metajam/
NeedsCompilation: no
SystemRequirements: Mac OSX: redland (>= 1.0.14) ; Linux: librdf0 (>= 1.0.14), librdf0-dev (>= 1.0.14)
Language: en-US
Materials: README NEWS
CRAN checks: metajam results

Documentation:

Reference manual: metajam.pdf
Vignettes: Use Case 1 - Processing a Single Dataset from Arctic Data Center
Use Case 2 - Processing a Single Dataset from DataOne
Use Case 3 - Processing Several Datasets
Use Case 4 - Processing a Raster Dataset
Use Case 5 - Downloading Entire Data Packages Using DOIs

Downloads:

Package source: metajam_0.3.0.tar.gz
Windows binaries: r-devel: metajam_0.2.3.zip, r-release: metajam_0.3.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): metajam_0.3.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): metajam_0.3.0.tgz, r-oldrel (x86_64): not available
Old sources: metajam archive

Reverse dependencies:

Reverse suggests: lterdatasampler

Linking:

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