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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: 0.3.1
Depends: R (≥ 3.6.0)
Imports: dataone, dplyr, EML, emld, lubridate, purrr, readr, stats, stringr, tibble, tidyr, XML
Suggests: knitr, rmarkdown, testthat
Published: 2024-08-16
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/, https://github.com/NCEAS/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 (source, R code)
Use Case 2 - Processing a Single Dataset from DataOne (source, R code)
Use Case 3 - Processing Several Datasets (source, R code)
Use Case 4 - Processing a Raster Dataset (source, R code)
Use Case 5 - Downloading Entire Data Packages Using DOIs (source, R code)

Downloads:

Package source: metajam_0.3.1.tar.gz
Windows binaries: r-devel: metajam_0.3.1.zip, r-release: metajam_0.3.1.zip, r-oldrel: metajam_0.3.1.zip
macOS binaries: r-release (arm64): metajam_0.3.1.tgz, r-oldrel (arm64): metajam_0.3.1.tgz, r-release (x86_64): metajam_0.3.1.tgz, r-oldrel (x86_64): metajam_0.3.1.tgz
Old sources: metajam archive

Reverse dependencies:

Reverse suggests: lterdatasampler

Linking:

Please use the canonical form https://CRAN.R-project.org/package=metajam to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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