metajam: Easily Download Data and Metadata from 'DataONE' (original) (raw)
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:
Published:
2024-08-16
DOI:
Author:
Julien Brun [cre, aut], Irene Steves
[aut] (https://github.com/isteves), Mitchell Maier
[aut], Kristen Peach
[aut], Nicholas Lyon
[aut] (https://njlyon0.github.io/), Nathan Hwangbo
[ctb], Derek Strong
[ctb], Colin Smith
[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:
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:
CRAN checks: