Package: metajam 0.3.1.9000
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Julien Brun
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.
Authors:
metajam_0.3.1.9000.tar.gz
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metajam_0.3.1.9000.tgz(r-4.5-any)metajam_0.3.1.9000.tgz(r-4.4-any)metajam_0.3.1.9000.tgz(r-4.3-any)
metajam_0.3.1.9000.tar.gz(r-4.5-noble)metajam_0.3.1.9000.tar.gz(r-4.4-noble)
metajam_0.3.1.9000.tgz(r-4.4-emscripten)
metajam.pdf |metajam.html✨
metajam/json (API)
NEWS
# Install 'metajam' in R: |
install.packages('metajam', repos = c('https://dataoneorg.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nceas/metajam/issues
Pkgdown site:https://nceas.github.io
datadata-analysismetadatarepositories
Last updated 6 months agofrom:5e743ab1d8. Checks:8 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 29 2025 |
R-4.5-win | OK | Jan 29 2025 |
R-4.5-mac | OK | Jan 29 2025 |
R-4.5-linux | OK | Jan 29 2025 |
R-4.4-win | OK | Jan 29 2025 |
R-4.4-mac | OK | Jan 29 2025 |
R-4.3-win | OK | Jan 29 2025 |
R-4.3-mac | OK | Jan 29 2025 |
Exports:check_versiondownload_d1_datadownload_d1_data_pkgread_d1_filestabularize_eml
Dependencies:askpassbase64encbitbit64brewbslibcachemcallrclicliprcommonmarkcpp11crayoncurldataonedatapackdescdigestdplyrEMLemldevaluatefansifastmapfontawesomefsgenericsgluehighrhmshtmltoolshttrjqrjquerylibjsonldjsonliteknitrlazyevallifecyclelubridatemagrittrmemoisemimeopensslparsedatepillarpkgbuildpkgconfigpkgloadplyrprettyunitsprocessxprogresspspurrrR6rappdirsRcppreadrredlandrlangrmarkdownroxygen2rprojrootsassstringistringrsystibbletidyrtidyselecttimechangetinytextzdbutf8uuidV8vctrsvroomwithrxfunXMLxml2yamlzip
Use Case 1 - Processing a Single Dataset from Arctic Data Center
Rendered fromuse01_dataset-single-arctic.Rmd
usingknitr::rmarkdown
on Jan 29 2025.Last update: 2024-04-16
Started: 2024-04-16
Use Case 2 - Processing a Single Dataset from DataOne
Rendered fromuse02_dataset-single-dataone.Rmd
usingknitr::rmarkdown
on Jan 29 2025.Last update: 2024-04-16
Started: 2024-04-16
Use Case 3 - Processing Several Datasets
Rendered fromuse03_dataset-batch-processing.Rmd
usingknitr::rmarkdown
on Jan 29 2025.Last update: 2024-07-02
Started: 2024-04-16
Use Case 4 - Processing a Raster Dataset
Rendered fromuse04_reading-raster.Rmd
usingknitr::rmarkdown
on Jan 29 2025.Last update: 2024-04-16
Started: 2024-04-16
Use Case 5 - Downloading Entire Data Packages Using DOIs
Rendered fromuse05_package-download.Rmd
usingknitr::rmarkdown
on Jan 29 2025.Last update: 2024-04-16
Started: 2024-04-16
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Check PID version | check_version |
Download data and metadata from DataONE | download_d1_data |
Download all data and metadata of a data package from DataONE | download_d1_data_pkg |
Read data and metadata based on `download_d1_data()` file structure | read_d1_files |
Get tabular metadata | tabularize_eml |