Description Usage Arguments Details Value Author(s) References Examples
Grabs data as a dataframe or list of dataframes from a Pangaea data repository URI; see: https://www.pangaea.de/
1 |
doi |
DOI of Pangaeae single dataset, or of a collection of datasets.
Expects either just a DOI of the form |
overwrite |
(logical) Ovewrite a file if one is found with the same name |
mssgs |
(logical) print information messages. Default: |
... |
Curl options passed on to crul::verb-GET |
Data files are stored in an operating system appropriate location.
Run pg_cache$cache_path_get()
to get the storage location
on your machine. See pg_cache for more information, including how to
set a different base path for downloaded files.
Some files/datasets require the user to be logged in. For now we just pass on these - that is, give back nothing other than metadata.
One or more items of class pangaea, each with the doi, parent doi
(if many dois within a parent doi), url, citation, path, and data object.
Data object depends on what kind of file it is. For tabular data, we print
the first 10 columns or so; for a zip file we list the files in the zip
(but leave it up to the user to dig unzip and get files from the zip file);
for png files, we point the user to read the file in with png::readPNG()
Naupaka Zimmerman, Scott Chamberlain
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | ## Not run:
# a single file
(res <- pg_data(doi='10.1594/PANGAEA.807580'))
res[[1]]$doi
res[[1]]$citation
res[[1]]$data
res[[1]]$metadata
# another single file
pg_data(doi='10.1594/PANGAEA.807584')
# Many files
(res <- pg_data(doi='10.1594/PANGAEA.761032'))
res[[1]]
res[[2]]
# Manipulating the cache
## list files in the cache
pg_cache$list()
## clear all data
# pg_cache$delete_all()
pg_cache$list()
## clear a single dataset by DOI
pg_data(doi='10.1594/PANGAEA.812093')
pg_cache$list()
path <- grep("PANGAEA.812093", pg_cache$list(), value = TRUE)
pg_cache$delete(path)
pg_cache$list()
# search for datasets, then pass in DOIs
(searchres <- pg_search(query = 'birds', count = 20))
pg_data(searchres$doi[1])
# png file
pg_data(doi = "10.1594/PANGAEA.825428")
# zip file
pg_data(doi = "10.1594/PANGAEA.860500")
# login required
## we skip file download
pg_data("10.1594/PANGAEA.788547")
## End(Not run)
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