Use argo_info() to extract scalar variables and global attributes
from a vector of Argo NetCDF files. Use argo_read_info() to extract
variables from a previously-downloaded Argo NetCDF file.
argo_info(path, download = NULL, quiet = NA)A path relative to the root directory of
argo_mirror() or argo_cache_dir(). This value can also
be a data.frame with a file column (e.g., a global index as
returned by argo_global_meta() and others).
A logical vector indicating whether or not
a file should be downloaded. Defaults to the value of
argo_should_download(), which is TRUE for files that
do not exist in the cache.
Use FALSE to show which files are downloaded and for more
verbose error messages.
A tibble::tibble() with one row per file. Columns containing
global attribute information are prefixed with att_ to differentiate
them from variables with zero dimensions.
with_argo_example_cache({
argo_info("dac/csio/2900313/profiles/D2900313_000.nc")
})
#> Extracting from 1 file
#> # A tibble: 1 × 16
#> file data_type format_version handbook_version reference_date_time
#> <chr> <chr> <chr> <chr> <dttm>
#> 1 csio/2900313/pr… Argo pro… 3.1 1.2 1950-01-01 00:00:00
#> # … with 11 more variables: date_creation <dttm>, date_update <dttm>,
#> # att_title <chr>, att_institution <chr>, att_source <chr>,
#> # att_history <chr>, att_references <chr>, att_comment <chr>,
#> # att_user_manual_version <chr>, att_conventions <chr>, att_featuretype <chr>