Basic Queries

File data

You may pull the underlying file data for a given dataset by using pull_files. Note, this may result in downloading large datasets.

ds_res.data().pull_files(
  dest,
)

where dest: The destination folder for the files in the dataset.

# Get gridded data adapter.
ds_gadptr = ds_res.data().pull_files('./some/folder/')

# Get gridded data adapter.
ds_gadptr <- ds_res$data()$pull_files("./some/folder/")

Gridded data

If the data is gridded, you can access the gridded data via the gridded data adapter:

# Get gridded data adapter.
ds_gadptr = ds_res.data().gapi()

# Get gridded data adapter.
ds_gadptr <- ds_res$data()$gapi()

Dimensions

You can fetch the dimensions of the underlying grid using the adapter:

print(ds_gadptr.dimensions())

ds_gadptr$dimensions()

Spaces

You can fetch the spaces of the underlying grid using the adapter:

print(ds_gadptr.spaces())

ds_gadptr$spaces()

Variables

You can fetch the variables defined for the underlying grid using the adapter:

print(ds_gadptr.variables())

ds_gadptr$variables()