SYNOPSIS

       datalad-uninstall   [-h]   [-d   DATASET]   [-r]   [--nocheck]   [--if-dirty   {fail,save-
              before,ignore}] [PATH [PATH ...]]

DESCRIPTION

       Uninstall subdatasets

       This command can  be  used  to  uninstall  any  number  of  installed  subdataset.   If  a
       to-be-uninstalled  subdataset  contains  presently  installed  subdatasets  itself,  their
       recursive removal has to be enabled explicitly to avoid the command to exit with an error.
       This  command will error if individual files or non-dataset directories are given as input
       (use the drop or remove command depending in the desired  goal),  nor  will  it  uninstall
       top-level  datasets  (i.e.  datasets  that or not a subdataset in another dataset; use the
       remove command for this purpose).

       By default, the availability of at least one remote copy for each currently available file
       in  any  dataset  is  verified.  As  these  checks  could  lead to slow operation (network
       latencies, etc), they can be disabled.

       Any number of paths to process can be given as input. Recursion into subdatasets needs  to
       be  explicitly  enabled, while recursion in subdirectories within a dataset as always done
       automatically. An optional recursion limit is applied relative to each given input path.

       Examples:

       Uninstall a subdataset (undo installation)::

         ~/some/dataset$ datalad uninstall somesubdataset1

OPTIONS

       PATH   path/name of the component to be uninstalled. Constraints: value must be  a  string
              [Default: None]

       -h, --help, --help-np
              show  this  help  message.  --help-np  forcefully  disables  the use of a pager for
              displaying the help message

       -d DATASET, --dataset DATASET
              specify the dataset to perform the operation on. If no dataset is given, an attempt
              is made to identify a dataset based on the PATH given. Constraints: Value must be a
              Dataset or a valid identifier of a Dataset (e.g. a path) [Default: None]

       -r, --recursive
              if set, recurse into potential subdataset. [Default: False]

       --nocheck
              whether to perform checks to assure the configured minimum number  (remote)  source
              for data. Give this option to skip checks. [Default: True]

       --if-dirty {fail, save-before, ignore}
              desired  behavior  if  a  dataset  with  unsaved changes is discovered: 'fail' will
              trigger an error and further processing is aborted;  'save-before'  will  save  all
              changes  prior any further action; 'ignore' let's datalad proceed as if the dataset
              would not have unsaved changes. [Default: 'save-before']

AUTHORS

        datalad is developed by The DataLad Team and Contributors <team@datalad.org>.