Provided by: datalad_0.11.6-1ubuntu2_all bug


       datalad remove - remove components from datasets


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


       This command can remove subdatasets  and  paths,  including  non-empty  directories,  from
       datasets.   Removing  a  component  implies  dropping  present  content  and  uninstalling
       associated subdatasets. Subsequently, the component is "unregistered" from the  respective
       dataset. This means that the component is no longer present on the file system.

       By  default,  the availability of at least one remote copy is verified before file content
       is dropped. As these checks could lead to slow operation (network  latencies,  etc),  they
       can be disabled.


       Permanently  remove  a  subdataset  from a dataset and wipe out the subdataset association

         ~/some/dataset$ datalad remove somesubdataset1


       PATH   path/name of the component to be removed.  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]

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

              by default all modifications to a dataset are immediately saved. Giving this option
              will disable this behavior. [Default: True]

       -m MESSAGE, --message MESSAGE
              a description of the state or the changes made to  a  dataset.  Constraints:  value
              must be a string [Default: None]

       --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']


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

                                            2019-08-19                          datalad remove(1)