NAME

       datalad remove - remove components from datasets

SYNOPSIS

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

DESCRIPTION

       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.

   Examples
       Permanently remove a subdataset from a dataset and wipe out the subdataset association too::

        % datalad remove -d <path/to/dataset> <path/to/subds>

       Permanently remove a dataset and all subdatasets::

        % datalad remove -d <path/to/dataset/> -r

       Permanently remove a dataset and all subdatasets even if there are  fewer  than  the  configured  minimum
       number of (remote) sources for data::

        % datalad remove -d <path/to/dataset/> -r --nocheck

OPTIONS

       PATH   path/name of the component to be removed. Constraints: value must be a string

       -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)

       -r, --recursive
              if set, recurse into potential subdataset.

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

       --nosave
              by  default  all modifications to a dataset are immediately saved. Giving this option will disable
              this behavior.

       -m MESSAGE, --message MESSAGE
              a description of the state or the changes made to a dataset. Constraints: value must be a string

       --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']

       --version
              show the module and its version which provides the command

AUTHORS

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