SYNOPSIS

       datalad-get  [-h] [-s LABEL] [-d PATH] [-r] [--recursion-limit LEVELS] [-n] [-D DESCRIPTION] [--reckless]
              [-J NJOBS] [-v] [PATH [PATH ...]]

DESCRIPTION

       Get any dataset content (files/directories/subdatasets).

       This command only operates on dataset content. To obtain a new independent dataset from some  source  use
       the INSTALL command.

       By default this command operates recursively within a dataset, but not across potential subdatasets, i.e.
       if  a  directory is provided, all files in the directory are obtained. Recursion into subdatasets is sup‐
       ported too. If enabled, relevant subdatasets are detected and installed in order to fulfill a request.

       Known data locations for each requested file are evaluated and data are obtained from some available  lo‐
       cation  (according to git-annex configuration and possibly assigned remote priorities), unless a specific
       source is specified.

       NOTE   Power-user info: This command uses git annex get to fulfill file handles.

OPTIONS

       PATH   path/name of the requested dataset component. The component must already be known to a dataset. To
              add new components to a dataset use the ADD command. 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

       -s LABEL, --source LABEL
              label of the data source to be used to fulfill requests. This can be the name of a dataset sibling
              or another known source. Constraints: value must be a string [Default: None]

       -d PATH, --dataset PATH
              specify  the dataset to perform the add operation on, in which case PATH arguments are interpreted
              as being relative to this dataset. If no dataset is given,  an  attempt  is  made  to  identify  a
              dataset  for  each  input  PATH.  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]

       --recursion-limit LEVELS
              limit recursion into subdataset to the given number of levels. Alternatively, 'existing' will lim‐
              it recursion to subdatasets that already existed on the filesystem at the start of processing, and
              prevent new subdatasets from being obtained recursively. Constraints: value must be convertible to
              type 'int', or value must be one of ('existing',) [Default: None]

       -n, --no-data
              whether to obtain data for all file handles. If disabled, GET operations are  limited  to  dataset
              handles. This option prevents data for file handles from being obtained. [Default: True]

       -D DESCRIPTION, --description DESCRIPTION
              short description to use for a dataset location. Its primary purpose is to help humans to identify
              a dataset copy (e.g., "mike's dataset on lab server"). Note that when a dataset is published, this
              information  becomes  available  on the remote side. Constraints: value must be a string [Default:
              None]

       --reckless
              Set up the dataset to be able to obtain content in the cheapest/fastest possible way, even if this
              poses a potential risk the data integrity (e.g. hardlink files from a local clone of the dataset).
              Use with care, and limit to "read-only" use cases. With this flag the installed  dataset  will  be
              marked as untrusted. [Default: False]

       -J NJOBS, --jobs NJOBS
              how  many  parallel  jobs  (where possible) to use. Constraints: value must be convertible to type
              'int', or value must be one of ('auto',) [Default: None]

       -v, --verbose
              print out more detailed information while executing a command. [Default: False]

AUTHORS

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

datalad-get 0.9.3                                  2018-04-03                                     datalad-get(1)