datalad install [-h] [-s SOURCE] [-d DATASET] [-g] [-D DESCRIPTION] [-r] [-R LEVELS] [--reckless [auto|ephemeral|shared-...]] [-J NJOBS] [--branch BRANCH] [--version] [PATH ...]
Install a dataset from a (remote) source.
This command creates a local sibling of an existing dataset from a (remote) location identified via a URL or path. Optional recursion into potential subdatasets, and download of all referenced data is supported. The new dataset can be optionally registered in an existing superdataset by identifying it via the DATASET argument (the new dataset’s path needs to be located within the superdataset for that).
It is recommended to provide a brief description to label the dataset’s nature and location, e.g. “Michael’s music on black laptop”. This helps humans to identify data locations in distributed scenarios. By default an identifier comprised of user and machine name, plus path will be generated.
When only partial dataset content shall be obtained, it is recommended to use this command without the get-data flag, followed by a get operation to obtain the desired data.
Power-user info: This command uses git clone, and git annex init to prepare the dataset. Registering to a superdataset is performed via a git submodule add operation in the discovered superdataset.
Install a dataset from GitHub into the current directory:
% datalad install https://github.com/datalad-datasets/longnow-podcasts.git
Install a dataset as a subdataset into the current dataset:
% datalad install -d . \ --source='https://github.com/datalad-datasets/longnow-podcasts.git'
Install a dataset, and get all content right away:
% datalad install --get-data \ -s https://github.com/datalad-datasets/longnow-podcasts.git
Install a dataset with all its subdatasets:
% datalad install -r \ https://github.com/datalad-datasets/longnow-podcasts.git
path/name of the installation target. If no PATH is provided a destination path will be derived from a source URL similar to git clone.
-h, --help, --help-np
show this help message. –help-np forcefully disables the use of a pager for displaying the help message
-s SOURCE, --source SOURCE
URL or local path of the installation source. Constraints: value must be a string or value must be NONE
-d DATASET, --dataset DATASET
specify the dataset to perform the install operation on. If no dataset is given, an attempt is made to identify the dataset in a parent directory of the current working directory and/or the PATH given. Constraints: Value must be a Dataset or a valid identifier of a Dataset (e.g. a path) or value must be NONE
if given, obtain all data content too.
-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 or value must be NONE
if set, recurse into potential subdatasets.
-R LEVELS, --recursion-limit LEVELS
limit recursion into subdatasets to the given number of levels. Constraints: value must be convertible to type ‘int’ or value must be NONE
-J NJOBS, --jobs NJOBS
how many parallel jobs (where possible) to use. “auto” corresponds to the number defined by ‘datalad.runtime.max-annex-jobs’ configuration item NOTE: This option can only parallelize input retrieval (get) and output recording (save). DataLad does NOT parallelize your scripts for you. Constraints: value must be convertible to type ‘int’ or value must be NONE or value must be one of (‘auto’,) [Default: ‘auto’]
Clone source at this branch or tag. This option applies only to the top-level dataset not any subdatasets that may be cloned when installing recursively. Note that if the source is a RIA URL with a version, it takes precedence over this option. Constraints: value must be a string or value must be NONE
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