datalad clone [-h] [-d DATASET] [-D DESCRIPTION] [--reckless [auto|ephemeral|shared-...]] [--version] SOURCE [PATH]
Obtain a dataset (copy) from a URL or local directory
The purpose of this command is to obtain a new clone (copy) of a dataset and place it into a not-yet-existing or empty directory. As such CLONE provides a strict subset of the functionality offered by INSTALL. Only a single dataset can be obtained, and immediate recursive installation of subdatasets is not supported. However, once a (super)dataset is installed via CLONE, any content, including subdatasets can be obtained by a subsequent GET command.
Primary differences over a direct git clone call are 1) the automatic initialization of a dataset annex (pure Git repositories are equally supported); 2) automatic registration of the newly obtained dataset as a subdataset (submodule), if a parent dataset is specified; 3) support for additional resource identifiers (DataLad resource identifiers as used on datasets.datalad.org, and RIA store URLs as used for store.datalad.org - optionally in specific versions as identified by a branch or a tag; see examples); and 4) automatic configurable generation of alternative access URL for common cases (such as appending ‘.git’ to the URL in case the accessing the base URL failed).
In case the clone is registered as a subdataset, the original URL passed to CLONE is recorded in .GITMODULES of the parent dataset in addition to the resolved URL used internally for git-clone. This allows to preserve datalad specific URLs like ria+ssh://… for subsequent calls to GET if the subdataset was locally removed later on.
- handbook:3-001 (http://handbook.datalad.org/symbols)
- More information on Remote Indexed Archive (RIA) stores
Install a dataset from Github into the current directory:
% datalad clone https://github.com/datalad-datasets/longnow-podcasts.git
Install a dataset into a specific directory:
% datalad clone https://github.com/datalad-datasets/longnow-podcasts.git \ myfavpodcasts
Install a dataset as a subdataset into the current dataset:
% datalad clone -d . https://github.com/datalad-datasets/longnow-podcasts.git
Install the main superdataset from datasets.datalad.org:
% datalad clone ///
Install a dataset identified by a literal alias from store.datalad.org:
% datalad clone ria+http://store.datalad.org#~hcp-openaccess
Install a dataset in a specific version as identified by a branch or tag name from store.datalad.org:
% datalad clone ria+http://store.datalad.org#76b6ca66-36b1-11ea-a2e6-f0d5bf7b5561@myidentifier
Install a dataset with group-write access permissions:
% datalad clone http://example.com/dataset --reckless shared-group
URL, DataLad resource identifier, local path or instance of dataset to be cloned. Constraints: value must be a string
path to clone into. 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
-d DATASET, --dataset DATASET¶
(parent) dataset to clone into. If given, the newly cloned dataset is registered as a subdataset of the parent. Also, if given, relative paths are interpreted as being relative to the parent dataset, and not relative to the working directory. Constraints: Value must be a Dataset or a valid identifier of a Dataset (e.g. a path)
-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
show the module and its version which provides the command