dipy_fetch

Synopsis

Download files to folder and check their md5 checksums.

• To see all available datasets, please type “dipy_fetch list”.

• To download all datasets, please type “dipy_fetch all”.

Usage

dipy_fetch [OPTIONS] data_names

Input Parameters

• data_names

  One or more dataset names to fetch. Use list to print all available names or all to fetch everything. Available names include (among others): atlas_schaefer_2018, bundle_atlas_hcp842, stanford_hardi, mni_template.

General Options

• --subjects

  Identifiers of the subjects to download. Used only by the HBN & HCP dataset. For example with HBN dataset: –subject NDARAA948VFH NDAREK918EC2 (default: None)

• --include_optional

  Include optional datasets. (default: False)

• --include_afq

  Whether to include pyAFQ derivatives. Used only by the HBN dataset. (default: False)

• --hcp_bucket

  The name of the HCP S3 bucket. (default: hcp-openaccess)

• --hcp_profile_name

  The name of the AWS profile used for access. (default: hcp)

• --hcp_study

  Which HCP study to grab. (default: HCP_1200)

• --hcp_aws_access_key_id

  AWS credentials to HCP AWS S3. Will only be used if profile_name is set to False. (default: None)

• --hcp_aws_secret_access_key

  AWS credentials to HCP AWS S3. Will only be used if profile_name is set to False. (default: None)

Output Options

• --out_dir

  Output directory. (default: current directory)

References

Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.