Skip to main content

DataLad extension package for neuro/medical imaging

Project description

 ____          _           _                 _
|  _ \   __ _ | |_   __ _ | |      __ _   __| |
| | | | / _` || __| / _` || |     / _` | / _` |
| |_| || (_| || |_ | (_| || |___ | (_| || (_| |
|____/  \__,_| \__| \__,_||_____| \__,_| \__,_|
                                   Neuroimaging

Travis tests status codecov.io Documentation https://www.singularity-hub.org/static/img/hosted-singularity–hub-%23e32929.svg License: MIT GitHub release PyPI version fury.io Average time to resolve an issue Percentage of issues still open

This extension enhances DataLad (http://datalad.org) for working with neuroimaging data and workflows. Please see the extension documentation for a description on additional commands and functionality.

For general information on how to use or contribute to DataLad (and this extension), please see the DataLad website or the main GitHub project page.

Installation

Before you install this package, please make sure that you install a recent version of git-annex. Afterwards, install the latest version of datalad-neuroimaging from PyPi. It is recommended to use a dedicated virtualenv:

# create and enter a new virtual environment (optional)
virtualenv --system-site-packages --python=python3 ~/env/dataladni
. ~/env/dataladni/bin/activate

# install from PyPi
pip install datalad_neuroimaging

There is also a Singularity container available. The latest release version can be obtained by running:

singularity pull shub://datalad/datalad-neuroimaging

Support

The documentation of this project is found here: http://docs.datalad.org/projects/neuroimaging

All bugs, concerns and enhancement requests for this software can be submitted here: https://github.com/datalad/datalad-neuroimaging/issues

If you have a problem or would like to ask a question about how to use DataLad, please submit a question to NeuroStars.org with a datalad tag. NeuroStars.org is a platform similar to StackOverflow but dedicated to neuroinformatics.

All previous DataLad questions are available here: http://neurostars.org/tags/datalad/

Acknowledgements

DataLad development is supported by a US-German collaboration in computational neuroscience (CRCNS) project “DataGit: converging catalogues, warehouses, and deployment logistics into a federated ‘data distribution’” (Halchenko/Hanke), co-funded by the US National Science Foundation (NSF 1429999) and the German Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support is provided by the German federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform. This work is further facilitated by the ReproNim project (NIH 1P41EB019936-01A1).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datalad_neuroimaging-0.2.1.tar.gz (42.0 kB view details)

Uploaded Source

Built Distribution

datalad_neuroimaging-0.2.1-py2.py3-none-any.whl (52.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file datalad_neuroimaging-0.2.1.tar.gz.

File metadata

  • Download URL: datalad_neuroimaging-0.2.1.tar.gz
  • Upload date:
  • Size: 42.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.3rc1

File hashes

Hashes for datalad_neuroimaging-0.2.1.tar.gz
Algorithm Hash digest
SHA256 03ae45d550c046744c6b16dca2404f0ae9c7c3e53ad44ca2ab56f2a15d40c1c4
MD5 2ad8e94ca07fa054c19a801314a9a948
BLAKE2b-256 c1f2944f65ef1d8d05feae7d140396b724b6d5fc1354b2eaf3793b92ba60ba30

See more details on using hashes here.

File details

Details for the file datalad_neuroimaging-0.2.1-py2.py3-none-any.whl.

File metadata

  • Download URL: datalad_neuroimaging-0.2.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 52.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.3rc1

File hashes

Hashes for datalad_neuroimaging-0.2.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 96e0acf1a8d4202907fb85f05a162450827e9e00ce3b2423c5dfe9ed54c75dec
MD5 ac08429de32a0a683f94d8a8bf32624e
BLAKE2b-256 f54a71d256ae3fba7df966350b80fe782927bca92d3651a1b14dfcce0157370f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page