https://github.com/templateflow/templateflow

The TemplateFlow Archive - A DataLad super-dataset
https://github.com/templateflow/templateflow

brain-imaging mri-brain neuroimaging

Last synced: 1 day ago
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The TemplateFlow Archive - A DataLad super-dataset

• Host: GitHub
• URL: https://github.com/templateflow/templateflow
• Owner: templateflow
• Created: 2018-10-17T03:18:10.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-04-15T09:57:26.000Z (7 months ago)
• Last Synced: 2024-10-14T11:38:06.995Z (about 1 month ago)
• Topics: brain-imaging, mri-brain, neuroimaging
• Homepage:
• Size: 46.4 MB
• Stars: 72
• Watchers: 9
• Forks: 14
• Open Issues: 49
• Metadata Files:
  • Readme: README.md

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README

        
## *TemplateFlow Archive*

[![RRID:SCR_021876](https://img.shields.io/badge/RRID-SCR__021876-blue)](https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_021876/resolver?q=templateflow&l=templateflow)

[![Update Archive](https://github.com/templateflow/templateflow/actions/workflows/build-skeleton.yml/badge.svg)](https://github.com/templateflow/templateflow/actions/workflows/build-skeleton.yml)

This repository corresponds to the [DataLad](https://datalad.org) super-dataset of the *TemplateFlow* infrastructure.

Therefore, this repository indexes actual template datasets (Git repositories), that are linked as Git submodules.

This repository is the right place to send issues affecting the whole infrastructure. It is automatically managed via GitHub Actions.

### About

Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows and are the foundation for reporting standardized results.

The choice of such references —i.e., *templates*— and atlases is one relevant source of methodological variability across studies, which has recently been brought to attention as an important challenge to reproducibility in neuroscience.

*TemplateFlow* is a publicly available framework for human and nonhuman brain models.

The framework combines an open database with software for access, management, and vetting, allowing scientists to distribute their resources under FAIR —findable, accessible, interoperable, reusable— principles.

*TemplateFlow* supports a multifaceted insight into brains across species, and enables multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species, thereby contributing to increasing the reliability of neuroimaging results.

Please visit www.templateflow.org for a more comprehensive description of this project. News and some discussions take place at [the Nipy discourse platform](https://nipy.discourse.group/c/nipreps/9).

### Vision

The rationale behind *TemplateFlow* and how we envision it as a fundamental instrument to neuroimaging studies is presented in our preprint:

> Ciric R. et al., 2021. doi:[10.1101/2021.02.10.430678](https://doi.org/10.1101/2021.02.10.430678)

### Acknowledgments

This work is steered and maintained by the [NiPreps Community](https://www.nipreps.org).

The development of this framework is supported the NIMH (RF1MH121867, RAP, OE).

Thanks to the [DataLad](https://datalad.org) developers, as we rely on their wonderful tool for the management of the *TemplateFlow Archive*.