Group inference and reporting of neuroimaging studies require that individual’s features are spatially aligned into a common frame where their location can be called standard. To that end, a multiplicity of brain templates with anatomical annotations (i.e., atlases) have been published. However, a centralized resource that allows programmatic access to templates is lacking. TemplateFlow is a modular, version-controlled resource that allows researchers to use templates “off-the-shelf” and share new ones.
- TemplateFlow Naming
- Publishing in TemplateFlow
- Prerequisites to contributing templates to TemplateFlow
- Creating a new template space
- Uploading files to an existing template space
- Library API (application program interface)
0.7.1 (December 9, 2020)¶
Minor release with improvements to the template fetching experience. With thanks to Lea Waller for the contribution.
FIX: Display correct units when downloading templates (#63)
FIX: GitHub Actions build (#64)
ENH: Add option to raise exception on empty
ENH: Ensure templates layout is re-indexed when updated (#59)
0.7.0 - Withdrawn¶
Release 0.7.0 was withdrawn because of inconsistencies in deployment.
0.6.3 (July 06, 2020)¶
Patch release including an updated PyBIDS configuration file for the PyBIDS 0.11.x series.
FIX: Include leading dots in extensions (#56)
0.6.2 (May 09, 2020)¶
Patch release including some minimal improvements to package building and CI.
MAINT: Some additional distribution improvements (#51)
0.6.1 (May 09, 2020)¶
Patch release to generate and distribute wheels.
MAINT: Distribute wheel + Revise CI framework (#49)
0.6.0 (May 1st, 2020)¶
Minor release in preparation of a new CalVer versioning following the lead of fMRIPrep.
This release contains a fair amount of maintenance work to ensure synchronicity with the TemplateFlow Archive (https://github.com/templateflow/templateflow). These maintenance actions drive the development towards establishing a peer-reviewed, lightweight template submission protocol. The release includes an update mechanism, enabling users of the S3-backed mode of operation (default) to update their local Archive structure without reinstalling the client. This feature is enabled by default on import time, to disable it make sure you export
With thanks to Yarik for a datalad-related bug-fix.
With thanks to V. Fonov for contributing with the new
FIX: Provide path to the dataset as
ENH: Run an automatic S3-skeleton update on import by default (#45)
ENH: Update the internal index of TemplateFlow (#40)
ENH: Automatic generation of template citations (#35)
MAINT: Set-up a GitHub action to test installation alternatives (see #23).
MAINT: Migrate to
blackon the whole tree (#41)
MAINT: Transfer the burden of keeping the S3-skeleton updated over to the archive (#39)
0.5.2 (March 20, 2020)¶
Patch release in the 0.5 series, adding a soft brainmask for numerical stability in
floating-point rounding of atlas-based brain-extraction methods using the
0.5.1 (March 20, 2020)¶
Patch of the new 0.5.x series, including a new rodent template
and file fixes for
With thanks to E. MacNicol for contributing the new
MAINT: Drop Python 3.5 (#36)
0.5.0 (March 12, 2020)¶
This release has been removed and should not be used.
Version 0.4.2 (January 28, 2020)¶
Patch release including a bugfix, adding a DataLad pin, and making PyBIDS pin more flexible.
MAINT: Update PyBIDS pin and DataLad pin
FIX: Density key (#31)
Version 0.4.1 (July 22, 2019)¶
First release after a deep revision of the tests and the continuous integration setup. Also includes minor reliability improvements over the previous release and some bugfixes.
MAINT: Testing Automatically update CHANGES after merge (51988f8) (#27)
MAINT: Enable code coverage collection (#25)
MAINT: Switch to a
setup.cfg-style of installation (#24)
FIX: Check and update
$HOMEif needed with every installation (#20)
FIX: Do not merge branches into master when pushing back skell (#19)
FIX: Commit newly generated S3 skeletons back to repo (#17)
extensionentity for selection (#16) @effigies
Version 0.4.0 (July 9, 2019)¶
MAINT: Use PyBIDS 0.9.x (#15) @effigies
Version 0.3.0 (June 4, 2019)¶
Version 0.2.0 (June 4, 2019)¶
ENH: Updated spec to allow several cohorts (
Version 0.1.9 (May 28, 2019)¶
ENH: Added the Schaefer 2018 atlas) to
ENH: Mapped the Schaefer atlas and the Harvard-Oxford atlas into
Version 0.1.8 (May 9, 2019)¶
ENH: Added FSL’s Harvard-Oxford template to
Version 0.1.7 (April 3, 2019)¶
ENH: New release including bugfixes for
Version 0.1.6 (March 29, 2019)¶
ENH: Finish adding
MNI152NLin6Symafter curation of NIfTI volumes and exporting to S3.
Version 0.1.5 (March 29, 2019)¶
ENH: Add volumetric data to the
ENH: Rename the segmentation of subcortical structures to be consistent with the new files.
Version 0.1.4 (March 28, 2019)¶
ENH: New release to include the new
MNI152NLin6Asymtemplate (the default MNI template of FSL).
Version 0.1.3 (March 14, 2019)¶
FIX: Update TemplateFlow skeleton to include
tpl-fsaverage/tpl-fsaverage_dseg.tsv, after TemplateFlow update.
Version 0.1.2 (March 12, 2019)¶
api.get- robuster fetcher algorithm (allows S3 download on DL repos) and better error messages (#10)
Version 0.1.1 (March 12, 2019)¶
FIX: Require environment variable to use DataLad (#8)
Version 0.1.0.post1 (March 05, 2019)¶
ENH: Testing a better
Version 0.1.0 (March 05, 2019)¶
ENH: First minimally functional TemplateFlow client release.
Version 0.0.5.post1 (March 04, 2019)¶
Hotfix release to retrieve correct version when pip installed.
MAINT: Add a
Version 0.0.5 (March 04, 2019)¶
ENH: Datalad-free alternative for TemplateFlow (#7)
ENH: Use a BIDSLayout to index TemplateFlow (#6)
Version 0.0.4 (January 18, 2019)¶
ENH: Add a
Version 0.0.3 (January 16, 2019)¶
api.templates()+ one doctest
Version 0.0.2 (January 16, 2019)¶
ENH: Add one doctest
Version 0.0.1 (January 16, 2019)¶
ENH: First functional release