Skip to main content

TemplateFlow Python Client - TemplateFlow is the Zone of neuroimaging templates.

Project description

Zenodo preprint CircleCI Build Status Pypi

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.

Publishing resources in the TemplateFlow Archive

Please check the Contributing section of the TemplateFlow website.

License information

TemplateFlow adheres to the general licensing guidelines of the NiPreps framework.

License

Copyright (c) 2021, the NiPreps Developers.

The TemplateFlow Python Client is licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Acknowledgements

This work is steered and maintained by the NiPreps Community. The development of this resource was supported by the Laura and John Arnold Foundation (RAP and KJG), the NIBIB (R01EB020740, SSG; 1P41EB019936-01A1SSG, YOH), the NIMH (RF1MH121867, RAP, OE; R24MH114705 and R24MH117179, RAP; 1RF1MH121885 SSG), NINDS (U01NS103780, RAP), and NSF (CRCNS 1912266, YOH). OE acknowledges financial support from the SNSF Ambizione project “Uncovering the interplay of structure, function, and dynamics of brain connectivity using MRI” (grant number PZ00P2_185872).

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

templateflow-24.2.2.tar.gz (2.1 MB view details)

Uploaded Source

Built Distribution

templateflow-24.2.2-py3-none-any.whl (688.8 kB view details)

Uploaded Python 3

File details

Details for the file templateflow-24.2.2.tar.gz.

File metadata

  • Download URL: templateflow-24.2.2.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for templateflow-24.2.2.tar.gz
Algorithm Hash digest
SHA256 6b5ec6a566b4e21d0db8588fef1aa8c491c542e05d9433054100445a4c2c9cd0
MD5 328308512ce9c8318c4a4b470b4dc2df
BLAKE2b-256 cf13108e001e09b243ac7593c8caaa4c21e0f6551609ffc444f27a4b221bfb96

See more details on using hashes here.

File details

Details for the file templateflow-24.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for templateflow-24.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ca295ccc91e1435b226823e423a2b56e1ee4c5d02dbc1fc4d8bcd159c8586101
MD5 2b3949a869cd65973b6866114e3f72ab
BLAKE2b-256 df0e683b39083bc22c1f3a0237568d35453e2582cec33f6706999b7783f9dece

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