The Brain Image Library (BIL) is a national public resource enabling researchers to deposit, analyze, mine, share and interact with large brain image datasets. BIL encompasses the deposition of datasets, the integration of datasets into a searchable web-accessible system, the redistribution of datasets, and a computational enclave to allow researchers to process datasets in-place and share restricted and pre-release datasets.

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Sean Deitrich, Jacob Czech, Alexander Ropelewski, Arthur W. Wetzel, Greg Hood, Derek Simmel, Marcel Bruchez, Simon C. Watkins, and Alan M. Watson. 2018. Applying iRODS to the Brain Image Library. In Proceedings of the Practice and Experience on Advanced Research Computing (PEARC '18). ACM, New York, NY, USA, Article 79, 4 pages. DOI: https://doi.org/10.1145/3219104.3229266

bil-support@psc.edu

http://www.brainimagelibrary.org

Data Submission: http://www.brainimagelibrary.org/submission.html

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NIH

Download Page: http://www.brainimagelibrary.org/download.html

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Researchers should cite this work as follows:

• (2024), "Brain Image Library (BIL)," https://sciencegateways.org/resources/brainimagelibrarybil.

  BibTex | EndNote

1. BIL
2. brain archive
3. brain image datasets