Brain Image Library (BIL)
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Abstract
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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Creative Commons Attribution-ShareAlike 4.0 International License
Citation
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
Site
Documents
Data Submission: http://www.brainimagelibrary.org/submission.html
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Creative Commons Attribution-ShareAlike 4.0 International License
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Software
Download Page: http://www.brainimagelibrary.org/download.html
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