Comments (7)
Sure, here is the sequence file:
[https://drive.google.com/file/d/1L7c1W7_a7_JzPO_WuW8xt4pvN99o3aPQ/view?usp=sharing](Bruker File)
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its the folder of the sequence, with the pdata folder inside.
Sorry, I thought it was shared with anyone with the link.
Here it is again: https://drive.google.com/file/d/1L7c1W7_a7_JzPO_WuW8xt4pvN99o3aPQ/view?usp=sharing
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It worked, great, thank you very much!
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@egarza Hi! Thank you for reporting the bug.
Could you share with me the image having the issue? Zip compressed file would be the best for me to test.
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@egarza I cannot open the link, could you make a confirmation for my request to access the file? The request should be made with my other Gmail address, '[email protected]'
And just want to make sure the file you are sharing is raw Bruker data having an issue to convert but not a sequence file?
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@egarza Ok! it seems working now. Could you try a new version, 0.3.3rc6?
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great, thanks, let me do that.
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Related Issues (20)
- BIDS - Computation of SliceTiming HOT 2
- automated test in CI: bring them back online HOT 2
- modernize packaging
- add some style guide lines HOT 1
- duplicate "contributing" file
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- use a citation.cff file to keep track of metadata to be ingested by zenodo upon release
- Sourcery refactoring suggestions HOT 1
- consider moving the doc within package repo HOT 1
- Fails conversion with tonii_all HOT 7
- Jupyter notebook tutorial gives FileNotValid error HOT 2
- Convert specific file via CLI HOT 4
- The `--output` parameter cannot control the file name (additional elements get auto-added so you need to concatenate with mv to actually get the filenames you want...) HOT 1
- Bids_helper quits when method file is missing HOT 1
- Upcoming Major Update 0.4.0: Scheduled for Mid May 2024 HOT 1
- Regular Bruker recon tools from raw fid HOT 2
- Compressed Sensing Reconstruction for Undersampled Cartesian Sequences PV360.3.3<
- GUI Unable to open PV7 and PV360 zip files HOT 6
- Streamlining Data Operations in Brkraw: Introducing 'PvScan' and 'PvReco' for Enhanced Raw Data Management. HOT 1
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