provenance for neuroimaging data
Project description
provenance for neuroimaging data
See the full online documentation (or pdf) and PyPi package.
To inspect image files, install nibabel,mne and/or pydicom.
A list with all provenance attributes collected can be found here.
Commandline Usage
Look for image files below the current directory, inspect them and store the obtained provenance metadata:
provenance discover .
Run a transformation command and log it as provenance for the new file:
provenance record mcflirt -in t1flip_all_orig -out t1all_reg -refvol 0
Alternatively, log the provenance after running the command:
provenance log 'motion correction' --new fmri-3dmc.nii --parent fmri.nii
Publish provenance of known files for subject ‘John Doe’ as an html file:
provenance report --subject "John Doe" --html
Python API
import niprov
niprov.discover('.')
analysispackage.correctmotion(input='JD-fmri.nii', output='JD-fmri-3dmc.nii')
niprov.log('JD-fmri.nii', 'motion correction', ['JD-fmri-3dmc.nii'])
niprov.record('mcflirt -in t1flip_all_orig -out t1all_reg -refvol 0')
files = niprov.report(forSubject='John Doe')
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
niprov-0.1.post6.tar.gz
(29.5 kB
view details)
File details
Details for the file niprov-0.1.post6.tar.gz
.
File metadata
- Download URL: niprov-0.1.post6.tar.gz
- Upload date:
- Size: 29.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
0f1968b1c39aef5504bb579fa608edfc0543a5fe861e5499c1da0850a679bdf3
|
|
MD5 |
2921918df33284062993e49091da10a4
|
|
BLAKE2b-256 |
a8ecf322b9c1f63fd4f6e84ad5e44c08d34a3215d4cd50b17021a62eb51bd8dc
|