Result for 0339BE7BD23043BCAF8A36109D61D72A4590E0FF

Query result

Key Value
FileName./usr/share/doc/python-nibabel-doc/html/reference/nibabel.minc2.html
FileSize20453
MD5DFE46C9AC99EEC30BD690C9FFDFF445D
SHA-10339BE7BD23043BCAF8A36109D61D72A4590E0FF
SHA-25669F7CA3B44C276D0FAC40377542083F4323C4A3462CD2796DB1A8513BA799DA1
SSDEEP384:EHfHMni+/jhs3L+U8ACrYvflfcx1XrT1eRhL1XrT1eRhln:EHfsJhDrYe1rTcRh5rTcRhp
TLSHT1B6923411E4E24A3389239DDAE3FA1F35B5DF405AF1001844B5FC936D939ADD1FA2271A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize2971692
MD5A8DBBF8DCACE60C9C3766A1879CB4B8D
PackageDescriptiondocumentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format.
PackageMaintainerNeuroDebian Team <team@neuro.debian.net>
PackageNamepython-nibabel-doc
PackageSectiondoc
PackageVersion2.1.0-1
SHA-145B7EF550A920D473B58B7B06BB9B70B0AD8D4EA
SHA-256EA0C9B1D8CD49321451DC543E2BD9DDDB979E4F45639FD10CD1338CFDCCFA462