Result for 0737B79D856543B27B5F2FEB1BBDB9533BDDF16C

Query result

Key Value
FileName./usr/share/doc/python-nibabel-doc/html/devel/scaling.html
FileSize12968
MD5DC9C31B067781FDB8F99599780D25B84
SHA-10737B79D856543B27B5F2FEB1BBDB9533BDDF16C
SHA-256CECAD90F1DF6D1D808008AC7DFB485BA9A03111DC42FC26EA712F1BCFFA40057
SSDEEP192:OfD/Z1UsuKglKONIAQIabbjFlFQqgXLoAdTRaguKgvixjQyq61:OfHUsUKg9g2TPf
TLSHT100422FE5D5B38533057384D2E3EA0F29B4EA841ED0950845E2EC83A89BDDCC9791BD6E
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
FileSize1489516
MD52BA62F9DFDCDCEB96603B45FDC0FAD7E
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
PackageVersion2.3.2-1
SHA-1B6CB600DBF2328AEC3ACC23F74A056CE1040E832
SHA-256795977BF641BEED907BF447EF73DFA296F568E8206ECD531AD0E44B29E87C06D