Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1078996
MD5	8F2D590FCE576DF1EFE55DE71AB68B4E
PackageDescription	data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-datalad
PackageSection	python
PackageVersion	0.14.0-1
SHA-1	2A694C37B8A62D980811210A6CCF6852E9B44242
SHA-256	F5FA001C17E3CB978DDE1A43E05963DFD8FEB3455C4375D1A9482176828C8C26

Key	Value
FileSize	1130212
MD5	6C167435504F01DF893766E606545431
PackageDescription	data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends.
PackageMaintainer	NeuroDebian Team <team@datalad.org>
PackageName	python3-datalad
PackageSection	python
PackageVersion	0.14.0-1
SHA-1	86E1F77A3799BE0C48BB9194879E539D7D2D930D
SHA-256	28234646FC63030CB4EFCE24DC974AE9CA60D80F3519AA93316825E3DD237184

Key	Value
FileSize	1054116
MD5	062E3FCBED429E2DD192AF080600B0AF
PackageDescription	data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-datalad
PackageSection	python
PackageVersion	0.13.2-1
SHA-1	8F431F78917912DF25EA88C0B1E5C0F90D63E8A8
SHA-256	6D34ECC7D6134A86A9351AB73BFE73133DCF36A45D1633E29B7263EF26283046