Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	24836
MD5	F1D90AFBBF0B124D2C081F715474F154
PackageDescription	Surface X-ray diffraction 2D detector data reduction BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a two-dimensional X-ray detector. The intensity of each pixel of a two-dimensional detector is projected onto a three-dimensional grid in reciprocal-lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution data sets and results in a significant reduction of the size of the data set. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	binoculars
PackageSection	python
PackageVersion	0.0.4-1
SHA-1	9E785678C9E7FA7C819B47A393CFCD8E517433F0
SHA-256	6B53CAB0129B0B40C6A0EAA505BB02A7C2BA321695BA0913163494FF50C2D2CB

Key	Value
FileSize	26388
MD5	5CC539F6EF5EA8CB2D33583D83CB09AF
PackageDescription	Surface X-ray diffraction 2D detector data reduction BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a two-dimensional X-ray detector. The intensity of each pixel of a two-dimensional detector is projected onto a three-dimensional grid in reciprocal-lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution data sets and results in a significant reduction of the size of the data set. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	binoculars
PackageSection	python
PackageVersion	0.0.6-1
SHA-1	879BDD02BDA573F3A786DB4B8BC083436194F5F6
SHA-256	744E415C3C4A2BC2EE254BFB62A418D39334A45B50B40AF398F5B96E09D02C15

Key	Value
FileSize	27004
MD5	F8A7CD77FE94B4FC7903111F900EEA92
PackageDescription	Surface X-ray diffraction 2D detector data reduction BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a two-dimensional X-ray detector. The intensity of each pixel of a two-dimensional detector is projected onto a three-dimensional grid in reciprocal-lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution data sets and results in a significant reduction of the size of the data set. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	binoculars
PackageSection	python
PackageVersion	0.0.6-1
SHA-1	9E29F04931907BD5E962F5F714553FF7668DA38E
SHA-256	F35A08370E8E938C1E51678030A7BDCC8273B5694E1715FFC292E6CCD2F9810E

Key	Value
FileSize	27228
MD5	01CB5ACFEC4D1C69EAECC505505748C0
PackageDescription	Surface X-ray diffraction 2D detector data reduction BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a two-dimensional X-ray detector. The intensity of each pixel of a two-dimensional detector is projected onto a three-dimensional grid in reciprocal-lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution data sets and results in a significant reduction of the size of the data set. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
PackageMaintainer	Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
PackageName	binoculars
PackageSection	python
PackageVersion	0.0.10-1
SHA-1	03AA0FFB8AAFA7A53E01CD06A608B1FF57F72792
SHA-256	145E73CF457A3074A35D655D0DAE268FB6676E9A919ADC29A6B69670E651C232

Key	Value
FileSize	27380
MD5	74A8BC26163D722F8FC82DC0B957B7EB
PackageDescription	Surface X-ray diffraction 2D detector data reduction BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a two-dimensional X-ray detector. The intensity of each pixel of a two-dimensional detector is projected onto a three-dimensional grid in reciprocal-lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution data sets and results in a significant reduction of the size of the data set. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
PackageMaintainer	Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
PackageName	binoculars
PackageSection	python
PackageVersion	0.0.13-1
SHA-1	98F86914415FC425EB89EDA7E938015F2F9ECD31
SHA-256	668D2A98CCB89A60B31752EE6C809DFDD454C48ACBC3FA1C883408450D2F309C

Key	Value
FileSize	27324
MD5	A747AFB3D92E54E6BF56D9EDE0FCC409
PackageDescription	Surface X-ray diffraction 2D detector data reduction BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a two-dimensional X-ray detector. The intensity of each pixel of a two-dimensional detector is projected onto a three-dimensional grid in reciprocal-lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution data sets and results in a significant reduction of the size of the data set. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
PackageMaintainer	Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
PackageName	binoculars
PackageSection	python
PackageVersion	0.0.11-1
SHA-1	F33AB45AF5C02476EA03B2A261181DF5D78EACF8
SHA-256	EE771B29DC181989DFE0A6A74C491728B03D706C770492609C2620D38B7D1920

Key	Value
FileSize	25168
MD5	DC7A2CD490DC28B2B022FA2DE81512E1
PackageDescription	Surface X-ray diffraction 2D detector data reduction BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a two-dimensional X-ray detector. The intensity of each pixel of a two-dimensional detector is projected onto a three-dimensional grid in reciprocal-lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution data sets and results in a significant reduction of the size of the data set. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	binoculars
PackageSection	python
PackageVersion	0.0.4-1
SHA-1	0909BA2227BE399C8E8792D036FB86A57580E6EF
SHA-256	6D7B1494A41372D40711104EBCFB449106B71BB3EE20263D74D5404D789133C2