Work Description

Title: Computed tomography voxel dataset for UMMZ:fish:247425-Hiodon tergisus-Skull Open Access Deposited

O
Attribute Value
Methodology
  • Specimen UMMZ Fish 247425_Hiodon tergisus_Skull was scanned with a Nikon XT H 225ST uCT system housed in the Department of Earth and Environmental Sciences at the University of Michigan. Scans were collected with the following settings: energy settings, 110 kV, 165 uA; source to object distance, 227.949604034424 mm; source to detector distance, 1114.153 mm; scanned with 3141 projections; voxel size, x = 0.0409189163017213 mm y = 0.0409189163017213 mm z = 0.0409189163017213 mm; slice dimension (in pixels), x = 2000, y = 1835; number of slices, 1769 16-bit TIFF images. Original floating point grey values were scaled to span the unsigned 16-bit integer range using an offset of 866.4619750976562 and a scale factor of 44.45524855327202, where 16output = SCALE * (32input + OFFSET). Additional metadata can be found in the xtekct, ctprofile.xml, and UMMPCombinedMetadata.json files.
Description
  • Reconstructed CT slices for skull of Hiodon tergisus (University of Michigan Museum of Zoology catalog number UMMZ Fish 247425) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
Creator
Depositor
  • mfriedm@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
ORSP grant number
  • F058374
Keyword
Resource type
Last modified
  • 03/04/2024
Published
  • 03/04/2024
DOI
  • https://doi.org/10.7302/5sem-xn70
License
  • Usage of the associated data is restricted. Terms of use as of date of deposit (February 2024) included in data file. See https://myumi.ch/x75jA for current terms, as these may have changed.
To Cite this Work:
CTEES. (2024). Computed tomography voxel dataset for UMMZ:fish:247425-Hiodon tergisus-Skull [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/5sem-xn70

Relationships

This work is not a member of any user collections.

Files (Count: 5; Size: 7.57 GB)

DescriptionString: Reconstructed CT slices for Anterior body of Hiodon tergisus (University of Michigan Museum of Zoology catalog number UMMZ Fish 247425) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
MethodString: Specimen UMMZ Fish 247425_Hiodon tergisus_Anterior body was scanned with a Nikon XT H 225ST uCT system housed in the Department of Earth and Environmental Sciences at the University of Michigan. Scans were collected with the following settings: energy settings, 110 kV, 165 uA; source to object distance, 227.949604034424 mm; source to detector distance, 1114.153 mm; scanned with 3141 projections; voxel size, x = 0.0409189163017213 mm y = 0.0409189163017213 mm z = 0.0409189163017213 mm; slice dimension (in pixels), x = 2000, y = 1835; number of slices, 1769 16-bit TIFF images. Original floating point grey values were scaled to span the unsigned 16-bit integer range using an offset of 866.4619750976562 and a scale factor of 44.45524855327202, where 16output = SCALE * (32input + OFFSET). Additional metadata can be found in the xtekct, ctprofile.xml, and UMMPCombinedMetadata.json files.
License: Usage of the associated data is restricted. The terms of use as of date of metadata creation (2024-02-26 16:07:04.314411) are included in the file _LICENSE.txt. Please see https://lsa.umich.edu/ummz/ct-scanner/digital-data-usage.html for current terms, as these may have changed.

Download All Files (To download individual files, select them in the “Files” panel above)

Total work file size of 7.57 GB may be too large to download directly. Consider using Globus (see below).



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.