Data repository of the gyroscope collection situated at the University of Stuttgart. The data was collected within the Gyrolog Project (2017-2020) funded by the BMBF as a eHeritage digitisation task (funding no. 01UG1774X ).

The data repository is structured by Dataverses for each object located in the Stuttgart collection. Objects from affiliated collections (Munich and Linz) as well as external objects to enhance the collection are grouped in separated Dataverses.

Furthermore one Dataverse for archival sources contained in the gyroscopic collection can be found.

A user frontend and further information about the objects can be found under Goobi portal.

Information about the digitisation strategy for all objects can be found in the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.

For each object, data consist of one or more of the following:

  • general information collected about the object ("Information about ..." dataset)
  • unsorted pictures taken for each object ("2D Pictures ..." datasets)
  • computer tomographic data for interior view of each objects ("3D CT ..." datasets)
  • photogrammetric data for outside view of objects ("3D Photogrammetric ..." datasets) including 3D photogrammetric models
  • endoscopic data for inside view of objects ("3D Endoscopic ..." datasets)
  • integrated model from fusing photogrametric and CT data ("3D Integrated ..." dataset)
  • CSG (Constructive Solid Geometry) model and other files for animation and smartphone applications ("CSG ..." datasets)

To refer to the whole collection, please use the following citation: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project ‘Gyrolog’", doi: 10.18419/darus-gyrolog, DaRUS.

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141 to 150 of 41,428 Results
Unknown - 521.2 MB - MD5: 571925b5e8e94c399a20a903706154e9
Unknown - 818.2 MB - MD5: cb60c745fcebd493e1de3da0242d2a91
Unknown - 1.7 GB - MD5: bb8ac069aa09fdb1275aef94cb8dee50
Adobe PDF - 230.7 KB - MD5: e758ef3a790218fc8a6cc50317c9abbb
Jul 18, 2022 - 3D CT-Data for KK17/3-09
Hierarchical Data Format - 35.2 GB - MD5: fde70020a0f90c811f854770a7be7727
Data
3D Voxelized volume
Jul 18, 2022 - 3D CT-Data for KK17/2-09
Hierarchical Data Format - 35.2 GB - MD5: 604434f52b4ea027dada016afb8f2c9a
Data
3D Voxelized volume
Jul 18, 2022 - 3D CT-Data for KK17/1-09
Hierarchical Data Format - 25.8 GB - MD5: 14b1451d06ec8ee94057eed958545ccb
Data
3D Voxelized volume
Adobe PDF - 30.1 KB - MD5: b12e7e4ea85b6c31b035d0d8eebe28eb
Jul 18, 2022 - 2D pictures of GO06/01
JPEG Image - 1.3 MB - MD5: e78b1e65c75b7150062e9b58c48ab911
Jul 18, 2022 - 2D pictures of GO06/01
JPEG Image - 1.4 MB - MD5: 02474f835e0ee93e0d3fce2a424075ea
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