Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,036
datasets available to search
ShareScore release 0.9.0
Dataset results
3,036 results for “ct”
FIGURE A5 in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE A5. Scatter plot displaying how beam shift, measured by the apparent growth (scale) of the shell in the final x-ray radiograph relative to the first x-ray radiograph, varies with (1) time of day the scan was performed, and (2) the overall scan time. We found that beam shift decreased throughout the day, likely due to the tube warming up as more scans are run. There was no correlation between overall scan time and the amount of beam shift.
FIGURE A1.2 in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE A1.2. The range of volume measurements for each exposure times when three scans were reconstructed using ten methods. The blue dot represents the simple surface determination used for all shells in this study. The error bars represent the data range for each exposure time.
FIGURE 4. A in Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data
FIGURE 4. A video moving through slices of a pteropods shell scanned at 500 ms exposure time, with five xray radiographs averaged per view and an overall scan time of 75 minutes. There are streak artefacts perpendicular to the shell edge that are likely caused by beam hardening or shell movement during the scan. For video file, see https://palaeo-electronica.org/content/2020/ 2923-investigating-ct-scan-quality.
Рис. 6. Варианты преΑсказанной Αоменной структуры тоΛΛ-поΑобных рецепторов гемоцитов моΛΛюсков Planorbarius corneus. Сокращения: LRR — повтор, богатый Λейцином, LRR TYP — богатый Λейцином повтор типичного Αомена поΑсемейства, LRR CT — богатый Λейцином C-концевой Αомен, LRR NT — богатый Λейцином N-концевой Αомен, TIR — TIR-Αомен in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)
Рис. 6. Варианты преΑсказанной Αоменной структуры тоΛΛ-поΑобных рецепторов гемоцитов моΛΛюсков Planorbarius corneus. Сокращения: LRR — повтор, богатый Λейцином, LRR TYP — богатый Λейцином повтор типичного Αомена поΑсемейства, LRR CT — богатый Λейцином C-концевой Αомен, LRR NT — богатый Λейцином N-концевой Αомен, TIR — TIR-Αомен
Exploiting the potential of neutron imaging measurements for life sciences applications at the neutron spallation source, ISIS, UK - Crabs X-ray CT
<p>A ZIP file containing slices (in TIFF format) from a X-ray CT scan of crabs from the Eocene of Spain. Specimen was scanned on a Nikon Metrology HMX ST 225 system at the Natural History Museum, London, using a 1.0 mm thick copper filter, 225 kV voltage and 180 μA current, giving a tomographic dataset with a voxel size of 46 µm.</p>
XRD-CT from paint fragment
<p>Reconstructed XRD-CT collected at beamline I18 Diamond Light Source on fragment of paint from Rembrandt's Homer.</p>
New software protocols for enabling laboratory based temporal CT
<p>These are the accompanying datasets from the paper "<strong>New software protocols for enabling </strong><strong>laboratory based</strong><strong> temporal CT</strong>". There are two datasets: the germination of a mung bean captured using 54 uninterrupted time-lapse tomograms, and the precipitation of barite in a porous media with continuous golden-ratio projections.</p> <p>The data was collected using software extensions written for Nikon Metrology CT systems using IPC. These software extensions implemented the protocols highlighted in the paper, and can be found in the following GitHub repositories:</p> <p>Uninterrupted Time-Lapse CT: <a href="https://github.com/parmeshgajjar/TemporalCT-TimeLapse.Uninterrupted.git">https://github.com/parmeshgajjar/TemporalCT-TimeLapse.Uninterrupted.git</a></p> <p>Continuous Golden Ratio Acquisition CT: <a href="https://github.com/parmeshgajjar/TemporalCT-ContinuousGR.Acqusition">https://github.com/parmeshgajjar/TemporalCT-ContinuousGR.Acqusition</a></p> <p>The reconstructions were performed using the ASTRA toolbox with MATLAB. The code for this can be found at the following GitHub repository: <a href="https://github.com/jakobsj/TemporalCT-ContinuousGR.Reconstruction">https://github.com/jakobsj/TemporalCT-ContinuousGR.Reconstruction</a></p>
Cyprus. Carved marble fragment in Stamford, CT, USA.
<p>Cyprus. Carved marble fragment in the First Presbyterian Church, 1101 Bedford Street, Stamford, Connecticut. Width: 46.5 mm</p>
Data for Laminography in the Lab: Imaging planar objects using a conventional x-ray CT scanner
<p>This data accompanies the publication</p> <p> </p> <p><strong>Laminography in the Lab: Imaging planar objects using a conventional x-ray CT scanner</strong></p> <p>by Sarah L Fisher, Danny J Holmes, Jakob S Jørgensen, Parmesh Gajjar, Julia Behnsen, William R B Lionheart and Philip J Withers</p> <p>Measurement Science and Technology, Vol. 30, No. 3, 2019</p> <p><a href="https://doi.org/10.1088/1361-6501/aafcae">https://doi.org/10.1088/1361-6501/aafcae</a></p> <p> </p> <p> </p> <p>The computed laminography (CL) and limited angle CT (LACT) data sets for the lego sample of the paper are provided, including both raw projection data and the final reconstructions, a total of 4 files for each of the CL and LACT cases. The files are (for CL)</p> <p>CLProjectionData.zip: zip file with the raw projection images and meta data as produced by the Nikon instrument.</p> <p>CLShadingCorrection.zip: zip file containing dark and flat field images.</p> <p>CLreconstruction.mat: MATLAB mat-file with final CL reconstruction, size 798x798x200 voxels.</p> <p>CLreconstruction.vol: Same CL reconstruction but in a generic binary file that for example simplify the loading of data into Avizo.</p> <p> </p> <p>The same set of files is available for the CT data. The CT data reconstruction has size 798x798x798.</p> <p> </p> <p>Accompanying MATLAB reconstruction code is available from</p> <p><a href="https://github.com/sarahfisher1/Laminography">https://github.com/sarahfisher1/Laminography</a></p>
Micro-CT scans, whole-test meshes, and internal chamber segments of planktonic foraminifera for three-dimensional analysis of inter- and intra-specific variation in ontogenetic growth trajectories
<p> </p> <p>Here, we release tomographic reconstructions of 42 planktonic foraminifera from plankton tows and sediment traps, along with meshes and shrinkwrap meshes the whole tests and internal meshes of segmented chambers. Shrinkwrap meshes are test meshes that have been modified to close all pores and apertures in the test. Additionally, we have provided sample metadata for each specimen and volumetric measurements for the tests and chambers. This dataset was used in a study of ontogenetic growth in planktonic foraminifera and its variation within and among species.</p> <p> The CT-scans and reconstructions were obtained at Naturalis Biodiversity Center in Leiden, the Netherlands with a Zeiss Xradia 520 Versa micro-CT scanner. The meshes and segments were created at Yale University.</p> <ol> <li>Sample_Metadata.csv: Spreadsheet containing information on the sampling localities and dates for all specimens.</li> <li>Scan_data.csv: Spreadsheet containing metadata for all micro-CT scans including current strength, pixel size, voltage, image height, image width, and the number of images taken.</li> <li>Whole_Test_Measurements.csv: Spreadsheet containing measurements of linear dimensions (axis1, axis2, axis 3), total number of chambers, calcite test volume, calcite test surface area, shrinkwrap volumes, and and shrinkwrap surface areas for all specimens.</li> <li>Chamber_Measurements.csv: Spreadsheet containing measurements of individual internal chamber segments, including position from the final chamber (F-chamber), position from the first chamber (Chamber), volume, and surface area.</li> <li>CT_Scan_Stacks.zip: reconstructed micro-CT image stacks (.tif files) for each specimen.</li> <li>Meshes.zip: Meshes of the test calcite, the shrinkwrap, and the internal chamber segments for each specimen (.stl 3D mesh files). Regular test meshes are named with the format “SampleID.stl”, and shrinkwrap meshes are named “SampleID-WRAP.stl”. Chamber meshes are named “SampleID-CH#.stl” and “SampleID-CH#-Wrap.stl”. Chambers are numbered in relation to their position from the final chamber, with “CH1” being the final chamber and “CH2” being the penultimate chamber.</li> </ol> <p>This data is described and analyzed in the manuscript “Three-Dimensional Analysis of Inter- and Intraspecific Variation in Ontogenetic Growth Trajectories of Planktonic Foraminifera” submitted to the journal <em>Marine Micropaleontology.</em></p>
X-ray tomography (CT) image data of tungsten fusion energy heat exchange components
<p>X-ray tomography (CT) image data of tungsten fusion energy heat exchange components.</p> <p>The dataset includes images of four samples:</p> <ul> <li>CCFE_MB_ROI (Culham Centre for Fusion Energy thermal break concept monoblock, region of interest sample)</li> <li>IPP_Wf-Cu (Max-Planck-Institut für Plasmaphysik tungsten fibre / copper matrix coolant pipe)</li> <li>ITER_HHFT_ROI (ITER reference monoblock which has undergone high heat flux testing, region of interest sample)</li> <li>ITER_MB_ROI (ITER reference monoblock, region of interest sample)</li> </ul> <p>This data was used originally for the following publication (please cite if re-using the data) where further details on the data may be obtained:</p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. <a href="https://doi.org/10.1016/j.carbon.2018.10.031">https://doi.org/10.1016/j.carbon.2018.10.031</a></p> <p>Each of the sample directories include reconstructed slices in Tiff format. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). CCFE_MB_ROI also includes raw radiographs; scan & reconstruction parameter settings file.</p> <p>A Neutron CT version of this data is available for comparison: <a href="https://doi.org/10.5281/zenodo.3533418">https://doi.org/10.5281/zenodo.3533418</a></p> <p>Image-based simulation (IBSim) meshes were generated directly from these datasets: <a href="https://doi.org/10.5281/zenodo.3533422">https://doi.org/10.5281/zenodo.3533422</a></p>
Neutron tomography (CT) image data of tungsten fusion energy heat exchange components
<p>Neutron tomography (CT) image data of tungsten fusion energy heat exchange components.</p> <p>The dataset includes three sets of images:</p> <ul> <li>ITER_171T-WA-0002_MB (ITER reference monoblock)</li> <li>CCFE_ThBr_MB (Culham Centre for Fusion Energy thermal break concept monoblock)</li> <li>ROIsamples_Stack (A stack of four region of interest samples*)</li> </ul> <p>The region of interest samples within the stack are as below:</p> <ul> <li>CCFE_ThBr_ROI (Culham Centre for Fusion Energy thermal break concept monoblock)</li> <li>IPP_Wf-Cu_p5_s1 (Max-Planck-Institut für Plasmaphysik tungsten fibre / copper matrix coolant pipe)</li> <li>ITER_HHFT_ROI (ITER reference monoblock which has undergone high heat flux testing)</li> <li>ITER_17IT-WA-0002_ROI (ITER reference monoblock)</li> </ul> <p>This data was used originally for the following publication (please cite if re-using the data) where further details on the data may be obtained:</p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. <a href="https://doi.org/10.1016/j.carbon.2018.10.031">https://doi.org/10.1016/j.carbon.2018.10.031</a></p> <p>Each of the sample directories include reconstructed slices in Tiff format. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads).</p> <p>CCFE_ThBr_ROI and ROIsamples_Stack include raw radiographs; dark and flat field images; scan & reconstruction parameter settings file.</p> <p>ITER_171T-WA-0002_MB includes data relating to the modulation transfer function (MTF) measurement.</p> <p>An X-Ray CT version of the ROI data is available for comparison: <a href="https://doi.org/10.5281/zenodo.3533420">https://doi.org/10.5281/zenodo.3533420</a></p> <p>Image-based simulation (IBSim) meshes were generated directly from these datasets: <a href="https://doi.org/10.5281/zenodo.3533422">https://doi.org/10.5281/zenodo.3533422</a></p>
Fig. 10 in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 10. Comparison of the dorsal view of the preserved cranium of Messapicetus cf. longirostris (MDM-2029) with some stem beaked whales. The dotted ovals indicate the extent of the prenarial basin.
Fig. 7. 3D in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 7. 3D reconstruction resulting from the CT-scan of the ziphiid cetacean Messapicetus cf. longirostris Bianucci, Landini, and Varola, 1992 skull MDM-2029) inside two limestone slabs from the Tortonian of Menorca (Balearic Islands, Spain); in left lateral view (A1), left lateral view without the mandibles (A2), detail of the orbital area (A3).
Fig. 8 in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 8. CT-scan of the ziphiid cetacean Messapicetus cf. longirostris Bianucci, Landini, and Varola, 1992 skull (MDM-2029) inside two limestone slabs from the Tortonian of Menorca (Balearic Islands, Spain). A. Transverse section of the rostrum. B. Dorsal outline of the cranium showing the position of the section. C. Variation of the gray-value density along the transverse section of the rostrum.
Fig. 6. 3D in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 6. 3D reconstruction resulting from the CT-scan of the ziphiid cetacean Messapicetus cf. longirostris Bianucci, Landini, and Varola, 1992 skull (MDM-2029) inside two limestone slabs from the Tortonian of Menorca (Balearic Islands, Spain); in right lateral view (A1), right lateral view without the mandibles (A2), detail of the pterygoid hamuli showing the well-preserved transverse crests (A3).
Fig. 4. 3D in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 4. 3D reconstruction resulting from the CT-scan of the ziphiid cetacean Messapicetus cf. longirostris Bianucci, Landini, and Varola, 1992 skull (MDM-2029) inside two limestone slabs from the Tortonian of Menorca (Balearic Islands, Spain); in anterior view, showing transverse cross sections of the rostrum (A1–A4) made at different distances from the rostrum base. Not to scale.
Fig. 9 in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 9. CT-scan 3D reconstruction of the posterior portion of the left mandible of the ziphiid cetacean Messapicetus cf. longirostris Bianucci, Landini, and Varola, 1992 skull (MDM-2029) inside two limestone slabs from Tortonian of Menorca (Balearic Islands, Spain); in anterior (A1) lateral (A2) posterior (A3), and medial (A4) views.
Fig. 3. 3D in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 3. 3D reconstruction resulting from the CT-scan of the ziphiid cetacean Messapicetus cf. longirostris Bianucci, Landini, and Varola, 1992 skull MDM-2029) inside two limestone slabs from the Tortonian of Menorca (Balearic Islands, Spain), in dorsal (A1) and anterodorsal (A2) views.
Fig. 2 in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 2. The two limestone slabs showing longitudinal cross sections of the Messapicetus cf. longirostris skull (MDM-2029) from the Tortonian of Menorca (Balearic Islands, Spain). A. Surface of slab 1 (A1, top; A2, bottom), details of A2 (A3, A4, explanatory drawing). B. Surface of slab 2 (B1, top; B2, bottom).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.