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243 results for “X-ray tomography”
Cryo soft X-ray tomography of 5 microns thick slab extracted from C. elegans midbody region
<p>Samples of C. elegans <span>larvae of strain DM8005 </span>were high pressure frozen using the waffle method. Multiple <span>roughly </span>5 micron thick slabs spanning <span>an L2 larva</span> were extracted using <span>the Serial Lift-Out</span> technique, and placed on rectangular <span>mesh </span>grids. Soft X-ray tomography was performed on individual slabs using the SXT-100 soft x-ray microscope at SiriusXT. The data reveals label free internal structure of fully hydrated C. elegans tissue, annotating the worm volume and adding context to cryo electron tomography data. </p> <p>SXT data was acquired from -50° to +53° in 1° steps and reconstructed using Weighted Back Projection. A 32 nm objective zone plate was used. Data pixel size is 29 nm. </p>
Cryo soft X-ray tomography of 5 microns thick slab extracted from C. elegans anterior region
<p>Samples of C. elegans <span>larvae of strain DM8005 </span>were high pressure frozen using the waffle method. Multiple <span>roughly </span>5 micron thick slabs spanning <span>an L2 larva</span> were extracted using <span>the Serial Lift-Out</span> technique, and placed on rectangular <span>mesh </span>grids. Soft X-ray tomography was performed on individual slabs using the SXT-100 soft x-ray microscope at SiriusXT. The data reveals label free internal structure of fully hydrated C. elegans tissue, annotating the worm volume and adding context to cryo electron tomography data. </p> <p>SXT data was acquired from -50° to +53° in 1° steps and reconstructed using Weighted Back Projection. A 32 nm objective zone plate was used. Data pixel size is 29 nm. </p>
X-Rays micro-tomography of 54 Egyptian predynastic ceramic vessels from the MAN (Musée d'Archéologie Nationale-Domaine national du château de Saint-Germain-en-Laye, France) made in the frame of the project TECHNOPREGYPT 2021/43/P/HS3/03262. STACK DATA
<p><span>54 complete pots and sherds from the collection of the <span><span>Musée d’Archéologie Nationale-Domaine national du château de Saint-Germain-en-Laye, France, were scanned with X-Rays microtomography (CT-Scan) to carry out the technological analysis of the samples. The aim was to be able to see the internal structure of the ceramic vessels to reconstruct the manufacturing process. </span></span></span></p> <p><span>The scans are part of the project </span><span>TECHNOPREGYPT</span><em><span> <span>Ceramic technology and the socio-political environment of Predynastic Egypt</span></span></em><span><span> </span></span><span><span>2021/43/P/HS3/03262 directed by dr Jade BAJEOT. </span></span></p> <p><a title="TECHNOPREGYPT website" href="https://technopregypt.iksio.pan.pl/index.php/about-the-project"><span><span>TECHNOPREGYPT website</span></span></a></p> <p> </p> <p><strong>Funding</strong></p> <p><span>This research was led at the Institute of Mediterranean and Oriental Cultures, Polish Academy of Sciences and was </span><span>co-funded by the Polish National Science Centre and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 945339.</span><strong><span> </span></strong><span>For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.</span></p>
Pultruded carbon fiber profiles - 3D x-ray tomography data-sets for two different pultruded profiles
<p>3D X-ray scan on Zeiss Xradia 520</p> <table> <tbody> <tr> <td> <table> <tbody> <tr> <td> </td> <td>A1</td> <td>A2</td> <td>A2S</td> <td>B1</td> <td>B1S</td> <td>B2</td> <td>B3</td> </tr> <tr> <td>Scanning Voxel size [μm]</td> <td>1.9767</td> <td>1.97</td> <td>1.9731</td> <td>1.9751</td> <td>1.9753</td> <td>1.9771</td> <td>1.9752</td> </tr> <tr> <td>FoV: (x; y; z) [mm]</td> <td>2.0x2.0</td> <td>2.0x2.0</td> <td>2.0x2.0</td> <td>2.0x2.0</td> <td>2.0x2.0</td> <td>2.0x2.0</td> <td>2.0x2.0</td> </tr> <tr> <td>Accelerating Voltage [kV]</td> <td>30</td> <td>30</td> <td>30</td> <td>30</td> <td>30</td> <td>30</td> <td>30</td> </tr> <tr> <td>Power [W]</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> </tr> <tr> <td>Filter</td> <td>Air</td> <td>LE1</td> <td>LE1</td> <td>LE1</td> <td>LE1</td> <td>Air</td> <td>LE1</td> </tr> <tr> <td>Optical magnification</td> <td>4x</td> <td>4x</td> <td>4x</td> <td>4x</td> <td>4x</td> <td>4x</td> <td>4x</td> </tr> <tr> <td>Detector to sample distance [mm]</td> <td>25.5</td> <td>25.52</td> <td>26.82</td> <td>25.4</td> <td>26.75</td> <td>25.5</td> <td>25.8</td> </tr> <tr> <td>Source to sample distance [mm] </td> <td>10.6</td> <td>10.61</td> <td>11.11</td> <td>10.5</td> <td>11.1</td> <td>10.6</td> <td>10.7</td> </tr> <tr> <td>Exposure time [s]</td> <td>15</td> <td>18</td> <td>20</td> <td>18</td> <td>18</td> <td>15</td> <td>18</td> </tr> <tr> <td>No. of projections</td> <td>5201</td> <td>5201</td> <td>5201</td> <td>5201</td> <td>5201</td> <td>5201</td> <td>5201</td> </tr> <tr> <td>Rotation</td> <td>360</td> <td>360</td> <td>360</td> <td>360</td> <td>360</td> <td>360</td> <td>360</td> </tr> <tr> <td>Binning</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> </tr> <tr> <td>Total scanning time [h]</td> <td>26</td> <td>33</td> <td>33</td> <td>32</td> <td>32</td> <td>26</td> <td>29</td> </tr> <tr> <td>File-size [GB]</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> </tr> </tbody> </table> </td> </tr> </tbody> </table>
Example data for "Calibration of X-ray computed tomography for surface topography measurement using metrological characteristics"
<p>Example raw data used to create figures during the conference paper "<a href="https://www.euspen.eu/knowledge-base/ICE21165.pdf"><em>Calibration of X-ray computed tomography for surface topography measurement using metrological characteristics</em></a>", presented at euspen’s 21st International Conference & Exhibition 2020</p> <p>Data in the ".datx" format are acquired using a ZYGO NexView NX2 coherence scanning interferometer.</p> <p>Data in the ".stl" format are acquired using a Nikon MCT 225 X-ray computed tomography instrument.</p>
The scale of a Martian hydrothermal system explored using combined neutron and X-ray tomography
<p>Neutron and X-ray tomography data of MIL 03346,230 and MIL 03346,231</p> <p> </p> <p>Neutron data was acquired at the Institut Laue-Langevin, https://doi.ill.fr/10.5291/ILL-DATA.UGA-480 79 </p> <p>X-ray data was acquired at the 4D Imaging Lab at Lund University, Sweden</p>
X-ray computed tomography aided engineering approach for non-crimp fabric reinforced composites [Data set]
<p>The finite element models behind the publication</p> <p>Auenhammer, R.M., Jeppesen, N., Mikkelsen, L.P., Dahl, V.A., Blinzler, B.J., Asp, L.E. Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions, <em>Composites Science and Technology, </em><strong>224</strong>, 109458, <a href="https://doi.org/10.1016/j.compscitech.2022.109458">https://doi.org/10.1016/j.compscitech.2022.109458</a>, 2022. </p> <p>The x-ray scan data which the model is based on can be found in the following publication:</p> <p>Jeppesen, N., V.A. Dahl, A.N. Christensen, A.B. Dahl, L.P. Mikkelsen, Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor. IOP Conf. Ser.: Mater. Sci. Eng. 942, 012037, <a href="https://doi.org/10.1088/1757-899X/942/1/012037">https://doi.org/10.1088/1757-899X/942/1/012037</a> 2020</p> <p>and data-set</p> <p>Jeppesen N, Dahl V A, Christensen A N, Dahl A B and Mikkelsen L P 2020 Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor [data set] Zenodo. <a href="http://dx.doi.org/10.5281/zenodo.3877522">http://dx.doi.org/10.5281/zenodo.3877522.</a></p> <p> </p>
Data and example reconstruction code for "Investigating the missing wedge problem in small-angle x-ray scattering tensor tomography across real and reciprocal space"
<p>Data sets and example code for the paper "Investigating the missing wedge problem in small-angle x-ray scattering tensor tomography across real and reciprocal space".</p> <p> </p> <p>Requires the software Mumott, see: https://doi.org/10.5281/zenodo.7798530</p>
Ex-situ X-ray computed tomography data from two regions of non-crimp fabric based fibre composite under fatigue loading
<p>Ex-situ X-ray CT fatigue testing data published with data in brief: </p> <p>Jespersen, K. M., Glud, J. A., Zangenberg, J., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). <em>Ex-situ X-ray computed tomography, tension clamp and in-situ transilluminated white light imaging data of non-crimp fabric based fibre composite under fatigue loading. Data in Brief.</em></p> <p>as a part of the below journal paper.</p> <p>Jespersen, K. M., Glud, J. A., Zangenberg, J., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). Uncovering the fatigue damage initiation and progression in uni-directional non-crimp fabric reinforced polyester composite. Composites Part A.</p> <p>If using the data, please refer to one of the two.</p>
Ptychographic X-ray computed tomography data for three Portland cement pastes
<p>Mortars and concretes are ubiquitous materials with very complex hierarchical microstructures. To fully understand their main properties and to decrease their CO<sub>2</sub> footprints, a sound description of their (spatially-resolved) mineralogy is compulsory. Developing this knowledge is very challenging as about half of the volume of hydrated cement is a nanocrystalline component, calcium-silicate-hydrate (C-S-H gel). Furthermore, other poorly crystalline phases (e.g. iron-siliceous hydrogarnet or silica oxide) may coexist which are even more difficult to characterise. Traditional spatially-resolved techniques like electron microscopies involve complex sample preparation steps that often lead to artefacts (e.g. dehydration and microstructural changes). Here, we have used synchrotron ptychographic tomography for obtaining spatially-resolved information on three unaltered representative samples: neat Portland paste, Portland-calcite and Portland-fly ash blend pastes with spatial resolution below 100 nm in samples of up to 5×10<sup>4</sup> mm<sup>3</sup> of volume. For the neat Portland paste, the ptychotomographic study gave densities of 2.11 and 2.52 gcm<sup>-3</sup> and contents of 41.1 and 6.4 vol% for nanocrystalline C-S-H gel and poorly crystalline iron-siliceous hydrogarnet, respectively. Furthermore, the spatially-resolved volumetric mass density information has allowed to characterise inner product and outer product C-S-H gels. The average density of inner product C-S-H is smaller than that of outer product and its variability larger. Full characterisation of the pastes, including segmentation of the different components, is reported and the contents are compared with the results obtained by thermodynamical modelling.</p> <p> </p> <p> </p> <p> </p> <p>Ptychographic X-ray computed tomography provides 3D electron mass density and attenuation coefficient distributions of unaltered cement pastes with an isotropic resolution below 100 nm. This imaging technique allows quantitatively distinguishing between different components with very similar absorption contrast.</p> <p>Samples were measured at the cSAXS beamline: i) a neat Portland Cement (PC); ii) a PC-CC blend: 80 wt% of PC and 20 wt% of CaCO<sub>3</sub>, and iii) a PC-FA blend: 70 wt% of PC and 30 wt% of fly ash. The main aim of this study is to have a better insight of the microstructure of the amorphous/nanocrystalline gels with submicrometer spatial resolution. It is worth noting that it is possible to determine the gel mass density and water content within the attained 3D resolution (about 100 nm).</p> <p>Here, we focused on the spatial distribution of the different components and in the variation of the electron density values which are very related to the mass density values. Special attention is paid to the density values of the amorphous (or nanocrystalline) components. The electron and mass density values of the C-S-H gel for three pastes are thoroughly analyzed. The density values range from 2.05-2.10 g·cm<sup>-3</sup> for high density C-S-H gel for neat PC and PC-CC pastes to 1.80 g<sup>.</sup>cm<sup>-3</sup> for low density C-S-H gel in PC-FA paste. The density value of poorly crystalline iron-siliceous hydrogarnet component, r=2.52 g·cm<sup>-3</sup>, has also been determined.</p> <p>A summary of our ongoing research focused on the analyses of cement pastes by synchrotron PXCT is reported and discussed.</p> <p> </p> <p> </p> <p> </p> <p><strong>PC sample:</strong></p> <p>tomo_beta_S02536_to_S03341_Hann_freqscl_0.35_0xxx</p> <p>tomo_delta_S02536_to_S03341_Hann_freqscl_1.00_0xxx</p> <p> </p> <p><strong>PC-CC sample:</strong></p> <p>tomo_beta_S04692_to_S06001_Hann_freqscl_0.35_0xxx</p> <p>tomo_delta_S04692_to_S06001_Hann_freqscl_1.00_0xxx</p> <p> </p> <p><strong>PC-FA sample:</strong></p> <p>tomo_beta_S03351_to_S04661_Hann_freqscl_0.35_0xxx</p> <p>tomo_delta_S03351_to_S04661_Hann_freqscl_1.00_0xxx</p> <p> </p> <p> </p>
X-ray computed tomography reveals that grain protrusion controls entrainment shear stress for entrainment of fluvial gravels: Dataset
<p>This is the dataset that accompanies a paper in Geology:</p> <p>Hodge RA, Voepel H, Leyland J, Sear DA, Ahmed S (2020). X-ray computed tomography reveals that grain protrusion controls entrainment shear stress for entrainment of fluvial gravels. Geology, 48(2), 149-153.</p> <p>The aim of this work was to understand how the properties of a sediment grain in a river bed affect the forces required to entrain that grain. This dataset presents the properties of 1055 sediment grains, which were meaured using CT scanning.</p>
Fig. 2 in Redescription and phylogenetic position of the enigmatic Neotropical electric fish Iracema caiana Triques (Gymnotiformes: Rhamphichthyidae) using x-ray computed tomography
Fig. 2. Head of Iracema caiana, MZUSP 49205 (paratype), 345 mm SL.
X-ray computed tomography and scanning electron microscopy datasets of unidirectional and textured glass fibre composites.
<p>3D x-ray tomography and 2D scanning electron microscopy (SEM) data behind the publications: </p> <p>Salling, F.B, Jeppesen, N., Sonne, M.R., Hattel, J.H., Mikkelsen, L.P. Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis, <em>Journal of Composite Materials</em>, <strong>56</strong>, 83-98, <a href="https://doi.org/10.1177%2F00219983211052741">https://doi.org/10.1177/00219983211052741</a>, 2022.</p> <p>to where the reference should be given if used. </p> <p>Details on the data-set is given in the supplementary document found together with the data</p> <p>The data-files is given for the two material case called Mock and UD. For each material case, the data is given as:</p> <ul> <li>.txm-files: 3D reconstructed x-ray scan files <ul> <li>FoV 2mm binning 2 (analyzed in the paper)</li> <li>FoV 4mm binning 1 (additional data-set)</li> </ul> </li> <li>2Dtif.zip-files: 2D tif-stack version of the 3D reconstructed data-set</li> <li>.tif-files: stitched SEM scanning file used for fiber volume fraction determination</li> <li>.hdr-files: meta-data ASCII file behind the SEM scan</li> <li>tif.zip-files: The individual images behind the stitched SEM scanning file</li> <li>fig-files: digital form of the fibre trajectories colored according to their individual mean inclination used in figure xx in reference yy</li> <li>m-files: Matlab-script for calculating the fibre volume fraction (Vf) from the SEM image</li> <li>mat-files: Mat-file with the segmented part in the SEM image used for the Vf calculation</li> </ul>
Design of a triaxial compression cell for x-ray tomography
<p>This repository contains the technical drawings of the triaxial compression setup developed and used in the PhD thesis "<em>E<a href="https://hal.science/tel-04202827v1">xperimental investigation of the effects of particle shape and friction on the mechanics of granular media</a></em>" by Gustavo Pinzón (Université Grenoble Alpes).</p> <p>The setup is a modification of the traditional setup used in geotechnical testing, presenting a sliding base on one of the ends, which allows the creation of a singular strain localisation region. The experimental setup is designed for i<em>n-situ</em> testing inside the x-ray tomography cabin of Laboratoire 3SR, Grenoble, France.</p> <p> The <em>Readme.md</em> file contains further details on the structure of the repository and the materials of each component. Please refer to the PhD thesis <a href="https://hal.science/tel-04202827v1">here</a> for further details not found in the <em>Readme.md </em>file. Additional information/data not included in this repository is available upon request.</p>
Scaled laboratory experiments of analogue magma intrusion in granular material: X-ray Computed Tomography imagery and displacement data
<p>This data set contains X-ray Computed Tomography (CT) images and surface displacement data of 15 scaled laboratory experiments of analogue magma intrusion in granular material. The experimental methodology and the experimental results were described in detail by Poppe et al. (2019). Displacement data of experiment SPCTIN14 was used by Poppe et al. (2023).<br> When using the experimental imagery or their derivatives please reference at a minimum Poppe et al. (2019) and this data set (Poppe et al., 2023, Zenodo data set).<br> The included explanatory notice reproduces the experimental method and presents the structure and file types contained in this data set.</p>
Internal defect database of mechanically deformed ferritic steel via X-ray computed tomography
Open the record for dataset details and reuse information.
Noise study data for: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation
<p>This dataset contains noise study data used in the paper: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation. These include raw CT scans and processed digital volume correlation data.</p> <p>This dataset is part of another dataset which covers other aspects of the paper DOI: <a href="http://www.doi.org/10.5281/zenodo.3352268">10.5281/zenodo.3352268</a></p> <p>The structure of the dataset is as follows:</p> <ul> <li>Noise study CT raw volumes are contained in a zip file. There are four raw files corresponding to the four noise study steps. These files are 8-bit unsigned, dimensions are 1800 x 1800 x 1400 pixels. A txt file giving more details to the data is included. <ul> <li><strong>CT_Raw_data_Noise_Scans.zip</strong></li> </ul> </li> <li>Metadata files generated for each scan given details of scan parameters are found in the zip file: <ul> <li><strong>CT_Scan_Metadata.zip</strong></li> </ul> </li> <li>Tabulated digital volume data for the noise study scans are contained in the zip file. Tabulated data for each subset size is included in subfolders. A .txt file explains the structure of the tab separated .dat files, i.e. what each column of data represents, and what CT scan each of the four .dat files relate to. <ul> <li><strong>DVC_Noise_Study_Data.zip</strong></li> </ul> </li> </ul> <p> </p> <p> </p>
3d Virtual Patho-Histology of Lung Tissue from Covid19 Patients based on Phase Contrast X-ray Tomography
<p>X-ray phase contrast tomographys datasets of lung tissue from 6 Covid-19 patients (paraffin embedded unstained tissue), and one control tissue (healthy lung, in fixative solution). The data has been recorded as part of the Covid-19 Call for Proposals at DESY April 2020 at the GINIX instrument, beamline P10 of the PETRAIII storage ring at 8keV. Three different datasets are included in a single tar archive for each sample: (i) overview scan (up to 4mm cross section ) from stitching different tomograms, (ii) 1mm cylindrical punch, and (iii) cone-beam zoom tomogram recorded with waveguide illumination. </p> <p>voxel sizes: (i) 1.3µm, (ii) 650nm, (iii) 167nm. </p> <p>3 datasets per sample, raw format, voxel numbers given in Filename, single (32bit real)</p> <p> </p>
Data from: Inner ear morphology of diadectomorphs and seymouriamorphs (Tetrapoda) uncovered by high-resolution x-ray microcomputed tomography, and the origin of the amniote crown group
The origin of amniotes was a key event in vertebrate evolution, enabling tetrapods to break their ties with water and invade terrestrial environments. Two pivotal clades of early tetrapods, the diadectomorphs and the seymouriamorphs, have played an unsurpassed role in debates about the ancestry of amniotes for over a century, but their skeletal morphology has provided conflicting evidence for their affinities. Using high-resolution X-ray microcomputed tomography, we reveal the three-dimensional architecture of the well preserved endosseous labyrinth of the inner ear in representative species belonging to both groups. Data from the inner ear are coded in a new cladistic matrix of stem and primitive crown amniotes. Both maximum parsimony and Bayesian inference analyses retrieve seymouriamorphs as derived non-crown amniotes and diadectomorphs as sister group to synapsids. If confirmed, this sister group relationship invites re-examination of character polarity near the roots of the crown amniote radiation. Major changes in the endosseous labyrinth and adjacent braincase regions are mapped across the transition from non-amniote to amniote tetrapods, and include: a ventral shift of the cochlear recess relative to the vestibule and the semicircular canals; cochlear recess (primitively housed exclusively within the opisthotic) accommodated within both the prootic and the opisthotic; development of a distinct fossa subarcuata. The inner ear of seymouriamorphs foreshadows conditions of more derived groups, whereas that of diadectomorphs shows a mosaic of plesiomorphic and apomorphic traits, some of which are unambiguously amniote-like, including a distinct and pyramid-like cochlear recess.
Datasets for "Insight into ductular reaction in obstructive biliary disease from a three-dimensional perspective using ex vivo X-ray phase contrast computed tomography"
<p>Phase-contrast CT of BDL rats liver-8 week</p>
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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
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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.