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2,001 results for “x-rays”
Tomographic X-ray data of a walnut
<p>This is an open-access dataset of tomographic X-ray data of a walnut. The dataset consists of the X-ray sinogram of a single 2D slice of the walnut with three different resolutions and the corresponding measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 120-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.</p> <p>In addition, a larger set of 1200 projections of the same walnut was measured and a high-resolution filtered back-projection reconstruction was computed from this data; both the sinogram and the FBP reconstruction are included in the dataset, the latter serving as a ground truth reconstruction.</p> <p>Documentation of the dataset is available at <a href="https://arxiv.org/abs/1502.04064">arxiv.org/abs/1502.04064</a>. See also <a href="https://www.fips.fi/dataset.php">www.fips.fi/dataset.php</a>.</p>
Tomographic X-ray data of a lotus root filled with attenuating objects
<p>This is an open-access dataset of tomographic X-ray data of a slice of a lotus root. The dataset consists of</p> <ul> <li>the X-ray sinogram of a single 2D slice of the lotus root with two different resolutions, and</li> <li>the corresponding measurement matrices modeling the linear operation of the X-ray transform.</li> </ul> <p>Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.</p> <p>Also MATLAB code for reconstructions using filtered back-projection, Landweber iteration, and Tikhonov regularization are provided.</p> <p>Documentation of the dataset is available at <a href="https://arxiv.org/abs/1609.07299">arxiv.org/abs/1609.07299</a>. See also <a href="https://www.fips.fi/dataset.php">www.fips.fi/dataset.php</a>.</p>
Images and supporting data for high-resolution μCT of a mouse embryo using a compact laser-driven x-ray betatron source
<p>A high resolution x-ray CT scan of an embryonic mouse sample was performed with the betatron x-ray source produced by a laser wakefield accelerator. This data deposition includes all of the raw images of the mouse sample, information regarding their indexing, featured slices of the tomogram and some further raw data regarding the x-ray source characterisation.</p>
Broad-band X-ray spectrum of AT2018cow
<p>Unfolded spectrum of AT2018cow (<a href="http://www.astronomerstelegram.org/?read=11727">ATeL #11727</a>) as observed by the Neil Gehrels Swift observatory XRT instrument (black), the NuSTAR FPMA and FPMB (blue and green) and the IBIS/ISGRI detector on board of INTEGRAL from 2018-06-22 to 2018-06-27. The model is an absorbed broken power-law with high-energy cutoff and is represented with solid lines. The lower panel shows the ratio between data and model.</p>
Original reconstructions for the research in "X-ray nanotomography of individual pulp fibre bonds reveals the effect of wall thickness on contact area"
<p>The following data set contains the original cropped and straightened reconstruction stacks of all the cellulose fibre bond samples imaged for the study outlined in the article<strong> “</strong>X-ray nanotomography of individual pulp fibre bonds reveals the effect of wall thickness on contact area” by T. Sormunen, A. Ketola, A. Miettinen, J. Parkkonen and E. Retulainen. The article is currently (23.11.2018) in decision phase.</p> <p>In addition, the algorithm for reconstruction stack processing conducted in ImageJ and the MATLAB function for contact area and pixelwise correlation calculations are included.</p>
Tomographic X-ray data of time-dependent 3D cross phantom
<p>This is the documentation of the tomographic X-ray data of a dynamic cross phantom made available at http://www.fips.fi/dataset.php. The data can be freely used for scientific purposes with appropriate references to the data and to this document in http://arxiv.org/. The data set consists of (1) the X-ray sinogram with 16 or 30 time frames (depending on resolution) of 2D slices of the cross phantom, made by crossing aluminum and graphite sticks in melted candle wax and (2) the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.</p> <p>This new version contains added file <a href="https://zenodo.org/api/files/5c00de09-bb57-4c9e-9beb-00c63358de3c/DataStatic_560x60.mat?versionId=1e53d43d-d999-435e-bb1c-8297cf32c984">DataStatic_560x60.mat </a> with 80 time frames and <a href="https://zenodo.org/api/files/5c00de09-bb57-4c9e-9beb-00c63358de3c/DataStatic_1120x60.mat?versionId=afded407-6c88-4880-b427-fe7fd09306f4">DataStatic_1120x60.mat </a> with 230 time frames. You can run these files with the code example 2, which computes a Tikhonov regularized reconstruction using conjugate gradient algorithm.</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>
Catalog of X-ray & WISE AGN in the SDSS-IV eBOSS Stripe 82X Survey
<p>This catalog contains 4847 spectroscopically identified X-ray sources and <em>WISE</em> AGN candidates within the 36.8 deg<sup>2</sup> SDSS-IV eBOSS Stripe 82X survey area. This survey overlaps the largest contiguous portion of the Stripe 82 X-ray survey (15.6 deg<sup>2</sup>). Based on X-ray luminosities or <em>WISE</em> <em>W1</em>-<em>W2</em> colors (based on Assef et al. 2018), there are 4730 AGN in this catalog: 1790 X-ray AGN and 3638 <em>WISE</em> AGN, of which 698 are X-ray and <em>WISE</em> AGN. The sample is 82% complete to <em>r</em> ~ 22, where the X-ray and <em>WISE</em> AGN samples are 88% and 82% complete, respectively, at this magnitude limit.</p> <p>The redshifts and spectroscopic classifications include spectra from the SDSS-IV eBOSS Stripe 82X survey, previous data releases of SDSS (Abazajian et al. 2009; Aihara et al. 201; Alam et al. 2015; Albareti et al. 2017; Abolfathi et al. 2019; Pâris et al. 2017, 2018), 2SLAQ (Croom et al. 2009), 6dF (Jones et al. 2004, 2009), and dedicated follow-up programs of Stripe 82 X-ray sources (LaMassa et al. 2016, 2017, and published here for the first time). Description of the catalog columns are given in LaMassa et al. (2019). </p>
Single-crystal X-ray diffractometry data for a sample of NiCl₂-dppe collected on beamline I19-2 at Diamond Light Source
<p>Single-crystal X-ray diffractometry data for a sample of [1,2-Bis(diphenylphosphino)ethane]dichloronickel(II) (NiCl<sub>2</sub>-dppe, [(C<sub>6</sub>H<sub>5</sub>)<sub>2</sub>PCH<sub>2</sub>CH<sub>2</sub>P(C<sub>6</sub>H<sub>5</sub>)<sub>2</sub>]NiCl<sub>2</sub>).</p> <p>Data collected at Diamond Light Source I19-2 on 2015-05-18, publicly available for users to test data reduction routines. Data are known to produce good merging statistics and final refinements.</p> <p>The sample was prepared as follows:<br> Nickel chloride (II) hexahydrate (1 g, 2 mmol) was heated under vacuum to produce anhydrous nickel chloride (II) with a visible colour change from green to yellow. The resulting solid was taken up in ethanol (5 ml) and added to 1,2-bis(dimethylphosphine)ethane (dppe) (0.837 g, 2 mmol) in ethanol (10 ml). The solution was refluxed for 3 hour after which the solvent was evaporated. The small red crystals were purified by recrystallisation in acetone (70% yield).</p> <p>The sample was held at an approximate temperature of 150 K and the illuminating beam had a wavelength of 0.68890 Å (17.997 keV). The detector was held at 2θ = 25° throughout.</p> <p>Inventory of data:<br> <strong>010_Ni_dppe_Cl_2_150K01</strong> — 130° ω scan, 0.4° images, 0.4s per image, 325 images; κ = 45°, φ = 160°.<br> <strong>010_Ni_dppe_Cl_2_150K02</strong> — 130° ω scan, 0.4° images, 0.4s per image, 325 images; κ = 45°, φ = 40°.<br> <strong>010_Ni_dppe_Cl_2_150K03</strong> — 130° ω scan, 0.4° images, 0.4s per image, 325 images; κ = 45°, φ = -80°.<br> <strong>010_Ni_dppe_Cl_2_150K04</strong> — 198° ω scan, 0.4° images, 0.4s per image, 495 images; κ = 0°, φ = -80°.</p>
Data archive for "Femtosecond X-ray diffraction reveals a liquid-liquid phase transition in phase-change materials"
<p>This archive contains the raw experimentat data used for the data analysis in the article "Femtosecond X-ray diffraction reveals a liquid-liquid phase transition in phase-change materials". It furthermore includes the script(s) to transform raw diffraction images into structure factors and the data shown in the figures in ascii format. For the ab-initio molecular dynamics simulations, the atomic trajectories are included as well.</p>
Enantioselective Assembly of Congested Cyclopropanes using Redox-Active Aryldiazoacetates - NMR, HRMS and X-ray Raw Data
<p>NMR, HRMS and single crystal X-ray diffraction raw data for the compounds in the manuscript ACS Catalysis 2019, DOI: <a href="https://doi.org/10.1021/acscatal.9b02615">https://doi.org/10.1021/acscatal.9b02615</a></p>
Constraining the Neutron Star Mass-Radius Relation and Dense Matter Equation of State with NICER. I. The Millisecond Pulsar X-Ray Data Set
<p>This deposit includes the cleaned, filtered and phase folded NICER event data set for the millisecond pulsar (MSP) PSR J0030+0451 in the 0.25-3 keV band. The data processing and filtering was performed using HEASoft 6.251 and NICERDAS version 5.0; the specific parameters and filtering criteria used are detailed in the ApJ Letter listed above. This event list was used to produce what is shown for PSR J0030+0451 in Figures 2, 3, and 4 in the accepted ApJ Letter listed above and was also used for the neutron star mass-radius and equation of state inference analyses presented in the companion papers (Miller et al. 2019, Riley et al. 2019, and Raaijmakers et al. 2019).</p> <p>The event file and its MD5 checksum is:<br> J0030+0451_merged_phase_0.25-3keV.fits (463bbac7203bb45bb02ea0deed49f083)<br> </p>
X-ray and ion irradiation effects on azurite, malachite and alizarin pictorial models
<p>XPS was used to analyze X-ray effects on pellets of azurite, malachite and alizarin pure pigments and on azurite and alizarin tempera paint mock-ups, where the pigments were mixed with egg yolk. X-ray radiation damage was assessed by comparing successive high-resolution spectra acquired on the same spot. The spectra of the pure pigments show low radiation sensitivity and reactivity under the selected X-ray irradiation conditions, although some differences among them were detected. Whereas alizarin does not experience surface chemical changes during the prolonged irradiation experiment, a slow progressive chemical reduction of azurite and malachite (copper-based pigments), together with the formation of cuprite, is observed. On the other side, tempera paint mock-ups are sensitive to X-rays and alterations of the egg yolk binding medium are displayed in a shorter time scale than the induced chemical modifications of the pure pigments. Besides, XPS allows to determine that the azurite pigment and the binder interact chemically. Azurite is partially reduced in the tempera paint from the beginning of the irradiation experiment and the subsequent X-ray exposure induces further reduction.</p>
X-ray tomography image data of a graphite foam block (KFoam) and tortuosity analysis
<p>X-ray tomography (CT) image data of a graphite foam block (KFoam). The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Manchester X-ray Imaging Facility equipment, which was funded in part by the EPSRC (grants EP/F007906/1, EP/F001452/1 and EP/I02249X/1).</p> <p>The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (NMT_15_229_LLME_DivInterlayer.raw) is in binary format and has the following characteristics: 1586 x 1567 x 1588; 8-bit; little-endian byte order.</p> <p>The second .zip file is a 200 x 200 x 200 subset of this dataset. This was used to perform a tortuosity analysis on the foam. This dataset includes three sets of tiff images; tomographic slices; binarised slices; skeletonised slices. It also includes an excel file with the results of the tortuosity analysis performed with ImageJ.</p> <p>This data was used originally for the following publications (please cite if re-using the data):</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>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Improving modelling of complex geometries in novel materials using 3D imaging”, Proceedings of NEA International Workshop on Structural Materials for Innovative Nuclear Systems, Manchester, UK, July 2016. <a href="https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf">https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf</a></p>
X-ray and ion irradiation effects on azurite, malachite and alizarin pictorial samples
<p>XPS was used to analyze X-ray effects on pellets of azurite, malachite and alizarin pure pigments and on azurite and alizarin tempera paint mock-ups, where the pigments were mixed with egg yolk. X-ray radiation damage was assessed by comparing successive high-resolution spectra acquired on the same spot. The spectra of the pure pigments show low radiation sensitivity and reactivity under the selected X-ray irradiation conditions, although some differences among them were detected. Whereas alizarin does not experience surface chemical changes during the prolonged irradiation experiment, a slow progressive chemical reduction of azurite and malachite (copper-based pigments), together with the formation of cuprite, is observed. On the other side, tempera paint mock-ups are sensitive to X-rays and alterations of the egg yolk binding medium are displayed in a shorter time scale than the induced chemical modifications of the pure pigments. Besides, XPS allows to determine that the azurite pigment and the binder interact chemically. Azurite is partially reduced in the tempera paint from the beginning of the irradiation experiment and the subsequent X-ray exposure induces further reduction</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>
Fig. 2 in A new subdisarticulated machaeridian from the Middle Devonian of China: Insights into taphonomy and taxonomy using X-ray microtomography and 3D-analysis
Fig. 2. Maps of China and Guangxi (A) adapted from "Croquant" on Wikimedia (licensed under CC BY 3.0). B. Map showing the region of machaeridian locality (asterisk); adapted from Google Maps.
Fig. 5 in A new subdisarticulated machaeridian from the Middle Devonian of China: Insights into taphonomy and taxonomy using X-ray microtomography and 3D-analysis
Fig. 5. Overview of the other objects found in the sample. A. Object 3 could not be identified with certainty, but is likely part of a sclerite from the flank. B. Sclerite 9 might be from the dorsal articulation. C. Objects 15 and 16 might belong to the same, incomplete sclerite. D. Sclerite 11 preserves only the dorsal flange. E. Objects 8, 12, 13, and 14 might actually be parts of two sclerites as indicated by the white lines.
Fig. 6 in A new subdisarticulated machaeridian from the Middle Devonian of China: Insights into taphonomy and taxonomy using X-ray microtomography and 3D-analysis
Fig. 6. View of a pair of 3D-prints of articulated right (1) and left (2) sclerites from obliquely posterior (A) and dorsal (B) views. Note the perfect fit of the sclerites. Within the hinge of sclerite 1 in B, the indentation on the right of the hinge flange is an artefact from tresholding (probably, the shell was too thin in that place). Sclerites 1 and 2 were enlarged 25 times (for original dimensions see Fig. 4).
Fig. 1 in A new subdisarticulated machaeridian from the Middle Devonian of China: Insights into taphonomy and taxonomy using X-ray microtomography and 3D-analysis
Fig. 1. Machaeridian annelid Lepidocoleus kuangguoduni sp. nov., Nandan Formation, Eifelian, near Napiao, Guangxi (China). A. The main plate containing most machaeridian sclerites. B. The counterplate of the same specimen (it was glued back onto the slab prior to CT-scanning); note the limonitic filling of the rugae and the chaotic arrangement of the plates.
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International Brain Laboratory public data
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OpenNeuro
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