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.
2,001
datasets available to search
ShareScore release 0.9.0
Dataset results
2,001 results for “x-rays”
The Symbiotic X-ray Binary IGR J16194-2810: Magellan Inamori Kyocera Echelle (MIKE) Spectra
<p>Optical high-resolution spectra taken with the Magellan Inamori Kyocera Echelle (MIKE) spectrograph for the symbiotic X-ray binary IGR J16194-2810.</p>
Investigating the interplay between the coronal properties and the hard X-ray variability of active galactic nuclei with NuSTAR
<p>These are the figures in the Appendices C and D of the A&A article "Investigating the interplay between the coronal properties and the hard X-ray variability of active galactic nuclei with NuSTAR" by R. Serafinelli et al (2024), already accepted for publications.</p> <p>Appendix C contains all the spectra and data-to-model ratios, while Appendix D contains all the X-ray light curves.</p>
Dataset for "X-ray near-field ptychographic nanoimaging of cement pastes" paper
<p>Dataset for paper (doi:) with the abstract: "The hydration processes of Portland cements (PC) and blends are complicated as there are many components with great heterogeneity at different length scales. Thus, 3D nanoimaging techniques with high spatial resolution and scanning large fields of view are needed. Here, synchrotron X-ray near-field ptychographic tomography is used to investigate four pastes within 0.2 mm thick capillaries: PC with CaCl2, PC hydration enhanced by C-S-H nucleation seeding, PC partly substituted with metakaolin, and PC partly substituted with metakaolin and limestone. Data analysis emphasis has been placed on the characterisation of amorphous components: (i) C-S-H and C-A-S-H gels; (ii) iron aluminium siliceous hydrogarnets; (iii) metakaolin; and (iv) aluminium carboaluminate, AFm-like. Synchrotron ptychotomography yields electron density and absorption coefficient tomograms and the resulting bivariate plots are instrumental for characterising these amorphous components. The attained spatial resolution, ~220 nm, with very good contrast allowed us to determine nanofeatures including mass densities and spatial distributions of amorphous components. For instance, the C-S-H gel mass density differences between the two type of accelerated pastes are detailed."</p>
Unified Clumpy AGN Torus Model and X-ray spectrum
<p>In Buchner et al. (in prep) we develop a geometry for the X-ray obscurer of AGN. Its cloud population is consistent with existing CLUMPY (Nenkova+02) infrared models. However, we find that a inner torus ring component is required to fit local Compton-thick AGN.</p> <p>More information at <a href="https://github.com/JohannesBuchner/xars/blob/master/doc/uxclumpy.rst">https://github.com/JohannesBuchner/xars/blob/master/doc/uxclumpy.rst</a></p> <p>Our model has two geometry parameter:<br> 1) The opening of the torus, or the vertical extent of the clouds (sigma)<br> 2) The covering of the inner Compton-thick wall.<br> Further parameters are:<br> 3) Photon index and energy cut-off of the corona<br> 4) Column density in the line of sight (up to 10^26)<br> 5) Viewing angle.</p> <p>We release XSPEC table spectra here.</p>
Tomographic X-ray data of 3D emoji
<p>This is the documentation of the tomographic X-ray data of emoji<br> phantom made available at http://www.fips.fi/dataset.php. The data can be freely used for scienti c 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 of a single 2D slice of 33 emoji faces (contains 15 different emoji faces) made by small squared ceramic stones 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 60-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution. The original (measured) sinogram is also provided in its original form and resolution.</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>
Tension clamp X-ray CT data of non-crimp fabric based fibre composite under fatigue loading
<p>Tension clamp 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>
Single Crystal X-ray diffraction data for Mycobacterium tuberculosis BioA
<p>Single crystal X-ray diffraction data for MtBioA related to PDBID: xxxx</p> <p>Data collected at Diamond Light Source, UK</p> <p>Beamline I03</p>
X-ray Holographic Data Set of 15 μm Spheres obtained at Petra III, P10, GINIX at DESY, Hamburg
<p>This is the data set presented in the article "<strong><em>Phase Retrieval for Near-field X-Ray Imaging beyond Linearisation or Compact Support</em></strong>".</p> <p>It is a matlab file containing 3 fields:</p> <p>geometry contains the following fields: all distances z_01 (focus-sample) z_02(sample-detector) and derived quantites M (magnification), z_eff (effective propagation distance from Fresnel scaling), F (Fresnel number) and dxeff (effective pixelsize)</p> <p>images is a cell array of the 4 flat field corrected (not aligned nor magnified) measurements.</p> <p>p is a parameter structure. p.measurements contains the fully corrected data used for the reconstruction. p.F contains the rescaled Fresnel numbers - use these for reconstruction, corresponding to the order of measurements. </p>
Single Crystal X-ray Diffraction Data for PLP internal aldimine form of Sphingopyxis sp. MTA144 FumI protein
<p>Single Crystal X-ray Diffraction Data for PLP internal aldimine form of Sphingopyxis sp. MTA144 FumI protein collected at Diamond Light Source, Beamline I03 2018-07-21</p>
Thorax x-ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation
<p>Thorax x-ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation. Medical Physics, 2018 Nov;45(11):5343-5351. doi: 10.1002/mp.13174.</p>
Data for the manuscript named 'Soft X-ray imaging of the magnetosheath and cusps under different solar wind conditions: MHD simulations'
<p> This is the data used by the manuscript named 'Soft X-ray imaging of the magnetosheath and cusps under different solar wind conditions: MHD simulations'.</p> <p> The uploaded data is the X-ray intensity data for all the five cases studied in the manuscritpt. 'Casen' (n=1, 2, 3, 4, and 5) in the name of each data file indicates the case number, and 'sat pointX' (X=A, B, C, D) show the satellite positions analyzed in the manuscript. </p> <p> The data can be read by IDL using the following program statments:</p> <p>openr,lun,datai,/get_lun<br> xgse=0. & ygse=0. & zgse=0.<br> readf,lun,xgse,ygse,zgse ;;;;(satellite position in the GSE coordinate)<br> xsat=0. & ysat=0. & zsat=0.<br> readf,lun,xsat,ysat,zsat ;;;;(satellite position in the GSM coordinate)<br> xpoint=0. & ypoint=0. & zpoint=0.<br> readf,lun,xpoint,ypoint,zpoint ;;;;(satellite pointing of SXI, aim point)<br> nthtmax=0L & nphimax=0L<br> readf,lun,nthtmax,nphimax ;;;;(number of the tht and phi grids)<br> thti=fltarr(nthtmax) & phii=fltarr(nphimax)<br> readf,lun,thti,format='(e14.6)' ;;;;(the tht grids)<br> readf,lun,phii,format='(e14.6)' ;;;;(the phi grids)<br> Pxraytp=fltarr(nthtmax,nphimax)<br> readf,lun,Pxraytp,format='(e14.6)' ;;;;(X-ray intensity)<br> close,lun<br> free_lun,lun</p>
Data for "X-ray Fourier ptychography"
<p>Data needed to evaluate the conclusions of the paper</p> <p>K. Wakonig, A. Diaz, A. Bonnin, M. Stampanoni, A. Bergamaschi, J. Ihli, M. Guizar-Sicairos,<br> A. Menzel, X-ray Fourier ptychography. <em>Sci. Adv. </em><strong>5</strong>, eaav0282 (2019).</p> <p> </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>
Formation of Black Hole X-Ray Binaries with Non-degenerate Donors in Globular Clusters
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...843L..30I">Formation of Black Hole X-Ray Binaries with Non-degenerate Donors in Globular Clusters</a></p>
Low-mass X-ray binaries: the effects of the magnetic braking prescription
<p>MESA inlists associated with Formation of <a href="https://ui.adsabs.harvard.edu/?#abs/2019MNRAS.483.5595V/abstract">Low-mass X-ray binaries: the effects of the magnetic braking prescription</a></p>
Novel modelling of ultracompact X-ray binary evolution - stable mass transfer from white dwarfs to neutron stars
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2017MNRAS.470L...6S/abstract">Novel modelling of ultracompact X-ray binary evolution - stable mass transfer from white dwarfs to neutron stars</a></p>
Evolution of Transient Low-mass X-Ray Binaries to Redback Millisecond Pulsars
<p>MESA inists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2015ApJ...814...74J">Jia & Li (2015)</a>. MESA version 7624.</p> <p>Publication DOI: <a href="https://doi.org/10.1088/0004-637X/814/1/74">10.1088/0004-637X/814/1/74</a></p>
Consistent Modeling of GS 1826-24 X-Ray Bursts for Multiple Accretion Rates Demonstrates the Possibility of Constraining rp-process Reaction Rates
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018arXiv180505552M/abstract">Meisel (2018)</a>. MESA version 9793.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/aac3d3">10.3847/1538-4357/aac3d3</a></p>
X-ray absorption data and microscopic images of "Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO"
<p>XANES and EXAFS data (Figure 1F-H, Figure 3A-B, Figure S2F-H, Figure S3H-I, Figure S10A-B, Figure S11A-B,E-F, Figure S12A, Figure S14D-E)</p> <p>Microscopic images (Figure 1A-D, Figure S2B,D, Figure S4A-B,D-E, Figure S9A-C,E Figure S13A-D)</p> <p>of the research paper 'Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO'.</p>
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.