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2,001 results for “x-rays”
Validating marker-less pose estimation with 3D x-ray radiography
<p class="MsoNormal"><span>These data were generated to evaluate the accuracy of DeepLabCut (DLC), a deep learning marker-less motion capture approach, by comparing it to a 3D x-ray video radiography system that tracks markers placed under the skin (XROMM). We recorded behavioral data simultaneously with XROMM and RGB video as marmosets foraged and reconstructed three-dimensional kinematics in a common coordinate system. We used XMALab to track 11 XROMM markers, and we used the toolkit Anipose to filter and triangulate DLC trajectories of 11 corresponding markers on the forelimb and torso. We performed a parameter sweep of relevant Anipose and post-processing parameters to characterize their effect on tracking quality. We compared the median error of DLC+Anipose to human labeling performance and placed this error in the context of the animal's range of motion. </span></p>
Dataset for the development of a "Flow cell for operando X-ray photon-in-photon-out studies on photo-electrochemical thin film devices"
<p>All raw experimental data concerning this published ChemRxiv manuscript: https://doi.org/10.26434/chemrxiv.12382529.v1 which is now published slightly revised here: https://doi.org/10.12688/openreseurope.14433.1<br> <br> The dataset comprises raw data, analysis and short description:<br> - the CAD-files of the operando cell<br> - the grazing-incidence X-ray diffraction (GIXRD) files of the as-synthesized thin film samples<br> - the high-energy resolution fluoresence-detected (HERFD) X-ray absorption (XAS) files of thin films during photoelectrochemical experimentation<br> - the photoelectrochemical data gathered during HERFD-XAS experiments<br> - the non-operando photoelectrochemical data on the thin film samples<br> - scanning electron microscopy (SEM) image of a representative thin film cross-section<br> - the extended data contains additional information arranged in a word document that are directly linked to the main manuscript</p>
X-ray imaging of 30 year old wine grape wood reveals cumulative impacts of rootstocks on scion secondary growth and harvest index
<p><span></span></p> <p><span>Annual rings from vines in a 30 year old, California rootstock trial were measured to determine the effects of 15 different rootstocks on Chardonnay and Cabernet Sauvignon scions. Viticultural traits measuring vegetative growth, yield, berry quality, and nutrient uptake were measured at the beginning and end of the lifetime of the vineyard.</span></p> <p><span>X-ray Computed Tomography (CT) was used to measure ring widths in 103 vines. Ring width was modeled as a function of ring number using a negative exponential model. Early and late wood ring widths, cambium width, and scion trunk radius were correlated with 27 traits. </span></p> <p><span>Modeling of annual ring width shows that scions alter the width of the first rings but that rootstocks alter the decay thereafter, consistently shortening ring width throughout the lifetime of the vine. The ratio of yield to vegetative growth, juice pH, photosynthetic assimilation and transpiration rates, and stomatal conductance are correlated with scion trunk radius.</span></p> <p><span>Rootstocks modulate secondary growth over years, altering hydraulic conductance, physiology, and agronomic traits. Rootstocks act in similar but distinct ways from climate to modulate ring width, which borrowing techniques from dendrochronology, can be used to monitor both genetic and environmental effects in woody perennial crop species.</span></p>
Dataset to "Hydrogen induced trap states in TiO2 probed by resonant X-ray photoemission"
<p>Dataset to "Hydrogen induced trap states in TiO2 probed by resonant X-ray photoemission" as published in Proceedings of the International Conference on X-Ray Lasers 2020</p>
Data, scripts, and figures of the article: Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 3. Validation of prediction models
<p>This data set contains the data, JMP scripts, and figures of the article titled "Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 3. Validation of prediction models" to be published in the journal Animal - Open Space.</p>
X-ray polarization detection of Cassiopeia A with IXPE
<p>Data reproduction package for “X-ray polarization detection of Cassiopeia A with IXPE” (Vink, Prokhorov, Ferrazzoli et al. 2022) published by the Astrophysical Journal</p> <p><strong>Abstract of the publication</strong></p> <p>We report on a ∼ 5σ detection of polarized 3–6 keV X-ray emission from the supernova remnant Cassiopeia A with the Imaging X-ray Polarimetry Explorer (IXPE). The overall polarization degree of 1.8±0.3% is detected by summing over a large region, assuming circular symmetry for the polarization vectors. The measurements imply an average polarization degree for the synchrotron component of ∼ 2.5%, and close to 5% for the X-ray synchrotron-domimated forward-shock region. These numbers are based on an assessment of the thermal and non-thermal radiation contributions, for which we used a detailed spatial-spectral model based on Chandra X-ray data. A pixel-by-pixel search for polarization provides a few tentative detections from discrete regions at the ∼ 3σ confidence level. Given the number of pixels, the significance is insufficient to claim a detection for individual pixels, but implies considerable turbulence on scales smaller than the angular resolution. Cas A’s X-ray continuum emission is dominated by synchrotron radiation from regions within 10<sup>17</sup> cm of the forward- and reverse shocks. We find that i) the measured polarization angle corresponds to a radially-oriented magnetic field, similar to what has been inferred from radio observations; ii) the X-ray polarization degree is lower than in the radio band (∼ 5%). Since shock compression should impose a tangential magnetic field structure, the IXPE results imply that magnetic-fields are reoriented within ∼ 10<sup>17</sup> cm of the shock. If the magnetic-field alignment is due to locally enhanced acceleration near quasi-parallel shocks, the preferred X-ray polarization angle suggests a size of 3 × 10<sup>16</sup> cm for cells with radial magnetic fields.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Specimen displacement correction for powder x-ray diffraction in Debye-Scherrer geometry with a flat area detector
<p>This is a repository of synchrotron, powder XRD data including area detector images (.tiff) and integrated intensity vs 2theta files (.xye) for an experiment determining a sample displacement correction equation for powder x-ray diffraction in Debye-Scherrer geometry with a flat area detector. The accuracy of this equation and the corresponding corrections were verified by comparing it with corrections based on finding new integration parameters from an internal standard reference material.</p> <p>This work was published in the Journal of Applied Crystallography, the citation is shown below:</p> <p>Hulbert, B. S. & Kriven, W. M. (2023). J. Appl. Cryst. 56.</p> <p><a href="https://doi.org/10.1107/S1600576722011360">https://doi.org/10.1107/S1600576722011360</a></p>
Supplementary material S2. Leiestes tomaszewskae sp. nov., holotype, Nr. 6723 [MAIG], X-ray micro-CT volume rendering of the habitus (without legs).
<p>X-ray micro-CT volume rendering of the habitus (without legs) of <em>Leiestes</em> <em>tomaszewskae</em> sp. nov., holotype, Nr. 6723 [MAIG].</p>
Supplementary material S1. Leiestes tomaszewskae sp. nov., holotype, Nr. 6723 [MAIG], X-ray micro-CT volume rendering of the habitus.
<p>X-ray micro-CT volume rendering of the habitus of <em>Leiestes</em> <em>tomaszewskae</em> sp. nov., holotype, Nr. 6723 [MAIG].</p>
Supplementary material S3. Leiestes tomaszewskae sp. nov., holotype, Nr. 6723 [MAIG], X-ray micro-CT volume rendering of the right antenna.
<p>X-ray micro-CT volume rendering of the right antenna of <em>Leiestes</em> <em>tomaszewskae</em> sp. nov., holotype, Nr. 6723 [MAIG].</p>
IODP Expedition 352 Portable X-ray fluorescence (p-XRF)
<p>Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.</p>
IODP Expedition 352 X-ray diffraction (XRD)
<p>X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).</p>
IODP Expedition 351 X-ray diffraction (XRD)
<p>X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).</p>
Supplementary material S1. Ptilodactyla eocenica Kundrata, Bukejs and Blank, 2021, male, SIZK ZH-85, X-ray micro-CT volume rendering of the habitus.
<p>Supplementary material S1 in paper: Telnov D., Perkovsky E.E., Kundrata R., Karišs K., Vasilenko D.V., Bukejs A. Revealing Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first <em>Ptilodactyla</em> Illiger, 1807 records from Rovno amber of Ukraine. <em>Historical Biology</em>.</p>
Supplementary material S2. Ptilodactyla eocenica Kundrata, Bukejs and Blank, 2021, male, SIZK ZH-85, X-ray micro-CT volume rendering of the forelegs.
<p>Supplementary material S2 in paper: Telnov D., Perkovsky E.E., Kundrata R., Kairišs K., Vasilenko D.V., Bukejs A. Revealing Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first <em>Ptilodactyla</em> Illiger, 1807 records from Rovno amber of Ukraine. <em>Historical Biology</em>.</p>
Supplementary material S3. Ptilodactyla eocenica Kundrata, Bukejs and Blank, 2021, male, SIZK ZH-85, X-ray micro-CT volume rendering of the hind legs.
<p>Supplementary material S3 in paper: Telnov D., Perkovsky E.E., Kundrata R., Kairišs K., Vasilenko D.V., Bukejs A. Revealing Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first <em>Ptilodactyla</em> Illiger, 1807 records from Rovno amber of Ukraine. <em>Historical Biology</em>.</p>
X-ray computed tomography dataset of a walnut
<p>walnut_scan:</p> <ul> <li>scan performed with a conventional micro-CT</li> <li>1601 acquired projections as tiff stack</li> <li>info file containing corresponding metadata</li> </ul> <p> </p> <p>walnut_rec:</p> <ul> <li>reconstructed volume as tiff stack</li> <li>info file containing corresponding metadata</li> <li>reconstruction performed with pyXIT (see reference)</li> </ul> <p> </p>
X-ray diffraction images recorded for Aumonier et al., (2022) Slow protein dynamics probed by time-resolved oscillation crystallography at room temperature, IUCrJ
<p>The present repository contains diffraction images corresponding to 27 distinct datasets collected at room temperature on the ESRF beamline ID30A-3 using an Eiger X 4M detector.</p> <p>Datasets have been uploaded with their original names to maintain the metadata integrity. The two following tables match the original names with those attributed in the supplementary table S1 of Aumonier et al., IUCrJ (2022) (https://doi.org/10.1107/S2052252522009150).</p> <table> <tbody> <tr> <td> <p>Data set name on Zenodo</p> </td> <td> <p>X06_01</p> </td> <td> <p>X12_05</p> </td> <td> <p>X07_02_</p> </td> <td> <p>X06_08</p> </td> <td> <p>X14_06</p> </td> <td> <p>X13_03</p> </td> <td> <p>X08_06</p> </td> <td> <p>X11_05</p> </td> <td> <p>X13_05</p> </td> <td> <p>X06_02</p> </td> <td> <p>X11_01</p> </td> <td> <p>X08_01</p> </td> <td> <p>X14_01</p> </td> <td> <p>X13_01</p> </td> <td> <p>X06_03</p> </td> </tr> <tr> <td> <p>Data set in Aumonier et al. 2022</p> </td> <td> <p>Dark</p> </td> <td> <p>PS2</p> </td> <td> <p>PS2</p> </td> <td> <p>PS3</p> </td> <td> <p>PS4</p> </td> <td> <p>PS5</p> </td> <td> <p>PS6</p> </td> <td> <p>PS7</p> </td> <td> <p>R<sub>2”</sub></p> </td> <td> <p>R<sub>3”</sub></p> </td> <td> <p>R<sub>7”</sub></p> </td> <td> <p>R<sub>10”</sub></p> </td> <td> <p>R<sub>13”</sub></p> </td> <td> <p>R<sub>21”</sub></p> </td> <td> <p>R<sub>35”</sub></p> </td> </tr> </tbody> </table> <p> </p> <table> <tbody> <tr> <td> <p>Data set on Zenodo</p> </td> <td> <p>X08_02</p> </td> <td> <p>X11_02</p> </td> <td> <p>X12_02</p> </td> <td> <p>X14_02</p> </td> <td> <p>X13_04</p> </td> <td> <p>X13_02</p> </td> <td> <p>X12_06</p> </td> <td> <p>X06_09</p> </td> <td> <p>X09_04</p> </td> <td> <p>X12_04</p> </td> <td> <p>X06_07</p> </td> <td> <p>X13_07</p> </td> </tr> <tr> <td> <p>Data set in Aumonier et al. 2022</p> </td> <td> <p>R<sub>51”</sub></p> </td> <td> <p>R<sub>62”</sub></p> </td> <td> <p>R<sub>62”</sub></p> </td> <td> <p>R<sub>67”</sub></p> </td> <td> <p>R<sub>72”</sub></p> </td> <td> <p>R<sub>80”</sub></p> </td> <td> <p>R<sub>90”</sub></p> </td> <td> <p>R<sub>130”</sub></p> </td> <td> <p>R<sub>166”</sub></p> </td> <td> <p>R<sub>258”</sub></p> </td> <td> <p>R<sub>630”</sub></p> </td> <td> <p>R<sub>1620”</sub></p> </td> </tr> </tbody> </table> <p>One dataset consists of a master file, four data files and two metadata files.</p>
Text-fig. 8. Scanning electron micrographs (a–f, h) and X-ray microtomographic orthoslices (g) of flowers from Zliv-Řídká Blana locality. a: Taxon 27, epigynous flower, no. NM-F 4504; b: Taxon 30, epigynous flower, remains of two thick sepals, a massive nectary disk (arrowhead) and two styles, no. NM-F 3199; c: Taxon 29, flower with stamens have long filament, calyx (ca) and corolla (co), no. NM-F 3198; d: Taxon 32, flower, no. NM-F 4503; e–h: Taxon 14, e – hypogenous flower, no. NM-F 3196, f – floral bud with a thick pedicel, no. NM-F 3196, g – flower with gynoecium showing central placentation and several seeds, no. NMF 3196, h – flower with gynoecium showing several seeds, no. NM-F 4505. in Plant Mesofossils From The Late Cretaceous Klikov Formation, The Czech Republic
Text-fig. 8. Scanning electron micrographs (a–f, h) and X-ray microtomographic orthoslices (g) of flowers from Zliv-Řídká Blana locality. a: Taxon 27, epigynous flower, no. NM-F 4504; b: Taxon 30, epigynous flower, remains of two thick sepals, a massive nectary disk (arrowhead) and two styles, no. NM-F 3199; c: Taxon 29, flower with stamens have long filament, calyx (ca) and corolla (co), no. NM-F 3198; d: Taxon 32, flower, no. NM-F 4503; e–h: Taxon 14, e – hypogenous flower, no. NM-F 3196, f – floral bud with a thick pedicel, no. NM-F 3196, g – flower with gynoecium showing central placentation and several seeds, no. NMF 3196, h – flower with gynoecium showing several seeds, no. NM-F 4505.
Text-fig. 7. Scanning electron micrographs (a, b, d, e, g–k), X-ray microtomographic orthoslices (c) and synchrotron radiation X-ray tomographic microscopy orthoslices (f) of fruits and endocarps of uncertain affinity from Zliv-Řídká Blana locality. a–c: Trebecenia sarcocalis, a – tricarpellate fruit, no. NM-F 3637, b – fruits supported by pentamerous and persistent calyx, no. NMF 3637, c – fruit almost circular in transverse section, no. NM-F 3637; d: Taxon 17, small fruit with slightly sunken stylar region, no. NM-F 3201; e: Taxon 19, spherical fruit, the fruit wall composed of large isodiametric, thick walled cells, no. NM-F 3181; f: Taxon 19, single-seeded fruit, no. NM-F 3621; g: Taxon 20, syncarpous, multicarpellate fruit of ten carpels, no. NM-F 3200; h: Taxon 22, syncarpous, multicarpellate fruit of seven carpels, no. NM-F 3159; i: cf. Sabia menispermoides, endocarp of drupaceous fruits, no. NM-F 4624; j: Taxon 25, endocarp triangular in cross-section, no. NM-F 3218; k: Taxon 24, endocarp spherical in cross-section with a distinctly ribbed and foveolate surface, no. NM-F 3217. in Plant Mesofossils From The Late Cretaceous Klikov Formation, The Czech Republic
Text-fig. 7. Scanning electron micrographs (a, b, d, e, g–k), X-ray microtomographic orthoslices (c) and synchrotron radiation X-ray tomographic microscopy orthoslices (f) of fruits and endocarps of uncertain affinity from Zliv-Řídká Blana locality. a–c: Trebecenia sarcocalis, a – tricarpellate fruit, no. NM-F 3637, b – fruits supported by pentamerous and persistent calyx, no. NMF 3637, c – fruit almost circular in transverse section, no. NM-F 3637; d: Taxon 17, small fruit with slightly sunken stylar region, no. NM-F 3201; e: Taxon 19, spherical fruit, the fruit wall composed of large isodiametric, thick walled cells, no. NM-F 3181; f: Taxon 19, single-seeded fruit, no. NM-F 3621; g: Taxon 20, syncarpous, multicarpellate fruit of ten carpels, no. NM-F 3200; h: Taxon 22, syncarpous, multicarpellate fruit of seven carpels, no. NM-F 3159; i: cf. Sabia menispermoides, endocarp of drupaceous fruits, no. NM-F 4624; j: Taxon 25, endocarp triangular in cross-section, no. NM-F 3218; k: Taxon 24, endocarp spherical in cross-section with a distinctly ribbed and foveolate surface, no. NM-F 3217.
ScienceDex guides
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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.