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2,001 results for “x-rays”
Comparing the compression behavior of the antiperovskites CePt3Si, CePt3B, and YPt3B from combined X-ray diffraction experiments and density functional theory
<p>DFT data for the paper:</p> <p><strong>Comparing the compression behavior of the antiperovskites CePt3Si, CePt3B, and YPt3B from combined X-ray diffraction experiments and density functional theory</strong></p> <p><em>Emma Ehrenreich-Petersen (a) , Morten B. Nielsen (a,b) , Davide Ceresoli (c), Martin Ottesen (a) , Paraskevas Parisiades (d) , Martin Bremholm (a)</em><br><br>(a) Department of Chemistry and iNANO, Aarhus University, Langelandsgade 140, 8000, Aarhus C, Denmark<br>(b) Danish Technological Institute, Kongsvang Allé 29, 8000, Aarhus C, Denmark<br>(c) Consiglio Nazionale delle Ricerche - Istituto di Scienze e Tecnologie Chimiche “G. Natta” (CNR-SCITEC), via Golgi 19, 20133, Milano, Italy<br>(d) Sorbonne Université, Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, CNRS/MNHN/IRD (UMR 7590), 4 Place Jussieu, 75005, Paris, France</p>
VinDr Chest X-ray Datset
<p>This zip file contains train and test data of VinDr Chest X-ray images.</p>
Exploring the chemical and structural change of copper porphyrins upon charging by means of synchrotron X-ray absorption spectroscopy
<h2><span>Abstract</span></h2> <p><span>In response to the growing demand for battery materials, researchers explore alternative resources with a focus on sustainability. Among these, organic electrode materials—including porphyrins—have emerged as promising candidates due to their advantageous properties, such as rapid charging capabilities and high energy densities. However, despite their potential, the precise charging mechanism of these alternatives remains elusive. To address this gap, our study delved into copper porphyrins, with a primary focus on [5,15-bis(ethynyl)-10,20-diphenylporphinato] copper(II) (CuDEPP). Employing synchrotron X-ray absorption spectroscopy in <em>operando</em> mode, we probed the evolution in chemical and electronic structure of Cu in CuDEPP. Our findings unequivocally demonstrate the participation of copper as a redox center during reversible charge storage, shedding light on its superior electrochemical performance. Furthermore, a combined approach involving extended X-ray absorption fine structure (EXAFS) studies and theoretical calculations provided deeper insights into the observed structural distortion during the charge storage process. Notably, our results support the hypothesis that redox processes, specifically those involving the aromatic porphyrin ring, drive the electrochemical activity of CuDEPP. In summary, our investigation offers important insights into the charging mechanism of copper porphyrins—an essential step toward advancing sustainable organic materials for batteries. </span></p>
IODP Expedition 378 X-ray fluorescence (XRF)
Elemental peak intensities in section halves were measured by an Avaatech X-ray fluorescence (XRF) Core Scanner postexpedition. Each measurement position may be measured at multiple XRF conditions in order to excite and measure specific ranges of elements (e.g., 10 kV and no filter for light elements). Peak intensity changes (concentrations not provided) are then used to help recognize and define major chemostratigraphic units without the need for destructive sampling. Data are presented in comma-delimited (CSV) files by section and by energy/instrumental conditions.
Chest X-Ray Image Dataset: A Resource for Medical Diagnosis and Machine Learning
<p>The Chest X-Ray Image Dataset is an extensive collection designed to support medical research and the development of diagnostic tools for COVID-19 detection. It consists of two distinct classes: COVID-19 affected X-ray images and normal X-ray images of the chest area, each covering the full lungs. This dataset provides a diverse range of X-ray images, capturing the unique characteristics of both healthy and COVID-19 affected lungs, making it an invaluable resource for training and testing machine learning models in medical image classification and analysis.</p>
XMM spectra of eruptions and quiescence used in the paper titled "Alive and Strongly Kicking: Stable X-ray Quasi-Periodic Eruptions from eRO-QPE2 over 3.5 Years"
<p>The gz file has a folder containing 10 sets of spectra (two per XMMID: one using data from eruptions and one from quiescence). Each one has a corresponding rmf, arf and a background file.</p> <p>The files of the format: <span>PN_Grouped_spectrumXX...fits are xspec ready. They are grouped with specgroup task of XMMSAS with mincounts=1 oversample=3. Thus, cstat is recommended while fitting in XSPEC.</span></p> <p><span>Alternatively, the original source spectra (</span><span>PN_SPEC_SRCBKGXXX...fits) are also available so that the user can bin them as per their requirement.</span></p> <p><span>The background spectra have the following naming sequence: </span><span>PN_SPEC_BKGXX</span></p> <p> </p> <p><span>XX = "hi" ==> eruption spectra</span></p> <p><span>XX = "low" ==> quiescence spectra</span></p> <p><span>The numbers 1...5 correspond to XMM obsIDs as follows:</span></p> <p><span>1: </span><span>0872390101</span></p> <p><span>2: 0883770201</span></p> <p><span>3: 0893810501</span></p> <p><span>4: 0932590101</span></p> <p><span>5: 0932590201</span></p> <p> </p>
X-ray CT based FEM model data of non-crimp fabric based fibre composite
<p>The current data is published alongside the below ECCM 2018 conference contribution:</p> <p>Jespersen, K. M., Asp, L. E., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). X-ray tomography based finite element modelling of non-crimp fabric based fibre composite. In 18th European Conference on Composite Materials (pp. 1–8).</p>
qFit-ligand reveals widespread conformational heterogeneity of drug-like molecules in X-ray electron density maps
<p>Benchmark dataset and prospective cases tested for the development of <em>qFit-ligand</em>. Files included: refined single conformer models, un-refined qFit-ligand multiconformer models, and refined qFit-ligand multiconformer models. </p>
Single Crystal X-ray Diffraction Data for mixed PMP/PLP internal aldimine form of Sphingopyxis sp. MTA144 FumI protein
<p>Single Crystal X-ray Diffraction Data for mixed PMP/PLP internal aldimine form of Sphingopyxis sp. MTA144 FumI protein collected at Diamond Light Source, Beamline I04, 2017-09-09</p>
uploaded files: Correlative microscopy approach for biology using x-ray holography, x-ray scanning diffraction and STED microscopy
<p>The data uploaded here corresponds to a manuscript on x-ray /STED correlative imaging by the same authors published under the same title in Nature Communications in 2018.</p> <p>The provided data are subdivided into three parts:<br> 1. The 01_STED_fig2a.mat file contains the main results shown in Fig.2a (main article) as variables:<br> - STED_micrograph: the STED micrograph with each pixel representing single photon counts<br> - STED_dwell_time: the dwell time at each pixel position</p> <p>2. The 02_HOLO_fig2b.mat file contains the main results shown in Fig.2b (main article) as variables:<br> - I: the emptyimage devided, but not yet filtered hologram<br> - geo: a structure including the geometrical magnification M, the fresnel-number F, the waveguide-sample-distance z01, the sample-detector-distance z12, the effective propagation distance z_eff and the effective pixelsize dxeff<br> - lambda: the wavelength used for all x-ray experiments<br> - phi_raar: the reconstructed phasemap. Note, that for depicting the phase shifts, the matlab command angle(phi_raar) has to be used</p> <p>3. The 03_SCANNING_fig2c.mat file contains the main results shown in Fig.2c (main article) and Fig.4 (inset) as variables:<br> - darkfield: the x-ray dark field map of the scan area<br> - sSAXS_dwell_time: the dwell time for each scan point<br> - mask: the dark field mask applied on the diffraction patterns<br> - single_diff_image: a single diffraction pattern</p>
X-Ray diffraction images for the crystal structure of the motor domain of human kinesin family member 22
<p>This dataset underlies Protein Data Bank entry 3BFN. Diffraction images are accompanied by HKL-3000 data reduction scripts and output files.</p>
X-ray patterns for new compound K2BaCa(PO4)2
<p>X-ray patterns for new compound K2BaCa(PO4)2</p>
Time-lapse helical X-ray computed tomography (CT) data of tensile fatigue damage in GFRP
<p>The X-ray CT data here is published with the paper - </p> <p>Wang, Y.; Mikkelsen, L.P.; Pyka, G.; Withers, P.J. Time-Lapse Helical X-ray Computed Tomography (CT) Study of Tensile Fatigue Damage Formation in Composites for Wind Turbine Blades. <em>Materials</em> <strong>2018</strong>, <em>11</em>, 2340.</p> <p>https://doi.org/10.3390/ma11112340</p> <p>More information about the data and the material can be found in the paper above.</p> <p> </p> <p>If using the data here, please cite the above paper.<em> </em></p> <p>Contact details for author: Ying Wang, ying.wang-4@manchester.ac.uk</p>
Are there pre-main-sequence/black hole X-ray binaries?
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018MNRAS.480.3856X/abstract">Are there pre-main-sequence/black hole X-ray binaries?</a></p>
On the Origin of Black Hole Spin in High-mass X-Ray Binaries
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2019ApJ...870L..18Q">On the Origin of Black Hole Spin in High-mass X-Ray Binaries</a></p>
X-ray diffraction images for Thiazole synthase from M. thermolithotrophicus.
<p>Anomalous data collected at ESRF (Grenoble, France) using beamline ID23-1. The crystal (Crystal form 3) was in the presence of the crystallophore Tb-Xo4.</p> <p> </p> <p>Related Publication: Engilberge et al. (2019)</p>
X-ray diffraction images for Adenylate kinase from M. thermolithotrophicus.
<p>Anomalous data collected at ESRF (Grenoble, France) using beamline ID23-1. The crystal was in the presence of the crystallophore Tb-Xo4.</p> <p> </p> <p>Related Publication: Engilberge et al. (2019)</p> <p>Data collection:</p> <p> Detector: PILATUS 6M. </p> <p> OSCILLATION_RANGE= 0.1000</p> <p> X-RAY_WAVELENGTH= 1.64862</p> <p> DETECTOR_DISTANCE= 183.94</p>
X-ray diffraction images for coenzyme F420H2 oxidase (FprA) from M. thermolithotrophicus.
<p>Anomalous data collected at SOLEIL (Saint Aubin, France) using beamline PROXIMA-2. The crystal (Crystal form 1) was in the presence of the crystallophore Tb-Xo4.</p> <p> </p> <p>Related Publication: Engilberge et al. (2019)</p> <p> </p> <p>Partial XDS file:</p> <p> OSCILLATION_RANGE= 0.10000000149 </p> <p> STARTING_ANGLE= 0.0 </p> <p> STARTING_FRAME= 1 </p> <p> X-RAY_WAVELENGTH= 1.648507 </p> <p> DETECTOR_DISTANCE= 102.540 </p> <p> DETECTOR= EIGER MINIMUM_VALID_PIXEL_VALUE= 0 OVERLOAD= 44419 </p> <p> DIRECTION_OF_DETECTOR_X-AXIS= 1.0 0.0 0.0 </p> <p> DIRECTION_OF_DETECTOR_Y-AXIS= 0.0 1.0 0.0 </p> <p> NX= 3110 NY= 3269 QX= 0.0750000035623 QY= 0.0750000035623 </p> <p> ORGX= 1509.33483887 ORGY= 1655.37805176 </p> <p> ROTATION_AXIS= 1.000000 0.000000 0.000000 </p> <p> INCIDENT_BEAM_DIRECTION= 0.0 0.0 1.0</p>
X-ray dataset for "Illumination improvements for high-resolution ptychography"
<p>We provide X-ray ptychography datasets used for publication "Illumination improvements for high-resolution ptychography"</p> <p>The provided datasets are stored in Matlab MAT files and they contain:<br> measured_intensities uint16 - photon counts measured by a 2D hybrid-pixel detector in every scanning position <br> probe_positions double - relative probe position already converted to units of the real-space pixel shift<br> detector_mask logical - mask which is true for good pixel and false for ignored (bad or missing) pixels<br> initial_probe complex double - initial estimate of the reconstruction probe</p> <p>The pixel size for the FCC_particle datasets is 27.43nm and for the siemens_star datasets it is 9.97x14.16nm</p> <p> </p>
X-ray Binary Luminosity Function Scaling Relations for Local Galaxies Based on Subgalactic Modeling
<p>Property maps (SFR and M*) and processed Chandra images for the 38 galaxies from Lehmer et al. (2019).</p>
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.