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Dataset results
15 results for “Distortion correction”
One-minute average horizontal wind velocity data (not corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains the one-minute average horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4. The data has been filtered for spurious observations and the true wind correction has been redone using the quality checked one-minute ship track velocity data. This data set has not been corrected for air-flow distortion, which was caused by the ship's super structure. The flow-distortion corrected data should be used for studies interested in the actual true wind speed near the ship's location.</p> <p><strong>Dataset contents</strong></p> <ul> <li>wind-observations-stbd-uncorrected-5min-legs0-4.csv, data file, comma-separated values</li> <li>wind-observations-port-uncorrected-5min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This one-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Data supporting Tutorial: EPI Distortion Correction
<p>This data support Tutorial: EPI Distortion Correction by Barbara Dymerska for the Weekend Course during the ISMRM 2023 session: Artifacts & Correction Strategies on Sunday, 04 June 2023:</p> <p>https://github.com/fil-physics/ISMRM2023_educational</p> <p> </p>
Five-minute average horizontal wind velocity data combined from both sensors (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.
<p><strong>Dataset abstract</strong></p> <p>The horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4 has been corrected for air-flow distortion. The measurements from both the port and starboad side anemometer were averaged to five-minute resolution and have been combined via vector averaging of the data. The ten meter neutral wind speed (U10N) has been estimated using ERA-5 surface heat fluxes, which were interpolated onto the ship's track, and the COARE 3.5 drag coefficient. This data set provides a continous and high-resolution record of the wind speed and direction near to the ship's location.</p> <p><strong>Dataset contents</strong></p> <ul> <li>wind-observations-port-stbd-corrected-combined-5min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This five-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
One-minute average horizontal wind velocity data (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.
<p><strong>Dataset abstract</strong></p> <p>One-minute average horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4. The data has been filtered for spurious observations and the true wind correction has been redone using the quality checked one-minute ship track velocity data. The data has been corrected for air-flow distortion, which was caused by the ship's super structure.</p> <p><strong>Dataset contents</strong></p> <ul> <li>wind-observations-stbd-corrected-1min-legs0-4.csv, data file, comma-separated values</li> <li>wind-observations-port-corrected-1min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This one-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Data from: Correction of preferred-orientation induced distortion in cryo-electron microscopy maps
<p>Reconstruction maps of cryo-electron microscopy (cryo-EM) exhibit distortion when the cryo-EM dataset is incomplete, usually caused by unevenly distributed orientations. Prior efforts had been attempted to address this preferred orientation problem using tilt-collection strategy, modifications to grids or to air-water-interfaces. However, these approaches often require time-consuming experiments and the effect was always protein dependent. Here, we developed a procedure containing removing mis-aligned particles and an iterative reconstruction method based on signal-to-noise ratio of Fourier component to correct such distortion by recovering missing data using a purely computational algorithm. This procedure called Signal-to-Noise Ratio Iterative Reconstruction Method (SIRM) was applied on incomplete datasets of various proteins to fix distortion in cryo-EM maps and to a more isotropic resolution. In addition, SIRM provides a better reference map for further reconstruction refinements, resulting in an improved alignment, which ultimately improves map quality and benefits model building.</p>
Tomographic data for demonstrating distortion correction methods
<p>Datasets were used to demonstrate the improvement of a tomographic data after distortion correction was applied.</p> <p>Details in the conference paper: </p> <p>Nghia T. Vo, Robert C. Atwood, and Michael Drakopoulos "Preprocessing techniques for removing artifacts in synchrotron-based tomographic images", Proc. SPIE 11113, Developments in X-Ray Tomography XII, 111131I (10 September 2019); https://doi.org/10.1117/12.2530324</p> <p>Distortion coefficients were calculated using vounwarp package: </p> <p><a href="https://github.com/DiamondLightSource/vounwarp/blob/master/vounwarp/examples/example_01.py">https://github.com/DiamondLightSource/vounwarp/blob/master/vounwarp/examples/example_01.py</a></p> <p>Slices can be reconstructed using the <a href="https://github.com/DiamondLightSource/Savu">Savu</a> pipeline: <a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/corrections/dark_flat_field_correction.py">flat-field correction</a>, <a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/corrections/distortion_correction_dev.py">distortion correction</a>, <a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/centering/vo_centering.py">center of rotation calculation</a>, <a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/ring_removal/remove_all_rings.py">ring artifact removal</a>, and<a href="https://github.com/DiamondLightSource/Savu/blob/master/savu/plugins/reconstructions/astra_recons/astra_recon_gpu.py"> FBP reconstruction</a>.</p>
Data from: Correction of preferred-orientation induced distortion in cryo-electron microscopy maps
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Data for "TrueEBSD: correcting spatial distortions in electron backscatter diffraction maps"
<p>Data for "TrueEBSD: correcting spatial distortions in electron backscatter diffraction maps" published in Ultramicroscopy.</p> <p>Journal DOI: <a href="https://doi.org/10.1016/j.ultramic.2020.113130">https://doi.org/10.1016/j.ultramic.2020.113130</a>;<br> Preprint DOI: <a href="https://arxiv.org/abs/1909.00347">https://arxiv.org/abs/1909.00347</a>.</p> <p>The zipped folder contains:</p> <ol> <li>Readme (text file)</li> <li>'Ti-64' data subfolder: data for one of the maps in the Ti-64 map stitching example</li> <li>'ZrH' data subfolder: data for the hydride-containing Zircaloy-4 example</li> <li>'CP-Zr' data subfolder: data for the in-situ deformed Zr example</li> <li> 'MATLAB scripts' subfolder: TrueEBSD source code.</li> </ol> <p> </p> <p>Each data subfolder contains:</p> <ul> <li>Input image files</li> <li>EBSD orientation files in Bruker CTF format</li> <li>'Outputs' subfolder containing output figures as image files.</li> </ul> <p>The 'MATLAB scripts' subfolder contains TrueEBSD source code:</p> <ul> <li>The primary user interface is 'input_deck.m'. Most user settings can be changed here. <ul> <li>The input deck entries here have been pre-filled for the Ti-64 dataset.</li> </ul> </li> <li>To use TrueEBSD, run 'input_deck.m' in MATLAB.</li> <li>The method is outlined in 'main.m', which calls functions in 'MATLAB scripts\code\'.</li> </ul>
Correction to "Detecting distortions of peripherally presented letter stimuli under crowded conditions"
<p>We discovered a bug in the code producing radial frequency distortions for our paper</p> <p>Wallis, T. S. A., Tobias, S., Bethge, M., & Wichmann, F. A. (2017). Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception, & Psychophysics. https://doi.org/10.3758/s13414-016-1245-x</p> <p>In this correction, we fixed the bug, remeasured data for Experiment 1 from the paper, and found that our substantive conclusions remain.</p>
Effects of 8-weeks Systematic Corrective Exercise Program in Pronation Distortion Syndrome
ClinicalTrials.gov study NCT05347186. IPD Sharing: NO. Countries: 1. Publications: 8.
Text-fig. 1. Eospondylus primigenius (STÜRTZ) Bundenbach, Eschenbach-Bocksberg quarry, Lower Devonian, Lower Emsian (Zlichovian), Hunsrück Slate, specimens PWL 1996 57LS (NMM) top image (A) x 1.5, and PWL 1996 66LS (NMM) bottom image (B) x 1.7. Specimen with rays bent into strong curves. Such flexibility and attitudes of rays differentiate the behavioral ecology of Eospondylus from all other Hunsrück Slate ophiuroids. Delicateness of the top specimen and robustness of the bottom specimen is perhaps the combined result of real phenotypic differences, differences of preserved detail, and differences of distortion of the rock. [courtesy of Herbert Lutz and Thomas Engel; photos by Alexander Glass]. in Isolated Ossicles Of The Family Eospondylidae Spencer Wright, 1966, In The Lower Devonian Of Bohemia (Czech Republic) And Correction Of The Systematic Position Of Eospondylid Brittlestars (Echinodermata: Ophiuroidea: Oegophiurida)
Text-fig. 1. Eospondylus primigenius (STÜRTZ) Bundenbach, Eschenbach-Bocksberg quarry, Lower Devonian, Lower Emsian (Zlichovian), Hunsrück Slate, specimens PWL 1996 57LS (NMM) top image (A) x 1.5, and PWL 1996 66LS (NMM) bottom image (B) x 1.7. Specimen with rays bent into strong curves. Such flexibility and attitudes of rays differentiate the behavioral ecology of Eospondylus from all other Hunsrück Slate ophiuroids. Delicateness of the top specimen and robustness of the bottom specimen is perhaps the combined result of real phenotypic differences, differences of preserved detail, and differences of distortion of the rock. [courtesy of Herbert Lutz and Thomas Engel; photos by Alexander Glass].
Data_Effects_and_correctability_of_pile_up_distortion_using_established_figures_of_merit_in_time_domain_diffuse_optics_at_extreme_photon_rates
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UNDISTORT Correction of Distortions in Diffusion MRI V1.0
ClinicalTrials.gov study NCT03151512. IPD Sharing: NO. Countries: 1. Publications: 0.
Prostate Diffusion Imaging With Distortion Correction
ClinicalTrials.gov study NCT06185478. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Distortion Correction Data Collection (DCDC) App Software
ClinicalTrials.gov study NCT02337647. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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