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ShareScore release 0.7.1
Dataset results
750 results for “coherence”
Lithotripsy Versus Balloon Angioplasty for Optimal Treatment of CAlcified Lesions With and Without Optical Coherence Tomography evaluatION
ClinicalTrials.gov study NCT07388030. IPD Sharing: NO. Countries: 1. Publications: 0.
Over 80 years without major disturbance, late successional Białowieża woodlands exhibit complex dynamism, with coherent compositional shifts towards true old‐growth conditions
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Data from: Quantifying changes on optical coherence tomography in eyes receiving treatment for neovascular age-related macular degeneration
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Quantifying the influence of optical coherence tomography beam tilt in the normal adult mouse retina
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Data for: Coherent long-term body-size responses across all Northwest Atlantic herring populations to warming and environmental change despite contrasting harvest and ecological factors
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Basic self-disturbances are associated with sense of coherence in patients with psychotic disorders
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Non-invasive investigation of the morphology and optical properties of the upside-down jellyfish Cassiopea with optical coherence tomography
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Room-temperature quantum coherence of entangled multiexcitons in a metal-organic framework
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Data from: Is retina affected in Huntington's disease? Is optical coherence tomography a good biomarker?
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Data from: Coherent evolution of superexchange interaction in seconds long optical clock spectroscopy
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Data from: Ultrafast, all-optical coherence of molecular electron spins in room-temperature, water solution
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Coherent acoustic frequency comb via floquet engineering of optical tweezer phonon lasers
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Data from: Treefrogs exploit temporal coherence to form perceptual objects of communication signals
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Exact kinetic propagators for coherent state complex Langevin simulations
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CCoDaMiC: A framework for Coherent Coordination of Data Migration and Computation platforms
<p>This dataset release supports the results presented in the paper</p> <p><strong>Chinmaya Kumar Dehury</strong>, Satish Narayana Srirama, Tek Raj Chhetri, CCoDaMiC: A Framework for Coherent Coordination of Data Migration and Computation Platforms. Future Generation Computer Systems</p> <p>URL: https://www.sciencedirect.com/science/article/pii/S0167739X19330924</p> <p> </p>
Data for "Coherence-Guided InSAR Deformation Analysis in the Presence of Ongoing Land Surface Change in the Imperial Valley, California"
<p>Interferometric Synthetic Aperture Radar (InSAR) observations of the surface velocity field in the Imperial Valley, California, over the period of 2015-2019, derived from the European Satellite Agency’s (ESA) Sentinel-1a/b satellite imagery.</p> <p>This dataset includes the following:</p> <p>1. Downsampled results in geographic coordinates (a grid spacing of 2”). The average (secular) velocity (in mm/yr) is estimated along the satellite line-of-sight (LOS) directions from descending (D173) and ascending (A166) tracks over the spatial extent covering the Imperial Valley (S/N/W/E: 32.4/33.6/-116.2/-115). GeoTIFF files contain velocity values or color-coded RGB values using the Matplotlib colormap RdBu_r (ranging from -25 to 25 mm/yr). Masked pixels are assigned with NaN values.</p> <p>2. Original high-resolution results processed in radar coordinates (~28 m in range and ~42 m in azimuth). HDF5 files contain matrices of the same size for the longitude, latitude, LOS secular velocity, and LOS residual displacements at each ground pixel from both tracks. The temporal error of displacement time series at each pixel (in mm) is represented by the root-mean-square residual of data fits to a linear trend. Masked pixels are assigned with NaN values.</p>
Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning
<p><strong>Purpose:</strong> To apply a deep learning algorithm for automated, objective, and comprehensive quantification of optical coherence tomography (OCT) scans to a large real-world dataset of eyes with neovascular age-related macular degeneration (AMD), and make the raw segmentation output data openly available for further research.</p> <p><strong>Design:</strong> Retrospective analysis of OCT images from the Moorfields Eye Hospital AMD Database.</p> <p><strong>Participants:</strong> 2473 first-treated eyes and another 493 second-treated eyes that commenced therapy for neovascular AMD between June 2012 and June 2017.</p> <p><strong>Methods:</strong> A deep learning algorithm was used to segment all baseline OCT scans. Volumes were calculated for segmented features such as neurosensory retina (NSR), drusen, intraretinal fluid (IRF), subretinal fluid (SRF), subretinal hyperreflective material (SHRM), retinal pigment epithelium (RPE), hyperreflective foci (HRF), fibrovascular pigment epithelium detachment(fvPED), and serous PED (sPED). Analyses included comparisons between first and second eyes, by visual acuity (VA) and by race/ethnicity, and correlations between volumes.</p> <p><strong>Main outcome measures:</strong> Volumes of segmented features (mm3), central subfield thickness (CST).</p> <p><strong>Results:</strong> In first-treated eyes, the majority had both IRF and SRF (54.7%). First-treated eyes had greater volumes for all segmented tissues, with the exception of drusen, which was greater in second-treated eyes. In first-treated eyes, older age was associated with lower volumes for RPE, SRF, NSR and sPED; in second-treated eyes, older age was associated with lower volumes of NSR, RPE, sPED, fvPED and SRF. Eyes from black individuals had higher SRF, RPE and serous PED volumes, compared with other ethnic groups. Greater volumes of the vast majority of features were associated with worse VA.</p> <p><strong>Conclusion:</strong> We report the results of large scale automated quantification of a novel range of baseline features in neovascular AMD. Major differences between first and second-treated eyes, with increasing age, and between ethnicities are highlighted. In the coming years, enhanced, automated OCT segmentation may assist personalization of real-world care, and the detection of novel structure-function correlations. These data will be made publicly available for replication and future investigation by the AMD research community.</p>
Data to accompany S. Boissier et al., "Coherent characterisation of a single molecule in a photonic black box," (2020)
<p>Data to accompany S. Boissier et al., "Coherent characterisation of a single molecule in a photonic black box," (2020). Data is in csv format and the "README.txt" file provides further details.</p>
Coherent map
<p><strong>Figure 1-5.</strong> <strong>(A)</strong> A twelve-lead electrocardiogram of a PVC and sinus rhythm, and intracardiac electrograms at the successful ablation site. A presystolic potential during the PVC and late potential during SR are recorded by the ablation catheter. The late potential during SR was eliminated after the successful ablation. Coherent vector activation maps annotating the onset of the presystolic potentials during the PVC <strong>(B)</strong> and the offset of the late potentials during SR<strong> (C)</strong>. The ablation catheter at the successful ablation site is shown in the figure. The case number is corresponded to the figure number, except the 2 PVCs (Figures 4 and 5) from the case 4.</p> <p>SR, sinus rhythm; PVC, premature ventricular contraction; LCC, left coronary cusp; RCC, right coronary cusp; ABL, ablation.</p>
Replication Data for: OPTICAL COHERENCE TOMOGRAPHY IDENTIFIES LOWER LABIAL SALIVARY GLAND SURFACE DENSITY IN CYSTIC FIBROSIS
<p>Swept-source optical coherence tomography images of the mucosa of the lower lip acquired in 18 cystic fibrosis patients (CF.zip, includes an XLS file with additional data) and 18 healthy volunteers (HS.zip). Within the volumetric datasets consisting of sets of images the labial salivary glands can be identified.</p> <p>Authors: Nowak JK, Grulkowski I, Karnowski K, Wojtkowski M, Walkowiak J.<br /> When using the data, please always refer to the original paper (currently under review in PLOS ONE; title as specified above).</p> <p>The methodology used to obtain the volumetric datasets is described in:<br /> Grulkowski I, Nowak JK, Karnowski K, Zebryk P, Puszczewicz M, Walkowiak J, Wojtkowski M. Quantitative assessment of oral mucosa and labial minor salivary glands in patients with Sjögren’s syndrome using swept source OCT. Biomedical Optics Express, Vol. 5, Issue 1, pp. 259-274 (2014). DOI: http://dx.doi.org/10.1364/BOE.5.000259</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.