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Dataset results
285 results for “Computational analysis”
Effect of space diffuser on flow characteristics of a centrifugal pump by computational fluid dynamic analysis
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Improvements in airflow characteristics and effect on the NOSE score after septoturbinoplasty: A computational fluid dynamics analysis
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Link to dataset related to article "Development, application and computational analysis of high-dimensional fluorescent antibody panels for single-cell flow cytometry"
<p>The interrogation of single cells is revolutionizing biology, especially our understanding of the immune system. Flow cytometry is still one of the most versatile and high-throughput approaches for single-cell analysis, and its capability has been recently extended to detect up to 28 colors, thus approaching the utility of cytometry by time of flight (CyTOF). However, flow cytometry suffers from autofluorescence and spreading error (SE) generated by errors in the measurement of photons mainly at red and far-red wavelengths, which limit barcoding and the detection of dim markers. Consequently, development of 28-color fluorescent antibody panels for flow cytometry is laborious and time consuming. Here, we describe the steps that are required to successfully achieve 28-color measurement capability. To do this, we provide a reference map of the fluorescence spreading errors in the 28-color space to simplify panel design and predict the success of fluorescent antibody combinations. Finally, we provide detailed instructions for the computational analysis of such complex data by existing, popular algorithms (PhenoGraph and FlowSOM). We exemplify our approach by designing a high-dimensional panel to characterize the immune system, but we anticipate that our approach can be used to design any high-dimensional flow cytometry panel of choice. The full protocol takes a few days to complete, depending on the time spent on panel design and data analysis.</p> <p> </p> <p> </p> <p>link related to dataset: https://flowrepository.org/id/FR-FCM-ZYV3</p>
Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabrics reinforced composites
<p>Data behind the publications:</p> <p>Auenhammer, R.M., Mikkelsen, L.P., Asp, L., Blinzler, B. Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabric reinforced composites. <em>Composite Structures, </em><strong>256</strong>, 113136, <a href="https://doi.org/10.1016/j.compstruct.2020.113136">https://doi.org/10.1016/j.compstruct.2020.113136</a>, 2021.</p> <p>Auenhammer, Robert M., Lars P. Mikkelsen, Leif E. Asp, Brina J. Blinzler, Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process, <em>Data in Brief, </em><strong>33</strong>, 106518, <a href="https://doi.org/10.1016/j.dib.2020.106518">https://doi.org/10.1016/j.dib.2020.106518</a>, 2020.</p> <p>Auenhammer, R.M., L.P. Mikkelsen, L.E. Asp, B.J. Blinzler, X-ray tomography based numerical analysis of stress concentrations in non-crimp fabric reinforced composites - assessment of segmentation methods. <em>IOP Conf. Ser.: Mater. Sci. Eng.</em> <strong>942</strong>, 012038, <a href="https://doi.org/10.1088/1757-899X/942/1/012038">https://doi.org/10.1088/1757-899X/942/1/012038</a>, 2020</p> <p>The data-set contain data from three samples: A, E and G. </p> <p>For each sample the data are saved in the follow format</p> <ul> <li>X-ray scan: nii-files</li> <li>SEM scan: tif-files</li> <li>Abaqus files: inp-files </li> <li>X-ray setting: pdf-files</li> <li>SEM settings: hdr-ascii files</li> </ul> <p> </p>
Raw data on computational analysis the relationships of energy and mechanical properties with sensitivity for 1, 1-diamino-2, 2-dinitroethene based polymer bonded explosives
<p>The dataset provides raw data on key properties in the text as well as raw data on the temperature and energy balances of the P, P1, P2, P3 and P4 systems at room temperature. These data allow the results obtained in the article to be reproduced, while the reader can obtain the raw data for the plots not labeled with data in the article and thus quantify the exact magnitude of the changes shown in the plots. The main work of the article is: Molecular dynamics (MD) simulations have been applied to investigate 1, 1-diamino-2, 2-dinitroethene (FOX-7) crystal and FOX-7(011)-based polymer-bonded explosives (PBXs) with four typical polymers, polyethylene glycol (PEG), fluorine-polymer (F<sub>2603</sub>), ethylene-vinyl acetate copolymer (EVA) and ester urethane (ESTANE5703) under COMPASS force field. Binding energy (E<sub>bind</sub>), cohesive energy density (CED), initiation bond length distribution, radial distribution function, and isotropic mechanical properties of FOX-7 and its PBXs at different temperatures were reported for the first time, and the relationship between them and sensitivity. Using quantum chemistry, FOX-7 was optimized with the four polymers at the B3LYP/6-311++G(d,p) level, and the structure and RDG of the optimized composite system were analyzed.</p>
Data from: Use of anisotropy, 3D segmented atlas, and computational analysis to identify gray matter subcortical lesions common to concussive injury from different sites on the cortex
Traumatic brain injury (TBI) can occur anywhere along the cortical mantel. While the cortical contusions may be random and disparate in their locations, the clinical outcomes are often similar and difficult to explain. Thus a question that arises is, do concussions at different sites on the cortex affect similar subcortical brain regions? To address this question we used a fluid percussion model to concuss the right caudal or rostral cortices in rats. Five days later, diffusion tensor MRI data were acquired for indices of anisotropy (IA) for use in a novel method of analysis to detect changes in gray matter microarchitecture. IA values from over 20,000 voxels were registered into a 3D segmented, annotated rat atlas covering 150 brain areas. Comparisons between left and right hemispheres revealed a small population of subcortical sites with altered IA values. Rostral and caudal concussions were of striking similarity in the impacted subcortical locations, particularly the central nucleus of the amygdala, laterodorsal thalamus, and hippocampal complex. Subsequent immunohistochemical analysis of these sites showed significant neuroinflammation. This study presents three significant findings that advance our understanding and evaluation of TBI: 1) the introduction of a new method to identify highly localized disturbances in discrete gray matter, subcortical brain nuclei without postmortem histology, 2) the use of this method to demonstrate that separate injuries to the rostral and caudal cortex produce the same subcortical, disturbances, and 3) the central nucleus of the amygdala, critical in the regulation of emotion, is vulnerable to concussion.
Data from: A gateway for phylogenetic analysis powered by grid computing featuring GARLI 2.0
We introduce molecularevolution.org, a publicly available gateway for high-throughput, maximum likelihood phylogenetic analysis powered by grid computing. The gateway features a garli 2.0 web service that enables a user to quickly and easily submit thousands of maximum likelihood tree searches or bootstrap searches that are executed in parallel on distributed computing resources. The garli web service allows one to easily specify partitioned substitution models using a graphical interface, and it performs sophisticated post-processing of phylogenetic results. Although the garli web service has been used by the research community for over three years, here we formally announce the availability of the service, describe its capabilities, highlight new features and recent improvements, and provide details about how the grid system efficiently delivers high-quality phylogenetic results.
Supporting Data for computational analysis in Nanoplastics Potentiate Alzheimer's Pathogenesis by Promoting the Microglial Escape of Amyloid Beta
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Data from: How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography
We introduce phase-diagram analysis, a standard tool in compressed sensing (CS), to the X-ray computed tomography (CT) community as a systematic method for determining how few projections suffice for accurate sparsity-regularized reconstruction. In CS, a phase diagram is a convenient way to study and express certain theoretical relations between sparsity and sufficient sampling. We adapt phase-diagram analysis for empirical use in X-ray CT for which the same theoretical results do not hold. We demonstrate in three case studies the potential of phase-diagram analysis for providing quantitative answers to questions of undersampling. First, we demonstrate that there are cases where X-ray CT empirically performs comparably with a near-optimal CS strategy, namely taking measurements with Gaussian sensing matrices. Second, we show that, in contrast to what might have been anticipated, taking randomized CT measurements does not lead to improved performance compared with standard structured sampling patterns. Finally, we show preliminary results of how well phase-diagram analysis can predict the sufficient number of projections for accurately reconstructing a large-scale image of a given sparsity by means of total-variation regularization.
Computational Analysis, In silico Functional Annotation, and Expression of Recombinant Mycobacterium PE_PGRS Protein Biomarkers
<p>Data set for bioinformatics predictions and expression profiles.</p> <p> </p>
Computer Assisted Volumetric Analysis of CT-Identified Metastatic Pulmonary Or Hepatic Lesions
ClinicalTrials.gov study NCT00676455. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Early Silent Graft Failure in Off-pump Coronary Artery Bypass Grafting: A Computed Tomography Analysis
ClinicalTrials.gov study NCT03657199. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Response to Pembrolizumab in Metastatic Melanoma: Computed Tomography Texture Analysis as a Predictive Biomarker
ClinicalTrials.gov study NCT02740920. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: A computational analysis of locomotor anatomy and body mass evolution in Allosauroidea (Dinosauria Theropoda)
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Data from: How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography
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Data from: Use of anisotropy, 3D segmented atlas, and computational analysis to identify gray matter subcortical lesions common to concussive injury from different sites on the cortex
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Data from: Tensor analysis reveals distinct population structure that parallels the different computational roles of areas M1 and V1
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Raw data on computational analysis the relationships of energy and mechanical properties with sensitivity for 1, 1-diamino-2, 2-dinitroethene based polymer bonded explosives
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Data from: A gateway for phylogenetic analysis powered by grid computing featuring GARLI 2.0
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Data from: Comparative finite-element analysis: a single computational modeling method can reliably estimate the mechanical properties of porcine and human vertebrae
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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.