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112 results for “fluid dynamics”

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zenodo20/100

Discovery of Dynamical Heterogeneity in a Supercooled Magnetic Monopole Fluid

<p>.mat binary files of Noise and .csv Susceptibilty Measurements of DTO.</p>

restrictedcc-by-4.0Nov 2024View details →
ClinicalTrials.gov20/100

Prediction of Fluid Responsiveness Using Dynamic Preload Indices During Arthroscopic Shoulder Surgery in the Beach Chair Position

ClinicalTrials.gov study NCT02291185. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Prediction of Vulnerable Plaque Using Coronary CT Angiography and Computational Fluid Dynamic in Acute Coronary Syndrome

ClinicalTrials.gov study NCT04524117. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Prognostic Study of Via Dynamic Change of PCA3 mRNA in Drainage Fluid After Radical Prostatectomy

ClinicalTrials.gov study NCT06707961. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Utility of Dynamic Variables Measured by Calibrated Pulse Contour Analysis of Oesophageal Doppler Monitor for Predicting Fluid Responsiveness During Robot-Assisted Laparoscopic Prostatectomy

ClinicalTrials.gov study NCT02886546. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Computational Fluid Dynamics Predicting Intraprosthetic Thrombus Formation and Progression Following EVAR

ClinicalTrials.gov study NCT06701773. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

Temporal Dynamics of Human Cerebrospinal Fluid Vesicle microRNAs

GEO Series GSE57713. Homo sapiens; synthetic construct. 6 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenNov 2014View details →
geo16/100

Limited depth in bone defect-combining computational fluid dynamics and genes sequence analysis due to osteogenic effect under negative pressure wound therapy

GEO Series GSE216691. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2022View details →
geo12/100

Increased Reproducibility of Brain Organoids through Controlled Fluid Dynamics

GEO Series GSE306010. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2025View details →
zenodo12/100

Design and Computational Fluid Dynamics (CFD) modelling of Biomimetic Voronoi lattice Scaffolds

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Apr 2024View details →
zenodo12/100

Computational Fluid Dynamics Modeling of Proximal Landing Zones for Thoracic Endovascular Aortic Repair in the Bovine Arch Variant.

<p>Dataset from the article&nbsp;Marrocco-Trischitta MM, Romarowski RM, Alaidroos M, Sturla F, Glauber M, Nano G. Computational Fluid Dynamics Modeling of Proximal Landing Zones for Thoracic Endovascular Aortic Repair in the Bovine Arch Variant. Ann Vasc Surg. 2020 Nov;69:413-417. doi: 10.1016/j.avsg.2020.05.024. Epub 2020 May 29. PMID: 32479874.</p> <p><strong>Abstract</strong></p> <p><strong>Background:&nbsp;</strong>To assess the endograft displacement forces (DF), which quantify the forces exerted by the pulsatile blood flow on the vessel wall and transmitted on the terminal fixation site of the endograft after its deployment in proximal landing zones (PLZs) of the bovine aortic arch variant.</p> <p><strong>Methods:&nbsp;</strong>Thirty healthy aortic computed tomographic angiographies of subjects with bovine arch configuration (10 per type of arch, I-III) were selected for the purpose of the study. A 3-dimensional model of the aortic arch lumen was reconstructed. Computational fluid dynamics modeling was then used to compute DF magnitude and orientation (i.e., x, y, and z axes) in PLZs of each case. DF values were normalized to the corresponding aortic wall area to estimate equivalent surface traction (EST).</p> <p><strong>Results:&nbsp;</strong>DF were highest in zone 0, consistently with the greater surface area. DF in zone 3 were much greater than in zone 2 because of a 3-fold greater upward component (z axis) (P &lt; 0.001), being therefore mainly oriented orthogonally to the aortic blood flow and to the vessel longitudinal axis in that zone. EST progressively increased from zone 0 toward more distal PLZs, with EST in zone 3 being much greater than that in zone 2 (P &lt; 0.001). The same pattern was observed after stratification by type of arch.</p> <p><strong>Conclusions:&nbsp;</strong>The bovine arch is associated with a consistent fluid dynamic pattern, which identifies in zone 3 an unfavorable biomechanical environment for endograft deployment.</p>

restrictedJul 2021View details →
zenodo12/100

Comparison of Four-Dimensional Magnetic Resonance Imaging Analysis of Left Ventricular Fluid Dynamics and Energetics in Ischemic and Restrictive Cardiomyopathies.

<p>Riva A, Sturla F, Pica S, Camporeale A, Tondi L, Saitta S, Caimi A, Giese D, Palladini G, Milani P, Castelvecchio S, Menicanti L, Redaelli A, Lombardi M, Votta E. Comparison of Four-Dimensional Magnetic Resonance Imaging Analysis of Left Ventricular Fluid Dynamics and Energetics in Ischemic and Restrictive Cardiomyopathies. J Magn Reson Imaging. 2022 Oct;56(4):1157-1170. doi: 10.1002/jmri.28076. Epub 2022 Jan 24. PMID: 35075711; PMCID: PMC9541919.</p> <p>Abstract</p> <p><strong>Background:&nbsp;</strong>Time-resolved three-directional velocity-encoded (4D flow) magnetic resonance imaging (MRI) enables the quantification of left ventricular (LV) intracavitary fluid dynamics and energetics, providing mechanistic insight into LV dysfunctions. Before becoming a support to diagnosis and patient stratification, this analysis should prove capable of discriminating between clearly different LV derangements.</p> <p><strong>Purpose:&nbsp;</strong>To investigate the potential of 4D flow in identifying fluid dynamic and energetics derangements in ischemic and restrictive LV cardiomyopathies.</p> <p><strong>Study type:&nbsp;</strong>Prospective observational study.</p> <p><strong>Population:&nbsp;</strong>Ten patients with post-ischemic cardiomyopathy (ICM), 10 patients with cardiac light-chain cardiac amyloidosis (AL-CA), and 10 healthy controls were included.</p> <p><strong>Field strength/sequence:&nbsp;</strong>1.5 T/balanced steady-state free precession cine and 4D flow sequences.</p> <p><strong>Assessment:&nbsp;</strong>Flow was divided into four components: direct flow (DF), retained inflow, delayed ejection flow, and residual volume (RV). Demographics, LV morphology, flow components, global and regional energetics (volume-normalized kinetic energy [KE<sub>V</sub>&nbsp;] and viscous energy loss [EL<sub>V</sub>&nbsp;]), and pressure-derived hemodynamic force (HDF) were compared between the three groups.</p> <p><strong>Statistical tests:&nbsp;</strong>Intergroup differences in flow components were tested by one-way analysis of variance (ANOVA); differences in energetic variables and peak HDF were tested by two-way ANOVA. A P-value of &lt;0.05 was considered significant.</p> <p><strong>Results:&nbsp;</strong>ICM patients exhibited the following statistically significant alterations vs. controls: reduced KE<sub>V</sub>&nbsp;, mostly in the basal region, in systole (-44%) and in diastole (-37%); altered flow components, with reduced DF (-33%) and increased RV (+26%); and reduced basal-apical HDF component on average by 63% at peak systole. AL-CA patients exhibited the following alterations vs. controls: significantly reduced KE<sub>V</sub>&nbsp;at the E-wave peak in the basal segment (-34%); albeit nonstatistically significant, increased peaks and altered time-course of the HDF basal-apical component in diastole and slightly reduced HDF components in systole.</p> <p><strong>Data conclusion:&nbsp;</strong>The analysis of multiple 4D flow-derived parameters highlighted fluid dynamic alterations associated with systolic and diastolic dysfunctions in ICM and AL-CA patients, respectively.</p>

restrictedJan 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record