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112 results for “fluid dynamics”

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ClinicalTrials.gov32/100

Improvement Assessment of Coronary Flow Dysfunction Using Fundamental Fluid Dynamics

ClinicalTrials.gov study NCT01719016. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effects of Sleep Deprivation on Cerebrospinal Fluid (CSF) Amyloid-beta (Aβ) Dynamics

ClinicalTrials.gov study NCT01194713. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Dynamic Parameters of Glucose Control in Relation to Biomarkers in Serum and Intraocular Fluid in Patients With Diabetes

ClinicalTrials.gov study NCT05944640. IPD Sharing: NO. Countries: 1. Publications: 10.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: The Reissner fiber under tension in vivo shows dynamic interaction with ciliated cells contacting the cerebrospinal fluid

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publicMar 2023View details →
dryad32/100

Data from: Non-equilibrium dynamics of hard spheres in the fluid, crystalline, and glassy regimes

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publicSep 2025View details →
dryad32/100

Data from: Morphology, performance and fluid dynamics of the crayfish escape response

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publicJul 2020View details →
dryad32/100

Effect of space diffuser on flow characteristics of a centrifugal pump by computational fluid dynamic analysis

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publicNov 2020View details →
dryad32/100

Improvements in airflow characteristics and effect on the NOSE score after septoturbinoplasty: A computational fluid dynamics analysis

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publicNov 2022View details →
dryad32/100

Fluid-structure simulations outperform computational fluid dynamics in the differentiation of progressive dilation in Marfan syndrome patients

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publicJan 2020View details →
dryad28/100

Data from: Cerebrospinal fluid dynamics disorders: relationship to Alzheimer biomarkers and cognition

Objectives: To determine the frequency high-convexity tight sulci (HCTS) in a population based sample and whether the presence of HCTS and related features influenced participants' cognitive status and classification within the new Alzheimer-biomarker framework. Methods: We analyzed 684 participants, ≥50, enrolled into the prospective population-based Mayo Clinic Study of Aging, who underwent structural MRI, amyloid PET imaging, and tau- PET imaging. A fully automated machine-learning algorithm that had been developed previously in-house was used to detect neuroimaging features of HCTS. Based on PET and MRI measures, participants were classified as having normal (A−) or abnormal (A+) amyloid, normal (T−) or abnormal (T+) tau, and normal (N−) or abnormal (N+) neurodegeneration. The neuropsychological battery assessed domain-specific and global cognitive scores. Gait speed also was assessed. Analyses were adjusted for age and sex. Results: 45/684 participants (6.6%) were classified with HCTS based on the automated algorithm. Patients with HCTS were older than patients without HCTS (mean [SD], 78.0 [8.3] vs 71.9 [10.8] years; P<.001). More were cognitively impaired after age and sex adjustment (27% vs 9%; P=.005). Amyloid PET status was similar with and without HCTS, but tau PET SUVR was lower for those with HCTS after age and sex adjustment (P<.001). Despite a lower tau SUVR, HCTS patients had lower Alzheimer disease (AD) signature cortical thickness. Using the AT(N) framework, HCTS was overrepresented in the T−(N)+ group, regardless of amyloid status. Conclusions: The HCTS pattern represents a definable subgroup of non-AD pathophysiology (i.e., T−[N]+) that is associated with cognitive impairment. HCTS may confound clinical and biomarker interpretation in AD clinical trials.

opencc-zeroJun 2020View details →
dryad28/100

Data from: Fluid-dynamic optimal design of helical vascular graft for stenotic disturbed flow

Although a helical configuration of a prosthetic vascular graft appears to be clinically beneficial in suppressing thrombosis and intimal hyperplasia, an optimization of a helical design has yet to be achieved because of the lack of a detailed understanding on hemodynamic features in helical grafts and their fluid dynamic influences. In the present study, the swirling flow in a helical graft was hypothesized to have beneficial influences on a disturbed flow structure such as stenotic flow. The characteristics of swirling flows generated by helical tubes with various helical pitches and curvatures were investigated to prove the hypothesis. The fluid dynamic influences of these helical tubes on stenotic flow were quantitatively analysed by using a particle image velocimetry technique. Results showed that the swirling intensity and helicity of the swirling flow have a linear relation with a modified Germano number (Gn*) of the helical pipe. In addition, the swirling flow generated a beneficial flow structure at the stenosis by reducing the size of the recirculation flow under steady and pulsatile flow conditions. Therefore, the beneficial effects of a helical graft on the flow field can be estimated by using the magnitude of Gn*. Finally, an optimized helical design with a maximum Gn* was suggested for the future design of a vascular graft.

opencc-zeroDec 2013View details →
dryad28/100

Data from: Force and torque on spherical particles in micro-channel flows using computational fluid dynamics

To delineate the influence of hemodynamic force on cell adhesion processes, model in vitro fluidic assays that mimic physiological conditions are commonly employed. Herein, we offer a framework for solution of the three-dimensional Navier–Stokes equations using computational fluid dynamics (CFD) to estimate the forces resulting from fluid flow near a plane acting on a sphere that is either stationary or in free flow, and we compare these results to a widely used theoretical model that assumes Stokes flow with a constant shear rate. We find that while the full three-dimensional solutions using a parabolic velocity profile in CFD simulations yield similar translational velocities to those predicted by the theoretical method, the CFD approach results in approximately 50% larger rotational velocities over the wall shear stress range of 0.1–5.0 dynes cm−2. This leads to an approximately 25% difference in force and torque calculations between the two methods. When compared with experimental measurements of translational and rotational velocities of microspheres or cells perfused in microfluidic channels, the CFD simulations yield significantly less error. We propose that CFD modelling can provide better estimations of hemodynamic force levels acting on perfused microspheres and cells in flow fields through microfluidic devices used for cell adhesion dynamics analysis.

opencc-zeroDec 2015View details →
zenodo28/100

Codes and images associated with "Neuronal dynamics orchestrate cerebrospinal fluid perfusion and brain clearance"

<p>MATLAB scripts and representative images associated with the publication.&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo28/100

Datasets for Computational Fluid Dynamics

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opencc-by-4.0Apr 2024View details →
zenodo28/100

FIGURE 2 in Computational fluid dynamics modeling of fossil ammonoid shells

FIGURE 2. All of the shells employed in this study plotted in Westermann morphospace. The 3D models used for each member are shown to the right of the name/designation in the legend. Cardioceras, Oppelia, and Sphenodiscus are based on the shells employed in Jacobs (1992), Nautilus pompelius was created using laser scans and scaled to two different sizes (life-size [approx. 14.5 cm] and 5 cm diameter), and all other shells were created to match basic Westermann morphotypes (Westermann, 1996; Ritterbush and Bottjer, 2012).

opencc-by-4.0Dec 2020View details →
ClinicalTrials.gov28/100

Body Fluid Dynamics in Hemodialysis Patients, an Estimation of Dry Weight

ClinicalTrials.gov study NCT02325908. IPD Sharing: Not stated. Countries: 0. Publications: 18.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Force and torque on spherical particles in micro-channel flows using computational fluid dynamics

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publicJun 2016View details →
dryad28/100

Data from: Fluid-dynamic optimal design of helical vascular graft for stenotic disturbed flow

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publicSep 2015View details →
dryad28/100

Data from: Cerebrospinal fluid dynamics disorders: relationship to Alzheimer biomarkers and cognition

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publicJun 2020View details →
geo24/100

Early Response Genes in Osteoblasts Exposed to Dynamic Fluid Flow

GEO Series GSE16211. Mus musculus. 8 samples. Type: Expression profiling by array.

openGEO-OpenMay 2009View 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