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5,371 results for “Flow”

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geo20/100

Accurate and precise transcriptional profiles from 50 pg of total RNA or 100 flow-sorted primary lymphocytes

GEO Series GSE5130. Mus musculus. 103 samples. Type: Expression profiling by array.

openGEO-OpenJun 2006View details →
geo20/100

RNA-seq analysis of CAFs and epithelial cells flow-sorted from PDAC tumors derived from the orthotopic transplantation of PDAC T-LOH KPC organoids in C57BL/6J mice following 2-week treatment with Nera

GEO Series GSE243889. Mus musculus. 19 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2023View details →
geo20/100

Genetic reporter for live tracing fluid flow forces during cell fate segregation in mouse blastocyst development

GEO Series GSE197167. Mus musculus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
geo20/100

Characterization of the transcriptomes Actinobacillus pleuropneumoniae drip flow biofilm dripflow biofilm

GEO Series GSE43823. Actinobacillus pleuropneumoniae serovar 5b str. L20; Actinobacillus pleuropneumoniae. 4 samples. Type: Expression profiling by array.

openGEO-OpenMay 2013View details →
geo20/100

Expression data for normal flow sorted hematopietic cell subpopulations

GEO Series GSE19599. Homo sapiens. 16 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2010View details →
geo20/100

The role of MAGI1 (membrane-associated guanylate kinase with inverted domain structure-1) in regulating disturbed flow-induced changes of gene expression

GEO Series GSE95066. Homo sapiens. 12 samples. Type: Expression profiling by array.

openGEO-OpenMay 2019View details →
zenodo20/100

Impact of sub-core scale heterogeneity on meter-scale flow and capillary trapping in drainage by CO2

<p>Simulation input and output files for generating the results in sections 2-5</p>

opencc-by-4.0Feb 2020View details →
zenodo20/100

Trained Models for Regularized Normalizing Flow (ICML submission)

<p>Module files for reproducing results.</p>

opencc-by-4.0Feb 2020View details →
zenodo20/100

AKSSF SE Instream Flow Protection Phase 14

<p>Streamflow data collected under AKSSF Grant. AKSSF SE Instream Flow Protection Phase 14.&nbsp;</p>

opencc-by-4.0Mar 2020View details →
zenodo20/100

Data for modeling flow rate and temperature changes in a hot spring

<p>Flow rate ,temperature and meteorological data in a hot spring that used for modeling.&nbsp;</p>

opencc-by-4.0May 2020View details →
zenodo20/100

Deep statistical solver: AC power flow 14 nodes

<p>Dataset of AC power flow problems on the IEEE 14 nodes&nbsp;</p>

opencc-by-4.0Jun 2020View details →
zenodo20/100

Figure 3 in Optimizing biodiversity informatics to improve information flow, data quality, and utility for science and society

Figure 3. Examples of ways in which aggregators can make uncertainties and biases visually available to users of Primary Biodiversity Data. Such information can be employed to filter data and to quantify and correct for biases in sampling effort, respectively. (a) Georeferenced localities of a given species are simply plotted in geographic space (black dots; current practice). (b) Those same localities appear using symbologies that provide additional information; a hazy cloud indicates the radius of error for localities holding information regarding uncertainty of the georeference, and localities lacking such data appear only as hollow black circles. (c) Information appears that reflects the results of sampling effort, by showing in gray the georeferenced localities for all species belonging to a more inclusive target group (i.e., all species detected with the same techniques as the species of interest; conventions the same as in b). Note that the right-hand side of the study region lacks records for any species of the target group, suggestive of very low sampling effort there.

opennotspecifiedSep 2020View details →
zenodo20/100

Figure 2 in Optimizing biodiversity informatics to improve information flow, data quality, and utility for science and society

Figure 2. Use of individual and collective Stable Unique Identifiers (e.g., DOIs) in biodiversity informatics. (a) Individual Stable Unique Identifier (I-SUI) allows linking diverse data domains for a given organism. In this example, an I-SUI links the voucher specimen and associated Primary Biodiversity Data (e.g., date and locality) of an individual mammal to information regarding various aspects of molecular- to population-level biology. (b) Collective Stable Unique Identifier (C-SUI) denotes a set (i.e., a list) of individual identifiers. For example, a C-SUI could indicate the n individual records used in a given analysis.

opennotspecifiedSep 2020View details →
zenodo20/100

Figure 1 in Optimizing biodiversity informatics to improve information flow, data quality, and utility for science and society

Figure 1. Simplified overview of the interactions and flow of data among providers, aggregators, and users in biodiversity informatics. Numbers indicate the typical order of actions: 1. Aggregator receives data uploads (and periodic updates) from providers; 2. User makes a data query to aggregator's online portal; 3. Aggregator responds to query by making data available on portal (for viewing and/or download). Note that by querying a single aggregator, a user can receive data from multiple providers. Additionally, multiple intermediate aggregators typically exist, feeding into the largest ones most commonly consulted by users (e.g., GBIF).

opennotspecifiedSep 2020View details →
zenodo20/100

Dataset related to the article "Outcomes of Transcatheter Aortic Valve Replacement Patients With Different Transvalvular Flow-gradient Patterns"

<p>This record contains raw data related to the article "Outcomes of Transcatheter Aortic Valve Replacement Patients With Different Transvalvular Flow-gradient Patterns".</p><p>Low-flow low-gradient (LF-LG) aortic stenosis (AS) may occur with preserved or depressed left ventricular ejection fraction (LVEF). Both situations represent the most challenging subset of patients to manage and generally have a poor prognosis. Few and controversial data exist on the outcomes of these patients compared to normal-flow high-gradient (NF-HG) AS following transcatheter aortic valve replacement (TAVR). We sought to characterize&nbsp;different transvalvular flow-gradient patterns and to examine their prognostic value after TAVR. We enrolled&nbsp;1208 patients with severe AS and categorized as follow: 976 patients NF-HG (mean aortic pressure gradient, MPG≥40mmHg), 107 paradoxical cLF-LG (pLF-LG, MPG&lt;40mmHg, LVEF≥50%, stroke volume index, SVi&lt;35mL/m2), and 125 cLF-LG (MPG&lt;40mmHg, LVEF&lt;50%, SVi&lt;35mL/m2).&nbsp;When compared with NF-HG and pLF-LG, cLF-LG had a worse symptomatic status (NYHA III-IV 86% vs 62% and 67%, p&lt;0.001), a higher prevalence of eccentric hypertrophy and&nbsp;a higher level of LV global afterload reflected by a higher valvuloarterial impedance. Valvular function after TAVR was excellent over time in all patients. While 30-day mortality (p=0.911) did not differ significantly among groups, cLF-LG had a lower 5-year survival rate (LF-LG 50% vs pLF-LG 62% and NF-HG 68%, p&lt;0.05). cLF-LG was associated with a hazard ratio for mortality of 2.41 (95% CI: 1.65-3.52, p&lt;0.001). In conclusion,&nbsp;TAVR is an effective procedure regardless of transvalvular flow-gradient patterns. However, special care should be given to characterized hemodynamic of AS, as patients with pLF-LG had similar survival rates than patients with NF-HG, whereas cLF-LG is associated with a 2-fold increased risk of mortality at 5-year follow-up.</p>

restrictedcc-by-4.0Nov 2023View details →
zenodo20/100

Bioinspired structural hydrogels with highly ordered hierarchical orientations by flow-induced alignment of nanofibrils

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo20/100

Share repurchase and dividends: Testing the substitution and free cash flow hypotheses in an emerging market context

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo20/100

Influence of buoyancy on the unsteady flow structure of sphere dropped into water

Open the record for dataset details and reuse information.

opencc-by-4.0Jan 2024View details →
zenodo20/100

Suppelementary files for the article "A visualisation of flow dynamics in tide dominated unconfined coastal aquifers by using physical experiments"

Open the record for dataset details and reuse information.

restrictedcc-by-sa-4.0Dec 2023View details →
zenodo20/100

Simulation of Anisotropic Microscopic Wave-induced Fluid Flow Effects and the Influential Factors Analysis

<p><strong>The dataset includes:</strong><br>Code for Numerical Simulation (DSSS)&nbsp;<br>Code for generating Digital Rock<br>Code for the Holton Sequence<br>Code for the WIFF-Squirt Flow Model</p> <p>SEM images from natural shale sample<br>Examples of Digital Rock that have been used in our current research</p> <p>(All codes were developed in Matlab 2017 or newer versions.)</p>

restrictedcc-by-4.0Feb 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

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Your academic CV and NIH biosketch

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