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8 results for “coefficient of determination”

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zenodo40/100

A method to determine local aerodynamic force coefficients from fiber-resolved 3D flow simulations around a staple fiber yarn: simulation data

<p>This data set contains all set-up files and necessary scripts to run the simulations performed in the publication <a href="https://doi.org/10.1007/s11044-024-09992-2" target="_blank" rel="noopener">"A method to determine local aerodynamic force coefficients from fiber-resolved 3D flow simulations around a staple fiber yarn"</a>, published in Multibody System Dynamics.</p>

opencc-by-4.0May 2024View details →
zenodo40/100

Diffusion Coefficient Analysis by Dynamic Light Scattering Enables Determination of Critical Micelle Concentration

<p>This upload contains dynamic light scattering data files obtained from the work described in the manuscript that is published by Lena Nielinger and co-workers in ChemPlusChem (<a href="https://doi.org/10.1002/cplu.202400645">https://doi.org/10.1002/cplu.202400645</a>) (WILEY). The files in this repository contain dynamic light scattering data obtained from the analysis of different detergents series and can be downloaded and analysed with a Zetasizer software according to the instructions procied in the manuscript. For information on how to obtain the the Zetasizer software, we refer to the customer support and/or website of the company Malvern Panalytical.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Experimental determination of differential scattering coefficients for nickel by means of linearly polarized x-ray radiation

<p>This data set contains the experimental results of differential scattering coefficients for nickel as determined in the publication &quot;Experimental determination of differential scattering coefficients for nickel by means of linearly polarized X-ray radiation&quot;.</p>

opencc-by-4.0Feb 2023View details →
dryad32/100

Examination of sample size determination in integration studies based on the coefficient of variation (ICV)

<p>Although there are various indices available for calculating morphological integration, the integration coefficient of variation (ICV) is most suited for assessing magnitudes of integration within and between morphological variance/covariance (V/CV) matrices. However, it is currently not known what the effects of varying sample sizes are on the reliable estimation of distributions of ICV scores.<b> </b>In this regard, the effects of varying sample size on ICV was examined by simulating parameter V/CV matrices with varying underlying magnitudes of average trait correlation (r<sup>2</sup>). ICV distributions were generated using a trait resampling protocol for various sample sizes (11 through 150) within various parameter r<sup>2 </sup>values. Next, empirical r<sup>2</sup> values were calculated based on data from 22 skeletal elements of 40 <i>Macaca fascicularis</i> specimens to examine whether the results from the simulation corresponded to real biological data. Mean ICV scores of various sample sizes were compared using Mann-Whitney U tests to examine which minimum sample sizes are required to reliably calculate mean ICV.<b> </b>Mann-Whitney U test results based on the simulated data showed that a sample size of 51 may be sufficient even for relatively low r<sup>2 </sup>values of 0.05. The empirical macaque data showed that 30‒40 individuals may be sufficient to reliably calculate mean ICV scores across skeletal elements.<b> </b>Our results correspond closely with previous assessments by Cheverud and colleagues that argued that a sample size of 40 is necessary to accurately estimate the structure of V/CV matrices.</p>

opencc-zeroAug 2020View details →
zenodo32/100

Supporting data for "Rapid determination of solid-state diffusion coefficients in Li-based batteries via intermittent current interruption method"

<p>This is the dataset of electrochemical and operando X-ray diffraction experiments for our publication &quot;Rapid determination of solid-state diffusion coefficients in Li-based batteries via intermittent current interruption method&quot;. This archive contains the raw data and scripts written in R used in the analysis and presentation of the results in this manuscript.</p> <p><strong>Abstract of&nbsp;the manuscript:</strong></p> <p>The galvanostatic intermittent titration technique (GITT) is considered the go-to method for determining the Li<sup>+</sup>diffusion coefficients in insertion electrode materials. However, GITT-based methods are either time-consuming, prone to analysis pitfalls or require sophisticated interpretation models. Here, we propose the intermittent current interruption (ICI) method as a reliable, accurate and faster alternative to GITT-based methods. Using Fick&rsquo;s laws, we prove that the ICI method renders the same information as the GITT within a certain duration of time since the current interruption. Via experimental measurements, we also demonstrate that the results from ICI and GITT methods match where the assumption of semi-infinite diffusion applies. Moreover, the benefit of the non-disruptive ICI method to operando materials characterization is exhibited by correlating the continuously monitored diffusion coefficient of Li<sup>+</sup>&nbsp;in a LiNi<sub>0.8</sub>Mn<sub>0.1</sub>Co<sub>0.1</sub>O<sub>2</sub>-based electrode to its structural changes captured by operando X-ray diffraction measurements.</p>

opencc-by-4.0Mar 2023View details →
dryad32/100

Examination of sample size determination in integration studies based on the coefficient of variation (ICV)

Open the record for dataset details and reuse information.

publicAug 2020View details →
ClinicalTrials.gov24/100

Determine if Apparent Diffusion Coefficient (ADC) Values Can Differentiate Tumors From Normal Tissue

ClinicalTrials.gov study NCT00723463. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Determination of in Vivo Ultrafiltration Coefficient (KUF) in Patients With Chronic Kidney Disease (CKD)

ClinicalTrials.gov study NCT01111266. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View 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

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