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2,194 results for “Diffusers”
Vesicle and reaction-diffusion hybrid modeling with STEPS
<p>This repository, a snapshot from Github public repository <a href="https://github.com/CNS-OIST/STEPS_Validation/tree/main/vesicles">https://github.com/CNS-OIST/STEPS_Validation/vesicles</a>, contains all data and modeling scripts to reproduce the data presented in: </p> <p>Iain Hepburn, Jules Lallouette, Weiliang Chen, Andrew R. Gallimore, Sarah Y. Nagasawa-Soeda, Erik De Schutter (2024) Vesicle and reaction-diffusion hybrid modeling with STEPS. Communications Biology 7(1):573. doi:10.1038/s42003-024-06276-5</p> <p>The repository contains README files with instruction for how to run the model scripts and reproduce the figures.</p> <p>The work presented is based on the simulator STochastic Engine for Pathway Simulation (STEPS) version 5.0.1, which is publicly availble from: https://github.com/CNS-OIST/STEPS/releases/tag/5.0.1 </p> <p> </p>
Figures and datasets of paper titled "Bulk carrier lifetime surpassing 600 us in Upgraded Metallurgical-grade Silicon multicrystalline wafers after Phosphorus Diffusion Gettering"
<p>Datasets and figures of paper titled "Figures and datasets of paper titled "Bulk carrier lifetime surpassing 600 us in Upgraded Metallurgical-grade Silicon multicrystalline wafers after Phosphorus Diffusion Gettering" published in arXiv (<a href="https://arxiv.org/abs/2111.13522">https://arxiv.org/abs/2111.13522</a>).</p>
Ultra-high-resolution diffusion MRI atlas of CD1 embryonic mouse brains at E10.5-E15.5.
<p>This dataset is assciated with the paper "A Spatiotemporal Continuum of Embryonic Mouse Brain Development Built on Diffusion MR Microscopy for Probing Dynamic Gene-Neuroanatomy" on PNAS. For each stage, average FA (fractional anisotropy) and DEC (directionally encoded colormap) images (n=5) are provided. <br> <br> </p>
Thermal diffusivity of isotropic graphite from 23 °C to 3000 °C
<p>This dataset contains thermal diffusivity values determined from 23 °C to 3000 °C by seven laboratories on a batch of specimens machined in the same block of isotropic graphite. </p>
Tutorial "Fundamentals of the laser flash thermal diffusivity measurements"
<p>E-learning module about the fundamentals of the laser flash thermal diffusivity measurements which is part of a tutorial series prepared in the framework of the Hi-TRACE project. </p>
Tutorial "Uncertainty assessment for thermal diffusivity measurement by laser flash method"
<p>E-learning module about the assessment of uncertainty associated with thermal diffusivity measurement performed at high temperature by the laser flash method. Part of a tutorial series prepared in the framework of the Hi-TRACE project. </p>
Tutorial "Thermal diffusivity of solid materials using the flash method"
<p>E-learning module about the thermal diffusivity measurement of different types of solid materials using the flash method. Part of a tutorial series prepared in the framework of the Hi-TRACE project. </p>
Data for Theory, Observations, and Simulations of Kinetic Entropy in a Magnetotail Electron Diffusion Region
<p>This .rar file contains the simulation data used in the paper titled "Theory, Observations, and Simulations of Kinetic Entropy in a Magnetotail ElectronDiffusion Region" along with needed instructions for reproducing the simulation plots shown in the paper. </p>
Data from: In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution (PART I)
<p>This whole-brain in vivo diffusion MRI dataset was acquired at 760 µm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy subject. It was acquired using state-of-the-art acquisition hardware and advanced reconstruction to achieve high SNR at such resolution, including a high-gradient-strength Connectom scanner, a custom-built 64-channel phased-array coil, a personalized motion-robust head stabilizer, a recently developed SNR-efficient dMRI acquisition, and parallel imaging reconstruction with advanced ghost reduction algorithms. With its unprecedented high resolution, SNR and image quality, it could help explore the fine-scale structures of in vivo human brain, and further advance the understanding of human brain connectivity. This dataset can also be used as a test bed for further technical development of new modeling, sub-sampling strategies, denoising and processing algorithms for in vivo high resolution dMRI. Whole brain anatomical T<sub>1</sub>-weighted and T<sub>2</sub>-weighted images at submillimeter scale, field maps and the code for preprocessing pipeline are also made available in the repository.</p>
Single Cell Phenotypic Profiling to Identify a Set of Immune Cell Protein Biomarkers for Relapsed and Refractory Diffuse Large B Cell Lymphoma: A Single-Center Study
<p>Diffuse large B-cell lymphoma (DLBCL) is the most common invasive type of non-Hodgkin lymphoma. Cell-of-origin (COO) classification is related to patients’ prognoses. Primary drug resistance in treatment for DLBCL has been observed. The specific serum biomarkers in these patients who suffer from relapsed and refractory (R/R)-DLBCL remains unclear. In the current study, using single-cell RNA sequencing (scRNA-seq) and mass cytometry (CyTOF), we determined and verified immune cell biomarkers at the mRNA and protein levels in single-cell resolution from 18 diagnostic peripheral blood mononuclear cell (PBMC) specimens collected from patients with R/R DLBCL. As controls, five PBMC specimens from healthy volunteers were obtained. We identified a panel of 35 surface marker genes for the features of R/R DLBCL unique cell cluster by scRNA-seq of eight R/R DLBCL patient samples and validated its efficiency in an external cohort consisting of 10 R/R DLBCL patients by CyTOF. The cell clustering and dimension reduction were compared among R/R DLBCL samples in CyTOF Space with COO as well as the C-MYC expression designation. Immune cells from each patient occupied unique regions in the 32-dimensional phenotypic space with no apparent clustering of samples into discrete subtypes. Significant heterogeneity observed in subgroups was mainly attributed to individual differences among samples and not to expression differences in a single, homogeneous immune cell subpopulation. The marker panel showed reliability in labeling R/R DLBCL without any influence from COO stratification and C-MYC expression designation. Furthermore, we compared all the markers between R/R DLBCL and normal samples. A total of 12 biomarkers were significantly overexpressed in R/R DLBCL relative to the normal samples. Therefore, we further optimized the diagnostic biomarker panel of R/R DLBCL comprising CD82, CD55, CD36, CD63, CD59, IKZF1, CD69, CD163, CD14, CD226, CD84, and CD31. In summary, we developed a novel set of biomarkers for the diagnoses of patients with R/R DLBCL. Detections procedures at single-cell resolution provide precise biomarkers which may substantially overcome intertumoral and intratumoral heterogeneity among primary samples. The findings confirmed that each case was unique and may comprise multiple, genetically distinct subclones.</p> <p>Here we uploaded the dataset of CyTOF for external validation. For more detailed information, please contact Dr zheng (zenki_zheng@163.com)</p> <p> </p>
Homogenized anisotropic thermal conductivity on microstructure of binary composite with thermally imperfect diffuse interface
<p>This dataset contains supplementary data and utilities of the publication "A diffuse-interface model of anisotropic interface thermal conductivity and its application in thermal homogenization of composites" (<a href="https://doi.org/10.1016/j.scriptamat.2022.114537">Yang, 2022</a>).</p> <p>We performed thermal homogenization on microstructures with three types of inclusion geometries, in which ones with oval-shaped and fiber-shaped inclusions were read from characterized/generated digital microstructures, and ones with irregular-shaped inclusions were imported from the phase-field additive manufacturing simulations <a href="https://doi.org/10.1002/gamm.202100017">(Zhou, 2021)</a>. Si-Hf-N was chosen as the composite material system with β-Si<sub>3</sub>N<sub>4</sub> as the sole matrix phase and HfN as the sole inclusion phase. Direct homogenization method with the linear temperature BCs (see Supplementary Note 3 of the publication) was adopted.</p> <p>This dataset documents homogenized anisotropic thermal conductivity of corresponding microstructure as a tensor with normalized interface thermal resistance varying from 10<sup>-8</sup> to 10<sup>12</sup>. Voxelized digital microstructures and utilities for visualizing the overall thermal anisotropy are also attached.</p> <table> <tbody> <tr> <td>Properties</td> <td>Value</td> <td>Dimension</td> <td>Description</td> </tr> <tr> <td><span class="math-tex">\(k_\mathrm{(i)}\)</span></td> <td>90</td> <td><span class="math-tex">\(\mathrm{W~m^{-1}~K^{-1}}\)</span></td> <td>Thermal conductivity of HfN inclusion (<a href="https://10.1016/j.mtphys.2020.100256">Li, 2020</a>)</td> </tr> <tr> <td><span class="math-tex">\(k_\mathrm{(m)}\)</span></td> <td>180</td> <td><span class="math-tex">\(\mathrm{W~m^{-1}~K^{-1}}\)</span></td> <td>Thermal conductivity of β-Si<sub>3</sub>N<sub>4</sub> matrix (<a href="https://10.1016/s0955-2219(98)00258-1">Li, 1999</a>)</td> </tr> <tr> <td><span class="math-tex">\(\ell\)</span></td> <td>5</td> <td><span class="math-tex">\(\mathrm{nm}\)</span></td> <td>Diffuse interface width</td> </tr> <tr> <td><span class="math-tex">\((X,Y,Z)\)</span></td> <td>(500,500,500)</td> <td><span class="math-tex">\(\mathrm{nm}\)</span></td> <td>Simulation domain size</td> </tr> </tbody> </table> <p><strong>Notice:</strong> The digital microstructure has been voxelized, which can be loaded by default as a 200x200x200 numpy array (see utilities.ipynb). In order to perform the homogenization, interface smoothening is required, i.e., to generate diffuse interfaces. In this work, we smoothened the interface by operating transient Allen-Cahn calculation with finite timesteps. See Supplementary Note 4 of the publication for more information.</p>
Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations
<p>The spreadsheets of monthly data used for Figure 2 in the paper " <strong>Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations</strong>" submitted to Geophysical Research Letters by the authors, and an explanatory text file named "Readme".</p>
Ga interaction with ZnO surfaces: diffusion and melt-back etching_experimental dataset
<p>This archive contains the raw unfileterd data to the Pejchal et al., Ga interaction with ZnO surfaces: diffusion and melt-back etching, <a href="https://www.sciencedirect.com/journal/applied-surface-science">Applied Surface Science</a>, <a href="https://www.sciencedirect.com/journal/applied-surface-science/vol/583/suppl/C">Volume 583</a>, 1 May 2022, 152475. </p>
Diffuse-optical data set measured with a smartphone-based sensor on Potato Hill, Oregon, USA
<p>This data set contains both raw data and derived data obtained on Potato Hill, Oregon, on December 17th 2021 using a diffuse-optical, smartphone-based sensor. The raw image files have been converted to an uncompressed Adobe-.dng file format, file names indicate whether the file contains data for the blue (405nm) or red (650nm) laser or spatial calibration data using a 9mm x 9mm calibration pattern. Spectral albedo measurements are contained in the subfilder ./Albedo, the raw images in ./Phone. The root directory contains the matlab code (Matlab R2021b) needed for analysis as well as the derived data.</p> <p>For analyzing the raw data set, use "CameraMatchPotatoHillFinal.m". It wraps around the function "CameraAnalysisFinal.m", which performs the image analysis and least-square fit to resorted and rescaled data, employing in turn the model function "theosurfGInf.m". It saves a derived data set (attenuation, absorption and scattering coefficients, albedos, absorption enhancement factor and snow density.</p> <p>The script "Albedo.m" analyzes the derived data set along with measured albedo and simulated albedo deposited in the file "snicar_120ppb.txt". The obtained albedo curves and black carbon mixing ratio are as shown in the below manuscript.</p> <p>If you wish to use this data set please contact Markus Allgaier at markusa@uoregon.edu with a description of the work and any questions so that we may offer guidance in regards to the best usage of our dataset. When using the data set within a publication, please cite:</p> <p>Markus Allgaier & Brian Smith, "A Smartphone-Based Sensor for Measuring the Optical Properties of Snow", in preparation, (2022)</p>
DA Diffusion Simulation for: A fluorescent nanosensor paint reveals the heterogeneity of dopamine release from neurons at individual release sites
<p>Code developed for the revision of:</p> <p>Elizarova, S., Chouaib, A., Shaib, A., Mann, F., Brose, N., Kruss, S., & Daniel, J. A. (2021). A fluorescent nanosensor paint reveals the heterogeneity of dopamine release from neurons at individual release sites. BioRxiv, 2021.03.28.437019. https://doi.org/10.1101/2021.03.28.437019</p>
Modeled data related to the article "Diffusive Wave Models for Operational Forecasting of Channel Routing at Continental Scale"
<p>The data holder contains modeled data on water level and discharge from some test cases.</p>
Simulation for "Asymptotic behavior for a time-inhomogeneous Kolmogorov type diffusion"
<p>The code and the video are related to the article G. Mihai, and E. Luirard. « Asymptotic behavior for a time-inhomogeneous Kolmogorov type diffusion », available on http://arxiv.org/abs/2004.11576.</p>
Dataset for mansucript: Deeper Insight into Photopolymerization: The Synergy of Time-Resolved Non-Uniform Sampling and Diffusion NMR
<p>Dataset and processing scripts used in Manuscript:</p> <p><a href="https://pubs.acs.org/doi/10.1021/jacs.2c05944"><strong>Deeper Insight into Photopolymerization: The Synergy of Time-Resolved Non-Uniform Sampling and Diffusion NMR</strong></a></p> <p><a href="https://pubs.acs.org/doi/10.1021/jacs.2c05944"><strong>Journal of the American Chemical Society, DOI: 10.1021/jacs.2c05944</strong></a></p> <p>The main folder contains two Jupyter Notebooks:</p> <ol> <li>Analyze_DiffusionOnlyData.ipynb</li> <li>Analyze_InterleavedData.ipynb</li> </ol> <p>The first is used to analyze Diffusion-only analysis of photopolymerization of N,N-bis(anthracen-9-ylmethyl)butane-1,4-diamine and dimerization of anthracene. It is used to generate Figure SI.1.</p> <p>The second is used to analyze the first system using TR-NUS and TR-Diffusion dataset acquired in interleaved mode. It is used to generate Figures: 2,3,4 in main manuscript and Figure SI.3</p>
Multishell Diffusion MR Tractography Yields Morphological and Microstructural Information of the Anterior Optic Pathway: A Proof-of-Concept Study in Patients with Leber's Hereditary Optic Neuropathy. RAW DATA
<p>Raw data used to prepare Figures and Tables in article "Multishell Diffusion MR Tractography Yields Morphological and Microstructural Information of the Anterior Optic Pathway: A Proof-of-Concept Study in Patients with Leber’s Hereditary Optic Neuropathy", accepted for publication at International Journal of Environmental Research and Public Health, 27 May 2022.</p>
FIG. 2 in De l'origine du chien et de sa diffusion à l'aune de sa mythologie
FIG. 2. — Aires culturelles du Nouveau Monde considérées par Yuri Berezkin.
ScienceDex guides
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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.