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9,882 results for “Scale”
Pore-scale 3D dynamic morphological modeling and physical characterization of hydrate-bearing sediment based on computed tomography images
<p>This supporting information includes one Figure-S1-REV300, which is the representative elemental volume (REV) used in this study. And the Figure-S1-REV300 is 300*300*300 with a voxel size of 4.4 μm. There are two phases in the REV: the sand and the pore.</p> <p>Figure S1 is uploaded with file name Figure S1-REV300.tif, which is the representative elemental volume (REV) used in this study</p>
A large-scale depth-based multimodel audio-visual corpus in mandarin
<p>A large-scale depth-based multimodel audio-visual corpus in mandarin,.</p> <p>This file have depth-based Lip point data. The rest of the data is being collated and will be made public soon.</p> <pre>If the dataset is useful for your research, please cite our work: @inproceedings{Jianrong2018A, title={A Large-Scale Depth-Based Multimodal Audio-Visual Corpus in Mandarin}, author={Jianrong Wang and Liyuan Wang and Ju Zhang and Jianguo Wei and Ruiguo Yu}, booktitle={2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)}, year={2018}, }</pre> <p> </p>
Scaling of magnetic reconnection with a limited x-line extent
<p>Data and IDL scripts used to make the plots in my GRL 2020 paper.</p>
Dataset for Lower-hybrid-drift vortices in the electron-scale magnetic reconnection layer
<p>Data for submission to the publication of the same title in Geophysical Research Letters.</p> <p>Subsets of the full simulation data from time slices used in the figures are stored as fields in the hdf5 files.</p> <p>Axes are stored as 'x', 'y', 'z'</p> <p> </p>
A framework for pore-scale simulation of broadband electrical conductivity and permittivity of porous media
<p>The data presented in a manuscript entitled "A framework for pore-scale simulation of electrical conductivity and permittivity of porous media in the frequency range from mHz to GHz" to be submitted to Journal of Geophysical Research: Solid Earth.</p>
Standardizing thermal contrast among local climate zones at a continental scale
<p>The seasonal daily mean, daytime mean and nighttime mean air temperature over China weather stations in 2016.</p> <p>Read "README.txt" for the details of the data</p>
Multi-scale coupling during magnetopause reconnection: interface between the electron and ion diffusion regions
<p>Output in IDL-save format from four frames of the two particle-in-cell simulations used in the manuscript. See manuscript (Appendix C) for simulation set-up. Unless otherwise specified, each of the following variables are given as NxM matrices, where N is the number of grid cells per row (X axis) and M is the number per column (Z axis). Among other variables, the data files named "frame#.sav" contain the following items, used in the paper:</p> <ul> <li>E[i]: the i (X, Y, or Z) component of the electric field vector</li> <li>B[i]: the i (X, Y, or Z) component of the magnetic field vector</li> <li>Ay: the Y component of the magnetic vector potential</li> <li>V[s][i]: the i (X, Y, or Z) component of the bulk velocity of species s (ions or electrons)</li> <li>den[s]: the number density of species s</li> <li>xx: N-element vector of the x location of each grid cell</li> <li>zz: M-element vector of the z location of each grid cell</li> </ul> <p>One other file, named "frame38_P.sav", gives each of the 6 unique elements of the ion and electron pressure tensor with the variables named as P[s][i][j], where i and j are X, Y, or Z and s is either i for ions or e for electrons. </p>
The combined effects of monsoon and westerly winds on millennial-scale environmental change in the northern Qinghai-Tibet Plateau
<p>This dataset includes modern data, surface sedimentary geochemical data, paleoclimate simulation data。</p>
A Genome-Scale Fungal Phylogeny
<p>1,104 Ascomycota assemblies <br> 540 other fungal assemblies<br> 28 outgroups</p>
Large-scale analyses provide no evidence for gene-gene interactions influencing type 2 diabetes risk
<p>Summary statistics for "Large-scale analyses provide no evidence for gene-gene interactions influencing type 2 diabetes risk"</p> <p> </p>
Intermittency and critical scaling in annular Couette flow
<p>Time evolution of turbulent fraction <em>F<sub>t</sub></em>(<em>t</em>) and of fluctuating velocity fields visualized at mid-gap, for <em>h</em> = 0.1 with an artificially extended azimuthal domain size of <em><span class="math-tex">\(L_\theta = 128 \pi\)</span></em>. On the right column, contours show<br> <em>x</em>-<span class="math-tex">\(\theta\)</span> distributions of the radial velocity fluctuation <span class="math-tex">\(u_r'\)</span> normalized by the inner-cylinder velocity <em>U<sub>w</sub></em>. Top (orange box and curve in the graph) : above the global critical Reynolds number <em>Re<sub>g</sub></em>. Middle (red) : near <em>Re<sub>g</sub></em>. Bottom (black) : below <em>Re<sub>g</sub></em>.</p>
pull-out experiments on small-scale wood logs
<p>This data-set contains results from pull-out experiments on small-scale Salix cuttings. The folder "uprooting tests" contains the values of the uprooting force recorded over time. Values of the total root length of each sample are illustrated in an excel file: "max_uprooting_force-root length". The values of the total root surface area of each sample can be found in the folder: "root surface area". Data are divided according to the uprooting time. Data about the above-ground biomass of the samples can be found in the files excel: "cuttings_growth" and "stem_length-volume".</p>
Figure 5 in Temporal patterns of the calanoid copepod community in Veliko Jezero, an isolated marine lake (South Adriatic Sea): links to a larger-scale climate changes
Figure 5. Dendogram of sample units identified by cluster analysis.
Figure 1 in Temporal patterns of the calanoid copepod community in Veliko Jezero, an isolated marine lake (South Adriatic Sea): links to a larger-scale climate changes
Figure 1. Study area with the sampling station.
Using Galaxy to Perform Large-Scale Interactive Data Analyses - An update
<p>Datasets and workflows supporting the protocols described in the article "Using Galaxy to Perform Large‐Scale Interactive Data Analyses - An update".</p>
On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation
<p>This repository contains XML configuration files, POS and EPOS reconstructed APT datasets and RNG/RRNG range files, raw data, and synthetic dataset to follow our analysis made in the initial version of the paper <em>"On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation"</em></p> <p>We are continuously working on the atom probe crystallography tools of paraprobe and their corresponding configuration and analysis wizards in paraprobe-parmsetup and paraprobe-autoreporter. Also, we are currently working on an ontology for metadata of APT post-processing workflows. Therefore, changes in the structure of the HDF5 file are expected to come up.<br> <br> Therefore, we always recommend to work with the newest code of PARAPROBE on the GitLab:</p> <p><strong>https://gitlab.mpcdf.mpg.de/mpie-aptfim-toolbox/paraprobe.git<br> https://paraprobe-toolbox.readthedocs.io/en/latest/</strong></p> <p>Therefore, the data in here serve as a reference to and documentation of the settings mainly.</p> <p><strong>This repository here contains the following pieces of information:</strong></p> <p><strong>VerifyCrystalStructures_Geo26Al.zip<br> VerifyCrystalStructures_Geo26Al3Sc.zip<br> VerifyCrystalStructures_Geo26W.zip</strong><br> Raw data and results for the assessment of the histograms and SDMs and corresponding amplitude spectra.</p> <p><strong>VerifySXIndexing.zip</strong><br> Raw data and results for the verification with synthetic single crystal datasets.</p> <p><strong>VerifyPXIndexing2_SimID.200.tar.gz<br> VerifyPXIndexing2_SimID.201.tar.gz<br> VerifyPXIndexing2_SimID.202.tar.gz</strong><br> Raw data and results for the verification with synthetic polycrystal datasets,<br> where 200 is without noise, 201 low noise, 202 high noise.</p> <p><strong>VerifyAlBicrystalZirong_ExampleROIs.tar.gz<br> VerifyAlBicrystalZirong_Library.tar.gz</strong><br> <strong>VerifyAlBicrystalZirong_Setup.tar.gz<br> VerifyAlBicrystalZirongRendering.zip</strong><br> Raw data and results for specific ROIs discussed for the aluminium bicrystal including Paraview example for rendering.</p> <p><strong>VerifyAlLiMgBaptiste_ExampleROIs.tar.gz<br> VerifyAlLiMgBaptiste_Library.tar.gz<br> VerifyAlLiMgBaptiste_Setup.tar.gz<br> VerifyAlLiMgBaptisteRendering.zip</strong><br> Raw data and results for specific ROIs discussed for the aluminium bicrystal including Paraview example for rendering.</p> <p><strong>AlBicrystalAdaptiveROIGrid.tar.gz<br> AlLiMgAgAdaptiveROIGrid.tar.gz</strong><br> Raw data and results for the tutorial with adaptive refinement of the ROI grid, as it is detailed in the Jupyter notebook tutorials on the GitLab repository.</p> <p> </p>
Pore-scale electrical numerical simulation and new saturation model of fractured tight sandstone
<p>Fractured tight sandstone reservoirs are characterized by low matrix porosity, low matrix permeability, and strong heterogeneity. Fractures developed in rocks improves reservoir permeability, but it brings new challenges to formation evaluation from log interpretation. The conventional Archie’s equation is not applicable. Meanwhile, the fragility of fractured rocks limits the application of petrophysical experiment method which is expensive and time-consuming. Recently, the development of digital rock technology provides a new means for studying fractured rocks. In this work, a set of fractured digital rocks with different fracture openings and dips are constructed to study electrical properties of fractured rocks using finite element method (FEM). The formation factor <em>F</em> is calculated by the resistivity simulation results of digital rocks with different porosity and an equation of cementation exponent versus fracture opening and dip is established. Then the resistivity of partially saturated rocks is simulated by FEM and the resistivity index is calculated to build the cross-plot of resistivity index (<em>RI</em>) and water saturation (<em>S</em><sub>w</sub>). The relationship between the <em>RI</em> and <em>S</em><sub>w</sub> for fractured rocks is exponential. Subsequently, a new saturation model for fractured tight rock reservoirs is proposed. Taken the deep Cretaceous fractured tight sandstone gas reservoir in Kuqa as an example, the model is proved more effective and correct. This study is of great significance in the theoretical analysis and saturation evaluation of fractured tight rock reservoirs.</p>
Data from: Genome-scale characterization of toxicity-induced metabolic alterations in primary hepatocytes
Context-specific Genome-scale Metabolic Network Reconstructions (GENREs) provide a means to understand cellular metabolism at a deeper level of physiological detail. Here, we use transcriptomics data from chemically exposed rat hepatocytes to constrain a GENRE of rat hepatocyte metabolism and predict biomarkers of liver toxicity using the Transcriptionally Inferred Metabolic Biomarker Response (TIMBR) algorithm. We profiled alterations in cellular hepatocyte metabolism following in vitro exposure to four toxicants (acetaminophen, carbon tetrachloride, 2,3,7,8-tetrachlorodibenzodioxin, and trichloroethylene) for six hours. TIMBR predictions were compared with paired fresh and spent media metabolomics data from the same exposure conditions. Agreement between computational model predictions and experimental data led to the identification of specific metabolites and thus metabolic pathways associated with toxicant exposure. Here, we identified changes in the TCA metabolites citrate and alpha-ketoglutarate along with changes in carbohydrate metabolism and interruptions in ATP production and the TCA Cycle. Where predictions and experimental data disagreed, we identified testable hypotheses to reconcile differences between the model predictions and experimental data. The presented pipeline for using paired transcriptomics and metabolomics data provides a framework for interrogating multiple omics datasets to generate mechanistic insight of metabolic changes associated with toxicological responses.
Scaling in internally heated convection:a unifying theory
<p>The data contains dataset for the paper: Scaling in internally heated convection:a unifying theory. By Qi Wang, Detlef Lohse and Olga Shishkina.</p>
High-yield, wafer-scale fabrication of ultralow-loss, dispersion-engineered silicon nitride photonic circuits
<p>Available data for "High-yield, wafer-scale fabrication of ultralow-loss, dispersion-engineered silicon nitride photonic circuits"</p>
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.