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453
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453 results for “Dynamic dataset”
Molecular dynamics-generated ensemble dataset of ubiquitin; for "PROTHON: A Local Order Parameter-Based Method for Efficient Comparison of Protein Ensembles"
<p>The molecular dynamics-generated ensemble dataset (229Mb zip file) for ubiquitin, used in the manuscript "PROTHON: A Local Order Parameter-Based Method for Efficient Comparison of Protein Ensembles", submitted to the Journal of Chemical Information and Modeling (JCIM). The dataset consists of 6 .dcd files, and one .pdb file. </p>
Supporting datasets for "Dynamical Equilibrium between Brønsted and Lewis Sites in Zeolites: Framework-Associated Octahedral Aluminum"
<p>Tar of directory tree containing input files for VASP and CASTEP calculations of local geometries and NMR parameters (both static and dynamic) for systems described in the manuscript, including CHA and MOR in H form, various Si/Al ratios and water loadings.</p>
Dataset for nonlinear dynamic analysis to quantify workload in pedaling
<p>The dataset contains raw data and the data underlying the figures and tables of the following research article: </p> <p>"Quantifying workload using nonlinear dynamical measures of biomechanical parameters during cycling on a roller trainer"</p> <p>Journal: PLOS ONE</p> <p>Manuscript Nr: PONE-D-22-23944</p>
TauBench: A Dynamic Benchmark for Graphics Rendering (Dataset)
<p>TauBench is a dynamic graphics rendering benchmark dataset, targeted especially towards rendering methods relying on the reuse of temporal data. Path traced reference frames for the dataset are available at <a href="https://zenodo.org/record/7907164">https://zenodo.org/record/7907164</a>.</p> <p>The related conference paper (describing TauBench 1.0) is available at <a href="https://zenodo.org/record/6223036">https://zenodo.org/record/6223036</a>. More information about the 1.1 update and about the dataset in general can be found at <a href="https://webpages.tuni.fi/vga/taubench">https://webpages.tuni.fi/vga/taubench</a>.</p>
Compressed Datasets for Work "Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction"
<p>Compressed version of RHEED image datasets and Gaussia fitting parameter datasets for samples "treated_213nm", "treated_81nm" and "untreated_162nm" in the work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Dataset - Fast mechanical and biochemical cell wall dynamics underlie plant nutation
<p>Dataset and codes (Python and Matlab) used to produce the figures in the article "Fast mechanical and biochemical cell wall dynamics underlie plant nutation".</p>
Supporting dataset for "Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon"
<p>Supporting dataset for the manuscript “Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon", currently under review in the Journal of Geophysical Research: Biogeosciences.</p>
Dataset on flow dynamics in rivers with riffle-pool morphology: results from case studies and field experiments on the Tagliamento River, Italy
<p>Riffle-pool sequences in rivers, formed due to interactions between river flow, alluvium and vegetation, provide vital ecological services to aquatic organisms and therefore are considered as fundamental habitats in fluvial ecosystems. Nevertheless, the knowledge of associated riffle-pool hydrodynamics is limited because of a lack of high-resolution data collected in rivers and scaling effects present in laboratory studies. Here we present a dataset on turbulent flow structure in riffle-pool sequences of a natural river. Two case studies and two field-based experiments were carried out in a side branch of the braided gravel-bed Tagliamento River in Italy. Our case studies deliver detailed information about the there-dimensional structure of mean and turbulent flows in natural riffle-pool/run and pool-riffle/glide transitions. Field-based experiments completed with the in-stream flume models of a riffle-pool transition and a shallow jet model provide a methodological bridge for linking simplified hydrodynamic theories of shallow jets to complex flow structure documented by our case studies. Therefore, this dataset enables examination of scaling effects and can be widely used for validation of numerical models.</p> <p> </p>
DYNAMIC TZ Cluster RCT Dataset
<p>De-identified dataset from the DYNAMIC Tanzania cluster-randomized controlled trial evaluating the impact of the ePOCT+ package on antibiotic prescription (superiority analysis) and clinical failure (non-inferiority analysis) compared to usual care. Study conducted in the Mbeya and Morogoro regions of Tanzania between December 2021 to October 2022.</p>
Dataset: Live cell dynamics of production, explosive release and killing activity of phage tail-like weapons for Pseudomonas kin exclusion
<p>This dataset is related to "Live cell dynamics of production, explosive release and killing activity of phage tail-like weapons for Pseudomonas kin exclusion" and contains the raw data obtained.</p>
Dataset of dynamical structure factor of Lieb-Liniger model
<p>This dataset contains all data and scripts to plot the figures of the article arXiv:2303.09208</p>
Dataset from J. Am. Chem. Soc. paper: Off-Stoichiometric Restructuring and Sliding Dynamics of Hexagonal Boron Nitride Edges in Conditions of Oxidative Dehydrogenation of Propane
<p>Dataset of the article "Off-Stoichiometric Restructuring and Sliding Dynamics of Hexagonal Boron Nitride Edges in Conditions of Oxidative Dehydrogenation of Propane" accepted in J. Am. Chem. Soc.</p> <p>- armchair.db: The ASE database of all unique surface states from the grand canonical genetic algorithm (GCGA) searches of the restructured armchair edge of h-BN.</p> <p>- zigzag.db: The ASE database of all unique surface states from the GCGA searches of the restructured zigzag edge of h-BN.</p> <p>Other key info such as DFT-calculated energies and magnetic moments are included in the metadata of each entry in the ASE databases.</p> <p>GCGA searches are performed using the workflow in the GOCIA package (https://github.com/zishengz/gocia)</p>
Global Datasets of Hourly Carbon and Water Fluxes Simulated Using a Satellite-based Process Model with Dynamic Parameterizations
<p>This new global hourly dataset serves as a 'handshake' among process-based models, remote sensing, and the eddy covariance flux network, providing a reliable long-term estimate of global gross primary productivity (GPP) and evapotranspiration (ET) with diurnal patterns and facilitating studies related to ecosystem functional properties, global carbon, and water cycles.</p> <p>The dataset include the GPP and ET of sunlit and shaded leaf components at an hourly timescale and a spatial resolution of 0.25-degree from 2001 to 2020.</p>
Dataset: Capturing dynamical correlations using implicit neural representations
<p>Dataset of Linear Spin Wave Theory simulations accompanying the manuscript: Capturing dynamical correlations using implicit neural representations. </p>
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns
<p>This is the repository of MDCC: A Multimodal Dynamic Dataset for Donation-based<br> Crowdfunding Campaigns. For details, please refer: https://github.com/Jiayang-L1/mdcc</p> <p><br> V2: We added json and csv files for easier use and renamed it with standard name. Specifically, the "comment_cor_time" column in new files means the corresponding donation time of each comment.</p>
Sims et al. A Tale of Two Pools: The Dynamic Influence of Subsurface Geological Processes on the Assembly and Diversification of Thermophilic Microbial Communities in Hydrothermal Systems - Supplementary Datasets
<p>These datasets comprise the supplementary datasets found in Sims et al. A Tale of Two Pools: The Dynamic Influence of Subsurface Geological Processes on the Assembly and Diversification of Thermophilic Microbial Communities in Hydrothermal Systems, <strong><em>Geochimica et Cosmiochimica Act </em></strong></p>
A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil Dataset
<p>This dataset contains the reference solutions used for training the two neural networks in 1-, 2- and 3-D cases for the article:"A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil" by Zeyuan Song and Zheyu Jiang, submitted to the journal Water Resources Research. </p> <p>This dataset which describes the relationship between the pressure head and number of particles used to train two MLPs in D-GRW based solvers consists of three files, i.e., 1-, 2- and 3-D case study. There are two parts, original reference solutions and reference solutions, corresponding to the original solutions generated by coarse mesh solvers and solutions after data augmentation process, respectively.The dataset is generated by GRW based solvers and simulation results (e.g., Celia's finite difference method). Original reference solutions admit GRW proportionality assumption. We initialize the number of particles by multiplying the initial condition and 1E10. </p>
Dynamic social interactions and keystone species shape the diversity and stability of mixed-species biofilms – an example from dairy isolates - Dataset
<p>We previously reported a bacterial four-species biofilm model comprising <i>Stenotrophomonas rhizophila </i>(SR), <i>Bacillus licheniformis </i>(BL), <i>Microbacterium lacticum </i>(ML), and <i>Calidifontibacter indicus</i> (CI) that were isolated from the surface of a dairy pasteuriser after cleaning and disinfection. These bacteria produced 3.13-fold more biofilm mass compared to the sum of biofilm masses in monoculture (<a href="https://doi.org/10.3389/fmicb.2023.1159434">https://doi.org/10.3389/fmicb.2023.1159434</a>). In a subsequent experiment we confirmed that the observed community synergy resulted from dynamic social interactions among various species pairs, encompassing commensalism, exploitation, and amensalism. <i>M. lacticum</i> appeared to be the keystone species as it increased the growth of all other species that led to the synergy in biofilm mass. Interactions among the other three species (in the absence of <i>M. lacticum</i>) also contributed towards the synergy in biofilm mass. Bacterial cell-free-supernatants were also investigated to assess the nature of the observed synergy. The first four sheets of the Excel file contain raw cell count data for the four species (SR, BL, ML, and CI), recorded every 4 h over a 24 h period on the surface of stainless steel (SS) in the presence of brain-heart-infusion (BHI) medium and skim-milk (SM). Data related to individual bacterial cell counts in various mixed-species biofilms are also presented. These biofilms were developed on SS in BHI for h. Data related to bacterial biofilm masses in different mixed-species biofilm combinations are also presented, showcasing the effect of replacing one strain with its CFS. Species written in red indicate that their CFS was used, not their viable form. </p>
Coupled stochastic modelling of hierarchical channel network dynamics and metapopulation persistency - Dataset
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Metabolomics dataset for disentangling plant and environment-mediated drivers of active rhizosphere 1 bacterial community dynamics during short-term drought
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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.
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.