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567 results for “Simulated datasets”
Human bone marrow IMC dataset and simulation dataset
<p>Human bone marrow IMC dataset and simulation dataset in the paper: IMC-Denoise: a content aware pipeline to enhance Imaging Mass Cytometry. For more details, please check this paper.</p>
Ranque-Hilsch Vortex Tube Simulation Dataset
<p>This repository contains four Computational Fluid Dynamics (CFD) simulation results files of flow inside the Ranque-Hilsch vortex tube, and six additional data files per simulation, each containing relevant transport quantities and gradients thereof along a single streamline.</p>
Supporting datasets used in the paper entitled "Substantial uncertainties in Arctic aerosol simulations by microphysical processes within the global climate-aerosol model CAM-ATRAS"
<p>This archive contains datasets used in the paper entitled "Substantial uncertainties in Arctic aerosol simulations by microphysical processes within the global climate-aerosol model CAM-ATRAS".</p>
Stochastic Finite-Fault Simulated Ground Motion Dataset for Tabriz Region in Iran
<p>A dataset of simulated ground motions for Tabriz region in Iran using stocahstic finite-fault simulation approach based on dynamic corner frequency.<br>The simulated earthquake events are for Mw 7.7, 7.4, 7.1, and 6.8 with focus on investigating the uncertainty in fault rupture plane and hypocenter location.<br>The ground motion time series along with a comprehensive flatfile are uploaded here.</p>
The P-V-T dataset of liquid Fe-C alloys from FP-MD simulations
<p><span>The <em>P</em>-<em>V</em>-<em>T</em></span><span> </span><span>dataset </span><span>of</span><span> liquid </span><span>Fe-C</span><span> alloys with different carbon contents (<em>X</em><sub>C</sub> = 0, 2.1, 4.7, 7.6, and 11.2 wt%) under the <em>P</em>-<em>T</em> conditions of the outer core (~136-330 GPa, 4000-6000 K) are obtained via first-principles molecular dynamics simulations.</span></p>
Dataset for "The effect of parallel electron plateau on banded chorus generation: 1-D PIC simulations in mirror geometry"
<p>Dataset for a paper "The effect of parallel electron plateau on banded chorus generation: 1-D PIC simulations in mirror geometry"</p>
Dataset for the simulated response of vegetation composition and carbon dynamics to variations in drought-heat occurrence
<p>Dataset consisting of model runs from six dynamic global vegetation models each using six different scenarios with varying drought-heat signatures as input. Each zip file contains all the scenario runs for one model.</p>
GRAND-SLAM analysis of simulated and real SLAM-seq datasets for grandRescue
<p>These are several processed datasets for the purpose of investigating 4sU-induced toxicity, mapping impairment and the potential of grandRescue to alleviate these effects.</p> <p>Published dataset: Narain dataset (Narain, et al.): <a href="https://doi.org/10.1016/j.molcel.2021.06.016">https://doi.org/10.1016/j.molcel.2021.06.016</a></p> <p> </p> <p>The zip files contain the full output from the processing pipeline (including the mapped reads, the scripts to run the pipeline and the output). The json file is required if you want to start from scratch. The *.tsv.gz files are the GRAND-SLAM output tables.</p> <p><br> To generate the GRAND-SLAM output yourself, first prepare the mouse & human genomes. Then run the following command with the respective cit-files, prefixes (*.cit) and genomes (e.g. h.ens90 or m.ens102):</p> <p>gedi -e Slam -trim5p 15 -reads *.cit -genomic m.ens102 -prefix grandslam_t15/* -plot -D -modelall</p> <p>To generate the cit file you have to modify the first lines in start.bash to match the paths on your file system, and then run it.</p> <p>You can also start from scratch (i.e., the json file):</p> <p> Prepare the human/mouse genome and their rRNA sequence<br> Run: gedi -e Pipeline -r parallel -j *.json rnaseq_mapping.sh report.sh grandslam.sh</p> <p>Software versions:</p> <p> gedi toolkit 1.0.5<br> GRAND-SLAM 2.0.7<br> STAR version 2.7.10b</p>
WBTmax-China dataset basing on EC-Earth3 simulations (Historical and 4 SSPs scenarios)
<p>The WBTmax-China dataset is comprised the NEX-GDDP-CMIP6 dataset (tasmax, huss) and ERA5 dataset (sp) using the algorithm described in Davies-Jones (2008), implemented by Buzan (2015), and ported to Matlab by Dr Robert Kopp (Rutgers, 2016). The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). This dataThe purpose of this dataset is to provide a set of high resolution, bias-corrected climate change projections that can be used to evaluate extreme heat over China.</p> <p> </p> <p>Due to the data size limit, only monthly maximum WBT and yearly maximum WBT data are provided here. Daily data can also be shared on request (ncao@gdou.edu.cn).</p>
Dataset for manuscript "Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations"
<p>This dataset includes two Jupyterlab book python script and a folder of compressed data. (latest version includes updated script to fix mising variable)</p> <p>Due to the size of the dataset we are unable to include the raw simulation output but have instead inluded all datasets required to plot the figures.</p> <p>The python script "original_analysis_script.ipynb" contains the code that was used to perform the analysis on the outputs from the simulations. This is not intended for public use.</p> <p>The python script "figure_plotting_scripts.ipynb" is a cut-down verison of the original code that can be used to plot the figures as presented in the manuscript. All neccessary data to achieve this can be found in the compressed folder "data_arrays". </p> <p>The scripts will run on Jupyterlab book. Providing the user has the neccessary python modules available the plotting script can be run by amending the paths for the figure outout directory and the uncompressed "data_arrays" directory. These paths can be found at the top of the script.</p> <p> </p>
Dataset for paper "Two-dimensional particle-in-cell simulations of magnetosonic waves in the dipole magnetic field: On a constant L-shell"
<p>* Reduced datasets for figures in the manuscript.</p> <p>* Code for producing the simulation data.</p>
Dataset: Justify your disability! A simulated medical evaluation as a robust novel stress induction paradigm in chronic pain patients.
<p><span>Maladaptive stress responses may exacerbate chronic widespread pain (CWP) and deserve further investigations. Yet, existing stress induction paradigms lack relevance for individuals with this condition. Hence, we developed the Social Benefits Stress Test (SBST), adapted from the Trier Social Stress Test. <span>Instead of a job interview, the main task consists in justifying the inability to work.</span> </span></p> <p><span><span>Forty women with CWP in the context of hypermobile Ehlers-Danlos syndrome or hypermobility spectrum disorders were included. They underwent a 30-min baseline, the new stress task and a recovery period. The psychophysiological stress response was captured using self-reported stress ratings, salivary cortisol and α-amylase levels, as well as continuous physiological monitoring of heart rate variability (HRV) and electrodermal activity (EDA).</span></span><span> </span></p> <p><span>Compared to baseline, the analysis revealed </span><span>a significant and transient increase in stress ratings </span><span>during the stress task,</span><span> </span><span>associated with a peak in salivary biomarkers concentrations.</span><span> </span><span>The </span><span>HRV signal analysis showed a significant </span><span>decrease in high frequency power (HF), and </span><span>increases in heart rate,</span><span> </span><span>low frequency power (LF) and in LF/HF ratio. The EDA analysis revealed a significant increase in skin conductance level (SCL) tonic component and skin conductance response (SCR). Subjective </span><span>stress ratings positively correlated with changes in salivary biomarkers, LF/HF ratio and EDA outcomes</span><span>.</span></p> <p><span>The SBST induced a reproducible moderate stress response across subjective and physiological measures in a population of CWP patients, validating this task as a relevant experimental model of social stress in chronic pain. The SBST is a useful tool to study the relationship between stress and chronic pain.</span></p>
Reads of the iMESS simulated metagenomic datasets
<p>Reads of the iMESS simulated metagenomic datasets</p>
The non-local reactive flow simulation dataset
<h1><strong>The non-local reactive flow simulation dataset</strong></h1> <ol> <li>Animation <ul> <li>propagation rate_0.1u: the animations of wormholing with fracture propagation rate = 0.1*u0</li> <li>propagation rate_1u: the animations of wormholing with fracture propagation rate = 1*u0</li> <li>propagation rate_5u: the animations of wormholing with fracture propagation rate = 5*u0</li> </ul> </li> <li>Dataset: the drawing data of Figs. 3-6 in main text</li> </ol>
Dataset for 'Development of Super Plasma Bubbles during the September 7, 2017 Geomagnetic Storm Revealed by Coupled GITM-SAMI3 Simulations'
<p>This dataset includes the binary files of a simulation and the plotting programs.</p>
SRDTrans dataset: simulated SMLM data under different SNRs
<p>SRDTrans dataset: simulated SMLM data under different SNRs</p>
Dataset from "A new simulation method of hydrothermal coupling transfer in freeze-thaw process based on the water physical phase change"
<p>The original dataset comprises precipitation and atmospheric temperature monitoring data for the entire duration of 2020-2021 in the region located in Fusong County, Baishan City, southeastern Jilin Province (127°01'-128°06'E, 41°42'-42°49'N, covering an area of 6159 square kilometers)., along with temperature and moisture monitoring data for two designated sites, T01 and T02, at soil depths of 20cm, 40cm, 70cm, 100cm, and 150cm.</p>
Dataset for phase-field simulation showcasing impact of clay-coating on sandstone reservoir
<p>The numerical data in this repository consists of the simulation data of impact of clay-coating on sandstone reservoir quality. The simulations were performed using the software package named "Pace3D".</p> <p>The data is organized, the way it appears in the figures (only, those figures, where simulation data is rquired) in the manuscript and the folders are named accordingly.</p> <ul> <li>The intermediate growth stage simulation data were translated from Pace3D output data format to VTK data format. Using open-source software tools such as Paraview, the VTK files can be examined. Each subfolder's data files are likewise compressed (*.gz file extension). Data must be decompressed for visualization (e.g. with gzip, 7zip).</li> </ul>
Molecular dynamics simulation dataset
<p>This dataset contains Molecular Dynamics trajectories of 9 endecapeptides, positioned in the pore construct. One trajectory is done in absence of any transolcating peptide.</p> <p>.xtc files correspond to the trajectories and the .gro files contain the corresponding structures, they can be viewed, for example, with VMD.</p> <p>Every trajectory is the concatenation of 8 trajectories, of 125 ns each, which differ for the orientation of the centrai side-chain with respect to the frame of the pore. The following name parts indicate the central residue. The 73-80 files correspond to the construct alone, taken as a reference. </p> <p>1-8 trp; 9-16 tyr; 17-24 arg; 25-32 his; 33-40 glu; 41-48 gln; 49-56 ser; 57-64 ile; 65-72 gly; 73-80 no peptide.</p>
5 m Simulations dataset
<p>Unzip into directories UW_data and Sim_3. Contains all data</p>
ScienceDex guides
Understand access before you commit
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.