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18 results for “MATLAB script”
Datafile DF1 + Matlab Scripts
<table> <tbody> <tr> <td>Supporting datafile </td> <td>DF1.csv</td> </tr> </tbody> </table> <table> <tbody> <tr> <td> <p>This file provides all experimental data associated with paper: Matrix gas flow through ‘impermeable’ rocks - shales and tight sandstone , by Ernest Rutter, Julian Mecklenburgh and Yusuf Bashir</p> <p>Matlab Scripts is a compressed archive containing scripts for (a) the finite element simulaton of the stress state in a hydrostatically loaded sample with end piston constraints and (b) scripts for processing permeability data. A readme file is provided to explain the diferent fiels that make up the archive.</p> </td> </tr> </tbody> </table>
MATLAB script for data sorting
<p>Supporting information associated with the publication "New insights into single-molecule junctions using a robust, unsupervised approach to data collection and analysis", <em>J. Am. Chem. Soc.</em>, 2015, DOI: 10.1021/jacs.5b05693. This MATLAB script is a representative example of that used to objectively sort <em>I</em>(<em>s</em>) traces obtained from <strong>1,8-ODT</strong>-coated and blank (uncoated) Au substrates. A short 'Guide to...' document is also included to introduce the user.</p>
Matlab scripts
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A river on fiber: high resolution fluvial monitoring with distributed acoustic sensing – Data, Matlab Scripts and App
<p>Matlab software and data associated with Roth et al. (submitted to Seismica, 2025).</p>
Erora opisena optical and tomography data and associated MATLAB scripts
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Micro-CT data and associated MATLAB scripts from the skeleton of the sea urchin Cidaris rugosa at four different resolutions
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MATLAB scripts and raw experimental data for the paper "Optimizing measurements of linear changes of NMR signal parameters" by Javier Agustin Romero, Krzysztof Kazimierczuk and Paweł Kasprzak
<p>Classical_fit.m - Comparison of simulation results and theoretical predictions for the linear fit of the resonance frequencies. </p> <p>Radon_transform - the same, but using Radon transform to determine linear coefficients.</p> <p>Amplitude.m - Comparison of errors of the linear coefficients for varying amplitude fit in simulations and theory.</p> <p>process_measurements.m - script to process experimental data (caffeine peak at 7.90 ppm). The data are stored in real.mat and imag.mat</p> <p>For the details of theoretical formulas, see the paper "Optimizing measurements of linear changes of NMR signal parameters" by Javier Agustin Romero, Krzysztof Kazimierczuk, and Paweł Kasprzak. The scripts were used to generate Figures in the paper.</p>
Data and code for "Quantum chaos on edge" (matfiles, a matlab script, and figures)
<p>The data files and matlab script to generate Figure 5,7,8 of the manuscript "Quantum chaos on edge" are uploaded.</p> <ul> <li>In 'script' folder, there is a single matlab file to generate Fig 5,7,8. </li> <li>In 'raw_data' folder, there are mat-files to be processed by the script file.</li> <li>In 'figures' folder, the generated figures are included.</li> </ul>
Data and code for "Experimental Observation of Topological Quantum Criticality" (matfiles, matlab script, and figures)
<p>Matlab code "zenodo_topological_quantum_criticality.m" generates Figure2 and 3 in the main script, and the Figure 2 and 3 in the Supplemental material. The generated figures are saved under folder 'figure', and the datasets used for the generation are saved under folder 'matfiles'. </p> <p>The raw measurement data (approx. 350 GB) will be shared only upon request. Please contact the Integrated Quantum Optics group (head: C. Silberhorn), Paderborn University.</p> <p>This is additional information of the publication arXiv:2301.05428 "Experimental Observation of Topological Quantum Criticality"</p>
Southern Baltic Eddies from Model Data (2019-2023) with associated scripts in MATLAB
<p>The data regarding the eddies are located in the MATLAB file 'eddies.mat' and are structured into a single variable eddies{day,time}{eddy,1}.params, where day refers to consecutive days of the non-leap year Julian calendar (365 days in the model year), time denotes one of the 4 six-hour averages, and eddy numbers the subsequent eddies. params = {year, month, day, avgNo, is_ended_flag, xs, ys, sizes, omegas, duration}. The figures used in the article were generated using the script 'eddies_statistics.m'. The file 'constants.mat' contains the variables used to produce the figures. The 'calculate_g1.m' function was used to calculate the Gamma_1 function, 'eddy_size.m' for calculating the eddy sizes, 'cluster_points.m' for clustering points, and 'lat_lon_to_x_y.m' for converting geographic longitude and latitude into local x, y coordinates.</p>
Quantification of Error Sources with Inertial Measurement Units in Sports - Data and Matlab Scripts
<p>Inertial measurement units (IMUs) offer the possibility to capture the lower body motions of players of outdoor team sports. However, various sources of error are present when using IMUs: the definition of the body frames, the soft tissue artefact (STA) and the orientation filer. Methods to minimize these errors are currently being used without knowing their exact influence on the various sources of errors. The goal of this study was to quantify each of the sources of error of an IMU separately. An optoelectronic system was used as a golden standard. Rigid marker clusters (RMCs) were designed to construct a rigid connection between the IMU and four markers. This allowed for the separate quantification of each of the sources of error. Ten subjects performed nine different trials, varying both in type of movement and in movement intensity. The error of the definition of the body frames (10.9-18.1 deg RMSD), the STA (3.6-9.4 deg RMSD) and the error of the orientation filter (2.8- 13.1 deg RMSD) were all quantified separately. The data and code to process the data can be found in this publication.</p> <p> </p>
ExperimentalSetup_SpringModel: Matlab Script
<p>A Matlab script that visualises our validation of the Experimental Setup approach</p>
IMD New High Spatial Resolution (0.25X0.25 degree) Long Period (1901-2022) Daily Gridded Rainfall Data Set Over India: Matlab script for merging into single netcdf/mat file with datetime stamping
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MATLAB scripts for reproducing figures in "Atlantic Tropical Cyclones Downscaled from Climate Reanalyses Show Increasing Activity Through the Late 19th and 20th Centuries"
<p>A set of MATLAB scripts that contain the data for all 4 figures of "<strong>Atlantic Tropical Cyclones Downscaled from Climate Reanalyses Show Increasing Activity Through the Late 19<sup>th</sup> and 20<sup>th</sup> Centuries" </strong> and allows the user to plot these data. Please read the very short ReadMe file before using the scripts. </p>
Aircraft Aerosol Data and MATLAB Script for Visualisation on 17/06/22
<p>A dataset containing all data from an ultralight aircraft over several flights between Feb 21 and June 22, including flight log data, MCPC, STAP and OPC data. Also includes a data visualisation script used for the manuscript "Evolution of the planetary boundary layer over Copenhagen investigated using aircraft aerosol measurements and the model DEHM".</p>
The dataset, the Python and Matlab scripts for the parametrization of surface-layer turbulent fluxes
<p>It contains calculations and comparisons of stability parameters, the momentum transfer coefficients and the heat transfer coefficients for different near-surface turbulence parameterization schemes.</p>
Lab experiment data and ILS model matlab script
<p>The uploaded files include dataset of lab experiments for thermal property estimation in thawed and frozen quartz sand, ice, and dry quartz sand. </p> <p>The temperature breakthrough curve fitting is completed by the model described in the Matlab script. </p>
Input data and MATLAB scripts used in the Master's project
<p>This folder contains the input data and MATLAB scripts used during the Master's project.</p> <p>The master's project investigates the effects of yaw misalignment on power production for a passively yawed floating MR system. High temporal resolution experimental wind data is analyzed and used for various analyses. An in-house Matlab code is developed to simulate the floating MR system's yawing motions based on wind speed and direction input time series. </p> <p>The input data is provided in ten ASCII TXT files containing experimental wind data during the year 2014. The experimental data is sampled at the Skipheia wind measurement station located at Frøya in Trøndelag. The ten ASCII TXT files represent each month during 2014, with the exception of January and February. The ASCII TXT files were provided by the data source as presented in the folder, which explains how the files are named.</p> <p>A short overview of how the scripts were used:</p> <ul> <li>April_30days.m and June_30days.m were used for providing Weibull distributions and a histogram in the Theory chapter</li> <li>Ideal_conditions_9months.m was used for providing a Gaussian distribution in the Theory chapter</li> <li>Yaw_misalignment.m was used for a percentage power-loss overview for yaw misalignments up to 90 degrees</li> <li>Ideal_conditions_9months.m was used for power production analyses in ideal conditions (no yaw misalignment)</li> <li>Low_speed_yawmis.m was used for an aero-hydro-dynamic analysis of a low wind speed situation</li> <li>High_speed_yawmis.m was used for an aero-hydro-dynamic analysis of a high wind speed situation</li> <li>Extreme_speed_yawmis.m was used for an aero-hydro-dynamic analysis of an extreme wind speed situation</li> <li>Low_speed_yawmis.m, High_speed_yawmis.m, and Extreme_speed_yawmis.m were used for an angular rate of yaw correction analysis</li> <li>June_30days.m and March_8days.m were used for illustrating the variance in experimental wind data</li> <li>WindRose.m was used for distributing the wind speeds and wind directions of the experimental data (developed by other researchers)</li> </ul>
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.