Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
63
datasets available to search
ShareScore release 0.9.0
Dataset results
63 results for “Matlab code”
Matlab code of the ANN model for total alkalinity estimation
<p>Matlab code of the ANN model including generate and execute codes and 5 cruises data building the model.</p>
Matlab code of the ANN model for pH estimation
<p>Matlab code of the ANN model including generate and execute codes and 11 cruises data building the model.</p>
Matlab code for pH estimation
<p>Matlab code of the ANN model including generate and execute codes and 11 cruises data building the model.</p>
Code used in MATLAB and R for the purpose of generating HX difference plots and HX ribbon plots
Open the record for dataset details and reuse information.
Raw data and Matlab code for: Convergence in carnivorous pitcher plants reveals a mechanism for composite trait evolution
Open the record for dataset details and reuse information.
Matlab code for replicating lidar plots
<p>Data necessary to recreate lidar figures and analysis from Wind Energy Science article "The effect of wind direction shear on turbine performance".</p>
The role of boundary length and adjacent patch contrast in guppy mate choice: Dataset, Matlab and R codes
<p>The presence of various combinations of adjacent colours within polymorphic species' colour pattern could have a major impact on mate choice. We studied the role of pattern geometry in predicting mate choice in guppies using boundary strength analysis (BSA). BSA estimates the visual contrast intensity between two adjacent colour patches (<i>ΔS</i>) weighted by the lengths of the boundaries between these adjacent colour patches. We measured both the chromatic (hue and saturation) and achromatic (luminance) <i>ΔS</i> for each pair of adjacent patches. For each male's colour pattern, we measured BSA as both mean (<i>mΔS</i>)<i> </i>and coefficient of variation (<i>cvΔS</i>) of all <i>ΔS</i> weighted by their corresponding boundary lengths. We also determined if specific colour patch boundaries had an impact on female preferences and whether these predicted overall male contrast (<i>mΔS</i>). We found that males with a higher <i>mΔS</i> were more attractive to females and that six boundaries containing either fuzzy black or black as one of the pair colours significantly affected female preferences, indicating that (1) females favoured highly conspicuous males and (2) melanin-based patches could be used as a signal amplifier, not only for orange but for other colours.</p>
Matlab data code
Open the record for dataset details and reuse information.
MATLAB Codes for: A Neural Network Weights Initialization Approach for Diagnosing Real Aircraft Engine Inter-Shaft Bearing Faults
<p><strong>Description:</strong></p> <p>This repository contains the MATLAB codes used in our paper [1] on fault diagnosis of inter-shaft aircraft bearings, published by MDPI Machines. The codes encompass all the necessary materials to reproduce the findings outlined in the paper. </p> <p><strong>Dataset Access:</strong></p> <p>The dataset utilized in this study is available under request from the authors of reference [8] in our paper. To obtain the dataset, please follow the instructions provided by the respective authors.</p> <p><strong>Data Format:</strong></p> <p>The dataset is saved in '*.npy' 3D variable format. To reproduce this study, it is necessary to transform these variables to '.mat' format since the codes are implemented in MATLAB. You can find the codes for transferring the 3D '*.npy' files to '*.mat' files here [<a href="../records/10184606">here</a>]</p> <p>We appreciate your interest in our work.</p> <p>[1] Berghout, Tarek, Toufik Bentrcia, Wei Hong Lim, and Mohamed Benbouzid. 2023. "A Neural Network Weights Initialization Approach for Diagnosing Real Aircraft Engine Inter-Shaft Bearing Faults" <em>Machines</em> 11, no. 12: 1089. https://doi.org/10.3390/machines11121089</p>
Walking stride modulations in Drosophila HS cells, data and MATLAB analysis codes
<p>Data and MATLAB analysis codes for an article titled: Walking strides direct rapid and flexible recruitment of visual circuits for course control in <em>Drosophila.</em></p>
Versatile strategy for homogeneous drying patterns of dispersed particles: Matlab code
<p>Matlab code of "Versatile strategy for homogeneous drying patterns of dispersed particles"</p>
Matlab Dataset and Codes For the Article (Unsteady State Capillary Retention in Porous Media)
<p>The uploaded dataset and software codes contain the Matlab scripts used to solve the capillary retention equation numerically and output results (in the zip file). The file 'plot_article.m' contains the scripts used to display the results as figures attached in the article. </p>
Data and MATLAB code: Glacier contributions to river discharge during the current Chilean megadrought
<p>Data and MATLAB code to support the article <em>Glacier contributions to river discharge during the current Chilean megadrought </em>in <em>Earth's Future</em> by McCarthy and others</p>
MATLAB codes for paper: UBO-EREX: Uncertainty Bayesian-Optimized Extreme Recurrent EXpansion for Degradation Assessment of Wind Turbine Bearings
<p>These codes belong to the following paper. Please cite our work.</p> <p>Berghout T, Benbouzid M. UBO-EREX: Uncertainty Bayesian-Optimized Extreme Recurrent EXpansion for Degradation Assessment of Wind Turbine Bearings. <em>Electronics</em>. 2024; 13(12):2419. https://doi.org/10.3390/electronics13122419</p>
Matlab code for the 'Force–displacement response of in-plane loaded unreinforced brick masonry walls: the Critical Diagonal Crack model'
<p>The repository contains the the Matlab code and the test data (.csv files) used for the analyses and results presented in the research article:</p> <p>Force–displacement response of in-plane loaded unreinforced brick masonry walls: the Critical Diagonal Crack model, <em>Bulletin of Earthquake Engineering</em>,<em> </em>2017, <a href="https://link.springer.com/article/10.1007%2Fs10518-016-0049-7">Link</a></p>
Matlab code for 'Analytical model for the out-of-plane response of vertically spanning unreinforced masonry walls'
<p>This repository contains the Matlab scripts needed to reproduce the results shown in the article:</p> <blockquote> <p>Godio M, Beyer K. Analytical model for the out-of-plane response of vertically-spanning unreinforced masonry walls. Earthquake Engng Struct Dyn. 2017;46:2757-2776. <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/eqe.2929">DOI:10.1002/eqe.2929</a></p> </blockquote> <p>Version history:<br> V1: Matlab code needed to reproduce the plots of Figure 4 of the article is added<br> V2: content PDF-file is added</p>
Collection of data and Matlab-codes for analyzing water dynamic at the Zugspitze.
<p>This collection includes the raw data and the Matlab codes used for the analyses of the article: "Decadal in-situ hydrological observations and empirical modeling of pressure head in a high-alpine, fractured calcareous rock slope" by Scandroglio et al. 2024 [Link].<br>Explanations are included in the file METADATA.docx. See the paper for further details.</p> <p>Documentation and code by Riccardo Scandroglio (<a href="mailto:johannes.leinauer@tum.de">r.scandroglio@tum.de</a>)<br>Technische Universität München, Arcisstr. 21, 80333 München, Germany</p> <p>For updating the analysis: <br>- Water discharges are collected by the Environmental Research Station Schneefernerhaus (contact: Dr. Till Rehm).<br>- Data from the German Weather Service can be downloaded from the official server: <a href="https://cdc.dwd.de/portal/">https://cdc.dwd.de/portal/</a>.<br>- Snow data for SNOWPACK can be obtained from the Bavarian Avalanche Center (contact: Dr. Thomas Feistl).</p> <p>This study was supported by the AlpSenseRely project, funded by the Bavarian State Ministry of the Environment and Consumer Protection (TUS01UFS-76976), and by the Hydro-PF project, funded by the TUM International Graduate School of Science and Technology IGSSE (Team 12.9). </p>
MATLAB Code for "Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients"
<p>This MATLAB code is part of the study titled <em>"Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients"</em>, which has been accepted for publication in the <em>Journal of Imaging (MDPI)</em>. The code supports image processing, feature extraction, and deep learning model training (including LSTM and RexNet) to classify pediatric patients as anemic or non-anemic based on palm, conjunctival, and fingernail images. Full study details are available in this paper:</p> <p>Berghout T. Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients. <em>Journal of Imaging</em>. 2024; 10(10):245. <a href="https://doi.org/10.3390/jimaging10100245">https://doi.org/10.3390/jimaging10100245 </a></p> <p>The datsets use in this work are:</p> <p>Asare, J. W., Appiahene, P. & Donkoh, E. (2022). Anemia Detection using Palpable Palm Image Datasets from Ghana. Mendeley Data. https://doi.org/10.17632/ccr8cm22vz.1<br>Asare, J. W., Appiahene, P. & Donkoh, E. (2023). CP-AnemiC (A Conjunctival Pallor) Dataset from Ghana. Mendeley Data. https://doi.org/10.17632/m53vz6b7fx.1<br>Asare, J. W., Appiahene, P. & Donkoh, E. (2020). Detection of Anemia using Colour of the Fingernails Image Datasets from Ghana. Mendeley Data. https://doi.org/10.17632/2xx4j3kjg2.1</p>
Matlab code and datasets for: Auditory model-based parameter estimation and selection of the most informative experimental conditions
<p>The dataset and the matlab code used for the publication: Auditory model-based parameter estimation and selection of the most informative experimental conditions</p>
Matlab code for " Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in sensory cortex"
<p>Here are the data and code supporting the findings of the paper, 'Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in sensory cortex.'</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.