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.
2,208
datasets available to search
ShareScore release 0.7.1
Dataset results
2,208 results for “coupling”
Processed data used for JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations"
<p>This is the processed dataset used in the JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations" by Xiao Ge.</p> <p>Please contact the author (gexiao@tamu.edu) for all the original/processed outputs of R-CESM, and use the following original papers as citations.</p> <p>The dataset used in this research includes:</p> <p>1. Loop Current Dynamics 2009-2011: LC_*.nc is the processed (reorganized) data for each in-situ station, * represents their station ID</p> <ul> <li>https://digital.library.unt.edu/ark:/67531/metadc955416/</li> <li>https://www.sciencedirect.com/science/article/pii/S0377026516301348?via%3Dihub</li> <li>https://search.dataone.org/view/%7BBD2513E6-3B34-4B7C-BCB9-3C4ED5E8D0FB%7D</li> </ul> <p>2. Regional Community Earth System Model, R-CESM: <a href="https://zenodo.org/api/records/13932074/draft/files/h.nc/content" target="_blank" rel="noopener noreferrer">h.nc</a> is the bathymetry data of R-CESM; cmpr_*.nc files are provided as examples of the original R-CESM outputs; pvsf_prho_*.nc are the processed (subsampled at the target region and interpolated on potential density layers, derived stream function, potential vorticity, and relative vorticity) R-CESM outputs used in this research; and <a href="https://zenodo.org/uploads/13932074" target="_blank" rel="noopener noreferrer">LC_pv_40hlp_2013.nc</a> is the example of organized processed R-CESM (pvsf_prho_*.nc files) containing potential vorticity and relative vorticity for figures plotting</p> <ul> <li>https://journals.ametsoc.org/view/journals/bams/102/9/BAMS-D-20-0024.1.xml?tab_body=fulltext-display</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p>
Spatial Room Impulse Response Dataset: A Robot's Journey Through Coupled Rooms of a Reverberant University Building
<p>This is a dataset of Spatial Room Impulse Responses obtained by a robot equipped with a microphone array.</p> <p>The measurements were conducted in a reverberant university building, the <em>Helmholtz</em> building at<em> Technische Universität Ilmenau</em> (coordinates: N50.6815788133375°, E10.939294371903342°). All the floors in the building are covered with bare stone tiles, the walls are not acoustically treated. Only the hallway has a suspended acoustic ceiling. The file "Pictures Overview.jpg" shows some impressions of the building. Note that the floorplan only shows parts of the building that were connected to the measurement area by open doors.</p> <p>The area covered by the robot is in a hallway on the top floor (2nd floor starting with ground floor) with two stairwells at both ends. To specifically study the behavior of coupled rooms and occluded sources, the sound sources were placed in adjacent sections of the building and on multiple floors. See the file "Measurement Overview.jpg" for an overview of the source positions and the receiver areas covered. Areas 2 and 3 were captured with a higher spatial resolution than area 1 to analyze the transition between the hallway and the staircases. The receiver positions form a uniform grid, the pitch between positions is shown in the following table. Due to time and technical constraints, only a maximum of 3 sources were used per run, so there are not all combinations of sources and receiver areas. Refer to the following table to see which source was active for which area and which zip file contains the according data:</p> <table> <tbody> <tr> <th>Filename</th> <th>Sources</th> <th>Receiver Area</th> <th>Receiver Positions [ct]</th> <th>Pitch [cm]</th> </tr> </tbody> <tbody> <tr> <td>Helmholtzbau_OG2_HM_HS.zip</td> <td>HM, HS</td> <td>Area 1</td> <td>143</td> <td>50</td> </tr> <tr> <td>Helmholtzbau_OG2_SML_SSL_SSU.zip</td> <td>SML, SSL, SSU</td> <td>Area 1</td> <td>154</td> <td>50</td> </tr> <tr> <td>Helmholtzbau_OG2_SMU_SML_HM.zip</td> <td>SMU, SML, HM</td> <td>Area 2</td> <td>88</td> <td>25</td> </tr> <tr> <td>Helmholtzbau_OG2_SSU_SSL_HS.zip</td> <td>SSU, SSL, HS</td> <td>Area 3</td> <td>92</td> <td>25</td> </tr> </tbody> </table> <p>As an example "Plot Reverberation Time.jpg" shows the reverberation times for all measured positions of Area 1 and 2 with speaker HM.</p>
Multi-segment phase coupling to oscillatory visual drive, Gait & Posture (2021): Data
<p>Data set accompanying the publication:</p> <p>Engel, D., Schwenk, J., Schütz, A., Morris, A. P., & Bremmer, F. (2021). Multi-segment phase coupling to oscillatory visual drive. <em>Gait & posture</em>, <em>86</em>, 132–138.</p> <p><a href="https://doi.org/10.1016/j.gaitpost.2021.03.010">https://doi.org/10.1016/j.gaitpost.2021.03.010</a></p>
Data for "Artificial out-of-plane Ising antiferromagnet on the kagome lattice with very small further neighbour couplings"
<p>Open access data and small scripts for the Figures of Colbois, Hofhuis, Luo, Wang, Hrabec, Heyderman and Mila, PRB 2021 (please cite upon using this data).</p> <p>Each folder contains a specific README file regarding its content. Here is only a short summary of the various folders contents:</p> <ol> <li>Colbois_Hofhuis_Micromagnetics_FurtherNeighbourInteractions_DATA : raw data from the micromagnetic simulations with MuMax</li> <li>Colbois_Micromagnetics_FurtherNeighbourInteractions_Analysis : Mathematica and Jupyter notebooks for the analysis of the micromagnetic simulations results and the creation of the corresponding Figures.</li> <li>Hofhuis_MFMandTIF_DATA : raw images and data for the spin configurations for the various samples of the experiment.</li> <li>Luo_Wang_Hofhuis_Protocols : text files describing the protocols for the sample fabrication and for the demagnetization process.</li> <li>Colbois_ExperimentalConfigurations_ANALYSIS : results and figures of the analysis of the data in Hofhuis_MFMandTIF_DATA.</li> <li>Colbois_MCandTNdata_J1 : data and analysis for the nearest neighbour model in zero field.</li> <li>Colbois_TNdata_J1-h : data and analysis for the nearest neighbour model in a field</li> <li>Colbois_J1J2_Data : MC data for all the plots related to the J1-J2 model</li> <li>Colbois_J1J2J3ph_Data : MC correlations data for the 1/3 magnetisation plateau, and magnetisation data for all fields.</li> </ol> <p> </p> <p> </p> <p> </p> <p> </p>
Data input for the RegMex model experiment on the power system and flexible sector coupling
<p>This file provides the input data used in the power system flexibility model experiment performed within the RegMex project. Comprehensive information about the project can be found in the project report [Lechtenböhmer2018] (in German, see link in the file). In the experiment performed with the data documented here, three scenarios were considered, labelled "Import", "Decentralized" and "Offshore". This file contains the input for all scenarios. All further information on the model and scenario configuration is available from the project report. Many technology parameter have been derived as own assumptions within previous projects, relying on different sources. Details can be found in the cited PhD and masters theses. In the experiment, Germany was modelled with 18 regions reflecting the transmission grid operator zones (see map in the file).</p>
Figure 7 in Intra- and interspecific skull variation in two sister species of the subterranean rodent genus Ctenomys (Rodentia, Ctenomyidae): coupling geometric morphometrics and chromosomal polymorphism
Figure 7. Phenogram computed from the Mahalanobis distances between chromosomal groups for Ctenomys torquatus from Brazil (2n = 40, 44, and 46), C. torquatus from Uruguay (2n = 44u), and Ctenomys pearsoni (2n = 66 and 70). Tree made by using the neighbour-joining method with branch lengths proportional to morphological distances. Scale bar: 4 units.
Figure 4 in Intra- and interspecific skull variation in two sister species of the subterranean rodent genus Ctenomys (Rodentia, Ctenomyidae): coupling geometric morphometrics and chromosomal polymorphism
Figure 4. Kernel density estimates on principal components (PC) 1 and 2 of shape variables and convex hulls for specimens of Ctenomys torquatus (•) and Ctenomys pearsoni (Δ). Variance percentages are given on the y axis. Dark areas indicate higher density regions.
Figure 6 in Intra- and interspecific skull variation in two sister species of the subterranean rodent genus Ctenomys (Rodentia, Ctenomyidae): coupling geometric morphometrics and chromosomal polymorphism
Figure 6. Plot of the six chromosomal populations for the first two axes of the linear discriminant analysis (LDA) for three integrated views. Ctenomys torquatus, 2n = 40, 44, 44u, and 46; Ctenomys pearsoni, 2n = 66 and 70.
Figure 3 in Intra- and interspecific skull variation in two sister species of the subterranean rodent genus Ctenomys (Rodentia, Ctenomyidae): coupling geometric morphometrics and chromosomal polymorphism
Figure 3. Box-and-whisker plots showing the distribution of centroid size for the lateral view of the skull of two Ctenomys torquatus and Ctenomys pearsoni specimens, and for each sex. Upper and lower hinges correspond to the first and third quartiles, and whiskers correspond to the 95% confidence interval.
Figure 2 in Intra- and interspecific skull variation in two sister species of the subterranean rodent genus Ctenomys (Rodentia, Ctenomyidae): coupling geometric morphometrics and chromosomal polymorphism
Figure 2. Ctenomys torquatus skull, with indication of morphological landmarks for the dorsal (A), ventral (B), and lateral (C) views of the cranium. Appendix 2 gives the key to the landmarks. Scale bar: 1 cm.
Series AC Arc Fault Detection Method Based on High-Frequency Coupling Sensor and Convolution Neural Network
<p>The data provided can be used for the development of methods for the detection of arcing faults in a domestic low-voltage electrical networks (230V - 50 Hz). The data files are current and voltage signatures experimentally measured.</p> <p>Test for to produce an arcing fault : Open contact electrodes and Carbonized path wires</p> <p>The ReadMe file describes :</p> <p>- the test set up and the the procedure followed to make the measurements</p> <p>- the list of household appliances and their main characteristics.</p> <p>- the name of the data files</p> <p>- the type of arcing faults</p>
Microsatellite dataset from: The fast invasion of Europe by the box tree moth: An additional example coupling multiple introduction events, bridgehead effects and admixture events.
<p>Genotypes of native and invasive populations of Cydalima perspectalis for 15 microsatellites generated for our paper "The fast invasion of Europe by the box tree moth: An additional example coupling multiple introduction events, bridgehead effects and admixture events."</p> <p>This folder contains:<br> - ReadMe file giving the following information</p> <p>- "Data_Cydalima_genotype.xlsx” containing populations information and individuals genotype for the 15 microsatellites developed by Bras et al. 2018 (Eur. J. Entomol.)</p> <p> </p> <p>This work was done in the frame of a regional project called INCA (grant from Région Centre Val de Loire).</p>
Control of Electron State Coupling in Asymmetric Ge/GeSi Quantum Wells - DataSet
<p>Relevant dataset (FTIR data as TM/TE vs energy) for the publication "Control of electron state coupling in asymmetric Ge/GeSi quantum wells" published in Physical Review Applied (10.5281/zenodo.2319242)</p>
Animated E3SM V1 High Resolution Full Coupled Sea Ice Thickness and Extent with mid-20th Century Atmospheric Constituents
<p>This animated GIF file visualizes daily grid-cell mean sea ice thickness from version 1 of the Energy Exascale Earth System Model (E3SM) using 25km Atmosphere/Land and 8-16km Sea Ice-Ocean resolutions as described in the manuscript "The DOE E3SM coupled mo del version 1: Description 1 and results at high resolution". River routing is resolved at 0.125˚. This fully coupled simulation was spun-up for 6 years, and then proceeded for 50 subsequent years using HighResMIP protocols for continuuous 1950s atmospheric constituents. The animation shows both pan-Arctic and Southern Ocean daily sea thickness evolution in each frame for model years 46 to 55, truncated at 15% sea ice concentration, and is best viewed from within a web browser.</p>
Replication Data for "How Closely are Common Mutation Operators Coupled to Real Faults?"
<p># Replication Data for "How Closely are Common Mutation Operators Coupled to Real Faults?"</p> <p>## Overview</p> <p>In mutation testing, faulty versions of a program are generated through automated modifications of source code. These mutants are used to assess and improve test suite quality, under the assumption that detection of mutants is indicative of a test suite's ability to detect real faults - i.e., that mutants and faults have a semantic relationship. Improving the effectiveness - in both cost and quality - of mutation testing may lie in better understanding this relationship, in particular with regard to how individual mutation operators (types) couple to real faults. </p> <p>In this study, we examine coupling between 32,002 mutants produced by 31 mutation operators and 144 real faults, using a scale based on number of failing tests and reasons for failure. Ultimately, we observed that 9.92% of the mutants are strongly coupled to real faults, and 51.03% of the faults have at least one strongly coupled mutant. We identify and examine mutation operators with the highest median coupling, as well as the operators that tend to produce non-compiling mutants, undetected mutants, and mutants that cause the most tests to fail outside of the tests that detect the actual fault. We also examine how coupling could be used to filter the set of operators employed, leading to potentially significant cost savings during mutation testing. Our findings could lead to improvements in how mutation testing is applied, improved implementation of specific mutation operators, and inspiration for new mutation operators. </p> <p>## Data Contained in This Package</p> <p>- mutant_data.csv</p> <p>This dataset contains the coupling results for all mutants considered in our experiments. It contains the following attributes for each mutant:</p> <p>-- Project name from Defects4J<br> -- Fault number from Defects4J<br> -- Mutation ID<br> -- Mutation operator<br> -- Number of trigger tests for the fault (tests that detect the real fault)<br> -- Number of failing test cases for the mutant (-1 indicates a compilation error)<br> -- The number of failing trigger tests for the mutant<br> -- The number of trigger tests that fail for the same reason the tests failed for the real fault.<br> -- The number of failing non-trigger tests.<br> -- The categorization of coupling. In order: Compile Error, Not Detected, No Substitution, Partial Test Substitution + Additional Tests Fail, Partial Test Substitution, Partial Substitution + Additional Tests Fail, Partial Substitution, Test Substitution + Additional Tests Fail, Test Substitution, Strong Substitution + Additional Tests Fail, Strong Substitution. </p> <p>- mutant_logs/{Project}/{Project}{Fault Number}output.txt</p> <p>The raw output log that resulted from executing test cases for each mutant for each case example used from Defects4J. Used to generate the dataset discussed above. Scripting for generating the dataset is also included.</p>
FEM-DEM bridging coupling for the modeling of gouge
<p><strong>Full Changelog</strong>: <a href="https://github.com/ManonVL/fem-dem-bridging-coupling/commits/v1.0.0">https://github.com/ManonVL/fem-dem-bridging-coupling/commits/v1.0.0</a><br> <br> This repository contains the data used in the paper "FEM-DEM bridging coupling for the modeling of gouge" (<a href="https://doi.org/10.1002/nme.7171">https://doi.org/10.1002/nme.7171</a>).</p>
A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations
<p>This repository provides the model output and code for analysis in the following article:</p> <p>Wang, B., & Fennel, K. (2023). An assessment of vertical carbon flux parameterizations using backscatter data from BGC Argo. <em>Geophysical Research Letters</em>, 50, e2022GL101220. <a href="https://doi.org/10.1029/2022GL101220">https://doi.org/10.1029/2022GL101220</a></p> <p> </p>
Vocal communication is tied to interpersonal arousal coupling in caregiver-infant dyads
<p>It has been argued that a necessary condition for the emergence of speech in humans is the ability to vocalize irrespectively of underlying affective states, but when and how this happens during development remains unclear. To examine this, we used wearable microphones and autonomic sensors to collect multimodal naturalistic datasets from 12-month-olds and their caregivers. We observed that, across the day, clusters of vocalisations occur during elevated infant and caregiver arousal. This relationship is stronger in infants than caregivers: caregivers' vocalizations show greater decoupling with their own states of arousal, and their vocal production is more influenced by the infant's arousal than their own. Different types of vocalisation elicit different patterns of change across the dyad. Cries occur following reduced infant arousal stability and lead to increased child-caregiver arousal coupling, and decreased infant arousal. Speech-like vocalisations also occur at elevated arousal, but lead to longer-lasting increases in arousal, and elicit more parental verbal responses. Our results suggest that: 12-month-old infants' vocalisations are strongly contingent on their arousal state (for both cries and speech-like vocalisations), whereas adults' vocalisations are more flexibly tied to their own arousal; that cries and speech-like vocalisations alter the intra-dyadic dynamics of arousal in different ways, which may be an important factor driving speech development; and that this selection mechanism which drives vocal development is anchored in our stress physiology.</p>
Modeling the Orthosteric Binding Site of the G Protein-Coupled Odorant Receptor OR5K1- MD simulations
<p>Topology, parameter and coordinates files of the Molecular dynamics (MD) simulations of OR5K1 3D models from AlphaFold 2 (AF2) and Homology Modeling (HM). We used ACEMD3 (v3.5.1) as a molecular engine, CHARMM36 as force field. Three replicas of 100 ns (dcd files) for both systems are reported. Water molecules, ions, and membrane atoms (POPC: phosphatidylcholine) atoms were removed from the original trajectories before the upload.</p>
Raw data for evaluation of Floral Volatile-Patterns in the Genus Narcissus using Gas Chromatography coupled Ion Mobility Spectrometry
<p>We used a commercial gaschromatography coupled ion mobility spectrometer, equipped with an integrated in-line enrichment system for fast, sensitive and automated analysis of floral volatile patterns in the genus <em>Narcissus</em>. The raw data of individual measurements are stored together with corresponding telemetry data as data matrices. The determined retention times and ion mobilities (series and columns) can be used for the identification of substances. The measured values (intensities) are used for a (semi)-quantoitative determination of individual substances.Based on these raw data, heatmaps can be generated in this way, which allow a comparison and potentially identification of floral volatiles. </p> <p>This data set is part of a proof of concept study for the use of GC-IMS in the investigation of flower volatiles.</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.