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371 results for “Electrode”
Data from P300-based Neurofeedback Training for Attention Enhancement with 4 EEG Electrodes
<p>The dataset contains EEG and behavioral data of 10 participants who completed 11 runs (i.e. copy-spelled 11 words) in a P300 speller task, as well as a random dot motion (RDM) task and questionnaires in a single experimental session. The data comes from a study that uses a modified version of the protocol described here:</p> <p>Noble SC, Woods E, Ward T, Ringwood JV. “Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial.” <em>JMIR Res Protoc</em> 2023, 12:e46135, doi: <a href="https://doi.org/10.2196/46135">10.2196/46135</a></p> <p>These are the differences to the protocol above:</p> <ul> <li>More but shorter words in the P300 speller (see below)</li> <li>Only 4 electrodes were used (Pz, POz, P7 and P8)</li> <li>Task difficulty adaptation is by iterative learning control (ILC) only</li> </ul> <p>Each participant folder contains:</p> <ul> <li>[xxx]-raw.[xxx] – unprocessed EEG signals from 4 electrodes for all 11 P300 speller runs in Openvibe (.ov) and Matlab (.mat) file formats, see details of the runs below</li> <li>classifier.cfg - LDA classifier weights</li> <li>log.txt - contains start and end time of the experiment, and performance in the P300 speller and RDM tasks</li> </ul> <p>The file “Questionnaire scores.csv” contains the responses to the questionnaire described in the experimental protocol and the NASA Task Load Index (TLX) for all participants.</p> <p>The .ov and .mat files contain data from the following runs:</p> <table> <tbody> <tr> <th>Filename</th> <th>Word to be copy-spelled</th> <th>Number of flashes per row and column</th> <th>Feedback given to participant</th> </tr> <tr> <td>calibration-signal1</td> <td>THE</td> <td>12</td> <td>no</td> </tr> <tr> <td>calibration-signal2</td> <td>QUICK</td> <td>12</td> <td>no</td> </tr> <tr> <td>calibration-signals</td> <td>Concatenation of calibration-signal1 and calibration-signal2</td> <td> </td> <td> </td> </tr> <tr> <td>eval</td> <td>DOG</td> <td>12</td> <td>yes</td> </tr> <tr> <td>training-run-1</td> <td>WIZARD</td> <td>10</td> <td>yes</td> </tr> <tr> <td>training-run-2</td> <td>HUMBLE</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-3</td> <td>JOKERS</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-4</td> <td>UNLOCK</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-5</td> <td>THRIVE</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-6</td> <td>JUNGLE</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-7</td> <td>SHADOW</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-8</td> <td>FROZEN</td> <td>varying</td> <td>yes</td> </tr> </tbody> </table> <p> </p> <p>This research is supported by the Irish Research Council under project ID GOIPG/2020/692 and Science Foundation Ireland under grant number 12/RC/2289_P2.</p>
Dataset for Unraveling the Versatility of Carbon Black – Polylactic Acid(CB/PLA) 3D-Printed Electrodes via SustainableElectrochemical Activation
<p>The dataset contains all relevant data and figures regarding the manuscript "Unraveling the versatility of CB/PLA 3d printed electrodes through electrochemical activation".</p> <p>All Figures are in tiff format and all relevant data are in csv formats. </p> <p>The data in csv format are labelled as specified in the corresping images (e.g. Figure 1A csv file corresponds to data used to plot graphs from Figure 1A etc.). </p> <p>Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.</p>
Data used in the paper "High Performance H2−Mn Regenerative Fuel Cells through an Improved Positive Electrode Morphology "
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Authors:Javier Rubio-Garcia, Anthony Kucernak, Barun Kumar Chakrabarti , Dong Zhao , Danlei Li2, Yuchen Tang , Mengzheng Ouyang , Chee Tong John Low and Nigel Brandon </p> <p>Title:High Performance H2−Mn Regenerative Fuel Cells through an Improved Positive Electrode Morphology </p> <p>Journal:Batteries</p> <p>DOI:</p> <p>Please cite the above reference if you wish to use this data</p> <p>DOI of data:10.5281/zenodo.7599405</p>
Understanding surface chemical processes in perovskite oxide electrodes
<p>X-ray photoelectron spectroscopy data and Low Energy ion scattering data for the LSCrF8255 materials published in J. Mater Chem A. DOI10.1039/D3TA00070B</p>
Online Repository for "Sorting lithium-ion battery electrode materials using dielectrophoresis"
<p>Please see the readme file.</p> <p>The matlab script for evaluating the measurements is called “Eval_Fluoro.m” and can be found in this repository.</p> <p>The excel sheet “20221028_photometric_iron.xlsx” contaiins the data from the chemical analysis.</p> <p>The manufacturing data for the electrodes is provided in the zip folder: PCB_boards_Giesler.zip and can be uploaded to a manufacturer of choice.</p>
Data associated to the article "On the key role of electrolyte-electrode van der Waals interactions in the simulation of ionic liquids-based supercapacitors"
<p>Contains input files and data used to generate the figures of the article:</p> <p>On the key role of electrolyte-electrode van der Waals interactions in the simulation of ionic liquids-based supercapacitors</p> <p>Camille Bacon, Alessandra Serva, Céline Merlet, Patrice Simon, and Mathieu Salanne,<br> *Electrochimica Acta*, 2023</p> <p>See here for a preprint: https://chemrxiv.org/engage/chemrxiv/article-details/63a0354aa53ea6785d504e28</p> <p>The folder *input_files* contains input files for each system for MetalWalls, which is available at https://gitlab.com/ampere2/metalwalls</p> <p>The folder *raw_data* contain files with the data used to plot the Figures of the paper</p>
Data for: A Modular Double Electrode Flow Cell with Exchangeable Generator and Detector Electrodes
<p>Raw data and processed data shown in figures of the publication titled:</p> <p>"A Modular Double Electrode Flow Cell with Exchangeable Generator and Detector Electrodes"</p> <p>DOI: <a href="https://doi.org/10.1002/celc.202300126">10.1002/celc.202300126</a></p> <p>by</p> <p>Frederik J. Stender<sup>[a]</sup>, Keisuke Obata<sup>[b]</sup>, Max Baumung<sup>[a,c]</sup>, Fatwa F. Abdi<sup>[b]</sup>, Marcel Risch<sup>[a,c]</sup></p> <p>[a] Frederik Johannes Stender, Max Baumung, Dr. Marcel Risch<br> Institut für Material Physik<br> Georg-August-Universität Göttingen<br> Friedrich-Hund-Platz 1, 37085 Göttingen<br> E-mail: mrisch@material.physik.uni-goettingen.de</p> <p>[b] Dr. Keisuke Obata, Dr. Fatwa Firdaus Abdi<br> Institut für Solare Brennstoffe<br> Helmholtz-Zentrum Berlin für Materialien und Energie GmbH<br> Hahn-Meitner-Platz 1, 14109 Berlin</p> <p>[c] Dr. Marcel Risch<br> Nachwuchsgruppe Gestaltung des Sauerstoffentwicklungsmechanismus<br> Helmholtz-Zentrum Berlin für Materialien und Energie GmbH<br> Hahn-Meitner-Platz 1, 14109 Berlin<br> E-mail: marcel.risch@helmholtz-berlin.de</p>
Non-contact measurement of a free flying bumblebee's (Bombus terrestris) electrical potential as it approaches and leaves a fixed electrode
<p>With increasing evidence of electroreception in terrestrial arthropods, understanding receptor level processes is vital to appreciating the capabilities and limits of this sense. Here, we examine the spatio-temporal sensitivity of mechanoreceptive filiform hairs in detecting electrical fields. We first present empirical data, highlighting the time-varying characteristics of biological electrical signals. We then explore how electrically sensitive hairs may respond to such stimuli.</p> <p>The main findings are: 1) oscillatory signals (elicited by wingbeats) influence the spatial sensitivity of hairs, unveiling an inextricable spatio-temporal link; 2) wingbeat direction modulates spatial sensitivity; 3) electrical wingbeats can be approximated by sinusoidally modulated DC signals; and 4) for a moving point charge, maximum sensitivity occurs at a faster timescale than a hair's frequency-based tuning. </p> <p>Our results show that electro-mechanical sensory hairs may capture different spatio-temporal information, depending on an object's movement and wingbeat and in comparison, to aero-acoustic stimuli. Crucially, we suggest that electrostatic and aero-acoustic signals may provide distinguishable channels of information for arthropods.</p> <p>Given the pervasiveness of electric fields in nature, our results suggest further study to understand electrostatics in the ecology of arthropods and to reveal unknown ecological relationships and novel interactions between species.</p>
Datasets for "Scalable, flexible carbon fiber electrode thread arrays for three-dimensional spatial profiling of neurochemical activity in deep brain structures of rodents"
<p>Datasets used in the manuscript titled, "<strong>Scalable, flexible carbon fiber electrode thread arrays for three-dimensional spatial profiling of neurochemical activity in deep brain structures of rodents</strong>" are uploaded here. </p> <p><strong>Brightfield and fluorescent stained images of brain tissue used for Fig. 5(a):</strong></p> <p>Malt3-20190624_Region 009_DAPI.png</p> <p>Malt3-20190624_Region 009_qCy5.png</p> <p>Malt3-20190624_Region 009_qFITC.png</p> <p>Malt3-20190624_Region 009_qTexasRed.png</p> <p>Malt3_BF20190628_Region 001.png</p> <p><strong>Fluorescent image of brain with embedded CFETs:</strong></p> <p>MALT2_Rat_100um_MOR1_x500_TSA_AF488.jpg</p> <p>Rat_100um_MOR1_x500_TSA.czi</p> <p><strong>In vivo dopamine recording data for Fig. 3:</strong></p> <p>ratarrays822_163.mat</p> <p>ratarrays822_57.mat</p>
Effect of electrode materials on resistive switching behaviour of NbOx-based memristive devices - Dataset
<p>This is the dataset of "Effect of electrode materials on resistive switching behaviour of NbOx-based memristive devices"</p>
A Study Assessing Arrhythmia Mapping With the Multi-Electrode OPTRELL™ Mapping Catheter
ClinicalTrials.gov study NCT04983797. IPD Sharing: YES. Countries: 2. Publications: 14.
Multi-electrode Radiofrequency Balloon Catheter Use for the Isolation of the Pulmonary Veins.
ClinicalTrials.gov study NCT03437733. IPD Sharing: Not stated. Countries: 3. Publications: 1.
A Study Assessing Arrhythmia Mapping With a Globe-Shaped, High-Density, Multi-Electrode Mapping Catheter
ClinicalTrials.gov study NCT05373862. IPD Sharing: YES. Countries: 3. Publications: 15.
Use of Two Deep Brain Stimulation (DBS) Electrodes to Treat Post-Traumatic Tremor
ClinicalTrials.gov study NCT00954421. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Antero-posterior Versus Antero-lateral Electrode Position for Electrical Cardioversion of Typical Atrial Flutter
ClinicalTrials.gov study NCT00860314. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Isthmus Ablation With Gold Electrode for Treatment of Atrial Flutter (AURUM 8)
ClinicalTrials.gov study NCT00326001. IPD Sharing: Not stated. Countries: 3. Publications: 4.
Optimizing Current and Electrode Montage for Transcranial Direct Current Stimulation in Stroke Patients
ClinicalTrials.gov study NCT02763826. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
SPYRAL HTN-ON MED Study of Renal Denervation With the Symplicity Spyral™ Multi-electrode Renal Denervation System
ClinicalTrials.gov study NCT02439775. IPD Sharing: Not stated. Countries: 10. Publications: 9.
A Neuroprosthesis for Prolonged Standing After SCI Using Multi-Contact Peripheral Nerve Electrodes
ClinicalTrials.gov study NCT01923662. IPD Sharing: NO. Countries: 1. Publications: 7.
A Study of Multi-electrode Circular Irreversible Electroporation (IRE) Catheter and Multi-Channel IRE Generator in Paroxysmal Atrial Fibrillation (AF)
ClinicalTrials.gov study NCT05552963. IPD Sharing: YES. Countries: 1. Publications: 0.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.