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Dataset results
16 results for “3D electrode”
Dataset for "Methodology for fast testing of carbon-based nanostructured 3D electrodes in vanadium redox flow battery"
<p>Here, we describe a technique for integrating carbon-based rod-like nanomaterials into a vanadium redox flow battery and a methodology for fast nanomaterial performance testing. The technique is based on creating a fixed nanomaterial bed sandwiched between two graphite felt electrodes, forming a 3D flow-through electrode in the battery. Performing various positive and negative control experiments, we show the beneficial effect of a nanostructured bed on the primary battery characteristics obtained from short-term electrochemical experiments. We then characterize carbon nanotubes exhibiting promising electrochemical behavior in vanadium electrolytes, as observed in our previous study. The load curves obtained from charge-discharge steps at various current densities and electrolyte flow rates revealed considerable differences in the performance of the tested materials, with few-walled carbon nanotubes reaching unsurpassable characteristics. Although developed for vanadium redox flow batteries, the method enables testing tube-like and rod-like (nano-)materials as electrodes for other flow battery systems. </p>
Raw Data - Photo-Responsive Doped 3D-Printed Copper Electrodes for Water Splitting: Refractory One-Pot Doping Dramatically Enhances the Performance
<p>The dataset contains raw data that complements the article:</p> <p>Photo-Responsive Doped 3D-Printed Copper Electrodes for Water Splitting: Refractory One-Pot Doping Dramatically Enhances the Performance</p> <p>Christian Iffelsberger, Daniel Rojas, and Martin Pumera<strong>*</strong></p> <p>https://doi.org/10.1021/acs.jpcc.1c10686</p> <p>Related to the MSCA Project: 888797 LoCatSpot</p>
MXene and MoS3−x Coated 3D-Printed Hybrid Electrode for Solid-State Asymmetric Supercapacitor
<p>All raw dataset of the published article "MXene and MoS3−x Coated 3D-Printed Hybrid Electrode for Solid-State Asymmetric Supercapacitor", DOI: 10.1002/smtd.202100451</p>
Guidelines for the rational design and engineering of 3D manufactured solid oxide fuel cell composite electrodes
<p>This file contains the data reported in the paper:</p> <p>A Bertei, F Tariq, V Yufit, E Ruiz-Trejo, N P Brandon, <em>Guidelines for the rational design and engineering of 3D manufactured solid oxide fuel cell composite electrodes</em>, <strong>Journal of the Electrochemical Society</strong> (2016)</p> <p>All the data here reported can be reproduced by solving the equations reported in the manuscript with the corresponding parameters.</p>
Free-standing electrochemically coated MoSx based 3D-printed nanocarbon electrode for solid-state supercapacitor application
<p>Raw data of journal article "Free-standing electrochemically coated MoSx based 3D-printed nanocarbon electrode for solid-state supercapacitor application" DOI: 10.1039/d0nr06479c</p>
Solvent‑activated 3D‑printed electrodes and their electroanalytical potential
<p>Dataset including: electrochemical data, SEM data, surface tension, .stl for the labware design. </p>
Dataset for publication "Composite MAX phase/MXene/Ni electrodes with a porous 3D structure for hydrogen evolution and energy storage application
<p>Dataset for publication "Composite MAX phase/MXene/Ni electrodes with a porous 3D structure for hydrogen evolution and energy storage application". The dataset contains relevant data and figures from the publication. Description on how to work with the dataset is given in the readme file. DOI for the original paper: DOI <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D3RA07335A">https://doi.org/10.1039/D3RA07335A</a>.</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>
Long-term performance of PEM water electrolysis cells with 3D printed electrodes and low catalyst loading
<p>Original data for the article with the same title</p>
3D brain model with DBS targets and electrodes
<p>No description provided.</p>
Safety and Performance of Ultra/Ultra 3D Cl With HiFocus SlimJ Electrode in Adults With Severe-to-profound Hearing Loss
ClinicalTrials.gov study NCT04929470. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Safety and Performance of HiResTM Ultra/Ultra 3D Cl Mid-Scala Electrodes in Adults With Severe-to-profound Hearing Loss
ClinicalTrials.gov study NCT04610112. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data for EEG Electrode Localization with 3D iPhone Scanning Using Point-Cloud Electrode Selection (PC-ES)
<p>The dataset contains 1) the deidentified, cropped Heges scans collected on 8 subjects (4-7 sub-scans per subject), 2) the merged scans via the PC-ES software from 3 reviewers, and 3) the photogrammetry data (validation data) which also constructed from 3 reviewers. The data is in MATLAB data files (mat-files), which is consistent with the PC-ES software (https://github.com/haley-richards/PC-ES). There are also 2 m-files (MATLAB scripts) that can be used to plot the individual or merged scans. </p><ul><li>cropped_deidentified_scans_pg.mat<ul><li>cropdeidscans a 1 x 8 structure array (8 subjects)</li><li>Each cell contains a structure array of all the sub-scans for the given subject with the following fields:<ul><li>colobj – Matlab point cloud object. This is the Heges output cropped and deidentitied.</li><li>tri – triangulation related to the nodes (Location) of the colobj object</li></ul></li></ul></li><li>merged_scans – output from the PCES software that merged the subscans from Heges<ul><li>outputres a 3 x 8 structure array (3 reviewers/readers of scans and 8 subjects)</li><li>Each cell contains a structure array scans with the following fields:<ul><li>colobj – the merged scans, albeit separated by angular sectors</li><li>tdat_mrg – merged electrodes</li><li>tdat_full – full-set of electrodes</li><li>tri_mrg - triangulation related to the nodes (Location) of the colobj object</li></ul></li></ul></li><li>photogram_dat – photogrammetry-base electrodes 3 x 8 structure array (3 reviewers/readers of scans and 8 subjects)</li></ul>
Data_Indirect 3D Printed Electrode Mixers
<p>The folder contains the processed data of figures 4, 5, 6, S2 and S3 that appear in:</p> <p>J. Hereijgers, J. Schalck, J. Lölsberg, M. Wessling, T. Breugelmans, Indirect 3D Printed Electrode Mixers, ChemElectroChem. 6 (2019) 378–382. <a href="https://doi.org/10.1002/celc.201801436">https://doi.org/10.1002/celc.201801436</a>.</p>
Data_Mass transfer and hydrodynamic characterization of structured 3D electrodes for electrochemistry
<p>The folder contains the processed data of figures 3, 4A, 4B, 4C, 4D, 4E, 4F, 5, 6A, 6B, 6C, 6D, 7 that appear in:</p> <p>J. Hereijgers, J. Schalck, T. Breugelmans, Mass transfer and hydrodynamic characterization of structured 3D electrodes for electrochemistyr, Chem Eng. J. (2020) 123283.</p>
Data_ Effects of Structured 3D Electrodes on the Performance of Redox Flow Batteries
<p>The folder contains the processed data of figures 3, 5, 7, 8, 9, S4, S5, S6, S7, S8, S9, S10, S11 and S12 that appear in:</p> <p>R. De Wolf, M. De Rop, and J. Hereijgers, “Effects of Structured 3D Electrodes on the Performance of Redox Flow Batteries,” <em>ChemElectroChem</em>, vol. 202200640, 2022, doi: 10.1002/celc.202200640.</p>
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)
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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.