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371 results for “Electrode”
Ultrafast photoresponse of vertically oriented TMD films probed in a vertical electrode configuration on Si chips
<p>This dataset contains the measurement data for figures published in the journal article: </p> <p> Ultrafast photoresponse of vertically oriented TMD films probed in a vertical electrode configuration on Si chips (https://doi.org/10.1039/D2NA00313A)</p> <p>by Topias Järvinen, Seyed-Hossein Hosseini Shokouh, Sami Sainio, Olli Pitkänen and Krisztian Kordas</p>
Collection: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes Confined Between Electrodes
<p>Metadata record collecting related data sets that contain molecular dynamics simulations of PEO-LiTFSI polymer electrolytes confined between model electrodes.</p> <p>Related data sets:</p> <ul> <li>Uncharged electrodes: <ul> <li><a href="https://doi.org/10.5281/zenodo.13164944">https://doi.org/10.5281/zenodo.13164944</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13165450">https://doi.org/10.5281/zenodo.13165450</a>:<br>Molecular Dynamics Simulations of Monoglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13165725">https://doi.org/10.5281/zenodo.13165725</a>:<br>Molecular Dynamics Simulations of Tetraglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13166024">https://doi.org/10.5281/zenodo.13166024</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> </ul> </li> <li>Charged electrodes: <ul> <li><a href="https://doi.org/10.5281/zenodo.13166152">https://doi.org/10.5281/zenodo.13166152</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167128">https://doi.org/10.5281/zenodo.13167128</a>:<br>Molecular Dynamics Simulations of Monoglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167338">https://doi.org/10.5281/zenodo.13167338</a>:<br>Molecular Dynamics Simulations of Tetraglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167551">https://doi.org/10.5281/zenodo.13167551</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167614">https://doi.org/10.5281/zenodo.13167614</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes With Various Surface Charges</li> </ul> </li> <li>Plots: <ul> <li><a href="https://doi.org/10.5281/zenodo.13168242">https://doi.org/10.5281/zenodo.13168242</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths and Salt Concentrations Confined Between Charged Electrodes With Various Surface Charges: Plots</li> </ul> </li> </ul>
Collection: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes in the Bulk and Confined Between Electrodes
<p>Metadata record collecting related data sets that contain molecular dynamics simulations of PEO-LiTFSI polymer electrolytes in the bulk and confined between model electrodes.</p> <p>Related data sets:</p> <ul> <li>In the Bulk: <ul> <li><a href="https://doi.org/10.5281/zenodo.13144737">https://doi.org/10.5281/zenodo.13144737</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths and Salt Concentrations in the Bulk</li> </ul> </li> <li>Confined Between Electrodes: <ul> <li><a href="https://doi.org/10.5281/zenodo.13169120">https://doi.org/10.5281/zenodo.13169120</a>:<br>Collection: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes Confined Between Electrodes</li> </ul> </li> </ul>
Data from: "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes"
<p>Dataset from the publication "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes". Full experimental details can be found in the related publication in ACS Applied Energy Materials: <a href="https://doi.org/10.1021/acsaem.2c02047">https://doi.org/10.1021/acsaem.2c02047</a></p> <p>Commercial 21700 cylindrical cells (LG M50T, LG GBM50T2170) were cycle aged under 3 different temperatures [10, 25, 40] °C and 2 SoC ranges [0-30, 0-100]%, with multiple cells tested under each condition. Cells were base-cooled at set temperatures using bespoke test rigs (see pubilcation for details). All electrochemical data were recorded using a Biologic BCS-815 battery cycler.</p> <p> </p> <p><strong>Break-in cycles:</strong></p> <p>Prior to any ageing or performance checks, all cells were subject to 5 full charge-discharge cycles as part of the break-in procedure. This consisted of a 0.2C charge to 4.2 V with CV-hold till C/100, and 0.2C discharge to 2.5 V (repeated for 5 cycles). Cells were rested under open circuit conditions for 2 hours after each charge and 4 hours after each discharge. These break-in cycles were performed at 25°C for all cells.</p> <p> </p> <p><strong>Ageing Conditions:</strong></p> <table align="center"> <caption>Ageing Conditions</caption> <thead> <tr> <th scope="col">Expt</th> <th scope="col">SoC Range</th> <th scope="col">C-rate</th> <th scope="col">Temperature</th> <th scope="col"># of cells</th> <th scope="col">Cell IDs</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>10°C</td> <td>3</td> <td>A, B, J</td> </tr> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>25°C</td> <td>3</td> <td>D, E, F</td> </tr> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>40°C</td> <td>3</td> <td>K, L, M</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>10°C</td> <td>3</td> <td>A, B, C</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>25°C</td> <td>2</td> <td>D, E</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>40°C</td> <td>3</td> <td>F, G, H</td> </tr> </tbody> </table> <p>For cells aged in the 0-30% SoC range, each ageing set consisted of 256 cycles over the 0-30% SoC range (discharge to 2.5 V, charge by passing 1500 mA h (== 0.3*nominal capacity)). C-rates were 0.3C for charge, and 1C for discharge.</p> <p>For cells aged in the 0-100% SoC range, each ageing set consisted of 78 cycles over the full SoC range (discharge to 2.5 V, charge to 4.2 V with CV hold till C/100). C-rates were 0.3C for charge, and 1C for discharge.</p> <p> </p> <p><strong>Reference Performance Tests (RPTs):</strong></p> <p>All cells were characterised at beginning of life (BoL) and after each ageing set using a reference performance test (RPT). The RPT was always performed at 25°C. Two different RPT procedures were used: a longer procedure which was performed after each even-numbered ageing set, and a shorter procedure which was used after each odd-numbered ageing set. Both procedures are detailed below. A CC-CV charge at 0.3C to 4.2 V, 4.2 V till C/100 was performed between each step of the procedures.</p> <p>Long RPT procedure:</p> <ol> <li>C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>C/2 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>GITT discharge at 0.5C; 25 pulses with each pulse passing 200 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses).</li> <li>GITT discharge at 0.5C; 5 pulses with each pulse passing 1000 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses).</li> </ol> <p>Short RPT procedure:</p> <ol> <li>C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>Hybrid CC-pulse test with average current of C/2. A baseline DC current of C/2 was applied with an HPPC-type profile superimposed on top. This was done for discharge and charge (with voltage limits of 2.5 V and 4.2 V).</li> <li>Hybrid CC-pulse test with average current of 1C. A baseline DC current of 1C was applied with an HPPC-type profile superimposed on top. This was done for discharge only (with a voltage limit of 2.5 V).</li> </ol> <p> </p> <p><strong>Extracted Data - Main </strong></p> <p>One csv file exists for each cell being tested, summarising the important data extracted from the ageing cycles and the RPTs. This includes:</p> <p>Ageing Set: numbered 0 (BoL) to x, where x is the number of ageing sets the cell has been subject to.</p> <p>Ageing Cycles: number of ageing cycles the cell has been subject to. *this is <strong>not </strong>equivalent full cycles.</p> <p>Ageing Set Start Date/ End date: The date that each ageing set began/ ended.</p> <p>Days of Degradation: Number of days between the date of the first ageing set beginning and the current ageing set ending.</p> <p>Age Set Average Temperature: average recorded surface temperature of the cell during cycle ageing. Temperature was recorded approximately 1/2 way up the length of the cell (i.e. between positive and negative caps) using a K-type thermocouple. Units: °C.</p> <p>Charge Throughput: total accumulated charge recorded during all cycles during ageing (i.e. sum of charge and discharge). This is the cummulative total since BoL (not including RPTs). Units: Ah.</p> <p>Energy Throughput: as with "charge throughput", but for energy. Units: Wh.</p> <p>C/10 Capacity: the capacity recorded during the C/10 discharge test of each RPT. Units: mAh.</p> <p>C/2 Capacity: the capacity recorded during the C/2 discharge test of each even-numbered RPT. Units: mAh.</p> <p>0.1s Resistance: The resistance calculated from the 25-pulse GITT test of each even-numbered RPT. This value is taken from the 12th pulse of the procedure (which corresponds to ~52% SoC at BoL). The resistance is calculated by dividing the voltage drop by the current at a timecale of 0.1 seconds after the current pulse is applied (the fastest timescale possible under the 10 Hz recording condition). Units: Ohms.</p> <p> </p> <p><strong>Extracted Data - Degradation Modes:</strong></p> <p>Degradation Mode Analysis (DMA) was also performed on the C/10 discharge data at each RPT. This analysis uses an optimisation function to determine the capacities and offset of the positive and negative electrodes by calculating a full cell voltage vs capacity curve using 1/2 cell data and comparing against the experimentally measured voltage vs capacity data from the C/10 discharge.</p> <p>The results of this analysis are saved in the DMA folder, with 4 csv files for each cell, which contain data for all RPTs. The 4 files contain:</p> <p>Fitting parameters: output from the DMA optimisation function; 5 parameters which detail the upper/lower lithitation fractions of each electrode and the capacity fraction of graphite in the negative electrode.</p> <p>Capacity and offset data: calculated based on the fitting parameters above alongside the measured C/10 discharge capacity.</p> <p>DM data: Quantities of LLI, LAM-PE, LAM-NE, LAM-NE-Gr, and LAM-NE-Si calculated from the change in capacities/offset of each electrode since BoL.</p> <p>RMSE data: the root-mean-square error of the optimisation function calculated from the residual between the measured and calculated voltage vs capacity profiles.</p> <p> </p> <p><strong>Timeseries data from RPTs:</strong></p> <p>Timeseries datafiles from the Biologic battery cycler which have been exported to csv and sliced for each step of each RPT procedure to help with future use of the data. Files contain [time, voltage, current, charge, temperature] data.</p> <p> </p> <p><strong>Jupyter Notebook:</strong></p> <p>A jupyter notebook has been included to aid futher use of this data. The notebook shows how to load the data into pandas DataFrame objects and provides a couple of example plots to view the datasets.</p> <p> </p> <p><strong>Notes:</strong></p> <p>A faulty electrical connection to cell A of Expt 5 (i.e. one of the cells being aged at 0-100% SoC at 10°C) during RPT4 led to erroneous results for that performance check (as evidenced in the 0.1s resistance value). The faulty electrical connection was fixed prior to subsequent cycling but the RPT was not repeated. We have kept the data collected during this RPT as part of the dataset, so caution should be used when using this specific portion.</p>
Dataset: Facile functionalization of carbon electrodes for efficient electroenzymatic hydrogen production
<p>This dataset contains all of the data used to create the plots in both (i) the main article and (ii) the supporting information.</p> <p>The corresponding journal article can be found here:</p> <p><a href="https://doi.org/10.1021/jacsau.2c00551">https://doi.org/10.1021/jacsau.2c00551</a> </p>
10-Hz cross-spectral matrices from intracranial electrode recordings before and after loss of consciousness during propofol-induced general anesthesia
<p>Companion resources associated with the publication, "Propofol disrupts alpha dynamics in functionally distinct thalamocortical networks during loss of consciousness" (in press) (DOI: 10.1073/pnas.2207831120)</p> <p>https://www.biorxiv.org/content/10.1101/2022.04.05.487190v1.full.pdf</p> <p>Contents:</p> <p>1. 10-Hz cross-spectral matrices computed from pre- and post-loss of consciousness epochs (see manuscript for details)</p> <p>2. Channel labels of matrix rows and columns</p> <p>3. Channel coordinates and Freesurfer structural labels in MNI space.</p> <p>4. Structural segmentations of thalamic nuclei in MNI152 space. (Thanks to Fischl Lab, Martinos Center.)</p> <p>Patient demographics are listed in Supporting Information for the PNAS publication.</p> <p>For diffusion images used in the publication, please refer to the WU-Minn Human Connectome Project, using matches listed in the manuscript's Supporting Information.</p>
Impedance analysis of dry electrodes
<p>RAW data acquired with an impedance analyser to assess the complex impedance values of three different materials used in the development of dry electrodes for biosignal acquisition</p>
DataSet for "Hybrid Based on Phenazine Conjugated Microporous Polymer as a High-Performance Organic Electrode in Aqueous Electrolytes"
<p>All raw data were obtained directly by the instruments and were then elaborated by us using Origin and/or Excel. All the facilities used, except for the NMR measurements, are present in IMDEA Energy Institute <br> <br> </p>
Data repository for manuscript "Contacting individual graphene nanoribbons using carbon nanotube electrodes"
<p>This is the raw data for the manuscript "Contacting individual graphene nanoribbons using carbon nanotube electrodes”.</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 Interfacial Chemistry Effects in the Electrochemical Performance of Silicon Electrodes under Lithium-ion Battery Conditions
<p>This dataset provides the raw data to the manuscript</p> <p>"<strong>Interfacial Chemistry Effects in the Electrochemical Performance of Silicon Electrodes under Lithium-ion Battery Conditions"</strong> published in Small (<a href="https://doi.org/10.1002/smll.202303442">https://doi.org/10.1002/smll.202303442</a>)</p> <p>Specifically, the following measurements are provided:</p> <ul> <li>Scanning electrochemical cell microscopy (SECCM) data</li> <li>Scanning electron microscopy (SEM) images</li> <li>Secondary ion mass spectrometry (SIMS) data</li> <li>Transmission electron microscopy (TEM) images</li> <li>X-ray photoelectron spectroscopy (XPS) data</li> </ul>
NewSOC, supplementary information to WT2.3 "Development of doped lanthanum chromite based fuel electrodes", WT2.5 "Electrochemical characterization of single cells"
<p>These are experimental data related to CERTH participation in NewSOC project (874577) regarding WT2.3 “Development of doped lanthanum chromite based fuel electrodes”, WT2.5 “Electrochemical characterization of single cells”. The data set includes:</p> <ul> <li>physicochemical characterization (ICP, BET, XRD and SEM) of the powders and electrodes or cells produced (SEM)</li> <li>electrochemical characterization (iV characteristics, impedance, stability tests)</li> </ul> <p> </p> <p><strong>LSCrF0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV, EIS and stability testing for button cells using different electrolyte substrates (formulation and thickness) and oxygen electrode materials operating under steam electrolysis, co-electrolysis of steam and carbon dioxide and reversible operation in steam or carbon dioxide cycle.</p> <p><strong>LSCrF0.5.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Ni<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.5.rar:</strong> The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Ni<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, and (B) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrMn0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Mn<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.05Ti0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>Ti<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.05V0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>V<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.25Ti0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>Ti<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.25V0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>V<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>Ni-GDC.rar</strong>: The zip folder contains data related to button cell stability testing using a commercial Ni-GDC fuel electrode material operating under steam electrolysis. </p> <p><strong>LARGE CELLS.rar</strong>: Data set for large cells (5x5 cm2) including iV, EIS and short-term stability testing employing Keracell III cell, Ni-GDC and LSCrF0.1 fuel electrodes operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p> </p> <p> </p> <p> </p>
In vivo and in vitro electrochemical impedance spectroscopy analysis of acute and chronic intracranial electrodes
Open the record for dataset details and reuse information.
Raw data obtained from multi-electrode electrophysiological recordings of hippocampal slices
Open the record for dataset details and reuse information.
Multi-Electrode Array with a Planar Surface for Cell Patterning by Microprinting_experimental dataset
<p>This file contains the raw unprocessed experimental data for the results published in Slavík et al., Multi-Electrode Array with a Planar Surface for Cell Patterning by Microprinting, Sensors 2019, 19(24), 5379. </p>
Porous RuOxNySz Electrodes for Microsupercapacitors and Microbatteries with Enhanced Areal Performance
<p>Figures 1, 2, 3, 4 & 5</p>
Data associated to the article "A semiclassical Thomas–Fermi model to tune the metallicity of electrodes in molecular simulations"
<p>Contains input files and data used to generate the figures of the article:</p> <p>A semiclassical Thomas–Fermi model to tune the metallicity of electrodes in molecular simulations</p> <p>Laura Scalfi, Thomas Dufils, Kyle G. Reeves, Benjamin Rotenberg and Mathieu Salanne, J. Chem. Phys. 153, 174704 (2020)</p> <p>https://doi.org/10.1063/5.0028232</p> <p>The folder typical_input_files contains typical MetalWalls input files used to perform the simulations.</p> <p>The folder DATA_FIGURES contains the processed data used to plot all the figures of the paper.</p>
Facile preparation of high conductive silver electrodes by dip-coating followed by quick sintering
<p>With polyol-synthesized silver nanoparticles (AgNPs) as raw materials, the silver electrodes with high conductivity were fabricated via dip-coating method followed by sintering process, and the effects of dip-coating and sintering process on the conductivity and surface roughness of silver electrodes were investigated in detail. The silver film with a thickness of 1.97 μm and a roughness of about 2 nm can be prepared after dip-coated at a pulling rate of 500 μm·s<sup>-1</sup> for 40 coating times. The non-conductive dip-coated silver films are transformed into conductive silver electrodes after conventional sintering in muffle oven, infrared sintering and microwave sintering, respectively. Compared with high sintering temperature and long sintering time of conventional sintering and infrared sintering, microwave sintering can achieve the quick sintering of silver films to fabricate high conductive silver electrodes. The silver electrodes with a sheet resistance of 0.75 Ω·sq<sup>-1</sup> and a surface roughness of less than 1 nm can be obtained after microwave-sintered at 500 W for 50 s. The adjustable dip-coating method followed by quick microware sintering is an appropriate approach to prepare high conductive AgNPs based electrodes for organic light-emitting diode (OLED) or other devices.</p>
Activated Carbon Cloth Electrodes for Capacitive Deionization: A Neutron Imaging Study
<p>Neutron images of capacitive deionization by activated carbon cloths.</p><p>Corresponding readouts from potentiostat.</p><p>Nitrogen gas adsorption data of the activated carbon cloths.</p>
Data for "Predicting the charge density response in metal electrodes"
<p>Dataset associated with the manuscript "Predicting the charge density response in metal electrodes", as published in https://journals.aps.org/prmaterials/abstract/10.1103/PhysRevMaterials.7.125403.</p>
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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.