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170 results for “nickel”
Dataset of "Cobalt and nickel doped WSe2 as efficient electrocatalysts for water splitting and as cathodes in hydrogen evolution reaction PEM water electrolysis"
<p>Efficient electrocatalysts are crucial for water splitting and fuel cells. Using cheap alternatives that can improve reaction kinetics is essntial for advancing fuel cell technology. Although, tungsten diselinide (WSe2) is promising for electrocatalysis is not fully explored, especially in oxygen evolution and in applications such as polymer electrolyte membrane water electrolyzer.<br>In this work, we used a simple approach to dope WSe2 with cobalt and/or nickel atoms. The doped material was subsequently tested for hydrogen evolution reaction and oxygen evolution reaction. Accordingly, the two electrocatalysts are highly active and stable, affording low overpotentials comparable to those of noble metals. The effective introduction of heteroatoms causes the retention of coordination vacancies, furnishing active catalytic sites that enhanced electrocatalytic performance both in activity and charge transfer. Moreover, both doped materials show excellent performance and stability as cathode electrocatalysts in the polymer electrolyte membrane water electrolyzer with great promise for real-world applications.</p>
Datasets of "Carbide coating on nickel to enhance the stability of supported metal nanoclusters" Nanoscale, 2022, 14, 3589-3598
<p>These are the datasets related to the publication "Carbide coating on nickel to enhance the stability of supported metal nanoclusters", Nanoscale, 2022, 14, 3589-3598 (<a href="https://doi.org/10.1039/D1NR06485A">https://doi.org/10.1039/D1NR06485A</a>). They are saved as NeXus/HDF5 files according to the nxstm NeXus application definition (<a href="https://doi.org/10.5281/zenodo.5792930">https://doi.org/10.5281/zenodo.5792930</a>).</p>
Dataset of "Nickel-cobalt spinel-based oxygen evolution electrode for zinc-air flow battery"
<p>Following dataset provides all measured data that were collected on nickel (Ni) based electrodes for the oxygen evolution reaction. The electrodes were following: nickel (Ni) pristine mesh (PM), catalysed mesh (CM), nickel pristine foam (PF), catalysed foam (CF). Catalyst was NiCo2O4. Firstly, the catalysed electrodes were prepared and characterized by SEM, EDS and XRD. The electrodes were characterized in three different arrangements: in electrolysis non-flow arrangement, in a flow electrolysis cell and in ZAFB according to the manuscript.</p>
Growth of hexagonal boron nitride from molten nickel solutions: a reactive molecular dynamics study
<p>Authors: Amin Ahmadisharaf and Jeffrey Comer</p> <p><br>Publication: Amin Ahmadisharaf, Bin Liu, James H. Edgar, and Jeffrey Comer (2025) Growth of Hexagonal Boron Nitride from Molten Nickel Solutions: A Reactive Molecular Dynamics Study. ACS Applied Materials & Interfaces. <a href="https://doi.org/10.1021/acsami.4c16991">doi.org/10.1021/acsami.4c16991</a></p> <p>Funding: Department of Energy Office of Science, grant DE-SC0021264, <a>https://pamspublic.science.energy.gov/WebPAMSExternal/Interface/Common/ViewPublicAbstract.aspx?rv=5e6ffff5-0daa-47e8-a3d0-20f594b7bfb8&rtc=24&PRoleId=10</a></p> <p>**************************************</p> <p>This data set for the manuscript entitled "Growth of Hexagonal Boron Nitride from Molten Nickel Solutions: A Reactive Molecular Dynamics Study" includes all files needed to run and analyze the simulations described in the this manuscript in the molecular dynamics software LAMMPS, as well as the output of the simulations. The files are organized into directories corresponding to the figures of the main text. They include force field parameter files (in ReaxFF format), LAMMPS configuration files (*.in), ReaxFF control files (*.control), LAMMPS log files (*.log), and LAMMPS output including restart files (in binary LAMMPS format) and trajectories in dcd format (downsampled to 12.5 or 25 ps per frame) and also PDB and PSF files are useful for visualization with VMD. Analysis is performed by python and shell scripts (Bash-compatible) that call VMD Tcl scripts or python scripts. These scripts and their output are also included.</p> <p>The species analysis is performed by the VMD Tcl script "Figure3/analysis/count_hBN_species_NNB_BN.tcl" using the parameters given in "Figure3/analysis/doCount.sh".</p> <p>The directory contents are as follows.</p> <p>--------------------------------------------------------------<br>Figure-1: Parallel tempering simulations of the boron-nickel system and calculation of the boron concentration along the z-dimension of the nickel slab.</p> <p>The analysis of the boron concentration profile is performed by the VMD Tcl scripts calcRatioZRef.tcl and calcConcZRef.tcl using the parameters given in "Figure1/analysis/step3_conc_profile.sh". Also, the reorganization of the parallel tempering trajectories into frames at a single temperature is performed by the VMD Tcl script extractReplicaFrames.tcl based on "Figure1/analysis/step1_sort_frames.sh".</p> <p><br>--------------------------------------------------------------<br>Figure-2: Simulation of hBN sheet growth at 1750 K and calculation of largest cluster.</p> <p><br>--------------------------------------------------------------<br>Figure-3: Simulations of different boron-to-nickel ratios at varying nitrogen pressures at 1750 K and the calculation of the largest hBN cluster formed under different scenarios. The suffixes "liu", "long_liu", and "low_liu" correspond to pressures of 100.0, 50.0, and 25.0 atm respectively.</p> <p>The analysis of hBN clusters is performed by the VMD Tcl script "Figure3/analysis/" using the parameters given in "Figure3/analysis/doCount.sh". The related simulations files and outputs for panel A in this figure are located in Figure 5 directory.</p> <p><br>--------------------------------------------------------------<br>Figure-4: Recognition and counting the different boron-nitrogen motifs in the simulation was performed in Figure 2.</p> <p>The related simulations files and outputs for panel B and C in this figure are located in Figure 5 directory.</p> <p><br>--------------------------------------------------------------<br>Figure-5: Simulation of the temperature effect on hBN growth, and recognition and counting of the different boron-nitrogen motifs at 1750, 1800, 1900, 2000, 2200, and 2700 K.. </p> <p><br>--------------------------------------------------------------<br>Figure-6: Recognition of existing motifs for nitrogen atoms in the growth path of hBN and calculation of the probabilities of transitions between different motifs across all nitrogen atoms.</p> <p>The related simulations files and outputs for all panels in this figure are located in Figure 5 directory.</p> <p><br>--------------------------------------------------------------<br>Figure-7: Comparing the ReaxFF and ab initio simulations of small B-N motifs(B--N--B and B--N) in a nickel slab and calculation of bond lengths and angle values.</p> <p><br>--------------------------------------------------------------<br>Figure-8: Diffusion simulations of four different systems at 1800 K: nickel with a single B atom, nickel with a single N atom, nickel with a free B-N-B molecule, and nickel with a small hBN sheet and Mean Squared Displacement (MSD) values were calculated and compared to assess the surface mobility of the different particles.</p> <p> </p>
Dataset of Scanning Tunneling Microscopy (STM) images of graphene on nickel
<p>STM images presented in the dataset were recorded by the STRAS research group using a Omicron Variable Temperature STM (VT-STM) microscope, in the TASC laboratory of the CNR-IOM in Trieste.</p> <p> </p>
Energy recovery by an unbiased gas phase photofuel cell with a nickel foam supported WO3 photoanode decorated with plasmonic gold clusters
<p>Dataset for the article titled "Energy recovery by an unbiased gas phase photofuel cell with a nickel foam supported WO3 photoanode decorated with plasmonic gold clusters".</p> <p>This research was conducted at Antwerp Engineering, Photoelectrochemistry and Sensing (A-PECS) group, University of Antwerp, Belgium.</p>
Electronic Supporting Information for Catalytic Ammonia Oxidation to Dinitrogen by a Nickel Complex
<p>The dataset provides electronic supporting information in the format of XYZ molecular files, formatted Gaussian checkpoint files, and cube files for atomic spin density distributions for selected complexes obtained while investigating the catalytic mechanism of ammonia oxidation to dinitrogen using a N-heterocyclic carbene containing nickelocene complex.</p> <p>The level of theory used for all calculations is omega-B97xD with def2TZVP basis set. All calculations were performed using the Gaussian16 suite of programmes.</p> <p><strong>Model Set 1</strong> contains the metal free compounds and were used to calculate the overall thermodynamics of the ammonia oxidation reaction.</p> <p><strong>Model Set 2</strong> corresponds to the most truncated, in vacuo optimized structures.</p> <p><strong>Model Set 3</strong> comprises from non-truncated, realistic structures embedded in polarizable continuum model of benzene.</p> <p> </p>
John R. Nickels (n0769)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: John R. Nickels<br><u>musiXplora-ID</u>: n0769<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/n0769">https://musixplora.de/mxp/n0769</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1838<br><u>Last Mentioned</u>: 1844<br><u>Sectors</u>: Holzblasinstrumentenbau<br><u>Professions (Musical)</u>: Holzblasinstrumentenbauer, Klarinettenbauer<br><u>Other Places of Activity</u>: Buffalo/NY<br><br><br><u>Portfolio:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Klarinette</td><td><a href="https://musixplora.de/mxp/2001466">2001466</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>New Langwill Index 1993</td><td>The New Langwill Index. A Dictionary of Musical Wind-Instrument Makers and Inventors. NLI</td><td><a href="https://musixplora.de/mxp/5001112">5001112</a></td></tr></tbody></table><br><u>Ereignisse:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Hersteller</td><td></td><td>Herstellung</td><td><a href="https://musixplora.de/mxp/6003323">6003323</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Ekkehart Nickel (n0667)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Ekkehart Nickel<br><u>musiXplora-ID</u>: n0667<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/n0667">https://musixplora.de/mxp/n0667</a><br><u>Gender</u>: m<br><u>Confessions</u>: evangelisch-lutherisch<br><u>Date of Birth</u>: 1936<br><u>Place of Birth</u>: Undefined<br><u>First Mentioned</u>: 1963<br><u>Sectors</u>: Kirche<br><u>Professions (Historical)</u>: Kirchenmusikdirektor<br><u>Professions (Musical)</u>: Chorleiter, Herausgeber, Komponist, Musikforscher, Organist, Sänger<br><u>Other Places of Activity</u>: Erlangen, München, Schwabach, Schwaig, Wiesbaden<br><br><br><u>Herkunftsfamilie:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Eltern</td><td>Vater</td><td>Markus Nickel</td><td><a href="https://musixplora.de/mxp/n0666">n0666</a></td></tr></tbody></table><br><u>Medien:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>VerfasserInnen</td><td>Verfasser</td><td>Der Holzblasinstrumentenbau in der Freien Reichsstadt Nürnberg. Dissertation der Universität Erlangen-Nürnberg, Phil. Fakultät, vom 27. Juni 1969</td><td><a href="https://musixplora.de/mxp/5034231">5034231</a></td></tr></tbody></table><br><u>Tradition:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Interessensbereich</td><td>Nachlassempfänger</td><td>Georg Franz Carl</td><td><a href="https://musixplora.de/mxp/c0521">c0521</a></td></tr><tr><td>Interessensbereich</td><td>Nachlassempfänger</td><td>Hans Creutzer</td><td><a href="https://musixplora.de/mxp/c0533">c0533</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Electron backscatter patterns from Nickel acquired with varying camera gain
<p>Ten electron backscatter diffraction (EBSD) datasets from a recrystallized, polycrystalline sample of nickel. The datasets, each comprising 29 800 patterns, were collected from the same region of interest (ROI) with EBSD camera gains varying from 0 dB to 24 dB (camera maximum). A backscattered electron image of the ROI is also included.</p> <p>The data was acquired in order to study denoising of EBSD patterns, more specifically the increased signal-to-noise ratio obtained after principal component analysis followed by dimensionality reduction, as presented in H W Ånes, J Hjelen, B E Sørensen, A T J van Helvoort, K Marthinsen "Processing and indexing of electron backscatter patterns using open-source software," IOP Conf. Ser.:Mater. Sci. Eng. (2019), doi:<a href="https://doi.org/10.1088/1757-899X/891/1/012002">10.1088/1757-899X/891/1/012002</a>. This conference paper is part of the proceedings of EMAS 2019 - 16th European Workshop on Modern Developments and Applications in Microbeam Analysis held in Trondheim, Norway. However, the data is released with the hope that it can be used to compare the performance of denoising methods in general.</p> <p>The datasets, Pattern.dat, are stored in the NORDIF (binary) format, with the top-left pixel in the top-left pattern as the first byte, and the bottom-right pixel in the bottom-right pattern as the last byte. They can be opened in for example the open-source Python package kikuchipy (https://github.com/pyxem/kikuchipy). Assuming Python 3.7 or above and the package is installed, the patterns in scan 1 can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load('/path/to/nickel_scan_gain/scan1_gain0db/Pattern.dat') s.plot()</code></pre> <p> </p>
Dataset for the manuscript entitled "Can vermicomposting be used to process hyperaccumulator biomass in nickel agromining?"
<p>Data generated during an experiment of decomposition of biomass of the nickel hyperaccumulator <i>Bornmuellera emarginata </i>by the earthworm <i>Eisenia andrei</i> and associated microoganisms.</p><p>Five files are included:</p><p>"<strong>readme.txt</strong>" is a file where we explain the meaning of each column (and in which units is expressed) in each of the other four files.</p><p>"<strong>biomass.csv</strong>" is a table with biomass of different fractions and the number of <i>Eisenia andrei</i> individuals in each experimental unit.</p><p><strong>"FTIR.csv" </strong>is a file with the raw spectral data we obtained from the litter by Fourier Transform Infrared spectroscopy combined with Attenuated Total Reflectance (FTIR-ATR). First column indicate the wavenumber (cm-1) and the other columns indicate the absorbance values of each biomass sample for each wavenumber.</p><p><strong>"composition.csv"</strong> is a file with the pH, electrical conductivity, basal respiration and concentrations of different chemical elements measured in different fractions of each experimental unit</p><p><strong>"nickel.csv"</strong> contains the pseudototal and DTPA-extractable concentrations of Ni in different compartments of each experimental unit, as well as the total amount of this element (mg of Ni) in each compartment of each experimental unit.</p>
Thin Nickel Coatings on Stainless Steel for Enhanced Oxygen Evolution and Reduced Iron Leaching in Alkaline Water Electrolysis
<p>This is a dataset detailing the characterization of electrodeposited Ni-layers on 1 cm2 pure Ni- and stainless steel-plates. The data is available as text files (.txt), MS Excel files (.xls), Origin files (.opju), and Gamry raw data files (.DTA).</p>
Data from: Improving the Effectiveness of the Solid-Solution-Strengthening Elements Mo, Re, Ru and W in Single-Crystalline Nickel-Based Superalloys
<p>This dataset is the basis for the journal article "Improving the Effectiveness of the Solid-Solution-Strengthening Elements Mo, Re, Ru and W in Single-Crystalline Nickel-Based Superalloys" (<a href="https://doi.org/10.3390/met11111707">doi.org/10.3390/met11111707</a>). </p> <p>Differential Scanning Calorimetry (DSC), Electron-Probe Mirco-Analysis (EPMA equipped with WDS detectors), Compression Creep and CalPhaD calculation data are included in this dataset. In the resulting article the partitioning and solid solution strengthening behavior of the elements Mo, Re, Ru, and W are investigated in three different alloy collections:</p> <p>"Reference" alloys: ERBO/1 (based on the commercial alloy CMSX-4), ERBO/13 (optimized alloy: <a href="http://doi.org/10.1088/0965-0393/23/3/035004">doi.org/10.1088/0965-0393/23/3/035004</a>) and ERBO/15 (optimized alloy: <a href="http://doi.org/10.1002/9781119075646.ch4">doi.org/10.1002/9781119075646.ch4</a>)</p> <p>"Model" alloys: ERBO/17, ERBO/18, ERBO/19 and ERBO/32 - experimental SX Nickel-Based superalloys to investigate the influence of Ti and Ta on the partitioning behavior of W</p> <p>"Experimental" alloys: EXP10, EXP11, EXP12, EXP13, EXP14, EXP15, EXP16, EXP17, EXP18 - general investigation of the behavior of Mo, Re, Ru and W, in terms of partitioning and thermophysical properties.</p> <p>_________</p> <p> </p> <p>CalPhaD data: short meta data file included in the respective subdirectory</p> <p>DSC data: Meta data as header in each file</p> <p>EPMA data: For each alloy a directory includes a general meta data file "0.cnd", an element specific meta data file "*.cnd" and the actual mapping data of each element "*.txt" (element name is listed in the corresponding specific meta data file). All element compositions are given in wt.-% in the mapping data .txt files. Exceptions: "COMPO" maps represent the total amount of detector counts; The values correspond to counts if the mapping .txt files contain non-float (e.g. integer) values (usually this means that there is very little or none of that element present and should therefore not be quantified to a wt.-% value).</p> <p>Creep: short meta data file included in the respective subdirectory</p>
Dataset: Sprott Nickel Miners ETF (NIKL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Three dimensional characterization of nickel coarsening in solid oxide cells via ex-situ ptychographic nano-tomography
<p>Three-dimensional dataset of a solid oxide cell (SOC) fuel electrode microstructure. Data were acquired using ptychographic X-ray computed tomography (PXCT). </p>
Figure 4 in Evaluation of nickel-induced brain injuries in rats via oxidative stress and apoptosis: attenuating effects of hyperoside
Figure 4. Morphology and location of PAS granules of brain tissues of control (A), Hyp-treated (B), Ni-treated (C), and Ni + Hyp-treated (D) rats. Homogeneous PAS staining was observed in the control group (A) and the Hyp-treated (B) groups. Clusters of granules shown inside square (C) and by black arrow (D), respectively (200× magnification).
Figure 3 in Evaluation of nickel-induced brain injuries in rats via oxidative stress and apoptosis: attenuating effects of hyperoside
Figure 3. Histological views of brain tissues of control (A), Hyp-treated (B), Ni-treated (C), and Ni + Hyp-treated (D) rats. Small blood vessels (BV) from pia mater penetrate the cerebral cortex substance pyramidal cells (PC) with apical dendrites closely associated with smaller, round glial cells (GC) (A and B). Perivascular inflammation around a blood vessel (inside square) (C) and perivascular inflammatory cell infiltrates in hematoxylin and eosin-stained brain tissue (D) (200× magnification).
Figure 5 in Evaluation of nickel-induced brain injuries in rats via oxidative stress and apoptosis: attenuating effects of hyperoside
Figure 5. Brain tissues of control (A) and Hyp (B) groups were negative for Congo red. Amyloid deposits in brain parenchyma and around blood vessels shown inside square (C) and marked by black arrows (D) (200× magnification). Differences in measured parameters among the groups were analyzed with a nonparametric test (Kruskal–Wallis). Dual comparisons between groups exhibiting significant values were evaluated with a Mann–Whitney U test (P <0.05).
Figure 1 in Evaluation of nickel-induced brain injuries in rats via oxidative stress and apoptosis: attenuating effects of hyperoside
Figure 1. Effect of Ni administration on body weight gain. Data are presented as mean ± standard error of mean (SEM) (n = 7). a Significant differences between other studied groups and control (a4 P <0.0001). b Significant differences between other groups studied and Hyp group (b1 P <0.05, b4 P <0.0001). c Significant differences between other groups studied and Ni + Hyp group (c3 P <0.001) by Tukey's multiple range tests.
Kinetic Insights into Glycerol Electrooxidation on Nickel: Current-Dependent Product Distribution and Reaction Mechanism
<p>## FILE DESCRIPTION<br>--------------<br>### Figure 1<br>- Fig1a.txt : Cyclic voltammetry of a Ni-based electrode in 0.1 M LiOH and 50 mM glycerol, measured at 5 mV s^-1. <br>- Fig1b.txt : IS spectra obtained at 1.50 V vs RHE in 0.1 M LiOH and 0.1 M LiOH + 50 mM glycerol.<br>- Fig1c.txt : Chronopotentiometric curves at 1 mA cm^-2, 3 mA cm^-2, 5 mA cm^-2 during 2 hours in 0.1 M LiOH + 50 mM glycerol.</p> <p>### Figure 2<br>- Fig2a.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1 mA cm^-2.<br>- Fig2b.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 3 mA cm^-2.<br>- Fig2c.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 5 mA cm^-2.<br>- Fig2d.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 10 mA cm^-2.<br>- Fig2e.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 1 mA cm^-2.<br>- Fig2f.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 3 mA cm^-2.<br>- Fig2g.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 5 mA cm^-2.<br>- Fig2h.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 10 mA cm^-2.</p> <p>### Figure 3<br>- Fig3a.txt : Rate constant comparison at varying current densities applied for the formation of formate, glycolate, glycerate, tartronate and oxalate with its error bar.</p> <p>### Figure 4<br>- Fig4a.txt : Differential optical density (m∆O.D) taken at the maximum absorption peak as a function of potential applied in a solution of 0.1 M LiOH and LiOH 0.1 M + 50 mM glycerol in different regions (capacitive, NiOOH formation and GEOR and OER).<br>- Fig4b.txt : Rate law plot for glycerol and LiOH considering current density as a function of the normalized differential absorption (m∆O.D).</p> <p>### Figure S3<br>- FigS3.txt : X-ray diffraction (XRD) analysis </p> <p><br>### Figure S4<br>- FigS4a.txt : Cyclic Voltammetries in different electrolytes.</p> <p>### Figure S5<br>- FigS5a.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1.53 V vs RHE.<br>- FigS5b.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1.62 V vs RHE.<br>- FigS5c.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1.78 V vs RHE.</p> <p>### Figure S6<br>- FigS6a.txt : pH measurement near to the surface of the electrode and in the bulk of the solution every five minutes at 1 mA cm^-2.<br>- FigS6b.txt : pH measurement near to the surface of the electrode and in the bulk of the solution every five minutes at 3 mA cm^-2.<br>- FigS6c.txt : pH measurement near to the surface of the electrode and in the bulk of the solution every five minutes at 5 mA cm^-2.</p> <p>### Figure S7<br>- FigS7a.txt : UV-Vis absorbance spectra as a function of applied potentials in 0.1 M LiOH.<br>- FigS7b.txt : Chronoamperometry measurement without glycerol.<br>- FigS7c.txt : UV-Vis absorbance spectra as a function of applied potentials in 0.1 M LiOH + 50 mM glycerol.<br>- FigS8d.txt : Chronoamperometry measurement with glycerol.</p> <p>### Figure S8<br>- FigS8a.txt : Differential UV-Vis spectra of pre-catalytic (species formed in capacitive and NiOOH formation region) in 0.1 M LiOH.<br>- FigS8b.txt : Differential UV-Vis spectra of catalytic species (formed in OER and GEOR region) in 0.1 M LiOH.<br>- FigS8c.txt : Differential UV-Vis spectra of pre-catalytic species in 0.1 M LiOH + 50 mM glycerol. <br>- FigS8d.txt : Differential UV-Vis spectra of catalytic species in 0.1 M LiOH + 50 mM glycerol.<br>- FigS8e.txt : Steady state J-V curve with the onset for OER (Oxygen Evolution Reaction) and GEOR (Glycerol Electrooxidation Reaction) indicated.</p> <p>### Figure S9<br>- FigS9.txt : Rate law plot for glycerol and LiOH considering current density (j) as a function of the normalized differential absorption (m∆O.D).</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.