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8 results for “electrokinetics”
Computational Implementation of "Uncoupling electrokinetic flow solutions", published in Mathematical Geosciences
<p>This dataset includes Python and Mathematica scripts used to generate figures, and images used in the Mathematical Geosciences (MG) manuscript "Uncoupling Electrokinetic Flow Solutions" by Kuhlman and Malama (2020).</p> <p>Python scripts implementing eigenvalue uncoupling approach for differential equations governing 1D cylindrically symmetric electrokinetic flow problem (i.e., flow to a pumping well).</p> <ol> <li>mpmath python script (recombine-expint.py) implementing Theis "type curve" solution for an infinite domain (Figures 1-3 in MG manuscript)</li> <li>fipy python script (compare-via-fipy.py) and plotting script (plot_fipy_results.py) showing a finite-volume fully coupled solution for a similar finite domain for comparison against eigenvalue uncoupling approach (Figure 4 in MG manuscript). Also includes two shell scripts for driving python scripts for a variety of inputs.</li> </ol> <p>mathematica script (periodic-1D-steady-state-type-1.nb) for solving the algebra associated with the governing equations and plotting figures for analytical solution of periodically driven 1D solution (i.e., laboratory sinusoidal streaming potential and electroosmosis; Figures 4-9 in MG manuscript).</p> <p> </p>
Data for : Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops
<p>Data file for article: Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops (https://doi.org/10.1016/j.jenvman.2022.116699).</p>
Dataset: Crown Electrokinetics Corp. (CRKN) 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.
Supporting Data for "Synthesis and electrokinetics of cationic spherical nanoparticles in salt-free non-polar media" (Chemical Science, doi:10.1039/c7sc03334f)
<p>TEM micrographs of diblock copolymer micelles (magnification given in file name).</p> <p>Small-angle X-ray (SAXS) and small-angle neutron scattering (SANS) data (Q [1/Å], I(Q) [SAXS - arbitrary, SANS - 1/cm], error I(Q) [same units]).</p>
Data from: Electrokinetic remediation of heavy metals from municipal solid waste incineration fly ash pretreated by nitric acid
Municipal Solid Waste Incineration (MSWI) fly ash has high concentration of Heavy Metals (HMs) which are hazardous to environment. Moreover, it has high pH and buffering capacity which hinders the removal of HMs. Another constraining factor is considerable fraction of HMs which existe in oxidizable and reducible states. The acid pretreatment of MSWI fly ash is key solution to these problem. Therefore, current experiment is carried out to evaluate the effect of acid pretreatment of MSWI fly ash and reaction/proposed time on removal efficiency of HMS through electrokinetic experiment. The leaching experiment results show that acid pretreatment has increased the desorption/release of heavy metals ions (Pb2+, Cd2+, Cu2+ and Zn2+). It enhances the migration of HMs ions in electrolytic cell which get precipitated at cathode thereby increasing the removal efficiency of HMS in electrokintic experiment. Moreover, it is found that prolonged proposed time (12 d) has significant effect on removal efficiency of HMs. Finally, it is concluded that acid pretreatment and prolonged proposed time has enhanced the removal electrokinetic remediation of HMS which is carried out via three process i.e. desorption (enhanced by acidification), migration and precipitation.
Data from: Electrokinetic remediation of heavy metals from municipal solid waste incineration fly ash pretreated by nitric acid
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Data from: Effect of chemical additives on electrokinetic remediation of Cr-contaminated soil coupled with a permeable reactive barrier
Chromium(Cr) contamination in soil, especially Cr(VI) has a serious threat to the environment and human health. The electrokinetic remediation (EKR) is a promising technology to remediate the Cr(VI). Therefore, EKR coupled with a permeable reactive barrier (PRB) was used to treat the Cr(VI) contaminated soil in this study. The CTMAB-Z, a modified zeolite (prepared by cetyl trimethyl ammonium bromide) alone and a mixture of CTMAB-Z and Fe(0) were used as PRB-1 and PRB-2 reactive media, respectively. The effect of chemical enhancers/additives i.e. dl-tartaric acid and tween 80 on EKR of Cr(VI) was also analysed in the contrasting experiments. While, the effects of repair time, voltage gradient and dl-tartaric acid concentration on Cr(VI) remediation were investigated by utilizing multifactor orthogonal experiment which was based on contrasting experiments. The contrasting experiment results showed that the highest Cr(VI) removal rate(66.27%) and leaching efficiency(71.29%) were observed in the experimental group which had dl-tartaric acid and PRB-2. Furthermore, the multifactor orthogonal experiment results had depicted that the highest Cr(VI) removal rate(80.92%) and leaching efficiency(85.25%) were achieved after treating the samples at a voltage gradient of 2.5 v/cm for 8 days in presence of 0.15 M concentration of dl-tartaric acid. This study demonstrated that Cr(VI) remediation through EKR process could be significantly enhanced by the use of PRB and additives.
Data from: Effect of chemical additives on electrokinetic remediation of Cr-contaminated soil coupled with a permeable reactive barrier
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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.