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1,491 results for “Ione”

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zenodo28/100

Square Antiprismatic Chelation Is a Key Determinant for Potassium Ion Selectivity

<p>Files presented here are archives KDB.tar.gz, MEMB_DB.tar.gz and PDB70.tar.gz.</p> <p>Archives &nbsp;KDB.tar.gz, MEMB_DB.tar.gz and PDB70.tar.gz contain models of indentified sites for potassium channels (dataset #1), other membrane proteins, excluding potassium channels (dataset #2) and &nbsp; non-membrane proteins form PDB70 (dataset #3). The name of a folder in the dataset corresponds to PDB ID of a protein for which calculation were made. Each folder contain the following files:</p> <ul> <li>&lt;PDB_ID&gt;.pdb &mdash; the original pdb file.</li> <li>&lt;PDB_ID&gt;.ref &mdash; file that contains oxygens and nitrogens from original pdb that were used for scanning.</li> <li>&lt;PDB_ID&gt;_COMBS.txt &mdash; combinations of atoms that were used for calculations.</li> <li>&lt;PDB_ID&gt;_alignment_X.pdb &mdash; original template that was aligned to the protein atoms. X denotes a number of the alignment.</li> <li>&lt;PDB_ID&gt;_site_X.pdb &mdash; this pdb file contains eight atoms that form the site for K+ and which were used for the corresponding alignment X.</li> <li>&lt;PDB_ID&gt;_RES.txt &mdash; the combinations of protein atoms that form the site are written in square brackets. The RMSD value for the alignment to this site is written to the right of them.</li> <li>&lt;PDB_ID&gt;_RMSD.log &mdash; this file contains RMSD values of the template alignment to the corresponding site.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Mar 2024View details →
zenodo28/100

Static electric equivalent circuit of commercial lithium-ion battery cells using genetic algorithms

Open the record for dataset details and reuse information.

opencc-by-4.0Jan 2020View details →
zenodo28/100

Effects analysis on energy density optimization and thermal efficiency enhancement of the air-cooled Li-ion battery modules

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opencc-by-4.0Jan 2022View details →
zenodo28/100

Computational Data for "A conserved peptide binding pocket in HyNaC/ASIC ion channels"

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opencc-by-4.0Apr 2024View details →
zenodo28/100

Scalable Non-Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

Data of manuscript'The Effects of Storm-enhanced Zonal Ion Drifts and Plasmaspheric Heat Flux on Middle-Latitude Ionospheric Trough'

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opencc-by-4.0Dec 2024View details →
zenodo28/100

Dataset for publication Synthesis of tubular MXenes with carbon fiber template and use as anodes in lithium-ion batteries

<p>The dataset contains all relevant data and figures regarding the manuscript "Synthesis of tubular MXenes with carbon fiber template and use as anodes in lithium-ion batteries".</p> <p>All Figures are in tiff format and all relevant data are in csv formats.&nbsp;</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.).&nbsp;</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>

opencc-by-4.0Nov 2024View details →
zenodo28/100

Scheme 1 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Scheme 1 Proposal of the reaction pathway between valsartan and BPB with formation Valsartan-Bromphenol blue complex.

opencc-by-4.0Nov 2021View details →
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Figure 7 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 7 Absolute values ∆ A of the difference in the absorption of valsartan with MR in different solvents with the absorption of MR in different solvents.

opencc-by-4.0Nov 2021View details →
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Scheme 2 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Scheme 2 Proposal of the reaction pathway between valsartan and MR with formation Valsartan-Methyl red ion pair associates.

opencc-by-4.0Nov 2021View details →
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Figure 5 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 5 Absolute values ∆ A of the difference in the absorption of valsartan with BPB in different solvents with the absorption of BPB in different solvents.

opencc-by-4.0Nov 2021View details →
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Figure 15 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 15 Graph of the dependence of the adsorption of the reaction product of valsartan with MR on time.

opencc-by-4.0Nov 2021View details →
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Figure 14 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 14 Graph of the dependence of the adsorption of the reaction product of valsartan with BPB on time.

opencc-by-4.0Nov 2021View details →
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Figure 13 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 13 Absorption spectra of MR and valsartan with MR under conditions of studying the amount of added MR.

opencc-by-4.0Nov 2021View details →
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Figure 12 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 12 Absorption spectra of BPB and valsartan with BPB under conditions of studying the amount of added BPB.

opencc-by-4.0Nov 2021View details →
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Figure 9 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 9 Plot of Job's method for determination of molar ratio of the formed Valsartan-MR ion pair complex.

opencc-by-4.0Nov 2021View details →
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Figure 8 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 8 Plot of Job's method for determination of molar ratio of the formed Valsartan-BPB ion pair complex.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Biophysical characterization of calcium-binding and modulatory-domain dynamics in a pentameric ligand-gated ion channel

<p><strong>Molecular dynamics simulations</strong></p> <p>Trajectories and related files.</p>

opencc-by-4.0Feb 2022View details →
zenodo28/100

Proton and Helium Ion Acceleration at Magnetotail Plasma Jets

<p>Additional files</p>

opencc-by-4.0Feb 2022View details →
zenodo28/100

One-Step Grown Carbonaceous Germanium Nanowires and Their Application as Highly Efficient Lithium-Ion Battery Anodes

<p>Developing a simple, cheap, and scalable synthetic method for the fabrication of functional nanomaterials is crucial. Carbon-based nanowire nanocomposites could play a key role in integrating group IV semiconducting nanomaterials as anodes into Li-ion batteries. Here, we report a very simple, one-pot solvothermal-like growth of carbonaceous germanium (C-Ge) nanowires in a supercritical solvent. C-Ge nanowires are grown just by heating (380&ndash;490 &deg;C) a commercially sourced Ge precursor, diphenylgermane (DPG), in supercritical toluene, without any external catalysts or surfactants. The self-seeded nanowires are highly crystalline and very thin, with an average diameter between 11 and 19 nm. The amorphous carbonaceous layer coating on Ge nanowires is formed from the polymerization and condensation of light carbon compounds generated from the decomposition of DPG during the growth process. These carbonaceous Ge nanowires demonstrate impressive electrochemical performance as an anode material for Li-ion batteries with high specific charge values (&gt;1200 mAh g<sup>&ndash;1</sup>&nbsp;after 500 cycles), greater than most of the previously reported for other &ldquo;binder-free&rdquo; Ge nanowire anode materials, and exceptionally stable capacity retention. The high specific charge values and impressively stable capacity are due to the unique morphology and composition of the nanowires.</p>

opencc-by-4.0Mar 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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