Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
12
datasets available to search
ShareScore release 0.9.0
Dataset results
12 results for “ionic conductivity”
Mixed ionic-electronic conduction in Ruddlesden-Popper and Dion-Jacobson layered hybrid perovskites with aromatic organic spacers
<p>Characterisation dataset for “Mixed ionic-electronic conduction in Ruddlesden-Popper and Dion-Jacobson layered hybrid perovskites with aromatic organic spacers”, DOI:10.1039/d4tc01010h. Data provided as *.xlsx, *.csv, *tif and *.png files.</p> <p> </p> <p> </p> <p> </p>
Ionic conductivity, viscosity, and self-diffusion coefficients of novel imidazole salts for lithium-ion battery electrolytes
<p>This entry contains the data related to the publication<br><strong>A. Szczęsna-Chrzan <em>et al.</em>, “Ionic conductivity, viscosity, and self-diffusion coefficients of novel imidazole salts for lithium-ion battery electrolytes,”<em> J. Mater. Chem. A</em>, vol. 11, no. 25, pp. 13483–13492, 2023, doi: 10.1039/D3TA01217D.</strong><br><br>It contains experimentally determined conductivity, viscosity and self-diffusion coefficients of anions of the Hückel-type salts lithium 4,5-dicyano-2-(trifluoromethyl)imidazolide (LiTDI), lithium 4,5-dicyano-2-(pentafluoroethyl)imidazolide (LiPDI) and lithium 4,5-dicyano-2-(n‑heptafluoropropyl)imidazolide (LiHDI) for various concentrations of the conducting salts (0 M - 1.5 M) in a solvent mixture containing ethylene carbonate (EC) and ethyl methyl carbonate (EMC) in a ratio of 3:7 by weight.</p> <p>The Python scripts used for the analysis of the NMR data are also included in the dataset.</p>
Appendix A. Supplementary material for: Water-like thermal conductivity of ionanofluids containing high aspect ratio multi-walled carbon nanotubes and 1-ethyl-3-methylimidazolium-based ionic liquids with cyano-functionalized anions
<p><span>Experimental data in numerical form for INFs composed of CNTs and [Emim]-based ILs with cyano-functionalized anions: density (Table S1), viscosity (Tables S2–S5), thermal conductivity (Tables S6, S7), and ANOVA analysis (Table S8).</span></p>
Data for the publication "MgB2Se4 Spinels (B = Sc, Y, Er, Tm) as Potential Mg-Ion Solid Electrolytes – Partial Ionic Conductivity and the Ion Migration Barrier"
<h1><strong>Description Datasets</strong></h1> <p>Datasets are obtained from X-ray diffraction (XRD), Rietveld analysis, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), nuclear magnetic resonance (NMR) spectroscopy, electrochemical impedance spectroscopy (EIS), chronoamperometry (CA), chronopotentiometry (CP) and linear sweep voltammetry (LSV).</p> <h1><strong>Abstract</strong></h1> <p>The magnesium chalcogenide spinel MgSc~2~Se~4~ with high Mg-ion room-temperature conductivity has recently attracted interest as solid electrolyte for magnesium ion batteries. Its ionic/electronic mixed-conducting nature and the influence of the spinel composition on the conductivity and Mg^2+^ migration barrier are yet not well understood. Here, results from a combined experimental and computational study on four MgB~2~Se~4~ spinels (B = Sc, Y, Er, Tm) are presented. The room-temperature ionic conductivities (<em>σ</em>~ion~ = 2x10^–5^–7x10^–5^ S cm^–1^) of the spinels are accurately measured, as electron transport is effectively suppressed by purely Mg-ion conducting electrode interlayers. Using the same approach, reversible Mg plating/stripping as well as good electrochemical stability are achieved. Driven by the good accordance of the computationally and experimentally obtained Mg^2+^ migration barriers <em>E</em>~a~(th) and <em>E</em>~a~, respectively, further periodic density functional calculations are performed on the MgB~2~Se~4~ spinel system, revealing the role of trigonal distortion on the migration path geometry and <em>E</em>~a~(th). These findings provide deeper understanding how to reach small Mg^2+^ migration barriers <em>E</em>~a~ in the MgB~2~Se~4~ spinels.</p>
Cellulose nanofiber-reinforced solid polymer electrolytes with high ionic conductivity for lithium batteries
<p>The data contained herein support both the results described in the research article entitled "Cellulose nanofiber-reinforced solid polymer electrolytes with high ionic conductivity for lithium batteries" with the following DOI: <a href="https://doi.org/10.1039/D3TA00380A">10.1039/D3TA00380A</a>, and the corresponding supporting information.</p>
Data for The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics
<p>Experimental and computational data and analysis workflows for the manuscript "The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics" (doi:10.1038/s41586-023-06827-6). </p><p>Python scripts:</p><ol><li>paper_tke_plots_pub.py is for experimental TKE plots</li><li>analysis_pumping_pub.py is for computational TKE plots</li></ol><p>Python requirements for the work-up of experimental data are the typical scientific python stack: numpy, matplotlib, scipy, pandas, sympy. Computational counterpart of the TKE experiment uses essentially the same hopping analysis as our computational study https://www.nature.com/articles/s41563-022-01316-z with its scripting available at https://github.com/apoletayev/anomalous_ion_conduction/ . The python package requirements are, in addition to above, networkx, freud, deepgraph, fastparquet, pyarrow. All python scripts work best when run in a notebook-like fashion cell by cell (e.g. with spyder).<br><br>Experimental data: TKE, OKE, THz transmission.<br>Computational data: example simulations of Na beta-alumina, K beta-alumina, K beta"-alumina. The files include tracking the simulation temperatures, centers of mass of the mobile ions, and hopping. <br><br>Basic usage: download and unzip data. Install python dependencies (e.g. using conda or pip). Run python from the same directory in which the data folders are located. All paths in the scripts are relative.</p>
Exploring the thermal and ionic transport of Cu+ conducting argyrodite Cu7PSe6 (Computational data)
<p>This repository contains computational data for the manuscript titled “Exploring the thermal and ionic transport of Cu+ conducting argyrodite Cu7PSe6”. It consists of outputs and analysis scripts for bonding analysis through LOBSTER, harmonic phonon, and Grüneisen parameters calculations using VASP and phonopy. </p>
Visualizing local fast ionic conduction pathways in nanocrystalline lanthanum manganite by isotope exchange-atom probe tomography - dataset
<p>Raw data for atom probe tomography 2D elemental reconstructions of 18O-exchanged La0.8Sr0.2MnO3 thin films. LSM thin films were deposited by large-area PLD (PVD Systems – PLD 5000) using a 248 nm KrF excimer laser (Lambda Physics – COMPex PRO 205). The layers were deposited on Al<sub>2</sub>O<sub>3</sub> (0001) single crystal substrate (Crystec GmbH). A thin barrier layer of Ce<sub>0.8</sub>Sm<sub>0.2</sub>O<sub>1.9</sub> (SDC) was deposited before the LSM film in order to avoid cationic intermixing at the interface. Both layers were deposited at 700 °C, under an oxygen pressure of 2.6 × 10<sup>−2</sup> mbar, target–substrate distance of 95 mm, laser fluency ≈1.2 J cm<sup>−2</sup> and 5 Hz of laser frequency. The thickness of LSM and SDC layers deposited was ≈45 nm and ≈35 nm, respectively, as measured by spectroscopy ellipsometry (UVISEL, Horiba scientific).The nominal oxygen exchange temperature and time were 550 °C and 1 h and 40 min, respectively. Instrument Cameca LEAP 4000X Si. APT performed at 45.5 K using a 30 pJ laser energy and 500 kHz pulse rate. The flight path length was 90 mm and the ion detection rate was set to 5 ions per 1000 pulses, resulting in a bias range of 5000–7400 V during the data collection. Reconstructions were generated in Cameca's IVAS 3.6.18 software. A systematic energy deficit correction was employed to improve the mass spectral resolution.</p>
Influence of water sorption on ionic conductivity in polyether electrolytes at low hydration
Open the record for dataset details and reuse information.
DC Ionic Conductivity in KTP and Its Isomorphs: Properties, Methods for Suppression, and Its Connection to Gray Tracking
<p>Dataset for the related publication "DC Ionic Conductivity in KTP and Its Isomorphs: Properties, Methods for Suppression, and Its Connection to Gray Tracking"</p>
Supporting informations for Water-enhanced ionic conductivity in olivine
<p>This is the supporting materials for the article Water-enhanced ionic conductivity in olivine by Fei et al.</p>
Ionic conductances driving tonic firing in Purkinje neurons of larval zebrafish
<p>This contains all the analysed dataset related to the publication in Journal of Physiology; Jadhav et al., 2025. Folders contain data used for each figure. Scripts to analyse eletrophysiology recordings and generate figures added in a separate folder.</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.