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.
252
datasets available to search
ShareScore release 0.9.0
Dataset results
252 results for “Doping”
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>
Zinc Doped Zeolite 13X I13-2 X-Ray Computed Tomography - 8-bit Sub-Volumes
<p>This repository contains data for the zinc-doped zeolite 13X sample imaged on the I13-2 beamline at Diamond Light Source. Data is stored as a .h5 file which can be loaded using ImageJ/Fiji. The size of each dataset is 500x1000x1000. Below is a summary of the pixel-sizes and associated datasets on Zenodo.</p> <blockquote> <p>Key:</p> <ul> <li>160695 = 0.3125 Micron = https://zenodo.org/records/13327692</li> <li>169066 = 0.8125 Micron = https://zenodo.org/records/13327682</li> <li>169067 = 1.625 Micron = https://zenodo.org/records/13327651</li> <li>169068 = 2.6 Micron = https://zenodo.org/records/12206815</li> </ul> </blockquote> <p>The purpose of this dataset is to provide an easy to download sub-volumes of the larger (>50GB) datasets in the above Zenodo entries.</p> <p>A detailed data descriptor pre-print is available at https://arxiv.org/abs/2409.07322#</p>
Effect of Fe-doping on VS2 monolayer: A first-principles study
<p><span>This dataset includes the DFT results used to investigate Figures 3–7 of our study on the Effect of Fe-doping on VS2 monolayer: A first-principles study. The .dat files include band structure calculations from GGA+U (Figure 3) and GGA+U+SOC (Figure 4), magnetic anisotropy energy (MAE) data (Figure 5), dielectric constant from the optical properties (Figure 6), and absorption (Figure 7). All data were calculated using the QuantumATK code package. This dataset supports reuse and additional magnetic and optical behavior analysis in this work.</span></p>
Dataset of "Mn-doped WSe2 as an efficient electrocatalyst for hydrogen production and as anode material for lithium-ion batteries"
<p>The ongoing energy crisis has made it imperative to develop low-cost, easily fabricated, yet efficient materials. It is highly desirable for these nanomaterials to function effectively in multiple applications. Among transition metal dichalcogenides, tungsten diselenide (WSe2) shows great promise but remains understudied. In this work, we doped WSe2 with Mn using a simple hydrothermal method. The resulting material exhibited excellent electrocatalytic activity for the hydrogen evolution reaction, achieving a low overpotential of –0.28 V vs RHE at -10 mA/cm2, enhanced conductivity, and high stability and durability. Moreover, as an anode material in in lithium-ion batteries, the Mn-doped WSe2 outperformed pristine WSe2, reaching discharge and charge capacities of 1223 and 922 mAh g−1, respectively. Additionally, the Mn-doped material maintained a significantly higher discharge capacity of 201 mAh g−1 compared to intact WSe2, which had 68 mAh g−1 after 150 cycles. This work offers novel insights into designing efficient bifunctional nanomaterials using transition metal dichalcogenides.</p>
Zinc Doped Zeolite 13X DIAD X-Ray Computed Tomography - 0.54 micron pixel size RAW
<p>This repository contains raw data for the zinc-doped zeolite 13X sample imaged on the DIAD beamline at Diamond Light Source. Data is stored as a .nxs file which can be loaded using ImageJ/Fiji. The size of this dataset is 2510x2510x2110 with a pixel-size of 0.54 microns. A script containing the savu process list and code used to perform the 3D reconstruction is provided.</p> <p>A detailed data descriptor pre-print can be found at https://arxiv.org/abs/2409.07322#</p> <p> </p> <p>The size of the .h5 file is >50GB and cannot be downloaded from the browser. It is recommended to use a terminal to download the data using the 'curl' or 'wget' command. To generate a file url, right-click the 'Download' button for the dataset you want to download and select 'Copy Link. Enter the following command in your terminal to download the dataset:</p> <blockquote> <p>curl dataset_url > 43334_raw.h5</p> </blockquote> <p>Please replace dataset_url with the url you copied.</p>
Zinc Doped Zeolite 13X I13-2 X-Ray Computed Tomography - 1.625 micron pixel size
<p>This repository contains data for the zinc-doped zeolite 13X sample imaged on the I13-2 beamline at Diamond Light Source. Data is stored as a .h5 file which can be loaded using ImageJ/Fiji. The size of this dataset is 2510x2510x2110 with a pixel-size of 1.625 microns.</p> <p>This data is one of four resolutions obtained.</p> <p>A detailed data descriptor pre-print is available at https://arxiv.org/abs/2409.07322#</p> <p>The size of the .h5 file is >50GB and cannot be downloaded from the browser. It is recommended to use a terminal to download the data using the 'curl' or 'wget' command. To generate a file url, right-click the 'Download' button for the dataset you want to download and select 'Copy Link. Enter the following command in your terminal to download the dataset:</p> <blockquote> <p>curl dataset_url > 169067_recon.h5</p> </blockquote> <p>Please replace dataset_url with the url you copied.</p>
Zinc Doped Zeolite 13X DIAD X-Ray Computed Tomography - 0.54 micron pixel size
<p>This repository contains processed data for the zinc-doped zeolite 13X sample imaged on the DIAD beamline at Diamond Light Source. Data is stored as a .nxs file which can be loaded using ImageJ/Fiji. The size of this dataset is 2510x2510x2110 with a pixel-size of 0.54 microns. A script containing the savu process list and code used to perform the 3D reconstruction is provided.</p> <p>A detailed data descriptor pre-print is available at https://arxiv.org/abs/2409.07322#</p> <p>The size of the .h5 file is >50GB and cannot be downloaded from the browser. It is recommended to use a terminal to download the data using the 'curl' or 'wget' command. To generate a file url, right-click the 'Download' button for the dataset you want to download and select 'Copy Link. Enter the following command in your terminal to download the dataset:</p> <blockquote> <p>curl dataset_url > 43334_recon.h5</p> </blockquote> <p>Please replace dataset_url with the url you copied.</p>
Zinc Doped Zeolite 13X I13-2 X-Ray Computed Tomography - 0.325 micron pixel size
<p>This repository contains data for the zinc-doped zeolite 13X sample imaged on the I13-2 beamline at Diamond Light Source. Data is stored as a .h5 file which can be loaded using ImageJ/Fiji. The size of this dataset is 2510x2510x2110 with a pixel-size of 0.325 microns.</p> <p>This data is one of four resolutions obtained.</p> <p>A detailed data descriptor pre-print is available at https://arxiv.org/abs/2409.07322#</p> <p>The size of the .h5 file is >50GB and cannot be downloaded from the browser. It is recommended to use a terminal to download the data using the 'curl' or 'wget' command. To generate a file url, right-click the 'Download' button for the dataset you want to download and select 'Copy Link. Enter the following command in your terminal to download the dataset:</p> <blockquote> <p>curl dataset_url > 169065_recon.h5</p> </blockquote> <p>Please replace dataset_url with the url you copied.</p>
Zinc Doped Zeolite 13X I13-2 X-Ray Computed Tomography - 0.8125 micron pixel size
<p>This repository contains data for the zinc-doped zeolite 13X sample imaged on the I13-2 beamline at Diamond Light Source. Data is stored as a .h5 file which can be loaded using ImageJ/Fiji. The size of this dataset is 2510x2510x2110 with a pixel-size of 0.8125 microns.</p> <p>This data is one of four resolutions obtained.</p> <p>A detailed data descriptor pre-print is available at https://arxiv.org/abs/2409.07322#</p> <p>The size of the .h5 file is >50GB and cannot be downloaded from the browser. It is recommended to use a terminal to download the data using the 'curl' or 'wget' command. To generate a file url, right-click the 'Download' button for the dataset you want to download and select 'Copy Link. Enter the following command in your terminal to download the dataset:</p> <blockquote> <p>curl dataset_url > 169066_recon.h5</p> </blockquote> <p>Please replace dataset_url with the url you copied.</p>
Zinc Doped Zeolite 13X I13-2 X-Ray Computed Tomography - 2.6 micron pixel size
<p>This repository contains data for the zinc-doped zeolite 13X sample imaged on the I13-2 beamline at Diamond Light Source. Data is stored as a .h5 file which can be loaded using ImageJ/Fiji. The size of this dataset is 2510x2510x2110 with a pixel-size of 2.6 microns.</p> <p>This data is one of four resolutions obtained.</p> <p>A detailed data descriptor pre-print is available at https://arxiv.org/abs/2409.07322#</p> <p>The size of the .h5 file is >50GB and cannot be downloaded from the browser. It is recommended to use a terminal to download the data using the 'curl' or 'wget' command. To generate a file url, right-click the 'Download' button for the dataset you want to download and select 'Copy Link. Enter the following command in your terminal to download the dataset:</p> <blockquote> <p>curl dataset_url > 169068_recon.h5</p> </blockquote> <p>Please replace dataset_url with the url you copied.</p>
XPS and XANES spectra for Li doped MoS2 few-layer films
<p><strong>Description</strong></p> <p>Dataset for x-ray photoelectron (XPS) and absorption near-edge structure (XANES) spectra of Li doped MoS<sub>2</sub> nanofilms grown by one-zone sulfurization on c-plane sapphire substrate.</p> <p> </p> <p><strong>XPS Data formats</strong></p> <p>The same XPS datasets are saved into two different data formats.</p> <ol> <li><a href="https://doi.org/10.1002/sia.740130202">VAMAS</a> (ASCII ISO 14976)</li> <li>Plain text column files: Double-column files (dat) and corresponding metadata files (txt)</li> </ol> <p> </p> <p><strong>XANES Data formats</strong></p> <ol> <li>XDI (<a href="http://github.com/XraySpectroscopy/XAS-Data-Interchange">XAS Data Interchange</a>): raw XANES data</li> <li>PRJ (Athena Project File): normalized XANES data processed in <a href="http://bruceravel.github.io/demeter/">ATHENA free software package.</a></li> </ol> <p> </p>
Source Data for "Transport properties and doping evolution of the Fermi surface in cuprates"
<p>Source data for the publication "Transport properties and doping evolution of the Fermi surface in cuprates", in Scientific Reports (https://doi.org/10.1038/s41598-023-39813-z) and on arxiv (https://doi.org/10.48550/arXiv.2303.05254).</p> <p>This dataset is organized in the following way:</p> <p>For every figure of the manuscript there is a separate folder, which includes the figure itself, as well as one or more additional folders for the individual panels. In those, there are one or more .csv files with the data. Some of the .csv files have two header lines, for example when the temperature and <span class="math-tex">\(n_{\mathrm{H}}\)</span> are recorded for multiple doping levels.</p> <p>Additional comments:</p> <ul> <li>Figure 1 <ul> <li>The generic phase boundaries are not included.</li> <li>The precision of values of <span class="math-tex">\(n_{\mathrm{loc}}\)</span>is increased for presentation purposes</li> </ul> </li> <li>experimental doping values are typically rounded to 2 decimal points, doping errors to 3 decimal points</li> <li>estimated <span class="math-tex">\(n_{\mathrm{eff}}\)</span> are rounded to 5 decimal points</li> <li>experimental <span class="math-tex">\(n_{\mathrm{H}}\)</span> from the literature are rounded to 3 decimal points</li> <li>otherwise, if it exists, experimental values are typically rounded to the error</li> <li>temperature is always given in Kelvin</li> <li><span class="math-tex">\(C_2\)</span>is given in <span class="math-tex">\([\mathrm{TK}^{-2}]\)</span> (i.e. Tesla Kelvin^-2)</li> <li>the unit for <span class="math-tex">\(n_{\mathrm{eff}}\)</span>, <span class="math-tex">\(n_{\mathrm{loc}}\)</span>, <span class="math-tex">\(n_{\mathrm{H}}\)</span> is [per CuO2 unit cell]</li> <li>the unit for the resistivity in figure 4 is described in the methods section of the article</li> </ul>
Characterisation data of Nd- and Ce-doped uranium dioxide microspheres prepared via internal gelation
<p>The preparation of Nd- and Ce-doped UO<sub>2</sub> microspheres was studied, applying the sol-gel method via internal gelation (IG). Un-doped, and <em>Ln</em>-doped ammonium diuranate (ADU) gels with <em>Ln</em> molar metal fractions up to 30 mol% and an increment of 5 mol% were prepared (<em>Ln</em> = Nd, Ce). The dried gels were characterised using optical microscopy (OM) and X-ray powder diffraction (XRD), additionally thermogravimetric differential scanning calorimetry (TG-DSC) measurements were carried out on un-doped microspheres and particles containing 10 mol% dopant. The ADU matrix of the dried particles is converted during a thermal treatment via U<sub>3</sub>O<sub>8</sub> into a UO<sub>2</sub> matrix, which was carried out by a calcination in air (900 °C, 1 h) and a sintering in a mixture of Ar:H<sub>2</sub> and Ar:O<sub>2</sub>, corresponding to an oxygen potential of about −420 kJ mol<sup>−1</sup> , at 1600 °C for 10 h. Calcined intermediates of the un-doped particle batch, and particles each doped with 10 mol% Nd and Ce, were analysed by XRD. Sintered products of all compositions were also characterised by XRD, and additionally via scanning electron microscopy (SEM). The micropraphs, XRD patterns, TG-DSC results and all data associated with the particle fabrication and characterisation, are part of this dataset.</p>
Raw data for High Temperature Photochromism of Fe-Doped SrTiO3 Caused by UV Induced Bulk Stoichiometry Changes
<p>In the following the raw data lying the foundation of the paper High Temperature Photochromism of Fe-Doped SrTiO3 Caused by UV Induced Bulk Stoichiometry Changes (Viernstein et al.) published in Advanced Functional Materials Vo. 29 Issue 23 (WILEY-VCH Verlag GmbH & Co. KGaA, Germany) in 2019 are described. They were obtained under the funding provided by Austrian Science Fund (FWF) (project F4509-N16, FOXSI) and the European Union`s Horizon 2020 research and innovation program under the grant agreement No. 824072 and consist of UV/VIS spectra, van der Pauw measurements, electrochemical impedance spectra, and laser ablation ICP-MS data.</p> <p>The UV/VIS measurements were carried out in air, at 440 °C using a deuterium and a tungsten lamp (Edmund Optics Inc., Germany) as light source and an Ocean Optics QE6500 (Halma plc, England) as spectrometer. The data include background, I<sub>0</sub> and I absorption measurements of Fe doped SrTiO<sub>3</sub> (STO) single crystals before, during, and after illumination with UV light (365 nm). The data files are labeled for example as “UVvis_FeSTO_background_1” or ”UVvis_FeSTO_I_440C_UVon_90s”, to state the type auf measurement, temperature, and status of the experiment. In each of them the average of 30 spectra is given and each exhibits two columns, namely wavelength, and intensity.</p> <p>The van der Pauw measurements were performed on two Keithley 20 multimeter and a 2410 1100 V source meter (Keithley Instruments, USA). They are labeled in the following way: “date_applied voltage_atmosphere_sample identification_temperature cycle_status of the measurement”. Each file consists out of a header giving time, cycle number, temperature (real and set) and six columns, t[s], (applied) U[V], (measured) I[A], R [Ohm], and two unnamed columns ((applied) U[V] and (measured) U [V]).</p> <p>The electrochemical impedance spectra were obtained before, during, and after UV exposure, using an Electrochemical Test Station POT/GAL 30 V/2 A or a Novocontrol Alpha‐A high‐performance frequency analyzer, respectively (both Novocontrol Technologies GmbH & Co. KG, Germany). Each spectrum is named after the following description: “date_sample name_UVonoff_real temperature_atmosphere_spectra number”. A header with date, time, cycle number, and temperature followed by four columns, namely Freq [Hz], Re (real part of the impedance spectra), Im (imaginary part), Amp (amplitude), and Pha (phase) are given.</p> <p>Laser ablation ICP-MS measurements were performed on a NWR213 laser ablation system (ESI; USA) and an iCAP Q ICP-MS (Thermo Fisher Scientific, Germany). The obtained data file is labeled as Iaser_ablation_ICP_MS_FeSTO and exhibits sample names, names of the measured masses (isotopes) and the obtained counts.</p>
Supplementary files for "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction"
<p>DFT optimised structures used for the paper "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction". There is a separate database for structures on the Co-N4 single site, each of the Co double sites and the molecular references. Manual and NEB paths for the splitting of OOH and O2 are included as separate databases. The structures can be retrieved using the Atomic Simulation Environment (ASE, https://wiki.fysik.dtu.dk/ase/).</p>
Autofluorescence-Free In Vivo Imaging Using Polymer-Stabilized Nd3+-Doped YAG Nanocrystals
<p>Neodymium-doped yttrium aluminum garnet (YAG:Nd<sup>3+</sup>) has been widely developed during roughly the last sixty years and has been an outstanding fluorescent material. It has been considered as the gold standard among multipurpose solid-state lasers. Yet, the successful downsizing of this system into the nano regimen has been elusive, so far. Indeed, the synthesis of a garnet structure at the nanoscale, with enough crystalline quality for optical applications was found to be quite challenging. Here, we present an improved solvothermal synthesis method producing YAG:Nd<sup>3+</sup> nanocrystals of remarkably good structural quality. Adequate surface functionalization using asymmetric double-hydrophilic block copolymers, constituted of a metal-binding block and a neutral water soluble block, provides stabilized YAG:Nd<sup>3+</sup> nanocrystals with a long term colloidal stability in aqueous suspensions. These newly stabilized nanoprobes keep the spectroscopic quality (long lifetimes, narrow emission lines, and large Stokes shift) characteristic of bulk YAG:Nd<sup>3+</sup>. The narrow emission lines of YAG:Nd<sup>3+</sup> nanocrystals are exploited by differential infrared fluorescence imaging, thus achieving an autofluorescence-free <em>in vivo</em> readout. In addition, nanothermometry measurements, based on the ratiometric fluorescence of the stabilized YAG:Nd<sup>3+</sup> nanocrystals, are demonstrated. The progress here reported paves the way for the implementation of this new stabilized YAG:Nd<sup>3+</sup> system in the preclinical arena.</p>
Dataset for "Doped and structured silica optical fibres for fibre laser sources"
<p>The dataset represents the experimental data for publication "Doped and structured silica optical fibres for fibre laser sources."</p>
Data from: Direct visualization of a static incommensurate antiferromagnetic order in Fe-doped Bi2Sr2CaCu2O8+δ
<p>This database contains all the necessary data of the manuscript "Direct visualization of a static incommensurate antiferromagnetic order in Fe-doped Bi<sub>2</sub>Sr<sub>2</sub>CaCu<sub>2</sub>O<sub>8+δ</sub>". Compared to the previous version (https://doi.org/10.5281/zenodo.5558592), the data of Figure S13B and Figure S13D are exchanges.</p> <p><strong>Abstract of the manuscript</strong></p> <p>In cuprate superconductors, due to strong electronic correlations, there are multiple intertwined orders which either coexist or compete with superconductivity. Among them, the antiferromagnetic (AF) order is the most prominent one. In the region where superconductivity sets in, the long-range AF order is destroyed. Yet the residual short-range AF spin fluctuations are present up to a much higher doping, and their role in the emergence of the superconducting phase is still highly debated. Here, by using a spin-polarized scanning tunneling microscope, we directly visualize an emergent incommensurate AF order in the nearby region of Fe impurities embedded in the optimally doped Bi<sub>2</sub>Sr<sub>2</sub>CaCu<sub>2</sub>O<sub>8+δ</sub> (Bi2212). Remarkably, the Fe impurities suppress the superconducting coherence peaks with the gapped feature intact, but pin down the ubiquitous short-range incommensurate AF order. Our work shows an intimate relation between antiferromagnetism and superconductivity.</p>
Dataset for "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester"
<p>Dataset including all data used for the elaboration of the work "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester" published in Advanced Materials Technologies, 2022</p> <p><a href="https://doi.org/10.1002/admt.202101715">https://doi.org/10.1002/admt.202101715</a></p> <p>The files includes:</p> <p>· INDIVIDUAL NW data:</p> <p> - I-V data of each NW at different temperatures</p> <p> - 3w data of each NW at different temperatures<br> - 4 SEM images of the NW, each of them used for assessing one NW parameter<br> - Tip: NW diameter 2<br> - Base: NW diameter 1<br> - Overall: NW length<br> - Tilted view at 45º: Relative NW heigh over substrate</p> <p>· SEEBECK MEASUREMENT data:</p> <p> - Voc versus applied dT data for each substrate temperature<br> - File containig calibration data for all resistors</p> <p>· TEM data:</p> <p>-TEM images of the studied NWs in .dm3 format.</p> <p>· X-RAY FLUORESCENCE data:</p> <p>- Maps containing one energy spectrum per pixel in .hdf files.</p> <p>· TIP-ENHANCED RAMAN SPECTROSCOPY data:</p> <p>- Maps containing one energy spectrum per pixel in a tabulated .txt file.</p> <p>· POWER HARVESTED data:</p> <p>- IV curves of each microthermocouple connection X-Y upon different substrate temperatures in tabulated separated .txt files</p>
Cu-doping effects on the ferromagnetic semimetal CeAuGe
<p>Dataset for the Journal article entitled "Cu-doping effects on the ferromagnetic semimetal CeAuGe"</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.