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.
64
datasets available to search
ShareScore release 0.9.0
Dataset results
64 results for “Cathode”
Dataset: New insights into the corrosion of orthopedic Ti-6Al-4V under cathodic polarization
<p><strong>Title: New insights into the corrosion of orthopedic Ti-6Al-4V under cathodic polarization </strong><br>Authors: Agata Sotniczuk, Baojie Dou, Chenyang Xie, Junhui Tang, Damian Kalita, Witold Chromiński, Halina Garbacz, Fan Sun, Kevin Ogle<br><strong>Corresponding Author: Agata Sotniczuk ORCID: 0000-0002-3468-0468</strong></p> <p>This record contains files generated in the preparation process of the following publication:<br>New insights into the corrosion of orthopedic Ti-6Al-4V under cathodic polarization <br>Agata Sotniczuk, Baojie Dou, Chenyang Xie, Junhui Tang, Damian Kalita, Witold Chromiński, Halina Garbacz, Fan Sun, Kevin Ogle submitted to Corrosion Science (Elsevier)</p> <p><strong>This research was funded in whole by National Science Centre, Poland [2023/48/C/ST11/00085]: Sonatina 7 grant.</strong></p> <p>Designations: <br>PBS: Phosphate buffer saline solution<br>PDP: Potentiodynamic Polarization<br>PSP: Potentiostatic Polarization<br>ICP-AES: Inductively coupled plasma atomic emission spectrometer<br>OCP: Open Circuit Potential<br>SEM: Scanning electron microscope<br>TEM: Transmission electron microscope<br>EDS: Energy dispersive spectroscopy</p> <p>General remarks: Conditions of OCP, PDP and PSP tests: 1)Values of electrochemical potentials were measured vs. saturated calomel electrode (SCE); 2)Tests were performed at room temperature (23 Celsius degrees), 4) Tests were performed in a flow cell and the flowing rate of solution was 1 ml/min</p> <p>Files formats: Raw data and calculated results of OCP, PDP and PSP tests: .csv and .xls. SEM micrographs: .tif. TEM micrographs, EDS maps: .jpg. EDS chemical distribution: csv. and .xls.</p> <p><strong>Content of data files is described in details in README_CorrSci2024.txt file</strong></p> <p><strong>DOI: 10.5281/zenodo.12727325</strong></p> <p><strong>Data are published under Creative Commons Zero v1.0 Universal (CC0) license</strong></p> <p><strong>How to cite Dataset:</strong> Sotniczuk, A., Dou, B., Xie, C., Tang, J., Kalita, D., Chromiński, W., Garbacz, H., Sun, F., & Ogle, K. (2024). Dataset: New insights into the corrosion of orthopedic Ti-6Al-4V under cathodic polarization [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12727325</p>
Metadata - Tetrathiafulvalene-based covalent organic framework as high-voltage organic cathodes for lithium batteries
Open the record for dataset details and reuse information.
Dataset for 2D Rhenium- and Niobium-Doped WSe2 Photoactive Cathodes in Photo-Enhanced Hybrid Zn-Ion Capacitors
<p>The dataset contains all relevant data and figures regarding the manuscript "2D Rhenium- and Niobium-Doped WSe2 Photoactive Cathodes in Photo-Enhanced Hybrid Zn-Ion Capacitors".</p> <p>All Figures are in tiff format and all relevant data are in csv formats. </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.). </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>
3 MeV Proton Ion beam analysis of NCA/Si anode-cathode mapping
<p><span>The dataset presents 2140 ion-beam-analysis (IBA) measurements of a NCA cathode and a Si/G anode using 2970+-20 keV protons. Figure 1 shows an example of the result. The anode and cathode foils were cycled in a full liquid electrolyte cell for 340 cycles and analysed in the state-of-charge =0. The cell consisted of 20 cathode and 20 anode layer from which 2 cathode and 2 anode layers from the top (KT, AT) and middle (AM, KM) were extracted for IBA. For practical reasons each of the 110x80 mm² foils was cut into 9 equal parts. Four detectors acquire the data simultaneously for RBS, NRA, PIGE, and PIXE. The description of the end-station and detectors can be found here: </span><span><a href="https://doi.org/10.3390/instruments5010010"><span>https://doi.org/10.3390/instruments5010010</span></a></span><span>. </span></p> <p><span>Each point on the sample consists of 4 files, four detector spectra. The filename consists of the sample name, three positions in units of nm (X, Y, Z), a rotation in units of µ° followed by an underscore ( _ ) and the type of data contained in the file (RBS, NRA, PIXE, PIGE, or Meta). Only X and Z positions are relevant in this case as indicated in the attached figure.</span></p> <p><span>The RBS, NRA, and PIGE detector files contain a header specifying the dead- and live-time followed by two columns. The first column represents the digital channel of the detector. The second column represents the counts acquired in this channel. This format is readable as ASCI by SimNRA7. SimNRA 7 reference evaluations are included in the dataset. The PIXE file contains the number of channels in the first row/header and only the counts in the subsequent rows. The channel is given by the row number. This format is readable by GUPIXWIN3. Example GUPIXWIN files are included</span></p> <p><span>The channels of the detector files can be re-calculated using a calibration shown in the following table 1. Certain drifts in the calibrations are possible, but should be limited to below 2% of the given value. All points are integrated to the same ion dose of 2 µC. This corresponds to a Particle*Sr of about 5.0E+10 (RBS detector), 5.4E+11 (NRA).</span></p> <p><span>Table </span><span><span>1</span></span><span>: Detector calbration enabling a recalculation of channels to energy. Units are in keV</span></p> <table> <tbody> <tr> <td> <p><span>Detector</span></p> </td> <td> <p><span>Linear (multiply with channel)</span></p> </td> <td> <p><span>Offset (add to first result)</span></p> </td> </tr> <tr> <td> <p><span>RBS</span></p> </td> <td> <p><span>2.8</span></p> </td> <td> <p><span>10</span></p> </td> </tr> <tr> <td> <p><span>NRA</span></p> </td> <td> <p><span>5.5</span></p> </td> <td> <p><span>10</span></p> </td> </tr> <tr> <td> <p><span>PIXE</span></p> </td> <td> <p><span>0.184</span></p> </td> <td> <p><span>1.5</span></p> </td> </tr> <tr> <td> <p><span>PIGE</span></p> </td> <td> <p><span>0.85</span></p> </td> <td> <p><span>0</span></p> </td> </tr> </tbody> </table> <p> </p> <p> </p>
Dataset of "Thermal Stability of Valuable Metals in Lithium-Ion Battery Cathode Materials: Temperature Range 500-800 °C"
<p>Examination of the cathode part of a lithium-ion battery, which is composed of NMC spinel 622 (LiNi0.6Mn0.2Co0.2O2), and investigation of its stability during annealing at temperatures ranging from 500-800 °C. Determination of valuable metals (Li, Ni, Mn and Co) after exposure to temperatures from 500 to 800 °C using ICP-OES analysis. The correlation between element stability and the temperature of PVDF release, a binder in cathodes, was demonstrated by DTA. SEM-EDS performed local chemical analysis. XRD characterised the crystalline structures of the original material and changes after annealing at 800 °C. This work builds on Part I, which focusses on the thermal stability of the material in lower temperature ranges. This research aimed to gain a deeper understanding of the pyrometallurgical aspect of the recycling process and identify the ideal annealing temperature for maximising the recovery of valuable metals. </p>
Dataset associated to paper: Nanoscaffold effects on the performance of air-cathodes for microbial fuel cells: Sustainable Fe/N-carbon electrocatalysts for the oxygen reduction reaction under neutral pH conditions
<p>This file contains the dataset associated to the published research article "Nanoscaffold effects on air-cathode performance in microbial fuel cells: Fe/N-carbon electrocatalysts for the oxygen reduction reaction under neutral pH conditions". The dataset contains X-ray powder diffraction, Inductively Coupled Plasma Emission Spectroscopy, elemental analysis, measurements of the specific surface area, transmission electron microscopies, x-ray photoelectron microscopy, electrochemistry and microbial fuel cells power outputs data from their relative instruments. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreements No. 799175 (HiBriCarbon) and No. 748968 (EDGE-FREEMAB). The results of this publication reflect only the authors' view and the Commission is not responsible for any use that may be made of the information it contains. This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. SI kindly acknowledges support by the Department of Social Justice State Government of Maharashtra, India. </p>
Dataset for: Exploring Battery Cathode Materials in the Li-Ni-O Phase Diagrams using Structure Prediction
<p>The Li-Ni-O phase diagram contains several electrochemically active ternary phases. Many compositions and structures in this phase space can easily be altered by (electro-)chemical processes, yielding many more (meta-)stable structures with interesting properties. In this study, we use<em> ab initio </em>random structure searching (AIRSS) to accelerate materials discovery of the Li-Ni-O phase space. We demonstrate that AIRSS can efficiently explore structures (e.g. LiNiO<sub>2</sub>) displaying dynamic Jahn-Teller effects. A thermodynamically stable Li<sub>2</sub>Ni<sub>2</sub>O<sub>3</sub> phase which reduces the thermodynamic stability window of LiNiO<sub>2</sub> was discovered. AIRSS also encountered many dynamically stable structures close to the convex hull. Therefore, we confirm the presence of metastable Li-Ni-O phases by revealing their structures and properties. This work will allow Li-Ni-O phases to be more easily identified in future experiments and help to combat the challenges in synthesizing Li-Ni-O phases.</p> <p>This dataset contains the raw research data and key analysis files for "Exploring Battery Cathode Materials in the Li-Ni-O Phase Diagrams using Structure Prediction". </p> <ul> <li>`known_phases_aiida_data.zip` and `new_phases_exports.aiida.zip` contain the archives exported from the <a href="https://www.aiida.net">AiiDA framework</a> which was used to perform parts of the DFT calculations for this project. </li> <li>`search_data.zip` contains search seed files and the structures generated by the searches.</li> <li>`data_analysis.zip` contains the data and notebooks to reproduce the figures and tables shown in the manuscript.</li> </ul>
Direct Current Cathode and Anode Effects and Changes in Handgrip Strength. Evaluation Through a Dynamometer Test
ClinicalTrials.gov study NCT02884427. IPD Sharing: NO. Countries: 1. Publications: 11.
Data from: Catalytic promotion of transition-metal-doped graphene cathodes in Li-CO<sub>2</sub> batteries
Open the record for dataset details and reuse information.
Dataset for: "Dipentamethylene Thiuram Tetrasulfide Based Cathodes for Rechargeable Magnesium Batteries"
<p>Dataset for computational contributions to paper with DOI: 10.1021/acsaem.0c01655</p> <p>data-structure: </p> <p>.<br> ├── bondstrengths<br> │ ├── 1<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output -> ../../7/right/output/<br> │ ├── 2<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right_quasi_newton<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 3<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 4<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 5<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 6<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ └── 7<br> │ ├── left<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ └── right<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> └── other<br> ├── MgPMDTC2<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> ├── Mg_atom<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> ├── PMTT<br> │ ├── output_HOMO_LUMO_isosurface<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ ├── PARCHG.0057.ALLK<br> │ │ ├── PARCHG.0058.ALLK<br> │ │ ├── POSCAR<br> │ │ └── PROCAR<br> │ └── output_geometric_relaxation<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ ├── POSCAR<br> │ └── PROCAR<br> └── S2<br> └── output<br> ├── CONTCAR<br> ├── INCAR<br> ├── KPOINTS<br> ├── OUTCAR<br> └── POSCAR</p> <p>46 directories, 94 files</p>
Dataset of article : A phenazine-based conjugated microporous polymer as high performing cathode for aluminium-organic batteries
<p>Data used for preparation of the article : A phenazine-based conjugated microporous polymer as high performing cathode for aluminium-organic batteries</p><p> Abstract of article: </p><p>Here, we present one of the first examples of a phenazine-based hybrid microporous polymer, referred to as IEP-27-SR, utilized as an organic cathode in an aluminium battery with an AlCl3-EMIMCl ionic liquid electrolyte. The preliminary redox and charge storage mechanism of IEP-27-SR was confirmed by ex situ ATR-IR and EDS analyses. The introduction of phenazine active units in a robust microporous framework resulted in a remarkable rate-capability (specific capacity of 116 mAh g-1 at 0.5C with 77% capacity retention at 10C) and notable cycling stability, maintaining 75% of their initial capacity after 3440 charge-discharge cycles at 1C (127 days of continuous cycling). This superior performance compared to reported Al//n-type organic cathode RABs is attributed to the stable 3D porous microstructure and the presence of micro/mesoporosity of IEP-27-SR, which facilitates electrolyte permeability and improves kinetics.</p>
Data from: "Navigating through Complexity: Optimizing Cathodes for Organic Electrohydrogenation through Coherent Workflows"
<p>The data used in "<strong>Navigating through Complexity: Optimizing Cathodes for Organic Electrohydrogenation through Coherent Workflows</strong>". </p>
A Stable High-Potential Na7V4(P2O7)4(PO4) Cathode for Sodium-Ion Batteries Developed from a Water-Based Slurry
<p>These are the corresponding raw data related to the publication:</p> <p>A Stable High-Potential Na7V4(P2O7)4(PO4) Cathode for Sodium-Ion Batteries Developed from a Water-Based Slurry</p> <p> </p> <p>Ruihao Gong,<sup>+a</sup> Fabio Maroni,<sup>+a</sup> Mario Marinaro<sup>*a</sup></p> <p> </p> <p><sup>a</sup>Zentrum für Sonnenenergie- und Wasserstoff- Forschung, Baden-Württemberg (ZSW)</p> <p>Helmholtzstraße 8 - 89081 Ulm, Germany</p> <p> </p> <p><sup>+</sup>: The authors contribute equally to this study.</p> <p>*: Corresponding: <a href="mailto:mario.marinaro@zsw-bw.de">mario.marinaro@zsw-bw.de</a></p> <h3> </h3>
Dataset of "Influence of the used solvent on the efficiency of the extraction of cathode materials for direct recycling"
<p>Lithium-ion batteries are playing an increasingly significant role in modern mobility and energy storage. Their increasing quantity and the limited amount of material resources available on earth will place great demands on the most efficient recycling in the future. In this paper, we focused on the first stage of the so-called direct recycling, i.e. the extraction of electrode material from the current collector, using six types of solvents in combination with three types of the most commonly used cathode materials in lithium-ion batteries. Three selected lithium-ion batteries were aged for 500 cycles and disassembled for the next step - cathode material extraction. The extraction was carried out by a method that is least energy intensive, cost effective and preserves the structural stability of the cathode materials after extraction. Of the used solvents, Dimethylacetamide (DMAC) was found to be the most effective solvent for the extraction. At the same time, Dimethylsulfoxide (DMSO) was the most effective solvent in terms of solvents considered to be biologically harmless. The study also included an analysis of the degradation of the cathode materials after their extraction from the current collector. It was found that all materials remained stable even one month after the extraction.</p>
Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single crystal Cathode materials during degradation process
<p>Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single-crystal Cathode materials during the degradation process</p>
Supporting Data for: Resolving high potential structural deterioration in Ni-rich layered cathode materials for lithium-ion batteries operando
<p>The following file contains supporting data for "Resolving high potential structural deterioration in Ni-rich layered cathode materials for lithium-ion batteries operando" manuscript.</p>
Contact angle measurements of cathode A and cathode B after cleaning with DMC followed by sonication in a mixture of water and detergent.
<p><span>Enhancing recycling processes for end-life photovoltaic panels and spent</span><span> Li-Ion</span><span> batteries through LIBS-based component identification </span></p> <p>Agnieszka Królicka, Anna Maj, Grzegorz Łój, Department of Building Materials Technology, Faculty of Materials Science and Ceramics, AGH University of Krakow, Mickiewicza 30, 30-059 Krakow, Poland</p>
Data Set: "From structure to electrochemistry: The Influence of Transition Metal Ordering on Na+/vacancy Orderings in P2-type NaxMO2 Cathode Materials for Sodium-Ion Batteries"
<p>This is the data set associated with the following publication: <strong>From structure to electrochemistry: The Influence of Transition Metal Ordering on Na+/vacancy Orderings in P2-type NaxMO2 Cathode Materials for Sodium-Ion Batteries,</strong> Lukas Fridolin Pfeiffer, Manuel Dillenz, Nora Burgard, Premysl Beran, Daniel Roscher, Maider Zarrabeitia, Paul Drews, Charles Hervoches, Daria Mikhailova, Ahmad Omar, Volodymyr Baran, Neelima Paul, Mohsen Sotoudeh, Michael Busch, Margret Wohlfahrt-Mehrens, Axel Groß, Stefano Passerini, Peter Axmann<em>, Journal of Materials Chemistry A, 2024, DOI: 10.1039/d4ta04786a<br></em></p> <p>The data set is organised along the figures of the publication.</p>
Exothermal data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)
<p>Data of safety investigation and thermal abuse behavior of commercial type 21700 LIB cells is provided.</p> <p>It has been acquired with Accelerating Rate Calorimetry (ARC), using a Thermal Hazard Technology type ES ARC.</p> <p>Moreover, thermal abuse was done by means of the so-called Heat-Wait-Seek (HWS) test, at different states of charge (SOC) from 0 to 100.</p> <p>Different cathode chemistries are compared (NMC, NCA and LFP), as well as for NCA chemistry, the high energy (HE) and high power (HP) cell design.</p> <p>For each cell, data includes the exothermal behavior of the cells, which is recorded only when the cell is behaving exothermally in the ARC, above a threshold of 0.02 °C / min.</p> <p>Hence, in the files, time in minutes, temperature on the surface at the center of the cell in °C and the registered temperature rate in °C / min is provided. Cathode chemistry, as well as SOC, is indicated in the file name, each set of parameters has been tested at least twice with another cell, which is indicated with M and consecutive numbering of the test number.</p> <p>This data is supporting this article in the journal Batteries:</p> <p><a href="https://doi.org/10.3390/batteries9050237">https://doi.org/10.3390/batteries9050237</a></p> <p>Additional supporting material to this article are the maximum temperatures for thermal abuse, that are published here:</p> <p><a href="https://doi.org/10.5281/zenodo.7867730">https://doi.org/10.5281/zenodo.7867730</a></p> <p> </p> <p> </p>
Analgesic Effect of Cathodal tDCS Over Right DLPFC in Subjects With Muscular TMD: a Double Blind Crossover RCT
ClinicalTrials.gov study NCT02152267. IPD Sharing: YES. Countries: 1. Publications: 1.
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.