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- Data for: Equivalent Circuit Model Recognition of Electrochemical Impedance Spectroscopy via Machine Learning1. EIS-Data.csv: The original EIS is extracted from the literature and discretized into readable data points. All these EIS come from electrochemical energy storage devices, especially lithium-ion batteries and supercapacitors. 2. Test-Data-Prob.csv: The probability for each model type samples in test data.
- Dataset
- Data for: Electrochemical characteristic and stress corrosion behavior of API X70 high-strength pipeline steel under a simulated disbonded coating in an artificial seawater environmentData for: Electrochemical characteristic and stress corrosion behavior of API X70 high-strength pipeline steel under a simulated disbonded coating in an artificial seawater environment
- Dataset
- Data for: Self-powered electrochromic sensing for visual determination of PSA in serum using PB as an indicatorFigures, tables and supplementary materials.
- Dataset
- Data for: Direct self-assembly of CuHCF-PPy nanocomposites on rGO for amperometric nicotine sensing at high concentration rangeThese are some processed data. Other data available upon request.
- Dataset
- Calculating steady-state currents of planar interdigitated electrode arrays in shallow cellsCalculation and plots of steady-state voltammograms, currents, current densities and concentration profiles at shallow electrochemical cells with embedded interdigitated electrode arrays.
- Software/Code
- In-situ FTIR spectroscopy investigation of carbon-supported PdAuNiRaw data describing electrochemical testing and characterisation of PdAuNi catalysts for electrochemical applications
- Dataset
- In-situ FTIR spectroscopy investigation of carbon-supported PdAuNiRaw data describing electrochemical testing and characterisation of PdAuNi catalysts for electrochemical applications
- Dataset
- CCDC 1583103: Experimental Crystal Structure DeterminationRelated Article: Ling-Yan Pang, Ping Wang, Jiao-Jiao Gao, Yu Wen, Hui Liu|2019|J.Electroanal.Chem.|836|85|doi:10.1016/j.jelechem.2019.01.067
- Dataset
- CCDC 1577967: Experimental Crystal Structure DeterminationRelated Article: Nelson Nuñez-Dallos, Mario A. Macías, OlimpoGarcía-Beltrán, Jorge A. Calderón, Edgar Nagles, John Hurtado|2018|J.Electroanal.Chem.|822|95|doi:10.1016/j.jelechem.2018.05.017
- Dataset
- CCDC 1546103: Experimental Crystal Structure DeterminationAn entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
- Dataset
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