Electrochemical and Physiochemical Data for Sodium-Deficient Manganese Phosphate Cathodes

Lalit Bharti published a dataset on figshare in 2026 containing raw data for electrochemical and physiochemical analysis of battery cathodes. The 267.9 MB collection includes data from techniques like GCD, CV, XRD, TEM, SEM, XPS, TOF-SIMS, and Auger spectroscopy, along with pouch-cell performance demonstrations. File formats include CSV, MP4, CIF, EMF, JPG, TIF, OPJU, and PNG.

Use Cases

• Training models to predict battery cycling performance based on electrochemical data like GCD and CV.
• Analyzing material structure-property relationships using physiochemical data from XRD, TEM, and SEM.
• Correlating surface chemistry from XPS and Auger spectroscopy with electrochemical metrics.
• Benchmarking pouch-cell performance against material characterization data.

Strengths

• Dataset size is 267.9 MB, indicating a substantial collection of raw data files.
• Includes data from multiple complementary characterization techniques (XRD, TEM, SEM, XPS, TOF-SIMS, Auger).
• Contains multimodal data such as demonstration videos (MP4) and images alongside tabular (CSV) and instrument-specific formats.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Data collected from electrochemical techniques and material characterization instruments as part of battery cathode research.

Freshness

Last updated 2026-05-22 02:32:41; freshness should be verified.