Experimental Data for Ruthenium Single-Atom Hydrogen Sulfide Gas Sensors

Ke Li published this dataset on figshare in April 2026. The 26.2 MB XLSX file contains data supporting research into surface activity tuning for gas sensors. The work is described as offering a route for sensors in environmental monitoring and non-invasive health diagnostics.

Use Cases

• Training models to correlate sensor material properties with performance based on the described single-atom engineering approach.
• Benchmarking new gas sensor designs against the high-performance metrics suggested in the description.
• Developing diagnostic tools for non-invasive health monitoring based on the exhaled hydrogen sulfide sensing concept.

Strengths

• Dataset is 26.2 MB in size, indicating a substantive amount of experimental data.
• Published under a permissive CC-BY-4.0 license, allowing for broad reuse and modification.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and structure require verification.

Provenance

Source

figshare

Freshness

Last updated 2026-04-23 09:46:50; freshness should be verified.