Raw STM Time Series and Code for Molecular Diffusion Bursty Dynamics

Six raw tunnel current time series files, totaling 4.9 GB, acquired via a National Instruments analog-to-digital card and ScientaOmicron VT STM. The repository includes Jupyter notebooks and Python modules for analysis and kinetic Monte Carlo simulations, authored by Philip Moriarty and last updated in April 2026. The data was used to generate residence and interpeak time distributions for a study on bursty dynamics in molecular diffusion.

Use Cases

• Analyzing residence time distributions based on raw tunnel current time series.
• Simulating molecular diffusion and bursty dynamics using the provided kinetic Monte Carlo code.
• Reproducing figures from the associated paper using the Jupyter notebooks for data loading and plotting.

Strengths

• Includes raw experimental data files (4.9 GB) from a scanning tunneling microscope.
• Provides complete analysis and simulation code in Jupyter notebooks and Python modules.
• Associated with a peer-reviewed scientific publication, providing context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is stored in a proprietary LabVIEW binary format (DAT), requiring specific tools for initial access.

Provenance

Source

Philip Moriarty via figshare.

Collection Method

Raw time series data acquired with a National Instruments analog-to-digital card and ScientaOmicron VT STM.

Freshness

Last updated 2026-04-16 11:11:26; freshness should be verified.