Transient Microscopy Data on Exciton Diffusion in Tungsten Diselenide

A dataset from Dataverse provides analysis of anomalous exciton diffusion in bulk tungsten diselenide (WSe2) using transient scattering microscopy. The full dataset consists of three complementary subsets: power-dependent measurements, repetition-rate-dependent measurements, and results from numerical simulations. The data was collected by author Ferry Prins using custom Python code and was last updated on December 21, -2025.

Use Cases

• Modeling exciton diffusion dynamics based on kurtosis parameter analysis mentioned in the description
• Investigating the effects of carrier density on exciton populations based on power-dependent measurements
• Analyzing the role of laser repetition rates on diffusion behavior while keeping fluence constant
• Validating numerical simulations of exciton trapping and multi-population coexistence against experimental data

Strengths

• Dataset includes three complementary experimental and simulation subsets for cross-validation
• Analysis is supported by custom, openly available Python code on GitHub
• All data was collected from the same WSe2 flake, controlling for material variability

Limitations

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

Provenance

Source

Dataverse via e-cienciaDatos Harvested Dataverse

Collection Method

Data acquisition was done using custom Python code; analysis performed with custom code available on GitHub.

Time Range

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Freshness

Last updated 2025-12-21 05:10:10; freshness should be verified

Geography

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