Climate Change, Electricity Consumption, and Digital Finance Data for Machine Learning

142.4 KB of data and code supporting research on the nonlinear relationship between climate change and electricity consumption. The dataset, authored by Yue Ji and released under an MIT license, includes files in DOCX and XLSX formats. It was last updated on April 19, 2026, and is hosted on figshare.

Use Cases

• Modeling nonlinear relationships between climate change and electricity consumption based on the described research focus.
• Analyzing the mediating role of digital finance in climate adaptation strategies as suggested by the title.
• Reproducing or extending machine learning analyses from the associated research paper using the provided code and data.

Strengths

• Data and supporting code are bundled together, facilitating reproducibility.
• Released under a permissive MIT license, allowing for broad reuse and modification.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 142.4 KB, indicating a limited scope of data points.

Provenance

Source

figshare, authored by Yue Ji.

Freshness

Last updated 2026-04-19 14:46:25