Twitter and Google Trend Data on Heat Waves in India, 2010-2017

India-focused data on public discourse around heat waves from 2010 to 2017. The dataset contains lists and daily counts of tweets for keywords 'heat wave india' and 'heatwave india', alongside monthly Google Trends data for related search terms limited to India. It was compiled by Francesca Cecinati of the University of Bath using the GetOldTweets Python package and Google Trends.

Use Cases

• Analyze temporal patterns of public concern about heat waves based on daily tweet counts.
• Correlate social media activity with search interest based on monthly Google Trends data.
• Study the evolution of online discourse around climate events in India over an eight-year period.

Strengths

• Covers an eight-year time range from 2010 to 2017.
• Combines two distinct data sources: Twitter posts and Google Trends.
• Focuses on a specific geographic region (India) and event type (heat waves).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Twitter via GetOldTweets-python and Google Trends.

Collection Method

Data gathered using the GetOldTweets Python package and scraped from the Google Trends webpage.

Time Range

2010-2017

Geography

India