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Bermuda Triangle Incidents (1980–2025)

@kaggle.sarcasmos_bermuda_triangle_incidents_19802025

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Simulated Maritime and Aviation Incidents in the Bermuda Triangle (1980–2025)

📖 Context

Publicly available records of maritime and aviation incidents within the Bermuda Triangle are fragmented, inconsistent, and incomplete—particularly when spanning multiple decades. This dataset was created to support exploratory data analysis, machine learning experimentation, risk modeling, and anomaly detection in scenarios where comprehensive historical data is unavailable.

The dataset covers the period 1980 to 2025 and represents simulated air and sea incidents occurring within the commonly referenced geographic boundaries of the Bermuda Triangle.

🧪 Methodology

This dataset is synthetic but distribution-based, meaning the data was generated using statistical patterns derived from publicly available real-world sources, including:

  • Maritime incident frequency and outcomes
  • Aviation accident distributions
  • Atlantic hurricane seasonality
  • Shipping lane and flight density patterns
  • Weather–outcome correlations

Rather than using uniform random values, the generator applies:

  • Non-uniform temporal distributions
  • Seasonal weather effects
  • Correlated incident outcomes
  • Geospatial clustering consistent with known traffic corridors

This approach produces data that is statistically realistic while remaining clearly labeled as simulated.

🧾 Features

The dataset contains 5,000 records with 16 structured columns, including:

  • Incident date and year
  • Incident type and category (air/sea)
  • Geographic coordinates (latitude/longitude)
  • Weather conditions and suspected causes
  • Incident outcomes and casualty estimates
  • Search duration and reporting authority
  • Confidence level and metadata indicators

All records include a data type label indicating that the entries are simulated.

📚 Intended Use Cases

This dataset is suitable for:

  • Exploratory Data Analysis (EDA)
  • Time-series modeling
  • Anomaly and rare-event detection
  • Geospatial clustering
  • Risk assessment models
  • ML pipeline prototyping
  • Educational and academic projects

⚠️ Note: Not intended for historical verification or factual claims about specific incidents.

🔍 Data Sources & Inspiration

While the records themselves are simulated, the statistical assumptions and distributions were informed by publicly available references such as:

  • US Coast Guard maritime safety statistics
  • FAA / NTSB aviation accident summaries
  • NOAA Atlantic hurricane and weather data
  • Curated summaries of notable Bermuda Triangle incidents

Links to these sources can be found in the dataset references section.

⚖️ License & Ethics

This dataset is provided for research, educational, and experimental use only. It does not represent verified historical records and should not be used for operational, legal, or navigational decision-making.


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