license	cc0-1.0
task_categories	feature-extraction time-series-forecasting
tags	disasters aviation maritime weather seismic geospatial united-states safety
size_categories	10K<n<100K
dataset_info	features splits name dtype category string name dtype latitude float64 name dtype longitude float64 name dtype name string name dtype date string name dtype subcategory string name dtype magnitude float64 name dtype fatalities int64 name dtype injuries int64 name dtype damage string name dtype state string name dtype aircraft_type string name dtype event_id string name dtype vessel_type string name dtype depth_km float64 name num_examples train 48592

US Disasters Mashup

48,592 disaster events pulled from four US government databases into one flat JSON file. Plane crashes, shipwrecks, tornadoes, earthquakes -- all geocoded and categorized.

What's In It

Category	Records	Source	Date Range
Aviation Accidents	26,427	NTSB	1974-2018
Severe Storms	14,770	NOAA Storm Events	1950-2025
Earthquakes	3,742	USGS	2020-2025
Shipwrecks	3,653	NOAA AWOIS	Historical (1600s-1970s)

Fields

Every record has core fields (category, latitude, longitude, name, date, subcategory). Additional fields depend on the category:

Field	Coverage	Which Categories
category	100%	All
latitude / longitude	100%	All
name	100%	All -- event description or location
subcategory	100%	Tornado, Flash Flood, seismic, maritime, aviation, etc.
date	94%	All except some historical shipwrecks
aircraft_type	59%	Aviation only
event_id	59%	Aviation only (NTSB event IDs)
magnitude	20%	Storms (Fujita/EF scale) + Earthquakes (Richter)
fatalities	27%	Storms
injuries	27%	Storms
damage	26%	Storms (text format: "250K", "1.5M")
state	27%	Storms
vessel_type	<1%	Shipwrecks (sparse)

Example Records

Storm:

{
  "category": "storm",
  "latitude": 34.88,
  "longitude": -99.28,
  "name": "Tornado in OKLAHOMA, KIOWA",
  "date": "1950-04-28",
  "subcategory": "Tornado",
  "magnitude": "0",
  "fatalities": "1",
  "injuries": "1",
  "damage": "250K",
  "state": "OKLAHOMA"
}

Aviation:

{
  "category": "aviation_accident",
  "latitude": 20.000833,
  "longitude": -155.6675,
  "name": "Aviation Accident - SCHLEICHER ASH25M",
  "date": "2012-01-01",
  "subcategory": "aviation",
  "aircraft_type": "SCHLEICHER ASH25M",
  "event_id": "20121010X84549"
}

Known Quirks

A few things worth knowing if you're working with this data:

• Aviation dates are year-only. Aviation records show YYYY-01-01. The actual dates are embedded in the event IDs (e.g., 20121010X84549 = Oct 10, 2012) but the date field just has the year.
• Earthquake dates are ISO format (YYYY-MM-DD), converted from Unix timestamps.
• Aviation records are deduplicated on event_id (5,983 duplicates removed from source overlaps).
• Coordinates extend beyond CONUS. Some records are in Hawaii, Alaska, territories, or international waters. Expected for aviation and maritime data.
• depth_km is always null. The field exists in the schema but was never populated.

Loading

import json

with open("disasters_mashup.json") as f:
    disasters = json.load(f)

# Filter by category
storms = [d for d in disasters if d["category"] == "storm"]
aviation = [d for d in disasters if d["category"] == "aviation_accident"]

# Deduplicate aviation (optional)
seen = set()
unique_aviation = []
for d in aviation:
    if d.get("event_id") not in seen:
        seen.add(d.get("event_id"))
        unique_aviation.append(d)

Sources

All public domain, from US government agencies:

• NTSB Aviation Safety Data
• NOAA AWOIS Wrecks & Obstructions
• NOAA Storm Events Database
• USGS Earthquake Hazards

Where to Get It

• GitHub: lukeslp/us-disasters-mashup
• HuggingFace: lukeslp/us-disasters-mashup
• Kaggle: lucassteuber/us-disasters-mashup
• Demo Notebook: Jupyter on GitHub Gist

License

CC0 1.0 (Public Domain). All source data comes from US government agencies.

Author

Luke Steuber

• Website: lukesteuber.com
• Bluesky: @lukesteuber.com

Citation

@dataset{steuber2026disasters,
  title={US Disasters Mashup},
  author={Steuber, Luke},
  year={2026},
  publisher={GitHub/HuggingFace/Kaggle},
  url={https://github.com/lukeslp/us-disasters-mashup}
}

Structured Data (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "US Disasters Mashup",
  "description": "54,575 disaster events from four US government databases (NTSB aviation accidents, NOAA shipwrecks, NOAA severe storms, USGS earthquakes) unified into a single geocoded JSON file.",
  "url": "https://github.com/lukeslp/us-disasters-mashup",
  "sameAs": [
    "https://huggingface.co/datasets/lukeslp/us-disasters-mashup",
    "https://www.kaggle.com/datasets/lucassteuber/us-disasters-mashup"
  ],
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
  "creator": {
    "@type": "Person",
    "name": "Luke Steuber",
    "url": "https://lukesteuber.com"
  },
  "keywords": ["disasters", "aviation accidents", "shipwrecks", "storms", "earthquakes", "geospatial", "united states"],
  "temporalCoverage": "1600/2025",
  "spatialCoverage": {
    "@type": "Place",
    "name": "United States"
  },
  "distribution": [
    {
      "@type": "DataDownload",
      "encodingFormat": "application/json",
      "contentUrl": "https://github.com/lukeslp/us-disasters-mashup"
    }
  ]
}