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Datasets:
lukeslp
/
noaa-significant-storms

Tasks:
Feature Extraction
Modalities:
Geospatial
Languages:
English
Size:
10K<n<100K
Tags:
weather
storms
tornadoes
hurricanes
natural-disasters
noaa
License:
Dataset card Files
xet
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
title: string
id: string
licenses: list<item: struct<name: string>>
  child 0, item: struct<name: string>
      child 0, name: string
subtitle: string
description: string
isPrivate: bool
keywords: list<item: string>
  child 0, item: string
latitude: null
longitude: null
name: null
category: null
date: null
event_type: null
magnitude: null
injuries: null
fatalities: null
damage_property: null
state: null
to
{'latitude': Value('float64'), 'longitude': Value('float64'), 'name': Value('string'), 'description': Value('string'), 'category': Value('string'), 'date': Value('string'), 'event_type': Value('string'), 'magnitude': Value('string'), 'injuries': Value('int64'), 'fatalities': Value('int64'), 'damage_property': Value('float64'), 'state': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              title: string
              id: string
              licenses: list<item: struct<name: string>>
                child 0, item: struct<name: string>
                    child 0, name: string
              subtitle: string
              description: string
              isPrivate: bool
              keywords: list<item: string>
                child 0, item: string
              latitude: null
              longitude: null
              name: null
              category: null
              date: null
              event_type: null
              magnitude: null
              injuries: null
              fatalities: null
              damage_property: null
              state: null
              to
              {'latitude': Value('float64'), 'longitude': Value('float64'), 'name': Value('string'), 'description': Value('string'), 'category': Value('string'), 'date': Value('string'), 'event_type': Value('string'), 'magnitude': Value('string'), 'injuries': Value('int64'), 'fatalities': Value('int64'), 'damage_property': Value('float64'), 'state': Value('string')}
              because column names don't match

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NOAA Significant US Storms (1950-2025)

14,770 significant weather events curated from NOAA's 1.23 million storm records.

What's Inside

  • 14,770 major storms across 75 years
  • F3/EF3+ tornadoes (severe/violent)
  • Category 3+ hurricanes
  • Fatal events (1+ deaths)
  • High-damage storms ($1M+)
  • Full coordinates for mapping

Filtering Criteria

This dataset reduces NOAA's massive storm events database by 98.8% to focus on significant events:

Criterion Threshold
Major Tornadoes F3/EF3 and higher
Major Hurricanes Category 3+
Fatal Events 1+ direct deaths
High Damage $1,000,000+ property damage
High Injuries 10+ injuries
Severe Flash Floods Fatal (1+ deaths)
Severe Winter Storms Fatal (5+ deaths)

Events meeting ANY criterion are included.

Record Structure 

{
  "latitude": 35.2271,
  "longitude": -97.4395,
  "name": "Oklahoma City",
  "description": "EF5 tornado, 210 mph winds",
  "category": "noaa_storms",
  "date": "2013-05-20",
  "event_type": "Tornado",
  "magnitude": "EF5",
  "injuries": 212,
  "fatalities": 24,
  "damage_property": 2000000000,
  "state": "OKLAHOMA"
}

Event Distribution

Event Type Count Percentage
Tornado 6,334 42.9%
Flash Flood 2,358 16.0%
Thunderstorm Wind 2,257 15.3%
Flood 1,777 12.0%
Hail 1,246 8.4%
Lightning 574 3.9%
Other 224 1.5%

Top States

Texas (1,450), Missouri (648), Arkansas (602), Mississippi (570), Georgia (562)

Usage 

import json
import pandas as pd

with open('noaa_significant_storms.json') as f:
    storms = json.load(f)

df = pd.DataFrame(storms)
print(f"Total events: {len(df):,}")

# Filter by type
tornadoes = df[df['event_type'] == 'Tornado']
fatal = df[df['fatalities'] > 0]

Source & License

Public Domain - U.S. Government Work

Data from NOAA National Centers for Environmental Information (NCEI).

Distribution

Author

Luke Steuber | luke@lukesteuber.com | @lukesteuber.com (Bluesky)

Structured Data (JSON-LD) 

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "NOAA Significant US Storms (1950-2025)",
  "description": "14,770 significant weather events curated from NOAA's 1.23 million storm records. Includes F3+ tornadoes, Category 3+ hurricanes, fatal events, and high-damage storms.",
  "url": "https://www.kaggle.com/datasets/lucassteuber/noaa-significant-storms",
  "sameAs": "https://huggingface.co/datasets/lukeslp/noaa-significant-storms",
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
  "creator": {
    "@type": "Person",
    "name": "Luke Steuber",
    "url": "https://lukesteuber.com"
  },
  "keywords": ["weather", "storms", "tornadoes", "hurricanes", "natural disasters", "NOAA", "geospatial"],
  "temporalCoverage": "1950/2025",
  "spatialCoverage": {
    "@type": "Place",
    "name": "United States"
  },
  "distribution": [
    {
      "@type": "DataDownload",
      "encodingFormat": "application/json",
      "contentUrl": "https://www.kaggle.com/datasets/lucassteuber/noaa-significant-storms"
    }
  ]
}
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