Dataset Viewer
Duplicate
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
category: null
latitude: null
longitude: null
name: null
date: null
subcategory: null
magnitude: null
fatalities: null
injuries: null
to
{'category': Value('string'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'name': Value('string'), 'date': Value('string'), 'subcategory': Value('string'), 'magnitude': Value('float64'), 'fatalities': Value('int64'), 'injuries': Value('int64')}
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
              category: null
              latitude: null
              longitude: null
              name: null
              date: null
              subcategory: null
              magnitude: null
              fatalities: null
              injuries: null
              to
              {'category': Value('string'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'name': Value('string'), 'date': Value('string'), 'subcategory': Value('string'), 'magnitude': Value('float64'), 'fatalities': Value('int64'), 'injuries': Value('int64')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

US Disasters Mashup

Unified dataset of 54,575 disaster events across four categories from US government sources.

Categories

Category Records Source Date Range
Aviation Accidents 32,410 NTSB 1962-present
Shipwrecks 3,653 NOAA AWOIS Historical
Severe Storms 14,770 NOAA 1950-2025
Earthquakes 3,742 USGS 2000-2025

Schema

{
  "category": "aviation_accident|shipwreck|storm|earthquake",
  "latitude": 40.7128,
  "longitude": -74.0060,
  "name": "Event name or location",
  "date": "2023-01-15",
  "subcategory": "Specific type (e.g., Tornado, maritime)",
  "magnitude": 5.2,
  "fatalities": 0,
  "injuries": 0
}

Data Quality

  • All records have valid coordinates
  • Coordinate precision: 6 decimal places
  • Aviation accidents: 100% have NTSB event IDs
  • Storms: Include fatalities, injuries, damage estimates
  • Earthquakes: Include magnitude and depth

Use Cases

  • Geospatial Analysis: Map disaster hotspots and corridors
  • Temporal Analysis: Identify seasonal and long-term trends
  • Risk Assessment: Cross-reference with population data
  • Machine Learning: Multi-class disaster classification
  • Visualization: "Data is Beautiful" style presentations

Sources

All data from US Government agencies (public domain):

Distribution

Author

Luke Steuber | @lukesteuber.com (Bluesky)

Structured Data (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "US Disasters Mashup",
  "description": "Unified dataset of 54,575 disaster events across four categories from US government sources: aviation accidents (NTSB), shipwrecks (NOAA AWOIS), severe storms (NOAA), and earthquakes (USGS).",
  "url": "https://www.kaggle.com/datasets/lucassteuber/us-disasters-mashup",
  "sameAs": "https://huggingface.co/datasets/lukeslp/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": "1950/2025",
  "spatialCoverage": {
    "@type": "Place",
    "name": "United States"
  },
  "distribution": [
    {
      "@type": "DataDownload",
      "encodingFormat": "application/json",
      "contentUrl": "https://www.kaggle.com/datasets/lucassteuber/us-disasters-mashup"
    }
  ]
}
Downloads last month
20