Datasets:

lukeslp
/

large-meteorites

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
mass_g: null
meteorite_class: null
fall_type: null
to
{'latitude': Value('float64'), 'longitude': Value('float64'), 'name': Value('string'), 'description': Value('string'), 'category': Value('string'), 'date': Value('string'), 'mass_g': Value('float64'), 'meteorite_class': Value('string'), 'fall_type': 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
              mass_g: null
              meteorite_class: null
              fall_type: null
              to
              {'latitude': Value('float64'), 'longitude': Value('float64'), 'name': Value('string'), 'description': Value('string'), 'category': Value('string'), 'date': Value('string'), 'mass_g': Value('float64'), 'meteorite_class': Value('string'), 'fall_type': Value('string')}
              because column names don't match

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Large Meteorites (1kg+) - NASA Catalog

4,871 significant meteorite specimens weighing at least 1 kilogram.

What's Inside

4,871 large meteorites (1kg minimum)
Complete coordinates for mapping
Mass data in grams
Petrologic classifications
Fall vs. found distinction
Date range: 1399-2013

Why Large Meteorites Matter

Large meteorites are rare finds:

Enough material for multiple scientific analyses
Often displayed in museums worldwide
Can be sliced for study while preserving the specimen
More likely to have survived atmospheric entry intact

Filtering Criteria

Mass threshold: 1,000+ grams (1 kg)
Reduces NASA catalog by 89.3%
All records have valid mass data

Mass Statistics

Metric	Value
Minimum	1.0 kg
Median	3.6 kg
Maximum	60,000 kg (60 tonnes)

Record Structure

{
  "latitude": -27.5,
  "longitude": 132.0,
  "name": "Hoba",
  "description": "Iron, IVB - 60000000g",
  "category": "large_meteorites",
  "date": "1920-01-01",
  "mass_g": 60000000,
  "meteorite_class": "Iron, IVB",
  "fall_type": "Found"
}

Usage

import json
import pandas as pd

with open('large_meteorites.json') as f:
    meteorites = json.load(f)

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

# Find the heaviest
heaviest = df.nlargest(10, 'mass_g')[['name', 'mass_g', 'meteorite_class']]

# Filter by type
irons = df[df['meteorite_class'].str.contains('Iron', na=False)]

Source & License

Public Domain - U.S. Government Work

Data from NASA Meteoritical Bulletin via Open Data Portal.

https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh

Distribution

Kaggle: lucassteuber/large-meteorites
HuggingFace: lukeslp/large-meteorites
GitHub Gist: Demo Notebook

Author

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

Structured Data (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Large Meteorites (1kg+) - NASA Catalog",
  "description": "4,871 significant meteorite specimens weighing at least 1 kilogram from NASA's Meteoritical Bulletin. Includes mass, classification, and fall type data.",
  "url": "https://www.kaggle.com/datasets/lucassteuber/large-meteorites",
  "sameAs": "https://huggingface.co/datasets/lukeslp/large-meteorites",
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
  "creator": {
    "@type": "Person",
    "name": "Luke Steuber",
    "url": "https://lukesteuber.com"
  },
  "keywords": ["meteorites", "NASA", "astronomy", "space", "planetary science", "geospatial"],
  "temporalCoverage": "1399/2013",
  "spatialCoverage": {
    "@type": "Place",
    "name": "Global"
  },
  "distribution": [
    {
      "@type": "DataDownload",
      "encodingFormat": "application/json",
      "contentUrl": "https://www.kaggle.com/datasets/lucassteuber/large-meteorites"
    }
  ]
}

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