Update meteorite database: 1,180 meteorites

README.md

@@ -3,13 +3,7 @@ license: cc0-1.0
 pretty_name: "Meteorite Database"
 language:
   - en
-description: >-
-  Known meteorites catalogued in Wikidata, including mass, classification,
-  fall date, country of recovery, and geographic coordinates.
-  1,180 meteorites with metadata sourced from the community-curated
-  Wikidata knowledge base.
-size_categories:
-  - 1K<n<10K
+description: "Catalogue of known meteorites sourced from Wikidata, covering mass, classification, fall date, country of recovery, and geographic coordinates.  Meteorites are extraterrestrial rocks that survive pass"
 task_categories:
   - tabular-classification
 tags:
@@ -20,62 +14,74 @@ tags:
   - open-data
   - tabular-data
   - parquet
+size_categories:
+  - 1K<n<10K
 configs:
   - config_name: default
-    default: true
     data_files:
       - split: train
         path: data/meteorites.parquet
+    default: true
 ---
 
 # Meteorite Database
 
-*Part of the [Planetary Science Datasets](https://huggingface.co/collections/juliensimon/planetary-science-datasets-69c2d4683bd6a66c34fb4af2) collection on Hugging Face.*
 
-Catalogue of **1,180** known meteorites sourced from [Wikidata](https://www.wikidata.org/),
-covering mass, classification, fall date, country of recovery, and geographic coordinates.
+<div align="center">
+  <img src="banner.jpg" alt="Rosetta spacecraft approaching Comet 67P/Churyumov-Gerasimenko" width="400">
+  <p><em>Credit: NASA/ESA</em></p>
+</div>
+
+
+*Part of a [dataset collection](https://huggingface.co/collections/juliensimon/orbital-mechanics-datasets-69c24caca4ab3934c9856994) on Hugging Face.*
 
 ## Dataset description
 
-Meteorites are extraterrestrial rocks that survive passage through Earth's atmosphere and
-reach the surface. They are classified by mineralogy and petrology (e.g., chondrites,
-achondrites, iron meteorites) and recorded either as *falls* (witnessed descent) or
-*finds* (recovered without observation).
+Catalogue of known meteorites sourced from Wikidata, covering mass, classification, fall date, country of recovery, and geographic coordinates.
+
+Meteorites are extraterrestrial rocks that survive passage through Earth's atmosphere and reach the surface. They are classified by mineralogy and petrology (e.g., chondrites, achondrites, iron meteorites) and recorded either as falls (witnessed descent) or finds (recovered without observation).
+
+This dataset aggregates Wikidata entries for all entities of type Q60186 (meteorite), pulling structured properties including mass (P2067), fall/discovery date (P585/P575), country (P17), coordinates (P625), and mineralogical class (via P31 subclass hierarchy). It complements NASA and Meteoritical Society databases with Wikidata's multilingual, cross-linked knowledge graph.
+
 
-This dataset aggregates Wikidata entries for all entities of type Q60186 (meteorite), pulling
-structured properties including mass (P2067), fall/discovery date (P585/P575), country (P17),
-coordinates (P625), and mineralogical class (via P31 subclass hierarchy). It complements NASA and Meteoritical Society
-databases with Wikidata's multilingual, cross-linked knowledge graph.
+This dataset is suitable for **tabular classification** tasks.
 
 ## Schema
 
-| Column | Type | Description |
-|--------|------|-------------|
-| `wikidata_id` | string | Wikidata entity ID (e.g. Q1029) |
-| `name` | string | Meteorite name |
-| `fall_date` | string | Date of fall or recovery (YYYY-MM-DD) |
-| `mass_g` | float | Mass in grams |
-| `classification` | string | Mineralogical/petrological classification |
-| `country` | string | Country of recovery |
-| `latitude` | float | Recovery latitude (decimal degrees) |
-| `longitude` | float | Recovery longitude (decimal degrees) |
+| Column | Type | Description | Sample | Null % |
+|--------|------|-------------|--------|--------|
+| `wikidata_id` | str | Wikidata entity ID (e.g. Q1029); stable cross-reference key for linking to other Wikidata properties | Q138638076 | 0.0% |
+| `name` | string | Official meteorite name assigned by the Meteoritical Society (e.g., 'Allende', 'NWA 7034', 'Chelyabinsk'); typically location of find plus sequence number | 2026 Koblenz meteor | 0.0% |
+| `fall_date` | str | Date of observed fall or discovery/recovery in ISO format (YYYY-MM-DD); null for historical finds without a recorded date; precision often year-only (day defaults to 01) | 1880-01-01 | 53.8% |
+| `mass_g` | float64 | Total known mass in grams; null if unknown; range from <1 g (tiny fragments) to ~60,000,000 g (Hoba, the largest known meteorite) | 21.0 | 68.8% |
+| `classification` | string | Meteoritical Society mineralogical/petrological class (e.g., 'L5', 'CM2', 'Iron IIIAB'); letters = chemical group, numbers = petrologic grade; null if not recorded in Wikidata | ordinary chondrite | 89.4% |
+| `country` | string | Country of recovery (English label from Wikidata); null for finds without a recorded country or in international territory (e.g., Antarctica) | Denmark | 83.0% |
+| `latitude` | float64 | Recovery location latitude in decimal degrees (positive = N, negative = S); null for historical or poorly documented finds | 50.775 | 64.9% |
+| `longitude` | float64 | Recovery location longitude in decimal degrees (positive = E, negative = W); null for historical or poorly documented finds | 6.08333 | 64.9% |
 
 ## Quick stats
 
 - **1,180** meteorites total
 - **368** with recorded mass
-- **415** with geographic coordinates
+- **414** with geographic coordinates
 - **125** with classification
 - **55** countries of recovery
 - Heaviest: Allende meteorite (2,000,000 g)
 - Top countries: United States (39), Australia (13), Argentina (10), Germany (10), France (9)
-- Top classifications: iron meteorite (21), chondrite (17), H chondrite (17), L chondrite (11), ordinary chondrite (11)
+- Top classifications: iron meteorite (20), H chondrite (17), chondrite (15), ordinary chondrite (14), L chondrite (10)
 
 ## Usage
 
 ```python
 from datasets import load_dataset
 
+ds = load_dataset("juliensimon/meteorite-database", split="train")
+df = ds.to_pandas()
+```
+
+```python
+from datasets import load_dataset
+
 ds = load_dataset("juliensimon/meteorite-database", split="train")
 df = ds.to_pandas()
 
@@ -83,53 +89,52 @@ df = ds.to_pandas()
 print(df.nlargest(10, "mass_g")[["name", "mass_g", "country", "classification"]])
 
 # Meteorites by country
-print(df["country"].value_counts().head(10))
-
-# Meteorites with coordinates (mappable)
-mappable = df.dropna(subset=["latitude", "longitude"])
-print(f"{len(mappable):,} meteorites with coordinates")
-
-# Filter by classification
-chondrites = df[df["classification"].str.contains("chondrite", case=False, na=False)]
-print(f"{len(chondrites):,} chondrites")
+import matplotlib.pyplot as plt
+df["country"].value_counts().head(15).plot.barh()
+plt.xlabel("Count")
+plt.ylabel("Country")
+plt.title("Meteorites by Country of Recovery")
+plt.tight_layout()
+plt.show()
+
+# Mass distribution (log scale)
+import numpy as np
+masses = df["mass_g"].dropna()
+plt.hist(np.log10(masses[masses > 0]), bins=50)
+plt.xlabel("log10(mass in grams)")
+plt.ylabel("Count")
+plt.title("Meteorite Mass Distribution")
+plt.show()
 ```
 
 ## Data source
 
-[Wikidata](https://www.wikidata.org/) SPARQL endpoint. Meteorites identified via
-property P31 (instance of) = Q60186 (meteorite). Data is community-curated and
-cross-referenced with the [Meteoritical Bulletin Database](https://www.lpi.usra.edu/meteor/).
-
-## Update schedule
-
-Quarterly (January, April, July, October). Run manually to capture interim additions.
+https://www.wikidata.org/
 
 ## Related datasets
 
-- [impact-craters](https://huggingface.co/datasets/juliensimon/impact-craters) -- Earth impact crater database
-- [fireballs](https://huggingface.co/datasets/juliensimon/fireball-bolide-events) -- NASA fireball and bolide events
+- [juliensimon/impact-craters](https://huggingface.co/datasets/juliensimon/impact-craters)
 
-## Pipeline
+- [juliensimon/fireball-bolide-events](https://huggingface.co/datasets/juliensimon/fireball-bolide-events)
 
-Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
+> If you find this dataset useful, please consider [giving it a like](https://huggingface.co/datasets/juliensimon/meteorite-database) on Hugging Face. It helps others discover it.
 
-## Support
+## About the author
 
-If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/meteorite-database) and share feedback in the Community tab! Also consider giving a ⭐️ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo.
+Created by [Julien Simon](https://julien.org) — AI Operating Partner at Fortino Capital. Part of the [Space Datasets](https://julien.org/datasets) collection.
 
 ## Citation
 
 ```bibtex
 @dataset{meteorite_database,
-  author = {Simon, Julien},
   title = {Meteorite Database},
+  author = {juliensimon},
   year = {2026},
-  publisher = {Hugging Face},
   url = {https://huggingface.co/datasets/juliensimon/meteorite-database},
-  note = {Sourced from Wikidata (CC0)}
+  publisher = {Hugging Face}
 }
 ```
 
 ## License
 
-[CC0-1.0](https://creativecommons.org/publicdomain/zero/1.0/) (Wikidata content is public domain)
+[CC0-1.0](https://creativecommons.org/licenses/by/4.0/)

data/meteorites.parquet

@@ -1,3 +1,3 @@
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+size 32034