Datasets:
license: cc-by-4.0
pretty_name: Lunar Sample Geochemistry (Astromat Synthesis)
language:
- en
description: >-
Geochemical analyses of 58,289 lunar samples from Apollo, Luna, and Chang'e 5
missions. Major oxides and trace elements from 980 publications.
task_categories:
- tabular-classification
- tabular-regression
tags:
- space
- moon
- lunar
- geochemistry
- apollo
- astromat
- petrology
- planetary-science
- open-data
- tabular-data
- parquet
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/lunar_geochemistry.parquet
default: true
Lunar Sample Geochemistry (Astromat Synthesis)
Credit: NASA/Apollo 8
Part of the Planetary Science Datasets collection on Hugging Face.
A comprehensive compilation of 58,289 geochemical analyses from 14,379 unique lunar samples collected by the Apollo, Luna, and Chang'e 5 missions. Covers major oxide compositions, trace element abundances, and rare earth elements from 980 published studies, compiled by the Astromat/EarthChem project.
Dataset description
Between 1969 and 2020, six Apollo missions (382 kg), three Soviet Luna missions (326 g), and China's Chang'e 5 mission (1.73 kg) returned samples from the Moon's surface. These samples — basalts, breccias, soils, and crustal rocks — have been analyzed in laboratories worldwide for over 50 years, producing a rich geochemical database that underpins our understanding of the Moon's origin, differentiation, and volcanic history.
This dataset compiles the results of those analyses into a single tabular format. Major oxides (SiO2, TiO2, Al2O3, FeO, MgO, CaO, etc.) in weight percent define the bulk composition and are used to classify lunar rock types (high-Ti basalt, low-Ti basalt, KREEP-rich, ferroan anorthosite). Trace elements and rare earth elements in ppm provide diagnostic signatures for petrogenetic processes: partial melting, fractional crystallization, and impact mixing.
The data was compiled by the Astromat Synthesis project (EarthChem Library) from peer-reviewed publications spanning 1970 to 2025, making it the most comprehensive single source for lunar sample chemistry.
Sample types
| Type | Analyses |
|---|---|
| ROCK>>BRECCIA | 17,455 |
| ROCK>>BASALT | 15,949 |
| SOIL | 12,703 |
| ROCK>>CRUSTAL | 1,713 |
| ROCK>>CORE | 1,179 |
| ROCK>>UNCLASSIFIED | 132 |
Missions
| Mission | Analyses |
|---|---|
| Other | 58,289 |
Quick stats
- 58,289 total analyses from 14,379 unique samples
- 980 published references
- 55 columns (metadata + major oxides + trace elements + REEs)
Usage
from datasets import load_dataset
ds = load_dataset("juliensimon/lunar-sample-geochemistry", split="train")
df = ds.to_pandas()
# TAS-like plot for lunar basalts
import matplotlib.pyplot as plt
basalts = df[df["sample_type"].str.contains("BASALT", na=False)]
valid = basalts.dropna(subset=["sio2_wt_pct", "tio2_wt_pct"])
plt.scatter(valid["sio2_wt_pct"], valid["tio2_wt_pct"], alpha=0.3, s=10)
plt.xlabel("SiO2 (wt%)")
plt.ylabel("TiO2 (wt%)")
plt.title("Lunar Basalt Compositions")
plt.show()
# Compare missions
print(df.groupby("mission")[["sio2_wt_pct", "feo_wt_pct", "mgo_wt_pct"]].mean())
# Filter Apollo 15 samples
a15 = df[df["mission"] == "Apollo 15"]
print(f"Apollo 15: {len(a15)} analyses")
Data source
Astromat Synthesis Compilation: Lunar samples v.1 (February 2025). EarthChem Library, doi:10.60520/IEDA/113696. CC-BY-4.0.
Related datasets
- Lunar Craters (Robbins 2019) — 2M+ Moon craters
- Meteorite Database — Named meteorites with classification
- Meteorite Landings — 45K+ meteorite fall records
- IAU Planetary Nomenclature — Named lunar features
Pipeline
Source code: juliensimon/space-datasets
Support
If you find this dataset useful, please give it a ❤️ on the dataset page and share feedback in the Community tab! Also consider giving a ⭐ to the space-datasets repo.
Citation
@dataset{lunar_geochemistry,
author = {Simon, Julien},
title = {Lunar Sample Geochemistry (Astromat Synthesis)},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/juliensimon/lunar-sample-geochemistry},
note = {Based on Astromat Synthesis Compilation via EarthChem Library}
}