Datasets:
The dataset viewer is not available for this dataset.
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.
Mars ChemCam LIBS Oxide Compositions
Part of the Planetary Science Datasets collection on Hugging Face.
Major oxide compositions of Mars surface rock and soil targets analyzed by the Chemistry and Camera (ChemCam) Laser-Induced Breakdown Spectroscopy (LIBS) instrument aboard the Curiosity rover. Currently 30,458 individual point analyses across 4,184 named targets, spanning sols 0 to 4612.
Dataset description
ChemCam fires a focused laser pulse at rock and soil targets up to ~7 meters away, creating a plasma whose emission spectrum reveals elemental composition. The Major Oxide Compositions (MOC) data product provides predicted weight percentages for nine major oxides (SiO2, TiO2, Al2O3, FeOT, MgO, CaO, Na2O, K2O, MnO) derived from the LIBS spectra using a combined PLS+ICA multivariate model.
Each row represents a single LIBS analysis point. Multiple points are typically measured per target to characterize compositional variability. Uncertainty estimates (RMSEP and shot-to-shot standard deviation) are provided for each oxide.
Schema
| Column | Type | Description |
|---|---|---|
file |
string | Source spectrum filename |
target |
string | Named target on the Martian surface |
sio2 |
float64 | Silicon dioxide (wt%) |
sio2_rmsep |
float64 | SiO2 RMSEP uncertainty from calibration model |
sio2_shots_stdev |
float64 | SiO2 shot-to-shot standard deviation |
tio2 |
float64 | Titanium dioxide (wt%) |
tio2_rmsep |
float64 | TiO2 RMSEP uncertainty from calibration model |
tio2_shots_stdev |
float64 | TiO2 shot-to-shot standard deviation |
al2o3 |
float64 | Aluminum oxide (wt%) |
al2o3_rmsep |
float64 | Al2O3 RMSEP uncertainty from calibration model |
al2o3_shots_stdev |
float64 | Al2O3 shot-to-shot standard deviation |
feot |
float64 | Total iron as FeO (wt%) |
feot_rmsep |
float64 | FeOT RMSEP uncertainty from calibration model |
feot_shots_stdev |
float64 | FeOT shot-to-shot standard deviation |
mgo |
float64 | Magnesium oxide (wt%) |
mgo_rmsep |
float64 | MgO RMSEP uncertainty from calibration model |
mgo_shots_stdev |
float64 | MgO shot-to-shot standard deviation |
cao |
float64 | Calcium oxide (wt%) |
cao_rmsep |
float64 | CaO RMSEP uncertainty from calibration model |
cao_shots_stdev |
float64 | CaO shot-to-shot standard deviation |
na2o |
float64 | Sodium oxide (wt%) |
na2o_rmsep |
float64 | Na2O RMSEP uncertainty from calibration model |
na2o_shots_stdev |
float64 | Na2O shot-to-shot standard deviation |
k2o |
float64 | Potassium oxide (wt%) |
k2o_rmsep |
float64 | K2O RMSEP uncertainty from calibration model |
k2o_shots_stdev |
float64 | K2O shot-to-shot standard deviation |
mno |
float64 | Manganese oxide (wt%) |
mno_rmsep |
float64 | MnO RMSEP uncertainty from calibration model |
mno_shots_stdev |
float64 | MnO shot-to-shot standard deviation |
sum_of_oxides |
float64 | Sum of all oxide compositions (wt%) |
distance_m |
float64 | Distance from rover to target (meters) |
laser_power |
string | Laser power settings |
spectrum_total |
string | Total spectrum intensity |
sol_range_min |
int64 | Start of sol range for this data file |
sol_range_max |
int64 | End of sol range for this data file |
Quick stats
- 30,458 LIBS point analyses across 4,184 targets
- Sols 0 to 4612 of Curiosity's traverse
- Mean SiO2: 47.6 wt% | Mean FeOT: 18.0 wt%
Usage
from datasets import load_dataset
ds = load_dataset("juliensimon/mars-chemcam-compositions", split="train")
df = ds.to_pandas()
# Average oxide composition per target
target_avg = df.groupby("target")[
["sio2", "tio2", "al2o3", "feot", "mgo", "cao", "na2o", "k2o"]
].mean()
# High-silica targets (possible felsic rocks)
felsic = target_avg[target_avg["sio2"] > 60].sort_values("sio2", ascending=False)
# Iron-rich targets
iron_rich = df[df["feot"] > 25].sort_values("feot", ascending=False)
# Composition variability within a single target
target_std = df.groupby("target")[["sio2", "feot", "mgo"]].std()
Data source
PDS Geosciences Node — MSL ChemCam LIBS RDR, Washington University in St. Louis. Major Oxide Compositions (MOC) derived using the combined PLS+ICA multivariate model (sPDL Tool v2.5).
Related datasets
- mars-craters — Robbins Mars crater catalog
- neo-close-approaches — Near-Earth object approaches
- small-body-database — JPL small body orbital parameters
Pipeline
Source code: juliensimon/space-datasets
Citation
@dataset{mars_chemcam_compositions,
author = {Simon, Julien},
title = {Mars ChemCam LIBS Oxide Compositions},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/juliensimon/mars-chemcam-compositions},
note = {Based on MSL ChemCam LIBS MOC data from the PDS Geosciences Node}
}
License
- Downloads last month
- 16