Dataset Viewer
Auto-converted to Parquet Duplicate
The dataset viewer is not available for this split.
The number of columns (6146) exceeds the maximum supported number of columns (1000). This is a current limitation of the datasets viewer. You can reduce the number of columns if you want the viewer to work.
Error code:   TooManyColumnsError

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.

ChemCam LIBS Spectral Dataset

Laser-Induced Breakdown Spectroscopy (LIBS) data from NASA's ChemCam instrument aboard the Curiosity rover on Mars.

Dataset Description

This dataset contains calibrated LIBS spectra (CCS files) from the ChemCam instrument, processed into a machine-learning-ready format.

Splits

Split Rows Description
single 908,097 Individual shot spectra (up to 30 shots per target)
stat 61,158 Statistical aggregates (median and mean per target)

Features

  • name: Target identifier (e.g., "cl5_mcam02363")
  • shot_type: For single split: "shot1" to "shot30"; For stat split: "median" or "mean"
  • wave@{wavelength}: 6144 spectral intensity columns covering ~240-850 nm

Wavelength Range

  • Channels: 6,144 wavelength bins
  • Range: ~240 nm to ~850 nm
  • Covers: UV, visible, and near-IR regions

Usage

from datasets import load_dataset

# Load single-shot spectra
single = load_dataset("jfang/ChemCam-LIBS-2512", "single")

# Load statistical aggregates
stat = load_dataset("jfang/ChemCam-LIBS-2512", "stat")

# Example: Get spectrum as numpy array
import numpy as np
row = stat["train"][0]
wave_cols = [c for c in row.keys() if c.startswith("wave@")]
spectrum = np.array([row[c] for c in sorted(wave_cols)])

Source

Data derived from NASA PDS (Planetary Data System) ChemCam calibrated spectra archive.

License

CC-BY-4.0 (Creative Commons Attribution 4.0)

Citation

If using this dataset, please cite the original ChemCam team publications and NASA PDS.

Downloads last month
7