---
license: other
pretty_name: "ESA JUICE Observations"
language:
  - en
description: "Observation metadata catalog from ESA's JUICE (Jupiter Icy Moons Explorer) mission.  JUICE is ESA's flagship mission to the Jovian system, launched April 14, 2023. After gravity assists at Earth-Moon "
task_categories:
  - tabular-classification
tags:
  - space
  - jupiter
  - juice
  - ganymede
  - europa
  - callisto
  - esa
  - planetary-science
  - open-data
  - tabular-data
  - parquet
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*.parquet
    default: true
---

# ESA JUICE Observations

<div align="center">
  <img src="banner.jpg" alt="Jupiter's Great Red Spot and the Galilean satellites" width="400">
  <p><em>Credit: NASA/JPL-Caltech</em></p>
</div>

*Part of a [dataset collection](https://huggingface.co/collections/juliensimon/space-probe-and-mission-datasets-69c3fe82d410a42b1e313167) on Hugging Face.*

## Dataset description

Observation metadata catalog from ESA's JUICE (Jupiter Icy Moons Explorer) mission.

JUICE is ESA's flagship mission to the Jovian system, launched April 14, 2023. After gravity assists at Earth-Moon (August 2024), Venus (August 2025), and Earth (September 2026, January 2029), JUICE will arrive at Jupiter in July 2031 for a 3.5-year tour of the Galilean moons. The primary science target is Ganymede -- the only moon with its own magnetic field -- where JUICE will enter orbit in December 2034, becoming the first spacecraft to orbit a moon other than Earth's. The mission will characterize the subsurface oceans of Ganymede, Europa, and Callisto, assess their habitability, and study Jupiter's atmosphere and magnetosphere.

During the cruise phase, instruments are collecting calibration data and science observations during planetary flybys. Currently available data includes radiation measurements (RADEM), monitoring camera images (JMC), and heliospheric particle data (HAA). The dataset will grow dramatically as JUICE approaches Jupiter and begins its science phase.

Each row represents one observation or data granule from the ESA Planetary Science Archive (PSA), conforming to the EPN-TAP standard, with timing, spatial coverage, instrument parameters, and access URLs.

## Instruments

- **RADEM**: 2,160 observations
- **JMC**: 1,021 observations
- **HAA**: 212 observations
- **NAVCAM**: 32 observations

## Quick stats

- **3,425** total observations
- **4** instruments
- **0** distinct targets
- Time span: JD 2460050.9 -- 2461283.0

## Usage

```python
from datasets import load_dataset

ds = load_dataset("juliensimon/esa-juice-observations", split="train")
df = ds.to_pandas()

# Observations per instrument
print(df["instrument_name"].value_counts())

# RADEM radiation measurements
radem = df[df["instrument_name"] == "RADEM"]
print(f"{len(radem):,} RADEM observations")

# Observations per target
print(df["target_name"].value_counts())

# Timeline of observations
import matplotlib.pyplot as plt
df["time_min"].hist(bins=50, figsize=(10, 4))
plt.xlabel("Julian Date")
plt.ylabel("Count")
plt.title("JUICE observation density over time")
plt.show()
```

## Data source

[ESA Planetary Science Archive](https://psa.esa.int/) -- EPN-TAP service at
`https://psa.esa.int/psa-tap/tap/sync`.

## Update schedule

Weekly (Monday at 10:00 UTC)

## Related datasets

- [juliensimon/esa-rosetta-observations](https://huggingface.co/datasets/juliensimon/esa-rosetta-observations)
- [juliensimon/esa-bepicolombo-observations](https://huggingface.co/datasets/juliensimon/esa-bepicolombo-observations)
- [juliensimon/galileo-jupiter-atmosphere](https://huggingface.co/datasets/juliensimon/galileo-jupiter-atmosphere)
- [juliensimon/solar-system-moons](https://huggingface.co/datasets/juliensimon/solar-system-moons)

## Citation

```bibtex
@dataset{esa_juice_observations,
  title = {ESA JUICE Observations},
  author = {juliensimon},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/esa-juice-observations},
  publisher = {Hugging Face}
}
```

## License

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)