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Update GCAT deep space: 1,206 objects, 469 landings
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metadata
license: cc-by-4.0
pretty_name: GCAT Deep Space Objects and Planetary Landings
language:
  - en
description: >-
  Interplanetary spacecraft and planetary/lunar landings from Jonathan
  McDowell's General Catalog of Artificial Space Objects (GCAT). 1,675 records
  across two tables.
task_categories:
  - tabular-classification
tags:
  - space
  - deep-space
  - interplanetary
  - planetary-landings
  - lunar-landings
  - gcat
  - solar-system
  - spacecraft
  - open-data
  - tabular-data
  - parquet
configs:
  - config_name: deep_space_objects
    data_files:
      - split: train
        path: data/deep_space_objects.parquet
    default: true
  - config_name: planetary_landings
    data_files:
      - split: train
        path: data/planetary_landings.parquet
size_categories:
  - 1K<n<10K

GCAT Deep Space Objects and Planetary Landings

Part of the Solar System Datasets collection on Hugging Face.

Deep space spacecraft and planetary/lunar landings from GCAT (General Catalog of Artificial Space Objects), maintained by Jonathan McDowell at the Harvard-Smithsonian Center for Astrophysics.

Currently 1,206 deep space objects and 469 planetary landings (1,675 records total).

Dataset description

This dataset captures humanity's exploration beyond Earth orbit in two complementary tables. The deep space catalog lists every spacecraft, rocket stage, and component that has traveled beyond cislunar space or entered a heliocentric orbit, from the pioneering Luna and Pioneer missions of 1959 to modern interplanetary probes. It includes mission metadata, physical specifications (mass, dimensions, shape), orbital parameters, and current status for each object.

The planetary landings catalog records every intentional and unintentional contact with another world -- soft landings, hard impacts, controlled crashes, and flyby probe deployments. It covers landings on 15 different worlds: Luna, Mars, Venus, Ryugu, Titan, Itokawa, Phobos, Jupiter, and more. The data spans the full international history of planetary exploration, including Soviet Luna and Venera missions, NASA's Surveyor and Apollo landings, ESA's Huygens descent to Titan, Japan's Hayabusa asteroid sample returns, China's Chang'e lunar program, and India's Chandrayaan missions.

Together these tables enable analysis of interplanetary mission trends, success rates by nation and decade, the geographic distribution of lunar landing sites, and the evolution of deep space spacecraft design over six decades.

Configs

deep_space_objects -- 1,206 objects

Every known spacecraft and component that has traveled beyond Earth orbit.

Column Type Description
jcat string GCAT deep space catalog ID (e.g. D00001)
satcat string NORAD/Satcat ID (NNA if not assigned)
launch_tag string GCAT launch identifier
piece string Launch piece designation
type string Object type code (P=payload, R=rocket body, C=component)
name string Object name
pl_name string Payload name
ldate string Launch date
parent string Parent object JCAT ID
sdate string Separation date from parent
primary string Primary gravitational body
ddate string Deep space date
status string Current status code
dest string Destination (Luna, HCO=heliocentric, etc.)
owner string Owner organization
state string Country/state code
manufacturer string Manufacturer code
bus string Spacecraft bus type
motor string Propulsion motor
mass float Mass in kg
mass_flag string Mass qualifier flag
dry_mass float Dry mass in kg
dry_flag string Dry mass qualifier flag
tot_mass float Total mass in kg
tot_flag string Total mass qualifier flag
length float Length in meters
l_flag string Length qualifier flag
diameter float Diameter in meters
d_flag string Diameter qualifier flag
span float Span in meters
span_flag string Span qualifier flag
shape string Physical shape description
odate string Orbit date
perigee float Perigee in km
pf string Perigee qualifier flag
apogee float Apogee in km
af string Apogee qualifier flag
inc float Inclination in degrees
if_flag string Inclination qualifier flag
op_orbit string Operational orbit type
oqual string Orbit quality flag
alt_names string Alternative names/designations

planetary_landings -- 469 landings

Every lunar and planetary landing or impact, including controlled and uncontrolled surface contact.

Column Type Description
jcat string GCAT deep space catalog ID
piece string Launch piece designation
name string Object name
owner string Owner organization
state string Country/state code
world string Target world (Luna, Mars, Venus, Titan, etc.)
lon float Landing longitude (degrees)
lat float Landing latitude (degrees)
ltype string Landing type (L=landing, I=impact, LA=landing attempt, etc.)
status string Outcome status (L=landed, I=impact, etc.)
launch_date string Launch date
land_date string Landing/impact date
off_date string End-of-mission date
dur float Surface duration in days
lsite string Landing site name
comment string Mission notes

Quick stats

  • 1,206 deep space objects from 21 countries/entities
  • 25 distinct destinations
  • 469 planetary landings on 15 worlds
  • 57 successful landings, 16 impacts
  • Landings by world: Luna (257), Mars (98), Venus (65), Ryugu (14), Titan (8), Itokawa (8)
  • International coverage: US, Soviet Union, China, Japan, ESA, India, and more

Usage

from datasets import load_dataset

deep = load_dataset("juliensimon/gcat-deep-space", "deep_space_objects", split="train")
landings = load_dataset("juliensimon/gcat-deep-space", "planetary_landings", split="train")

ddf = deep.to_pandas()

# Spacecraft by destination
print(ddf["dest"].value_counts().head(10))

# Payloads only (exclude rocket bodies and components)
payloads = ddf[ddf["type"].str.startswith("P", na=False)]
print(f"{len(payloads)} payload objects")

# Planetary landings by world
ldf = landings.to_pandas()
print(ldf["world"].value_counts())

# Successful lunar landings with coordinates
lunar = ldf[(ldf["world"] == "Luna") & (ldf["status"] == "L")]
print(f"{len(lunar)} successful lunar landings")
print(lunar[["name", "state", "land_date", "lon", "lat", "dur"]].head(10))

# Mars landings
mars = ldf[ldf["world"] == "Mars"]
print(f"{len(mars)} Mars landings/impacts")

Data source

GCAT (General Catalog of Artificial Space Objects) by Jonathan McDowell, Harvard-Smithsonian Center for Astrophysics. GCAT is the most comprehensive public catalog of space objects, widely used in the spaceflight research community.

Update schedule

Static dataset -- rebuilt manually when GCAT is updated (approximately monthly).

Related datasets

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{gcat_deep_space,
  author = {Simon, Julien},
  title = {GCAT Deep Space Objects and Planetary Landings},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/gcat-deep-space},
  note = {Based on GCAT by Jonathan McDowell, Harvard-Smithsonian Center for Astrophysics}
}

License

CC-BY-4.0