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https://huggingface.co/datasets/constellationspace/demo-fleet/resolve/main/README.md
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license: cc-by-4.0
pretty_name: Constellation Demo Fleet
language:
- en
tags:
- space
- satellites
- ground-stations
- telemetry
- link-budget
- snr
- forecasting
size_categories:
- n<1K
configs:
- config_name: links
data_files: links.csv
default: true
- config_name: ground_stations
data_files: ground_stations.csv
- config_name: satellites
data_files: satellites.csv
- config_name: demand_pools
data_files: demand_pools.csv
Constellation Demo Fleet
A ready-made satellite and ground-station fleet from Constellation Space: 6 ground stations, 39 satellites, 21 ground-antenna links with link-budget state, and 4 traffic demand pools. It is the same fleet the Constellation API loads with load_demo_fleet, so you can explore it here and then run forecasts on it in the Constellation Platform.
This release is a snapshot: each entity's newest values as of 2026-10-10T23:07:10Z. A time-series release (two hours of 15-second SNR telemetry and seven days of ten-minute demand) will follow.
Files
| Config | File | Rows | What it holds |
|---|---|---|---|
links (default) |
links.csv |
21 | One ground antenna to one satellite: pointing, geometry, RF configuration, and observed SNR |
ground_stations |
ground_stations.csv |
6 | Station name, WGS84 latitude and longitude, and the demand pool it serves |
satellites |
satellites.csv |
39 | NORAD catalog id and name (O3b, O3b mPOWER, Globalstar, PROBA-2, PROBA-3, Sentinel-1C, BIOMASS) |
demand_pools |
demand_pools.csv |
4 | Latest ten-minute offered traffic per pool |
topology.json |
70 entities | The same snapshot in the shape the API's topology endpoint returns |
Columns
links.csv
| Column | Unit | Meaning |
|---|---|---|
entity_id |
<station>__ant<n>: one antenna at one station |
|
source |
The ground station (ground_stations.entity_id) |
|
target |
The satellite (satellites.entity_id) |
|
observed_at |
UTC | Time of the newest sample |
azimuth_deg |
degrees | Pointing azimuth, clockwise from true north, in the station's local frame |
elevation_deg |
degrees | Pointing elevation above the local horizon |
slant_range_km |
km | Line-of-sight distance from antenna to satellite |
frequency_ghz |
GHz | Carrier frequency |
bandwidth_mhz |
MHz | Channel bandwidth |
eirp_dbw |
dBW | Effective isotropic radiated power of the transmitter |
g_t_db_k |
dB/K | Receive figure of merit (antenna gain over system noise temperature) |
snr_db |
dB | Observed signal-to-noise ratio |
ground_stations.csv
entity_id, name, lat_deg and lon_deg (WGS84 degrees), and pop_id, the demand pool the station serves.
demand_pools.csv
pool_id, interval_start (UTC, start of a ten-minute interval), inlet_bytes (offered bytes in that interval), and evidence_kind.
Things to know
- Demand is synthetic. Every pool row has
evidence_kind = synthetic_offered: it is generated traffic for exercising demand forecasts, not measured customer traffic. - Not every link closes.
SITE-9c5100cd2d6c__ant0to PROBA-3 sits near 48,800 km slant range at -12.5 dB SNR, which is realistic for a spacecraft near the far point of a highly elliptical orbit and is kept as an example of a link that does not close. - Links come and go. Antennas that are not tracking a satellite stop reporting, so
observed_atvaries by link. - Satellite names and NORAD ids are public catalog identifiers.
Use it
from datasets import load_dataset
links = load_dataset("constellationspace/demo-fleet", "links", split="train")
print(links.to_pandas().sort_values("snr_db").head())
Run forecasts on the same fleet with the API (create a key in the Platform, then load the fleet from the Dashboard or an MCP client):
curl -H "x-api-key: $CONSTELLATION_API_KEY" https://api.constellation.space/topology
License
CC BY 4.0. Credit "Constellation Space" when you use it.