Datasets:
Update observatory database: 609 observatories
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README.md
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pretty_name: "Observatory Database"
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language:
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description:
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Comprehensive database of astronomical observatories worldwide, sourced from Wikidata.
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609 observatories from 60 countries with coordinates, elevation,
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aperture size, operator, and wavelength coverage.
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size_categories:
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- n<1K
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task_categories:
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- tabular-classification
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tags:
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- open-data
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- tabular-data
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- parquet
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configs:
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- config_name: default
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default: true
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data_files:
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- split: train
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path: data/observatories.parquet
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---
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# Observatory Database
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*Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.*
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## Dataset description
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telescopes, radio dishes, neutrino detectors, gamma-ray satellites, and space observatories —
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Each entry includes geographic coordinates (latitude/longitude), elevation above sea level,
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primary aperture size, operating organization, opening date, and the electromagnetic
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wavelength bands observed. This enables spatial analysis of observatory distribution,
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historical studies of observational astronomy, and comparison of ground-based vs.
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space-based capabilities.
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community with contributions from professional astronomers and enthusiasts worldwide.
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## Schema
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| Column | Type | Description |
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|--------|------|-------------|
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| `wikidata_id` |
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| `name` | string |
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| `country` | string | Country
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| `latitude` |
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| `longitude` |
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| `elevation_m` |
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| `opening_date` | string | Date the observatory opened (YYYY-MM-DD) |
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| `wavelengths` | string | Observed wavelength bands, semicolon-separated |
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## Quick stats
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- **46** with elevation data
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- Highest elevation: Caltech Submillimeter Observatory (13,570 m)
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- Estimated ground-based: **510**, space-based: **99**
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- Top countries: United States (
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- Top wavelength bands:
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/observatory-database", split="train")
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df = ds.to_pandas()
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large = df[df["aperture_m"] > 8].sort_values("aperture_m", ascending=False)
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print(large[["name", "country", "aperture_m"]])
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#
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```
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## Data source
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property P31 (instance of) = Q62832 (astronomical observatory), Q1377879 (space
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observatory), or Q148578 (radio observatory). Data is community-curated by
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[WikiProject Astronomy](https://www.wikidata.org/wiki/Wikidata:WikiProject_Astronomy).
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## Update schedule
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Quarterly (January, April, July, October). Re-run manually to pick up newly catalogued facilities.
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## Related datasets
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- [astronomer-database](https://huggingface.co/datasets/juliensimon/astronomer-database)
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- [chandra-sources](https://huggingface.co/datasets/juliensimon/chandra-sources) — Chandra X-ray source catalog
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##
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## Citation
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```bibtex
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@dataset{observatory_database,
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author = {Simon, Julien},
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title = {Observatory Database},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/juliensimon/observatory-database},
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}
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```
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## License
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[CC0-1.0](https://creativecommons.org/
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pretty_name: "Observatory Database"
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language:
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- en
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description: "Comprehensive database of astronomical observatories worldwide, sourced from Wikidata. From ancient naked-eye platforms to modern space-based flagship missions, observatories have been humanity's pri"
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task_categories:
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- tabular-classification
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tags:
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- open-data
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- tabular-data
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- parquet
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size_categories:
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- n<1K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/observatories.parquet
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default: true
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---
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# Observatory Database
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<div align="center">
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<img src="banner.jpg" alt="Blue Marble — high-definition image of Earth from space" width="400">
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<p><em>Credit: NASA/GSFC/Suomi NPP</em></p>
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</div>
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*Part of a [dataset collection](https://huggingface.co/collections/juliensimon/space-essentials-69cbafd7ea046a10eff11405) on Hugging Face.*
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## Dataset description
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Comprehensive database of astronomical observatories worldwide, sourced from Wikidata.
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From ancient naked-eye platforms to modern space-based flagship missions, observatories have been humanity's primary windows into the universe. This dataset covers optical telescopes, radio dishes, neutrino detectors, gamma-ray satellites, and space observatories — any facility classified in Wikidata as an astronomical observatory (Q62832), space observatory (Q1377879), or radio observatory (Q148578).
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Each entry includes geographic coordinates (latitude/longitude), elevation above sea level, primary aperture size, operating organization, opening date, and the electromagnetic wavelength bands observed. This enables spatial analysis of observatory distribution, historical studies of observational astronomy, and comparison of ground-based vs. space-based capabilities.
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Sourced from Wikidata's structured knowledge base, curated by the WikiProject Astronomy community with contributions from professional astronomers and enthusiasts worldwide.
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This dataset is suitable for **tabular classification** tasks.
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## Schema
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| Column | Type | Description | Sample | Null % |
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|--------|------|-------------|--------|--------|
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| `wikidata_id` | str | Wikidata entity ID (e.g. 'Q179224'); stable URI for enrichment and cross-referencing | Q87574922 | 0.0% |
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| `name` | string | Full official observatory name (e.g. 'Palomar Observatory', 'European Southern Observatory') | "Terrazza delle Stelle" observatory | 0.0% |
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| `country` | string | Country in which the observatory is physically located (e.g. 'United States', 'Chile'); uses full English name | Italy | 27.3% |
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| `latitude` | float64 | Geographic latitude in decimal degrees; range -90 to +90; positive = North; null if not recorded | 46.0190607 | 41.4% |
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| `longitude` | float64 | Geographic longitude in decimal degrees; range -180 to +180; positive = East; null if not recorded | 11.0402307 | 41.4% |
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| `elevation_m` | float64 | Altitude above sea level in metres; relevant for atmospheric transparency and seeing quality; range sea level to ~5,640 m (Atacama sites); null if not recorded | 124.687 | 92.4% |
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| `operator` | string | Institution or agency operating the observatory (e.g. 'NASA', 'ESO', 'Caltech'); null if not recorded in Wikidata | German Aerospace Center | 76.2% |
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| `opening_date` | string | Date the observatory was inaugurated or began operations (YYYY-MM-DD or YYYY); null if unknown | 1879-01-01 | 96.2% |
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## Quick stats
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- **46** with elevation data
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- Highest elevation: Caltech Submillimeter Observatory (13,570 m)
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- Estimated ground-based: **510**, space-based: **99**
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- Top countries: United States (110), United Kingdom (43), Italy (24), France (24), Netherlands (19)
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- Top wavelength bands:
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/observatory-database", split="train")
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df = ds.to_pandas()
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```
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/observatory-database", split="train")
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df = ds.to_pandas()
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large = df[df["aperture_m"] > 8].sort_values("aperture_m", ascending=False)
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print(large[["name", "country", "aperture_m"]])
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# Elevation distribution
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import matplotlib.pyplot as plt
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df.dropna(subset=["elevation_m"]).hist("elevation_m", bins=40)
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plt.xlabel("Elevation (m)")
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plt.ylabel("Count")
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plt.title("Observatory Elevation Distribution")
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plt.show()
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```
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## Data source
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https://www.wikidata.org/
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## Related datasets
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- [juliensimon/astronomer-database](https://huggingface.co/datasets/juliensimon/astronomer-database)
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- [juliensimon/chandra-x-ray-sources](https://huggingface.co/datasets/juliensimon/chandra-x-ray-sources)
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> If you find this dataset useful, please consider [giving it a like](https://huggingface.co/datasets/juliensimon/observatory-database) on Hugging Face. It helps others discover it.
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## About the author
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Created by [Julien Simon](https://julien.org) — AI Operating Partner at Fortino Capital. Part of the [Space Datasets](https://julien.org/datasets) collection.
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## Citation
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```bibtex
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@dataset{observatory_database,
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title = {Observatory Database},
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author = {juliensimon},
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year = {2026},
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url = {https://huggingface.co/datasets/juliensimon/observatory-database},
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publisher = {Hugging Face}
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}
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```
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## License
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[CC0-1.0](https://creativecommons.org/licenses/by/4.0/)
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banner.jpg
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Git LFS Details
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version https://git-lfs.github.com/spec/v1
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size 26934
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