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Update observatory database: 609 observatories

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  1. README.md +53 -60
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README.md CHANGED
@@ -3,12 +3,7 @@ license: cc0-1.0
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  pretty_name: "Observatory Database"
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  language:
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  - en
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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:
@@ -20,52 +15,52 @@ 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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  ---
30
 
31
  # Observatory Database
32
 
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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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35
- Comprehensive database of astronomical observatories — **609** facilities from
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- **60** countries, sourced from [Wikidata](https://www.wikidata.org/).
 
 
 
 
 
37
 
38
  ## Dataset description
39
 
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- From ancient naked-eye platforms to modern space-based flagship missions, observatories
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- have been humanity's primary windows into the universe. This dataset covers optical
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- telescopes, radio dishes, neutrino detectors, gamma-ray satellites, and space observatories —
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- any facility classified in Wikidata as an astronomical observatory (Q62832), space
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- observatory (Q1377879), or radio observatory (Q148578).
 
 
45
 
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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,
49
- historical studies of observational astronomy, and comparison of ground-based vs.
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- space-based capabilities.
51
 
52
- Sourced from Wikidata's structured knowledge base, curated by the WikiProject Astronomy
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- community with contributions from professional astronomers and enthusiasts worldwide.
54
 
55
  ## Schema
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- | Column | Type | Description |
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- |--------|------|-------------|
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- | `wikidata_id` | string | Wikidata entity ID (e.g. Q179224) |
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- | `name` | string | Observatory name |
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- | `country` | string | Country where the observatory is located |
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- | `latitude` | float | Geographic latitude (decimal degrees) |
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- | `longitude` | float | Geographic longitude (decimal degrees) |
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- | `elevation_m` | float | Elevation above sea level (metres) |
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- | `aperture_m` | float | Primary mirror/dish aperture (metres) |
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- | `operator` | string | Operating organization or agency |
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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
71
 
@@ -75,7 +70,7 @@ community with contributions from professional astronomers and enthusiasts world
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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 (109), United Kingdom (43), Italy (25), France (24), Netherlands (19)
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  - Top wavelength bands:
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  ## Usage
@@ -83,6 +78,13 @@ community with contributions from professional astronomers and enthusiasts world
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  ```python
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  from datasets import load_dataset
85
 
 
 
 
 
 
 
 
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  ds = load_dataset("juliensimon/observatory-database", split="train")
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  df = ds.to_pandas()
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@@ -97,52 +99,43 @@ print(high_alt[["name", "country", "elevation_m"]].head(10))
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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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- # Radio observatories
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- radio = df[df["wavelengths"].str.contains("radio", case=False, na=False)]
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- print(f"{len(radio):,} radio observatories")
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-
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- # Space observatories
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- space_obs = df[df["wavelengths"].str.contains("X-ray|gamma|ultraviolet", case=False, na=False)]
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- print(space_obs[["name", "wavelengths"]].head(10))
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  ```
108
 
109
  ## Data source
110
 
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- [Wikidata](https://www.wikidata.org/) SPARQL endpoint. Observatories identified via
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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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-
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- ## Update schedule
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-
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- Quarterly (January, April, July, October). Re-run manually to pick up newly catalogued facilities.
119
 
120
  ## Related datasets
121
 
122
- - [astronomer-database](https://huggingface.co/datasets/juliensimon/astronomer-database) — Astronomers from Wikidata
123
- - [chandra-sources](https://huggingface.co/datasets/juliensimon/chandra-sources) — Chandra X-ray source catalog
124
 
125
- ## Pipeline
126
 
127
- Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
128
 
129
- ## Support
130
 
131
- If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/observatory-database) and share feedback in the Community tab! Also consider giving a ⭐️ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo.
132
 
133
  ## Citation
134
 
135
  ```bibtex
136
  @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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- note = {Sourced from Wikidata (CC0)}
143
  }
144
  ```
145
 
146
  ## License
147
 
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- [CC0-1.0](https://creativecommons.org/publicdomain/zero/1.0/) (Wikidata content is public domain)
 
3
  pretty_name: "Observatory Database"
4
  language:
5
  - en
6
+ 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"
 
 
 
 
 
7
  task_categories:
8
  - tabular-classification
9
  tags:
 
15
  - open-data
16
  - tabular-data
17
  - parquet
18
+ size_categories:
19
+ - n<1K
20
  configs:
21
  - config_name: default
 
22
  data_files:
23
  - split: train
24
  path: data/observatories.parquet
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+ default: true
26
  ---
27
 
28
  # Observatory Database
29
 
 
30
 
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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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+
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+
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+ *Part of a [dataset collection](https://huggingface.co/collections/juliensimon/space-essentials-69cbafd7ea046a10eff11405) on Hugging Face.*
38
 
39
  ## Dataset description
40
 
41
+ Comprehensive database of astronomical observatories worldwide, sourced from Wikidata.
42
+
43
+ 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).
44
+
45
+ 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.
46
+
47
+ Sourced from Wikidata's structured knowledge base, curated by the WikiProject Astronomy community with contributions from professional astronomers and enthusiasts worldwide.
48
 
 
 
 
 
 
49
 
50
+ This dataset is suitable for **tabular classification** tasks.
 
51
 
52
  ## Schema
53
 
54
+ | 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% |
 
 
64
 
65
  ## Quick stats
66
 
 
70
  - **46** with elevation data
71
  - Highest elevation: Caltech Submillimeter Observatory (13,570 m)
72
  - Estimated ground-based: **510**, space-based: **99**
73
+ - Top countries: United States (110), United Kingdom (43), Italy (24), France (24), Netherlands (19)
74
  - Top wavelength bands:
75
 
76
  ## Usage
 
78
  ```python
79
  from datasets import load_dataset
80
 
81
+ ds = load_dataset("juliensimon/observatory-database", split="train")
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+ df = ds.to_pandas()
83
+ ```
84
+
85
+ ```python
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+ from datasets import load_dataset
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+
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  ds = load_dataset("juliensimon/observatory-database", split="train")
89
  df = ds.to_pandas()
90
 
 
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  large = df[df["aperture_m"] > 8].sort_values("aperture_m", ascending=False)
100
  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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111
  ## Data source
112
 
113
+ https://www.wikidata.org/
 
 
 
 
 
 
 
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115
  ## Related datasets
116
 
117
+ - [juliensimon/astronomer-database](https://huggingface.co/datasets/juliensimon/astronomer-database)
 
118
 
119
+ - [juliensimon/chandra-x-ray-sources](https://huggingface.co/datasets/juliensimon/chandra-x-ray-sources)
120
 
121
+ > 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.
122
 
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+ ## About the author
124
 
125
+ Created by [Julien Simon](https://julien.org) AI Operating Partner at Fortino Capital. Part of the [Space Datasets](https://julien.org/datasets) collection.
126
 
127
  ## Citation
128
 
129
  ```bibtex
130
  @dataset{observatory_database,
 
131
  title = {Observatory Database},
132
+ author = {juliensimon},
133
  year = {2026},
 
134
  url = {https://huggingface.co/datasets/juliensimon/observatory-database},
135
+ publisher = {Hugging Face}
136
  }
137
  ```
138
 
139
  ## License
140
 
141
+ [CC0-1.0](https://creativecommons.org/licenses/by/4.0/)
banner.jpg ADDED

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