Datasets:
Update nebula catalog: 21,033 nebulae
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- data/nebulae.parquet +2 -2
README.md
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description: >-
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Catalog of nebulae sourced from Wikidata, covering emission, reflection,
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dark, and planetary nebulae.
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angular sizes, and constellation assignments.
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size_categories:
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- 10K<n<100K
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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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A comprehensive catalog of **
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covering emission, reflection, dark, and planetary nebulae across the sky.
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## Dataset description
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| `constellation` | string | Host constellation |
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| `ra_deg` | float | Right ascension (degrees) |
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| `dec_deg` | float | Declination (degrees) |
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| `angular_size` | float | Angular size (arcminutes) |
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| `catalog_id` | string | Catalog identifier (NGC, IC, Messier, etc.) |
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## Quick stats
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- Top constellations: Boötes (2,663), Aquila (2,363), Scutum (1,751), Sagittarius (1,688), Scorpius (1,667)
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### Breakdown by type
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- **dark nebula**: 21,031
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- **hill**: 2,696
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- **mountain**: 1,539
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- **spiral galaxy**: 131
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- **volcano**: 16
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- **star**: 15
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## Usage
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# Count by nebula type
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print(df["nebula_type"].value_counts())
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# Planetary nebulae with
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pn = df[(df["nebula_type"] == "planetary nebula") & df["
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print(pn[["name", "constellation", "
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# Nebulae in Orion
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orion = df[df["constellation"] == "Orion"]
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print(f"{len(orion):,} nebulae in Orion")
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#
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print(
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```
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## Data source
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- en
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description: >-
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Catalog of nebulae sourced from Wikidata, covering emission, reflection,
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dark, and planetary nebulae. 21,033 entries with coordinates, distances,
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angular sizes, and constellation assignments.
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size_categories:
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- 10K<n<100K
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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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A comprehensive catalog of **21,033** nebulae sourced from [Wikidata](https://www.wikidata.org/),
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covering emission, reflection, dark, and planetary nebulae across the sky.
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## Dataset description
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| `constellation` | string | Host constellation |
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| `ra_deg` | float | Right ascension (degrees) |
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| `dec_deg` | float | Declination (degrees) |
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| `catalog_id` | string | Catalog identifiers (NGC, IC, Messier, etc.; semicolon-separated) |
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## Quick stats
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- **21,033** nebulae total
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- **20,864** with equatorial coordinates
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- **21,033** with catalog identifiers
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- Top constellations: Aquila (2,352), Scutum (1,750), Scorpius (1,656), Sagittarius (1,648), Cygnus (1,409)
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### Breakdown by type
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- **dark nebula**: 21,031
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- **emission nebula**: 1
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- **reflection nebula**: 1
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## Usage
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# Count by nebula type
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print(df["nebula_type"].value_counts())
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# Planetary nebulae with coordinates
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pn = df[(df["nebula_type"] == "planetary nebula") & df["ra_deg"].notna()]
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print(pn[["name", "constellation", "ra_deg", "dec_deg"]].head(10))
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# Nebulae in Orion
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orion = df[df["constellation"] == "Orion"]
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print(f"{len(orion):,} nebulae in Orion")
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# Dark nebulae
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dark = df[df["nebula_type"] == "dark nebula"]
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print(f"{len(dark):,} dark nebulae")
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```
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## Data source
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data/nebulae.parquet
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size 456668
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