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Update nebula catalog: 21,033 nebulae

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  1. README.md +15 -23
  2. data/nebulae.parquet +2 -2
README.md CHANGED
@@ -5,7 +5,7 @@ language:
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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. 60,362 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
@@ -32,7 +32,7 @@ configs:
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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 **60,362** 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
@@ -62,28 +62,20 @@ reflection (Q167278), dark (Q46587), and planetary (Q204194) nebulae.
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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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- | `distance_ly` | float | Distance from Earth (light-years) |
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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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- - **60,362** nebulae total
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- - **38,616** with equatorial coordinates
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- - **294** with distance measurements
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- - Distance range: 3 67,200,000 light-years
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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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- - **active galactic nucleus**: 17,595
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- - **summit**: 17,273
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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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@@ -96,17 +88,17 @@ df = ds.to_pandas()
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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 known distances
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- pn = df[(df["nebula_type"] == "planetary nebula") & df["distance_ly"].notna()]
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- print(pn[["name", "constellation", "distance_ly"]].sort_values("distance_ly").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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- # Largest nebulae by angular size
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- largest = df[df["angular_size"].notna()].nlargest(10, "angular_size")
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- print(largest[["name", "nebula_type", "angular_size", "constellation"]])
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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,
9
  angular sizes, and constellation assignments.
10
  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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