juliensimon/geneva-copenhagen-stellar-survey

---
license: cc-by-4.0
pretty_name: "Geneva-Copenhagen Survey of Solar Neighbourhood"
language:
- en
description: "Geneva-Copenhagen Survey of F and G dwarf stars in the solar neighbourhood: ages, metallicities, and Galactic kinematics for 16,682 stars. Sourced via VizieR CDS Strasbourg."
task_categories:
- tabular-classification
tags:
- space
- stars
- stellar-ages
- kinematics
- astronomy
- open-data
- tabular-data
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/geneva_copenhagen_survey.parquet
default: true
---

# Geneva-Copenhagen Survey of Solar Neighbourhood

*Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.*

The Geneva-Copenhagen Survey (GCS) is a comprehensive catalog of **16,682** F and G dwarf
stars in the solar neighbourhood, providing ages, metallicities, and full 3D space velocities.
It is one of the most widely used datasets for studying the chemical and dynamical evolution
of the Milky Way disk.

## Dataset description

The GCS combines Stromgren photometry, Hipparcos astrometry, and radial velocities to derive
fundamental stellar parameters. The third revision (Casagrande et al. 2011) provides improved
effective temperatures based on the infrared flux method and re-derived ages, metallicities,
and kinematics. This catalog is essential for studies of the age-metallicity relation,
Galactic chemical evolution, and stellar population kinematics in the solar neighbourhood.

## Schema

| Column | Type | Description |
|--------|------|-------------|
| `hip_id` | Int64 | Hipparcos identifier |
| `name` | string | Star name |
| `m_Name` | object | — |
| `fb` | int64 | — |
| `fc` | int64 | — |
| `ra_deg` | float64 | Right ascension J2000 (degrees) |
| `dec_deg` | float64 | Declination J2000 (degrees) |
| `parallax_mas` | float64 | Parallax (mas) |
| `parallax_err_mas` | float64 | Parallax uncertainty (mas) |
| `logTe` | float64 | — |
| `fe_h` | float64 | Metallicity [Fe/H] (dex) |
| `distance_pc` | float64 | Distance (pc) |
| `VMag` | float64 | — |
| `e_VMag` | float64 | — |
| `age` | float64 | — |
| `clage` | float64 | — |
| `chage` | float64 | — |
| `UVel` | float64 | — |
| `VVel` | float64 | — |
| `WVel` | float64 | — |
| `Rmin` | float64 | — |
| `Rmax` | float64 | — |
| `eccentricity` | float64 | Orbital eccentricity |
| `zmax` | float64 | — |
| `v_mag` | float64 | Visual magnitude |
| `b_y` | float64 | Stromgren b-y color index |
| `m1` | float64 | Stromgren m1 metallicity index |
| `c1` | float64 | Stromgren c1 luminosity index |

## Quick stats

- **16,682** solar neighbourhood F/G dwarf stars
- **0** with effective temperature
- **16,394** with metallicity [Fe/H]
- **0** with age estimate
- **0** with full UVW space velocities

## Usage

```python
from datasets import load_dataset

ds = load_dataset("juliensimon/geneva-copenhagen-stellar-survey", split="train")
df = ds.to_pandas()

# Age-metallicity relation
import matplotlib.pyplot as plt
valid = df.dropna(subset=["fe_h", "log_age"])
plt.scatter(valid["log_age"], valid["fe_h"], s=0.5, alpha=0.3)
plt.xlabel("Log Age (log yr)")
plt.ylabel("[Fe/H] (dex)")
plt.title("Age-Metallicity Relation (GCS)")

# Toomre diagram (kinematic populations)
valid = df.dropna(subset=["u_vel_km_s", "v_vel_km_s", "w_vel_km_s"])
v_total = (valid["u_vel_km_s"]**2 + valid["w_vel_km_s"]**2)**0.5
plt.figure()
plt.scatter(valid["v_vel_km_s"], v_total, s=0.5, alpha=0.3)
plt.xlabel("V (km/s)")
plt.ylabel("(U² + W²)^0.5 (km/s)")
plt.title("Toomre Diagram (GCS)")
```

## Data source

[Geneva-Copenhagen Survey III](https://ui.adsabs.harvard.edu/abs/2011A%26A...530A.138C/abstract)
(Casagrande L., Schoenrich R., Asplund M., et al., 2011, A&A, 530, A138),
accessed via [VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg.

## Related datasets

- [hipparcos-catalog](https://huggingface.co/datasets/juliensimon/hipparcos-catalog) -- Hipparcos astrometric catalog
- [gaia-dr3-nearby-stars](https://huggingface.co/datasets/juliensimon/gaia-dr3-nearby-stars) -- Gaia DR3 nearby stars
- [exoplanets](https://huggingface.co/datasets/juliensimon/exoplanets) -- NASA Exoplanet Archive

## Pipeline

Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)

## Citation

```bibtex
@dataset{geneva_copenhagen_survey,
author = {Simon, Julien},
title = {Geneva-Copenhagen Survey of Solar Neighbourhood},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/juliensimon/geneva-copenhagen-stellar-survey},
note = {Based on Casagrande et al. (2011, A&A 530 A138) via VizieR CDS Strasbourg}
}
```

## License

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

许可证：CC-BY-4.0
规范名称："太阳邻域日内瓦-哥本哈根巡天（Geneva-Copenhagen Survey of Solar Neighbourhood）"
语言：
- 英语
数据集描述："本数据集为太阳邻域16682颗F型与G型矮星的日内瓦-哥本哈根巡天数据，包含恒星年龄、金属丰度与银河系运动学参数，数据通过斯特拉斯堡CDS的VizieR平台获取。"
任务类别：
- 表格分类
标签：
- 空间科学
- 恒星
- 恒星年龄
- 运动学
- 天文学
- 开放数据
- 表格数据
数据规模：
- 10000 < 样本数 < 100000
配置项：
- 配置名称：default
数据文件：
- 拆分方式：训练集（train）
路径：data/geneva_copenhagen_survey.parquet
为默认配置

# 太阳邻域日内瓦-哥本哈根巡天
*本数据集为Hugging Face平台上的[天文学数据集合集（Astronomy Datasets）](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743)的一部分。*

日内瓦-哥本哈根巡天（Geneva-Copenhagen Survey，简称GCS）是一份涵盖太阳邻域**16682颗**F型与G型矮星的综合星表，提供恒星年龄、金属丰度与完整的三维空间速度信息，是研究银河系盘化学与动力学演化的最常用数据集之一。

## 数据集说明
GCS结合了斯特龙根测光（Stromgren photometry）、依巴谷天体测量（Hipparcos astrometry）与径向速度数据来推导恒星基本参数。其第三次修订版（Casagrande等人，2011年）基于红外通量方法提供了优化的有效温度，并重新推导了恒星年龄、金属丰度与运动学参数。该星表是研究太阳邻域年龄-金属丰度关系、银河系化学演化与恒星群体运动学的核心数据集。

## 数据结构
| 列名 | 数据类型 | 说明 |
|--------|------|-------------|
| `hip_id` | Int64 | 依巴谷星表标识符 |
| `name` | string | 恒星名称 |
| `m_Name` | object | — |
| `fb` | int64 | — |
| `fc` | int64 | — |
| `ra_deg` | float64 | J2000坐标系赤经（度） |
| `dec_deg` | float64 | J2000坐标系赤纬（度） |
| `parallax_mas` | float64 | 视差（毫角秒） |
| `parallax_err_mas` | float64 | 视差不确定度（毫角秒） |
| `logTe` | float64 | — |
| `fe_h` | float64 | 金属丰度[Fe/H]（dex） |
| `distance_pc` | float64 | 距离（秒差距） |
| `VMag` | float64 | — |
| `e_VMag` | float64 | — |
| `age` | float64 | — |
| `clage` | float64 | — |
| `chage` | float64 | — |
| `UVel` | float64 | — |
| `VVel` | float64 | — |
| `WVel` | float64 | — |
| `Rmin` | float64 | — |
| `Rmax` | float64 | — |
| `eccentricity` | float64 | 轨道偏心率 |
| `zmax` | float64 | — |
| `v_mag` | float64 | 视星等 |
| `b_y` | float64 | 斯特龙根b-y色指数 |
| `m1` | float64 | 斯特龙根m1金属丰度指数 |
| `c1` | float64 | 斯特龙根c1光度指数 |

## 快速统计
- **16682颗**太阳邻域F/G型矮星
- 0颗带有有效温度数据
- **16394颗**带有[Fe/H]金属丰度数据
- 0颗带有年龄估算值
- 0颗带有完整UVW三维空间速度数据

## 使用方法
python
from datasets import load_dataset

ds = load_dataset("juliensimon/geneva-copenhagen-stellar-survey", split="train")
df = ds.to_pandas()

# Age-metallicity relation
import matplotlib.pyplot as plt
valid = df.dropna(subset=["fe_h", "log_age"])
plt.scatter(valid["log_age"], valid["fe_h"], s=0.5, alpha=0.3)
plt.xlabel("Log Age (log yr)")
plt.ylabel("[Fe/H] (dex)")
plt.title("Age-Metallicity Relation (GCS)")

# Toomre diagram (kinematic populations)
valid = df.dropna(subset=["u_vel_km_s", "v_vel_km_s", "w_vel_km_s"])
v_total = (valid["u_vel_km_s"]**2 + valid["w_vel_km_s"]**2)**0.5
plt.figure()
plt.scatter(valid["v_vel_km_s"], v_total, s=0.5, alpha=0.3)
plt.xlabel("V (km/s)")
plt.ylabel("(U² + W²)^0.5 (km/s)")
plt.title("Toomre Diagram (GCS)")

## 数据来源
[日内瓦-哥本哈根巡天第三版（Geneva-Copenhagen Survey III）](https://ui.adsabs.harvard.edu/abs/2011A%26A...530A.138C/abstract)（Casagrande L.、Schoenrich R.、Asplund M.等人，2011年，《A&A》，第530卷，A138页），通过斯特拉斯堡CDS的[VizieR](https://vizier.cds.unistra.fr/)平台获取。

## 相关数据集
- [依巴谷星表（hipparcos-catalog）](https://huggingface.co/datasets/juliensimon/hipparcos-catalog)——依巴谷天体测量星表
- [盖亚DR3邻近恒星（gaia-dr3-nearby-stars）](https://huggingface.co/datasets/juliensimon/gaia-dr3-nearby-stars)——盖亚DR3邻近恒星数据集
- [系外行星（exoplanets）](https://huggingface.co/datasets/juliensimon/exoplanets)——NASA系外行星档案馆数据集

## 数据处理流程
源代码：[juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)

## 引用格式
bibtex
@dataset{geneva_copenhagen_survey,
author = {Simon, Julien},
title = {Geneva-Copenhagen Survey of Solar Neighbourhood},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/juliensimon/geneva-copenhagen-stellar-survey},
note = {Based on Casagrande et al. (2011, A&A 530 A138) via VizieR CDS Strasbourg}
}

## 许可证
[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)