Upload APOGEE DR17: 733,901 stars, 20 elements

README.md

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+---
+license: cc-by-4.0
+pretty_name: "APOGEE DR17 Stellar Parameters & Abundances"
+language:
+  - en
+description: >-
+  APOGEE DR17 AllStar catalog: high-resolution infrared spectroscopic stellar
+  parameters and 20+ individual chemical element abundances for ~657K stars.
+  The final SDSS-IV APOGEE release and the premier stellar chemical abundance catalog.
+task_categories:
+  - tabular-classification
+  - tabular-regression
+tags:
+  - space
+  - stars
+  - stellar
+  - spectroscopy
+  - chemical-abundances
+  - apogee
+  - sdss
+  - astronomy
+  - open-data
+  - tabular-data
+  - parquet
+size_categories:
+  - 100K<n<1M
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/apogee_dr17.parquet
+    default: true
+---
+
+# APOGEE DR17 Stellar Parameters & Abundances
+
+*Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.*
+
+The APOGEE DR17 AllStar catalog provides high-resolution infrared (H-band)
+spectroscopic stellar parameters and **20+ individual chemical element
+abundances** for **733,901** stars across the Milky Way. This is the final
+data release from SDSS-IV APOGEE and represents the premier stellar chemical
+abundance catalog available today.
+
+## Dataset description
+
+The Apache Point Observatory Galactic Evolution Experiment (APOGEE) is a
+large-scale, high-resolution (R ~ 22,500), near-infrared (H-band, 1.51-1.70 um)
+spectroscopic survey of Milky Way stellar populations. DR17 is the final release
+of SDSS-IV, containing the complete APOGEE-2 dataset with observations from both
+the Northern (APO 2.5m) and Southern (du Pont 2.5m at LCO) hemispheres.
+
+The ASPCAP pipeline (APOGEE Stellar Parameter and Chemical Abundances Pipeline)
+derives effective temperature, surface gravity, metallicity, and individual
+elemental abundances by comparing observed spectra against synthetic spectral
+libraries. The catalog covers a wide range of stellar types including red giants,
+red clump stars, and main-sequence stars across the Galactic disk, bulge, and halo.
+
+## Schema
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `file` | object | -- |
+| `apogee_id` | string | APOGEE unique star identifier |
+| `target_id` | object | -- |
+| `ap_star` | object | -- |
+| `ascap` | object | -- |
+| `tel` | object | -- |
+| `loc` | int64 | -- |
+| `field` | object | -- |
+| `alt_id` | object | -- |
+| `ra_deg` | float64 | Right ascension ICRS (degrees) |
+| `dec_deg` | float64 | Declination ICRS (degrees) |
+| `glon_deg` | float64 | Galactic longitude (degrees) |
+| `glat_deg` | float64 | Galactic latitude (degrees) |
+| `j_mag` | float64 | 2MASS J magnitude |
+| `j_mag_error` | float64 | -- |
+| `h_mag` | float64 | 2MASS H magnitude |
+| `h_mag_error` | float64 | -- |
+| `k_mag` | float64 | 2MASS K magnitude |
+| `e_ksmag` | float64 | -- |
+| `r_hmag` | object | -- |
+| `mmag` | float64 | -- |
+| `e_mmag` | float64 | -- |
+| `t2mag` | float64 | -- |
+| `e_t2mag` | float64 | -- |
+| `ddo51` | float64 | -- |
+| `e_ddo51` | float64 | -- |
+| `3_6mag` | float64 | -- |
+| `e_3_6mag` | float64 | -- |
+| `4_5mag` | float64 | -- |
+| `e_4_5mag` | float64 | -- |
+| `5_8mag` | float64 | -- |
+| `e_5_8mag` | float64 | -- |
+| `8_0mag` | float64 | -- |
+| `e_8_0mag` | float64 | -- |
+| `4_5mag_w` | float64 | -- |
+| `e_4_5mag_w` | float64 | -- |
+| `4_5mag_t` | float64 | -- |
+| `e_4_5mag_t` | float64 | -- |
+| `giant` | int64 | -- |
+| `star` | int64 | -- |
+| `pm_rat` | float64 | -- |
+| `pm_det` | float64 | -- |
+| `r_pm_t` | object | -- |
+| `ak_t` | float64 | -- |
+| `n_ak_t` | object | -- |
+| `ak` | float64 | -- |
+| `e(b_v)` | float64 | -- |
+| `ap1_t1` | int64 | -- |
+| `ap1_t2` | int64 | -- |
+| `ap2_t1` | int64 | -- |
+| `ap2_t2` | int64 | -- |
+| `ap2_t3` | int64 | -- |
+| `survey` | object | -- |
+| `prog` | object | -- |
+| `n_visits` | Int64 | Number of visits |
+| `snr` | float64 | Combined signal-to-noise ratio |
+| `snrev` | float64 | -- |
+| `s_flag` | int64 | -- |
+| `sa_flag` | int64 | -- |
+| `radial_velocity_kms` | float64 | Heliocentric radial velocity (km/s) |
+| `rv_scatter_kms` | float64 | RV scatter across visits (km/s) |
+| `radial_velocity_error_kms` | float64 | RV uncertainty (km/s) |
+| `teff_rv` | float64 | -- |
+| `logg_rv` | float64 | -- |
+| `fe_h_rv` | float64 | -- |
+| `chi2_rv` | float64 | -- |
+| `fwhmcc` | float64 | -- |
+| `fwhm` | float64 | -- |
+| `fl_rv` | int64 | -- |
+| `ncomp` | int64 | -- |
+| `nfib` | float64 | -- |
+| `e_nfib` | float64 | -- |
+| `hmin` | float64 | -- |
+| `hmax` | float64 | -- |
+| `j_kmin` | float64 | -- |
+| `j_kmax` | float64 | -- |
+| `gaia_source_id` | string | Gaia DR3 source ID |
+| `parallax_mas` | float64 | Parallax (mas) |
+| `parallax_error_mas` | float64 | Parallax uncertainty (mas) |
+| `pmra_mas_yr` | float64 | Proper motion in RA (mas/yr) |
+| `e_pm_ra` | float64 | -- |
+| `pmdec_mas_yr` | float64 | Proper motion in Dec (mas/yr) |
+| `e_pm_de` | float64 | -- |
+| `gaia_g_mag` | float64 | -- |
+| `gaia_bp_mag` | float64 | -- |
+| `gaia_rp_mag` | float64 | -- |
+| `gaia_radial_velocity_kms` | float64 | -- |
+| `gaia_radial_velocity_error_kms` | float64 | -- |
+| `distance_geo_pc` | float64 | -- |
+| `b_rgeo` | float64 | -- |
+| `distance_photogeo_pc` | float64 | -- |
+| `b_rpgeo` | float64 | -- |
+| `grid` | object | -- |
+| `chi2` | float64 | -- |
+| `a_flag` | int64 | -- |
+| `bad_px` | float64 | -- |
+| `low_snr` | float64 | -- |
+| `sig_sky` | float64 | -- |
+| `e_flag` | int64 | -- |
+| `p_mm` | object | -- |
+| `teff_k` | float64 | Effective temperature (K) |
+| `teff_error_k` | float64 | Teff uncertainty (K) |
+| `logg` | float64 | Surface gravity log g (dex) |
+| `logg_error` | float64 | log g uncertainty (dex) |
+| `m_h` | float64 | [M/H] abundance (dex) |
+| `m_h_error` | float64 | -- |
+| `alpha_m` | float64 | Alpha enhancement [alpha/M] (dex) |
+| `e_[a/m]` | float64 | -- |
+| `vmicro_kms` | float64 | -- |
+| `vmacro_kms` | float64 | -- |
+| `vsini_kms` | float64 | -- |
+| `teff_sp` | float64 | -- |
+| `logg_sp` | float64 | -- |
+| `c_fe` | float64 | [C/Fe] abundance (dex) |
+| `c_fe_sp` | float64 | -- |
+| `c_fe_err` | float64 | -- |
+| `c_fe_flag` | int64 | -- |
+| `ci_fe` | float64 | [CI/Fe] abundance (dex) |
+| `ci_fe_sp` | float64 | -- |
+| `ci_fe_err` | float64 | -- |
+| `ci_fe_flag` | int64 | -- |
+| `n_fe` | float64 | [N/Fe] abundance (dex) |
+| `n_fe_sp` | float64 | -- |
+| `n_fe_err` | float64 | -- |
+| `n_fe_flag` | int64 | -- |
+| `o_fe` | float64 | [O/Fe] abundance (dex) |
+| `o_fe_sp` | float64 | -- |
+| `o_fe_err` | float64 | -- |
+| `o_fe_flag` | int64 | -- |
+| `na_fe` | float64 | [NA/Fe] abundance (dex) |
+| `na_fe_sp` | float64 | -- |
+| `na_fe_err` | float64 | -- |
+| `na_fe_flag` | int64 | -- |
+| `mg_fe` | float64 | [MG/Fe] abundance (dex) |
+| `mg_fe_sp` | float64 | -- |
+| `mg_fe_err` | float64 | -- |
+| `mg_fe_flag` | int64 | -- |
+| `al_fe` | float64 | [AL/Fe] abundance (dex) |
+| `al_fe_sp` | float64 | -- |
+| `al_fe_err` | float64 | -- |
+| `al_fe_flag` | int64 | -- |
+| `si_fe` | float64 | [SI/Fe] abundance (dex) |
+| `si_fe_sp` | float64 | -- |
+| `si_fe_err` | float64 | -- |
+| `si_fe_flag` | int64 | -- |
+| `s_fe` | float64 | [S/Fe] abundance (dex) |
+| `s_fe_sp` | float64 | -- |
+| `s_fe_err` | float64 | -- |
+| `s_fe_flag` | int64 | -- |
+| `k_fe` | float64 | [K/Fe] abundance (dex) |
+| `k_fe_sp` | float64 | -- |
+| `k_fe_err` | float64 | -- |
+| `k_fe_flag` | int64 | -- |
+| `ca_fe` | float64 | [CA/Fe] abundance (dex) |
+| `ca_fe_sp` | float64 | -- |
+| `ca_fe_err` | float64 | -- |
+| `ca_fe_flag` | int64 | -- |
+| `ti_fe` | float64 | [TI/Fe] abundance (dex) |
+| `ti_fe_sp` | float64 | -- |
+| `ti_fe_err` | float64 | -- |
+| `ti_fe_flag` | int64 | -- |
+| `tiii_fe` | float64 | [TIII/Fe] abundance (dex) |
+| `tiii_fe_sp` | float64 | -- |
+| `tiii_fe_err` | float64 | -- |
+| `tiii_fe_flag` | int64 | -- |
+| `v_fe` | float64 | [V/Fe] abundance (dex) |
+| `v_fe_sp` | float64 | -- |
+| `v_fe_err` | float64 | -- |
+| `v_fe_flag` | int64 | -- |
+| `cr_fe` | float64 | [CR/Fe] abundance (dex) |
+| `cr_fe_sp` | float64 | -- |
+| `cr_fe_err` | float64 | -- |
+| `cr_fe_flag` | int64 | -- |
+| `mn_fe` | float64 | [MN/Fe] abundance (dex) |
+| `mn_fe_sp` | float64 | -- |
+| `mn_fe_err` | float64 | -- |
+| `mn_fe_flag` | int64 | -- |
+| `fe_h` | float64 | Metallicity [Fe/H] (dex) |
+| `fe_h_sp` | float64 | -- |
+| `fe_h_err` | float64 | -- |
+| `fe_h_flag` | int64 | -- |
+| `co_fe` | float64 | [CO/Fe] abundance (dex) |
+| `co_fe_sp` | float64 | -- |
+| `co_fe_err` | float64 | -- |
+| `co_fe_flag` | int64 | -- |
+| `ni_fe` | float64 | [NI/Fe] abundance (dex) |
+| `ni_fe_sp` | float64 | -- |
+| `ni_fe_err` | float64 | -- |
+| `ni_fe_flag` | int64 | -- |
+| `ce_fe` | float64 | [CE/Fe] abundance (dex) |
+| `ce_fe_sp` | float64 | -- |
+| `ce_fe_err` | float64 | -- |
+| `ce_fe_flag` | int64 | -- |
+| `dr16` | int64 | -- |
+
+## Quick stats
+
+- **733,901** stars total
+- **689,024** with effective temperature
+- **647,042** with [Fe/H] metallicity
+- **20** individual abundance elements
+- Teff range: **3088** -- **19870** K
+- [Fe/H] range: **-2.47** to **0.96** dex
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("juliensimon/apogee-dr17", split="train")
+df = ds.to_pandas()
+
+# Kiel diagram (Teff vs log g)
+import matplotlib.pyplot as plt
+valid = df.dropna(subset=["teff_k", "logg"])
+plt.scatter(valid["teff_k"], valid["logg"], c=valid["fe_h"],
+            s=0.1, alpha=0.3, cmap="coolwarm", vmin=-2, vmax=0.5)
+plt.gca().invert_xaxis()
+plt.gca().invert_yaxis()
+plt.xlabel("Teff (K)")
+plt.ylabel("log g (dex)")
+plt.colorbar(label="[Fe/H]")
+plt.title("APOGEE DR17 Kiel Diagram")
+
+# [Mg/Fe] vs [Fe/H] — chemical evolution
+if "mg_fe" in df.columns:
+    valid = df.dropna(subset=["fe_h", "mg_fe"])
+    plt.figure()
+    plt.scatter(valid["fe_h"], valid["mg_fe"], s=0.1, alpha=0.2)
+    plt.xlabel("[Fe/H] (dex)")
+    plt.ylabel("[Mg/Fe] (dex)")
+    plt.title("Chemical Evolution: [Mg/Fe] vs [Fe/H]")
+```
+
+## Data source
+
+Abdurro'uf et al. (2022), "The Seventeenth Data Release of the Sloan Digital
+Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data", ApJS, 259, 35.
+Accessed via [VizieR III/286](https://vizier.cds.unistra.fr/viz-bin/VizieR?-source=III/286),
+CDS Strasbourg.
+
+## Related datasets
+
+- [rave-dr6](https://huggingface.co/datasets/juliensimon/rave-dr6) -- RAVE DR6 stellar parameters and chemical abundances
+- [wolf-rayet-stars](https://huggingface.co/datasets/juliensimon/wolf-rayet-stars) -- Galactic Wolf-Rayet star catalog
+- [brown-dwarf-catalog](https://huggingface.co/datasets/juliensimon/brown-dwarf-catalog) -- Brown dwarf catalog
+
+## Pipeline
+
+Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
+
+## Support
+
+If you find this dataset useful, please give it a heart on the [dataset page](https://huggingface.co/datasets/juliensimon/apogee-dr17) and share feedback in the Community tab! Also consider giving a star to the [space-datasets](https://github.com/juliensimon/space-datasets) repo.
+
+## Citation
+
+```bibtex
+@dataset{apogee_dr17,
+  author = {Simon, Julien},
+  title = {APOGEE DR17 Stellar Parameters & Abundances},
+  year = {2026},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/datasets/juliensimon/apogee-dr17},
+  note = {Based on Abdurro'uf et al. (2022, ApJS 259 35) via VizieR CDS Strasbourg}
+}
+```
+
+## License
+
+[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

data/apogee_dr17.parquet

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