Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError Exception: ArrowTypeError Message: ("Expected bytes, got a 'float' object", 'Conversion failed for column metadata with type object') Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables pa_table = paj.read_json( File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head return next(iter(self.iter(batch_size=n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow for key, pa_table in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 181, in _generate_tables pa_table = pa.Table.from_pandas(df, preserve_index=False) File "pyarrow/table.pxi", line 3874, in pyarrow.lib.Table.from_pandas File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in dataframe_to_arrays arrays = [convert_column(c, f) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in <listcomp> arrays = [convert_column(c, f) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column raise e File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column result = pa.array(col, type=type_, from_pandas=True, safe=safe) File "pyarrow/array.pxi", line 339, in pyarrow.lib.array File "pyarrow/array.pxi", line 85, in pyarrow.lib._ndarray_to_array File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'float' object", 'Conversion failed for column metadata with type object')
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DESI DR1 ELG Galaxy Spectra Dataset
This dataset contains 999 Emission Line Galaxy (ELG) spectra from the Dark Energy Spectroscopic Instrument (DESI) Data Release 1, along with associated metadata. This is a curated sample of high-quality galaxy spectra suitable for research and educational purposes in astronomy and cosmology.
Dataset Contents
metadata.csv
- Galaxy properties and catalog information (999 galaxies + header)spectrum_GALAXY_*.json
- Individual spectrum files (999 files)*.py
- Analysis and visualization scripts
Metadata Columns (metadata.csv
)
Column | Description |
---|---|
targetid |
DESI target identifier |
galaxy_type |
Galaxy type classification (ELG) |
spectype |
Spectroscopic type (GALAXY) |
ra , dec |
Right ascension and declination (degrees) |
redshift |
Spectroscopic redshift |
z_bin |
Redshift bin (0.6-0.8, 0.8-1.0) |
survey |
DESI survey (main) |
program |
Observing program (dark) |
healpix |
HEALPix pixel ID |
desi_target , bgs_target , mws_target , scnd_target |
DESI targeting bitmasks |
Spectrum File Format
Each spectrum_GALAXY_*.json
file contains:
{
"metadata": {
"sparcl_id": "UUID",
"object_type": "GALAXY",
"redshift": 0.6004,
"redshift_err": 7.4e-05,
"ra": 126.957,
"dec": 3.269,
"survey": "main",
"data_release": "DESI-DR1",
"targetid": 39636661465776861
},
"data": {
"wavelength": [3600.0, 3600.8, ...], // 7781 points, 3600-9824 Å
"flux": [...], // Observed flux (10⁻¹⁷ erg/s/cm²/Å)
"model": [...], // Best-fit model
"inverse_variance": [...] // 1/σ² for flux uncertainties
}
}
Quick Start
Load metadata
import pandas as pd
metadata = pd.read_csv('metadata.csv')
print(f"Dataset contains {len(metadata)} ELG galaxies")
print(f"Redshift range: {metadata['redshift'].min():.3f} - {metadata['redshift'].max():.3f}")
Load a spectrum
import json
import numpy as np
# Load spectrum file
with open('spectrum_GALAXY_0.6004_7006c68c_20250811_152534.json', 'r') as f:
spectrum = json.load(f)
# Extract data
wavelength = np.array(spectrum['data']['wavelength'])
flux = np.array(spectrum['data']['flux'])
model = np.array(spectrum['data']['model'])
redshift = spectrum['metadata']['redshift']
print(f"Galaxy at z={redshift:.4f}")
print(f"Spectrum covers {wavelength[0]:.0f}-{wavelength[-1]:.0f} Å")
Plot a spectrum
import matplotlib.pyplot as plt
plt.figure(figsize=(12, 6))
plt.plot(wavelength, flux, 'k-', alpha=0.7, label='Observed')
plt.plot(wavelength, model, 'r-', label='Model')
plt.xlabel('Wavelength (Å)')
plt.ylabel('Flux (10⁻¹⁷ erg/s/cm²/Å)')
plt.title(f'DESI ELG Spectrum (z={redshift:.4f})')
plt.legend()
plt.grid(True, alpha=0.3)
plt.show()
Analysis Scripts
plot_desi_spectra.py
- Create multi-panel spectrum plots and redshift distributionssample_elg_galaxies.py
- Original sampling script for ELG selectionspectrum_downloader.py
- Script used to download spectra from DESI archives
Dataset Statistics
- Total galaxies: 999
- Redshift range: 0.600 - 0.948
- Spectral coverage: 3600 - 9824 Å (7781 wavelength points)
- Galaxy type: Emission Line Galaxies (ELGs)
- Survey: DESI Main Survey (dark time program)
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