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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    UnidentifiedImageError
Message:      cannot identify image file <_io.BytesIO object at 0x7fdceba57290>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2159, in _apply_feature_types_on_example
                  decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2204, in decode_example
                  column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1508, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 190, in decode_example
                  image = PIL.Image.open(bytes_)
                          ^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/PIL/Image.py", line 3498, in open
                  raise UnidentifiedImageError(msg)
              PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fdceba57290>

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ASTRA-DESI EDR mirror

Mirror of the ASTRA-DESI EDR probabilistic environment catalog (Zapata-Zuluaga et al. 2026, arXiv:2604.01456 / Zenodo 10.5281/zenodo.19358024) for durability and reproducibility of the bigbounce P5 paper (Environmental Dependence of Spiral Chirality Across DESI LSS).

Original source

Zenodo DOI: 10.5281/zenodo.19358024 arXiv: https://arxiv.org/abs/2604.01456 GitHub: https://github.com/forero/ASTRA-DESI

Files

  • classification/zone_XX_classified.fits.gz (20 files, ~5.6 GB total uncompressed): per-galaxy + per-random classifications across 20 ASTRA realizations. Columns: TARGETID, RANDITER, ISDATA, NDATA, NRAND, TRACER_ID, TRACERTYPE.
  • probabilities/zone_XX_probability.fits.gz (20 files, ~6 MB): per- galaxy void/sheet/filament/knot membership probabilities aggregated across the 100 random realizations. Columns: TARGETID, TRACERTYPE, PVOID, PSHEET, PFILAMENT, PKNOT. This is the primary usage file for per-object cross-validation against deterministic classifiers (e.g., the V-Web run in bigbounce P5).
  • raw/zone_XX.fits.gz (20 files, ~3 GB total uncompressed): input galaxy + random catalog rows with positional + photometric attributes. Columns: TARGETID, RA, DEC, Z, XCART, YCART, ZCART, TRACERTYPE, RANDITER, SED_SFR, SED_MASS, FLUX_G, FLUX_R.

Total galaxies across 20 zones: 657,306 unique TARGETIDs (BGS_ANY 241,746 + LRG 112,649 + ELG 267,345 + QSO 35,566).

Citation

If you use this mirror, please cite the original ASTRA-DESI paper:

@article{ASTRADESI2026,
  author = {Zapata-Zuluaga et al.},
  title = {ASTRA-DESI: per-galaxy void/sheet/filament/knot membership probabilities on the DESI Early Data Release},
  journal = {arXiv preprint},
  eprint = {2604.01456},
  year = {2026},
}

bigbounce usage

The bigbounce P5 paper cross-matches this catalog per-galaxy against the P5 deduped-primary matched-spiral catalog and the V-Web env catalog, recovering N_overlap = 25,186 spirals with all three labels. The cross-match finds that both V-Web (deterministic) and ASTRA (probabilistic) recover the same headline null (max |sigma_from_half| ~2.0-2.7, no class clears Bonferroni K=4 alpha=0.01) despite disagreeing strongly on per-galaxy class assignment — a publication-grade robustness result.

Mirror created: 2026-05-26.
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Number of rows:
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Total file size:
9.5 GB

Paper for bamfai/astra-desi-edr-mirror