Published May 21, 2026 | Version V1
Dataset Open

Data and Code: Dwarf/Irregular Galaxy HI Rotation Curve Corpus v1.0

  • 1. EPS Research

Description

## Dwarf/Irregular Galaxy HI Rotation Curve Corpus v1.0

HI rotation curve data for **129 dwarf and irregular galaxies** from four Local Volume surveys:
LVHIS (33), VLA-ANGST (29), LITTLE THINGS (26), and WALLABY DR2 (41).

This is the third in a series of unified kinematic corpora by Flynn (2026), focusing on
the dwarf and irregular galaxy regime where dark matter fractions are higher and baryonic
physics simpler. Designed to support RAG applications and kinematic analysis.

**Selection:** All LVHIS, VLA-ANGST, and LITTLE THINGS galaxies with published HI rotation
curves, plus WALLABY dwarfs filtered from v7.0. Six massive spirals/ellipticals excluded
(NGC 253, NGC 1313, NGC 4945, NGC 5128, NGC 5236, Circinus).

**Quality:** 26 Tier 1 (full tilted-ring rotation curves), 103 Tier 2 (seed/profile-width
estimates). 24 galaxies are omega-ready (LITTLE THINGS, n_points >= 5, kinematically regular).

**Key finding:** All 24 outer gaps V_adj(R2) - V_obs(R2) are negative, consistent with
Flynn (2026) across 84 SPARC spirals. Median omega = 9.94 rad/Gyr (SPARC mean: 7.06),
suggesting the omega kinematic regularity persists into the dark-matter-dominated dwarf regime.

**Contents:**
- dwarf_irregular_corpus_v1.json — full corpus (129 galaxies, complete schema)
- dwarf_irregular_corpus_v1.jsonl — one galaxy per line (RAG-ready)
- dwarf_irregular_corpus_v1_flat.csv — flat summary table (32 columns)
- dwarf_irregular_corpus_v1_by_galaxy.zip — one JSON per galaxy
- rag_examples_v1.json — three worked RAG examples including DDO 154 omega computation
- omega_results_dwarfs.csv — per-galaxy omega results (24 galaxies)
- fig_ddo154_omega.png — DDO 154 four-curve rotation curve decomposition
- compute_omega_dwarfs.py — omega computation script (Eqs 1-3)
- formula_reference.py — all 6 paper equations with self-tests
- build_corpus.py, schema_validator.py, lvhis_ingest.py, vla_angst_ingest.py,
  wallaby_dwarf_filter.py — corpus assembly and validation scripts
- README.md — full documentation

**Research arc:**
1. Flynn & Cannaliato (2025), Frontiers Astron Space Sci. DOI: 10.3389/fspas.2025.1680387
2. Flynn (2026), Baryonic Validation across 84 SPARC galaxies. Submitted to New Astronomy
   (NEWAST-D-26-00207). Preprint: DOI: 10.5281/zenodo.20132805
3. Flynn (2026), Unified HI Corpus v7.0. A&C (ASCOM-D-26-00129).
   DOI: 10.5281/zenodo.19563417
4. This corpus — target venue: PASP.

**Primary survey references:**
- LVHIS: Koribalski et al. (2019), MNRAS 483, 4
- VLA-ANGST: Ott et al. (2012), AJ 144, 123
- LITTLE THINGS: Oh et al. (2015), AJ 149, 180
- WALLABY DR2: Koribalski et al. (2020), Ap&SS 365, 118
  (Note: HI mass, rhi, and hubble_type absent for WALLABY entries —
  not published in DR2 blind survey catalog)

Generated: 2026-05-21

Files

dwarf_irregular_corpus_v1.json

Files (1.1 MB)

Name Size Download all
md5:7a496cdf8d44b01354741c4d5590231a
28.4 kB Download
md5:598a167279eae744120449e92717f5c7
9.1 kB Download
md5:237bd2f13db877767be5fc6c24dfc8aa
418.8 kB Preview Download
md5:1e6b9ea645d7ede9af708c79739e0ad4
296.1 kB Download
md5:7ba57ce749b3e0596b38e7727cde38aa
148.5 kB Preview Download
md5:801e2c429f0fb1808e608b37c31de32a
30.2 kB Preview Download
md5:f5524eeaa417522d52c0501f1efb0423
78.8 kB Preview Download
md5:008e2be84364b8fae5adebc534015e21
13.9 kB Download
md5:266ab7d0c542faecc95f794cb89125b2
23.3 kB Download
md5:9ebb7f0c833627e1a646ee027c70810b
2.4 kB Preview Download
md5:d00c754d82bee0024dfb1410dba9988a
8.4 kB Preview Download
md5:2f8e3c9b00ec16cef1d824a524ab8305
9.8 kB Preview Download
md5:54e7250f8991f4be90d14ccb7e928400
13.1 kB Download
md5:ef452365cb547cdd378d4279cd439615
16.1 kB Download
md5:0df67fe8c29b699853ae49b4d11f5a03
10.8 kB Download
md5:5e2d8aa12e2608a6d0eb9a727e96fc8f
2.7 kB Preview Download

Additional details

Related works

Is part of
Journal article: 10.3389/fspas.2025.1680387 (DOI)
Preprint: 10.5281/zenodo.20132805 (DOI)
Dataset: 10.5281/zenodo.19563417 (DOI)
Dataset: 10.5281/zenodo.19907766 (DOI)

Software

Programming language
Python

References