Datasets:
MOM0 float32 | HPXINDEX int64 | RA2000 float64 | DEC2000 float64 | GLON float64 | GLAT float64 |
|---|---|---|---|---|---|
89,869,656,019,620,070,000 | 0 | 192.90971 | 27.137879 | 45 | 89.954315 |
93,083,062,314,679,140,000 | 1 | 192.848771 | 27.173011 | 135 | 89.954315 |
92,413,618,063,037,960,000 | 2 | 192.809314 | 27.118776 | 225 | 89.954315 |
91,172,594,890,720,670,000 | 3 | 192.870236 | 27.08366 | 315 | 89.954315 |
83,304,982,263,564,860,000 | 4 | 192.960461 | 27.111756 | 22.5 | 89.908629 |
98,318,602,434,613,610,000 | 5 | 192.944087 | 27.180153 | 67.5 | 89.908629 |
93,500,252,210,629,440,000 | 6 | 192.878112 | 27.218195 | 112.5 | 89.908629 |
87,588,829,098,961,530,000 | 7 | 192.801218 | 27.203564 | 157.5 | 89.908629 |
94,255,942,154,353,380,000 | 8 | 192.758525 | 27.144844 | 202.5 | 89.908629 |
93,411,218,157,058,650,000 | 9 | 192.775007 | 27.076468 | 247.5 | 89.908629 |
91,177,133,674,720,130,000 | 10 | 192.840933 | 27.038474 | 292.5 | 89.908629 |
89,777,015,567,910,170,000 | 11 | 192.917719 | 27.053084 | 337.5 | 89.908629 |
83,462,238,814,615,900,000 | 12 | 193.00597 | 27.086062 | 15 | 89.862944 |
87,032,819,262,934,750,000 | 13 | 193.010141 | 27.15691 | 45 | 89.862944 |
98,103,678,697,708,980,000 | 14 | 192.973922 | 27.220119 | 75 | 89.862944 |
92,938,876,757,859,100,000 | 15 | 192.906978 | 27.258726 | 105 | 89.862944 |
86,927,626,786,482,160,000 | 16 | 192.827273 | 27.26236 | 135 | 89.862944 |
88,074,909,995,461,770,000 | 17 | 192.756234 | 27.230042 | 165 | 89.862944 |
98,135,942,766,914,440,000 | 18 | 192.712936 | 27.170458 | 195 | 89.862944 |
97,372,996,046,447,180,000 | 19 | 192.708952 | 27.099601 | 225 | 89.862944 |
99,522,585,259,214,370,000 | 20 | 192.745281 | 27.036461 | 255 | 89.862944 |
96,276,967,671,507,980,000 | 21 | 192.812149 | 26.99793 | 285 | 89.862944 |
98,164,600,437,980,790,000 | 22 | 192.891666 | 26.994305 | 315 | 89.862944 |
89,989,318,069,094,190,000 | 23 | 192.962595 | 27.026555 | 345 | 89.862944 |
83,626,400,298,689,360,000 | 24 | 193.050196 | 27.060693 | 11.25 | 89.817258 |
83,839,089,827,966,350,000 | 25 | 193.064822 | 27.130796 | 33.75 | 89.817258 |
95,739,051,398,827,870,000 | 26 | 193.048189 | 27.200545 | 56.25 | 89.817258 |
91,222,477,534,249,620,000 | 27 | 193.002779 | 27.259313 | 78.75 | 89.817258 |
88,211,135,088,096,700,000 | 28 | 192.935484 | 27.298128 | 101.25 | 89.817258 |
86,763,298,176,641,270,000 | 29 | 192.856572 | 27.311059 | 123.75 | 89.817258 |
84,993,568,241,038,130,000 | 30 | 192.778109 | 27.296128 | 146.25 | 89.817258 |
92,314,195,823,607,940,000 | 31 | 192.712091 | 27.255619 | 168.75 | 89.817258 |
99,429,373,061,458,030,000 | 32 | 192.66859 | 27.195722 | 191.25 | 89.817258 |
98,792,395,189,161,820,000 | 33 | 192.654203 | 27.125578 | 213.75 | 89.817258 |
94,835,771,810,284,300,000 | 34 | 192.67107 | 27.055875 | 236.25 | 89.817258 |
104,601,818,806,144,200,000 | 35 | 192.716572 | 26.997214 | 258.75 | 89.817258 |
101,407,288,926,710,800,000 | 36 | 192.783762 | 26.958503 | 281.25 | 89.817258 |
99,388,110,589,090,860,000 | 37 | 192.862435 | 26.945613 | 303.75 | 89.817258 |
94,087,699,283,117,600,000 | 38 | 192.940663 | 26.960497 | 326.25 | 89.817258 |
88,934,754,476,661,670,000 | 39 | 193.006589 | 27.0009 | 348.75 | 89.817258 |
85,471,591,916,330,020,000 | 40 | 193.093911 | 27.03548 | 9 | 89.771573 |
85,375,582,560,992,620,000 | 41 | 193.114743 | 27.104498 | 27 | 89.771573 |
102,149,987,041,040,920,000 | 42 | 193.110606 | 27.17587 | 45 | 89.771573 |
100,564,069,061,322,870,000 | 43 | 193.08186 | 27.242609 | 63 | 89.771573 |
83,245,247,995,851,050,000 | 44 | 193.031284 | 27.298167 | 81 | 89.771573 |
84,562,330,984,531,360,000 | 45 | 192.963819 | 27.337086 | 99 | 89.771573 |
88,671,742,499,204,630,000 | 46 | 192.886088 | 27.355537 | 117 | 89.771573 |
88,924,973,221,220,970,000 | 47 | 192.805739 | 27.351705 | 135 | 89.771573 |
87,523,421,351,248,400,000 | 48 | 192.730685 | 27.325965 | 153 | 89.771573 |
98,863,291,698,920,820,000 | 49 | 192.668305 | 27.280852 | 171 | 89.771573 |
99,115,994,655,355,830,000 | 50 | 192.624716 | 27.220803 | 189 | 89.771573 |
96,516,080,664,223,680,000 | 51 | 192.604166 | 27.151713 | 207 | 89.771573 |
96,447,224,848,045,830,000 | 52 | 192.608625 | 27.080355 | 225 | 89.771573 |
96,849,030,377,300,300,000 | 53 | 192.637611 | 27.013713 | 243 | 89.771573 |
97,826,461,030,021,070,000 | 54 | 192.688253 | 26.958297 | 261 | 89.771573 |
98,706,439,768,148,800,000 | 55 | 192.755586 | 26.919509 | 279 | 89.771573 |
104,217,077,697,352,830,000 | 56 | 192.833036 | 26.90113 | 297 | 89.771573 |
94,719,469,868,344,670,000 | 57 | 192.913062 | 26.904947 | 315 | 89.771573 |
90,490,290,751,081,020,000 | 58 | 192.987877 | 26.93059 | 333 | 89.771573 |
90,609,759,286,508,650,000 | 59 | 193.05019 | 26.975561 | 351 | 89.771573 |
90,210,768,507,021,300,000 | 60 | 193.137365 | 27.010348 | 7.5 | 89.725888 |
89,793,719,348,559,350,000 | 61 | 193.162278 | 27.078378 | 22.5 | 89.725888 |
99,049,153,144,480,070,000 | 62 | 193.166585 | 27.149833 | 37.5 | 89.725888 |
99,018,138,120,483,770,000 | 63 | 193.149954 | 27.219844 | 52.5 | 89.725888 |
96,393,858,951,680,100,000 | 64 | 193.113482 | 27.283634 | 67.5 | 89.725888 |
81,822,224,862,811,260,000 | 65 | 193.059631 | 27.336842 | 82.5 | 89.725888 |
85,873,687,716,654,220,000 | 66 | 192.992068 | 27.375823 | 97.5 | 89.725888 |
94,502,531,826,137,960,000 | 67 | 192.915412 | 27.397906 | 112.5 | 89.725888 |
100,510,843,902,445,490,000 | 68 | 192.834918 | 27.401576 | 127.5 | 89.725888 |
89,715,029,500,382,670,000 | 69 | 192.756113 | 27.386579 | 142.5 | 89.725888 |
90,333,007,811,750,920,000 | 70 | 192.684402 | 27.353946 | 157.5 | 89.725888 |
101,753,476,759,785,830,000 | 71 | 192.624695 | 27.305915 | 172.5 | 89.725888 |
102,544,658,938,854,380,000 | 72 | 192.581065 | 27.245776 | 187.5 | 89.725888 |
97,400,888,457,420,600,000 | 73 | 192.556469 | 27.177644 | 202.5 | 89.725888 |
98,328,911,455,635,640,000 | 74 | 192.552551 | 27.106171 | 217.5 | 89.725888 |
99,165,006,485,675,570,000 | 75 | 192.569539 | 27.036231 | 232.5 | 89.725888 |
95,143,854,968,387,140,000 | 76 | 192.60624 | 26.972582 | 247.5 | 89.725888 |
93,848,128,893,564,750,000 | 77 | 192.66013 | 26.919547 | 262.5 | 89.725888 |
94,893,878,800,789,010,000 | 78 | 192.727534 | 26.880725 | 277.5 | 89.725888 |
100,761,796,436,369,080,000 | 79 | 192.803873 | 26.858744 | 292.5 | 89.725888 |
96,383,356,416,611,580,000 | 80 | 192.883978 | 26.855092 | 307.5 | 89.725888 |
90,222,845,542,740,790,000 | 81 | 192.962427 | 26.870018 | 322.5 | 89.725888 |
90,709,832,436,822,310,000 | 82 | 193.033909 | 26.90251 | 337.5 | 89.725888 |
93,230,476,037,638,320,000 | 83 | 193.093575 | 26.950368 | 352.5 | 89.725888 |
93,893,701,451,512,800,000 | 84 | 193.180664 | 26.985261 | 6.428571 | 89.680202 |
93,653,761,626,053,020,000 | 85 | 193.208457 | 27.052456 | 19.285714 | 89.680202 |
101,658,566,916,076,200,000 | 86 | 193.218787 | 27.123474 | 32.142857 | 89.680202 |
102,934,053,180,854,500,000 | 87 | 193.211105 | 27.194759 | 45 | 89.680202 |
92,937,478,179,068,580,000 | 88 | 193.185761 | 27.262733 | 57.857143 | 89.680202 |
91,983,392,357,228,740,000 | 89 | 193.144 | 27.323978 | 70.714286 | 89.680202 |
84,782,743,483,481,850,000 | 90 | 193.0879 | 27.375409 | 83.571429 | 89.680202 |
94,978,470,827,383,590,000 | 91 | 193.020272 | 27.414434 | 96.428571 | 89.680202 |
95,260,869,393,861,570,000 | 92 | 192.94452 | 27.439081 | 109.285714 | 89.680202 |
101,740,247,435,880,430,000 | 93 | 192.864471 | 27.448104 | 122.142857 | 89.680202 |
100,892,893,406,772,070,000 | 94 | 192.784171 | 27.441046 | 135 | 89.680202 |
89,862,627,941,295,330,000 | 95 | 192.70768 | 27.418266 | 147.857143 | 89.680202 |
94,280,879,078,071,340,000 | 96 | 192.638861 | 27.380914 | 160.714286 | 89.680202 |
104,322,753,958,921,630,000 | 97 | 192.58118 | 27.330877 | 173.571429 | 89.680202 |
103,819,239,206,051,380,000 | 98 | 192.537531 | 27.270679 | 186.428571 | 89.680202 |
101,301,674,237,793,140,000 | 99 | 192.510088 | 27.203353 | 199.285714 | 89.680202 |
EBHIS H I Column Density
This dataset contains LAMBDA's native HEALPix bintable for the atomic neutral-hydrogen column-density map derived from the Milky-Way portion of the Effelsberg-Bonn H I Survey. All six source fields and RING row order remain unchanged.
| Pixelisation | Galactic HEALPix, NSIDE 1024, RING |
| Rows | 12,582,912 scalar source pixels |
| Angular resolution | 10.8 arcmin |
| Velocity selection | |Vlsr| < 600 km/s |
How to use
python -m venv .venv && .venv/bin/pip install datasets huggingface_hub pyarrow
from datasets import load_dataset
dataset = load_dataset("astro-legacy-archive/ebhis-hi", "NHI_HPX", split="train[:1]", columns=["MOM0", "HPXINDEX"])
row = dataset[0]
print(row["MOM0"], row["HPXINDEX"])
8.986965601962007e+19 0
import json
from huggingface_hub import hf_hub_download
import pyarrow.parquet as pq
path = hf_hub_download("astro-legacy-archive/ebhis-hi", "NHI_HPX.parquet", repo_type="dataset")
print(json.loads(pq.read_schema(path).metadata[b"healpix_map"])["schema"])
astro-legacy-archive/healpix-map
The embedded document records geometry, units, and per-column coverage codes. Validity is determined by matching a value’s source-width bits to the applicable coverage.codes[*].source_bits; sentinel values are not hard-coded.
Dataset structure
| source column | type | source unit |
|---|---|---|
MOM0 |
float32 | cm^(-2) |
HPXINDEX |
int64 | deg |
RA2000 |
float64 | deg |
DEC2000 |
float64 | deg |
GLON |
float64 | deg |
GLAT |
float64 | empty string |
Source row i is RING HEALPix pixel i; no column is removed or added.
The unusual source units—deg on HPXINDEX and an empty GLAT unit—are
preserved rather than corrected. MOM0, RA2000, DEC2000, GLON, and GLAT each
contain 5,718,326 measured NaNs. HPXINDEX contains 5,718,326 measured int64
minimum values at the same rows. All six populations are recorded separately
as measured coverage codes, without semantics.
Provenance and physics
LAMBDA provides the product description
and download table.
The pinned source is NHI_HPX.fits,
553,659,840 measured bytes, SHA-256
6cedd70f62695f531ba77fbbcff556c9c5bafc73224ef2353cb68365e148b354.
LAMBDA documents a 1420 MHz frequency, 1417.5–1423.5 MHz bandpass, 10.8-arcmin resolution, 4.7 × 10^18 cm^-2 sensitivity, and a column-density integration over |Vlsr| < 600 km/s. The page says all-sky coverage; the file's shared NaN rows and coordinate limits are reported as delivered without attempting to reconcile that statement.
Winkel et al. (2016) separates the EBHIS uncertainty budget into thermal noise, intensity calibration (typically about 2.5%), baseline errors, and stray-radiation correction errors. Column densities below approximately 2 × 10^20 cm^-2 show excess uncertainty attributed to baseline and stray radiation, while the wider confidence intervals show that the systematic errors are not perfectly normally distributed. These estimates describe ensemble distributions and do not necessarily apply to an individual sight line; for small brightness temperature the paper directs users to measure the local RMS for that sightline.
At low Galactic latitude, broad emission masks make baseline interpolation
uncertain. Winkel et al. also documents solar radio-frequency interference,
standing-wave-like ripples around strong continuum sources, and data loss or
increased noise from flagging. LAMBDA's sibling Zenith Equal Area image
NHI_ZEA.fits is not converted here.
Licensing and credit
The source states verbatim:
Permission is granted for publication and reproduction of this material for scientific, scholarly, educational, and private non-commercial use by the Argelander-Institut für Astronomie (AIfA) and the Max-Planck-Institut für Radioastronomie (MPIfR), Germany.
Publications must include:
The EBHIS data are based on observations performed with the 100-m telescope of the MPIfR at Effelsberg. EBHIS was funded by the Deutsche Forschungsgemeinschaft (DFG) under the grants KE757/7-1 to 7-3.
Citations
@article{Winkel2016,
author = {Winkel, B. and Kerp, J. and Flöer, L. and others},
title = {The Effelsberg-Bonn HI Survey: Milky Way gas. First data release},
journal = {Astronomy and Astrophysics},
volume = {585},
pages = {A41},
year = {2016},
doi = {10.1051/0004-6361/201527007}
}
@article{Kerp2011,
author = {Kerp, J. and Winkel, B. and Ben Bekhti, N. and others},
title = {The Effelsberg-Bonn HI Survey (EBHIS)},
journal = {Astronomische Nachrichten},
volume = {332},
pages = {637},
year = {2011}
}
Errata and requests
To report an erratum, propose a correction, or ask a question about this
dataset, open a Discussion or Pull Request in its Community tab; posting
requires a free Hugging Face account. Dataset requests and archive-wide
questions may be posted in the
README space's Community tab
or the Community tab of any dataset. Confirmed corrections are made in the
source conversion tools and published by rebuilding the dataset.
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