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robust_key
string
scan_id
int32
rt
float64
rt_unit
string
rt_s
float64
tic
float64
mz_array
list
intensity_array
list
n_peaks
int32
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
2
0.77126
second
0.77126
101,545,150
[ 71.0135269165039, 71.9825210571289, 72.00879669189453, 72.99283599853516, 73.01667022705078, 73.02918243408203, 74.02447509765625, 74.99061584472656, 74.99356842041016, 75.00850677490234, 76.00377655029297, 76.0118637084961, 76.01277923583984, 76.96979522705078, 76.98680114746094, 76.9...
[ 91222.59375, 4439.05810546875, 15690.763671875, 35819.47265625, 2625.4169921875, 41398.3203125, 35692.23046875, 2931.927978515625, 17557.998046875, 1937425.875, 16580.80859375, 43937.91015625, 3487.842529296875, 125125.5703125, 4842.8466796875, 76914.28125, 14064.080078125, 6437.76...
1,585
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
4
2.21487
second
2.21487
84,489,424
[ 71.01351165771484, 72.00875091552734, 72.5004653930664, 72.99284362792969, 73.02919006347656, 73.38880920410156, 74.02450561523438, 74.89099884033203, 74.99065399169922, 74.9935302734375, 75.00851440429688, 76.00382995605469, 76.0118637084961, 76.9698257446289, 76.98779296875, 77.01280...
[ 67051.6171875, 8325.7080078125, 3874.9794921875, 24560.708984375, 59229.0078125, 3478.884521484375, 19394.48828125, 3515.642578125, 3572.914306640625, 19200.248046875, 1930789.25, 8936.453125, 56690.296875, 144224.703125, 59234.640625, 17299.6953125, 3213.642333984375, 3250.3217773...
1,101
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
6
3.47126
second
3.47126
89,918,120
[ 71.01351165771484, 72.00879669189453, 72.99285125732422, 73.0291976928711, 74.02450561523438, 74.99356079101562, 75.00851440429688, 75.02794647216797, 76.01191711425781, 76.96981811523438, 76.98782348632812, 77.01283264160156, 77.01434326171875, 77.96942138671875, 79.02998352050781, 80...
[ 70653.53125, 10304.4345703125, 30230.5234375, 52755.046875, 30810.6328125, 31600.80859375, 2098866.5, 4518.775390625, 45873.078125, 144339.953125, 69775.2734375, 22534.064453125, 4650.046875, 8437.396484375, 8158.70068359375, 332738.3125, 30290.294921875, 4447.96630859375, 5823.8...
1,021
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
8
4.72563
second
4.72563
100,168,500
[ 71.0135498046875, 72.00883483886719, 72.99288177490234, 73.02921295166016, 74.02448272705078, 74.99358367919922, 75.00851440429688, 76.00377655029297, 76.01185607910156, 76.2997055053711, 76.96981811523438, 76.98784637451172, 77.01282501220703, 79.02996826171875, 80.01161193847656, 80....
[ 58634.41796875, 7649.42138671875, 29603.337890625, 49660.55859375, 37773.83984375, 11898.8203125, 2069266.125, 12596.873046875, 52172.83984375, 5042.63720703125, 108289.59375, 66777.2421875, 10798.0322265625, 8129.2919921875, 345215.21875, 59312.4296875, 252181.390625, 8260.3789062...
977
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
10
6.16863
second
6.16863
78,871,432
[ 70.56074523925781, 71.01353454589844, 72.0087661743164, 72.99285888671875, 73.02921295166016, 74.0245132446289, 74.9874496459961, 74.99352264404297, 75.00112915039062, 75.00851440429688, 75.91069793701172, 76.0118637084961, 76.9698257446289, 76.98780822753906, 77.01274871826172, 77.969...
[ 4650.67724609375, 71054.7421875, 6866.8603515625, 21048.330078125, 59112.37890625, 6731.44091796875, 4019.01904296875, 5699.67578125, 4927.279296875, 2221087, 4550.0302734375, 46585.41015625, 133431.078125, 24701.599609375, 19293.462890625, 7496.88330078125, 403874.6875, 20913.2539...
947
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
12
7.42412
second
7.42412
78,610,712
[71.01350402832031,72.99286651611328,73.02918243408203,74.99359130859375,75.00851440429688,76.003837(...TRUNCATED)
[48457.25,20687.873046875,53078.5546875,12306.033203125,2253978.5,5303.50439453125,70527.7578125,129(...TRUNCATED)
899
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
14
8.67963
second
8.67963
81,669,504
[70.82022857666016,70.99195861816406,71.01353454589844,71.80660247802734,72.99281311035156,73.029205(...TRUNCATED)
[4882.08203125,4865.6669921875,63734.60546875,4792.67041015625,19377.984375,40718.3515625,13281.2431(...TRUNCATED)
923
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
16
9.93525
second
9.93525
77,464,880
[71.01351928710938,71.02469635009766,71.38675689697266,72.00879669189453,72.99284362792969,73.029220(...TRUNCATED)
[48837.0,4485.7822265625,4403.09814453125,7267.72119140625,7772.48486328125,63895.44921875,30247.138(...TRUNCATED)
910
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
18
11.3775
second
11.3775
78,113,544
[71.01351928710938,72.10151672363281,72.99284362792969,73.02922821044922,74.02452087402344,74.993598(...TRUNCATED)
[45241.73828125,5230.04150390625,20560.42578125,58820.796875,20556.919921875,9222.9443359375,2184618(...TRUNCATED)
903
MSV/MSV000081289/ccms_peak/Ecoli_Study3/Fullscan/NegativeMode/CMW_solvent_control.mzML
20
12.6733
second
12.6733
73,652,104
[70.18439483642578,71.01354217529297,72.00879669189453,72.96929168701172,72.99285125732422,73.029205(...TRUNCATED)
[4843.4365234375,49472.3125,5524.4365234375,3970.498291015625,11447.4853515625,55973.0546875,9649.59(...TRUNCATED)
837
End of preview.

ISOSPEC subset v0.1.0

Converted MS1 spectra for ISOSPEC pretraining. One parquet per source mzML, one row per MS1 scan. Pool definition (v0.1.0): in_corpus & base_conformant & analyzer == "orbitrap" with a study floor of MIN_STUDY_FILES = 20 files.

  • files: 65,120
  • scans: 121,646,912
  • corpus: corpus-v0.4.0
  • published: 2026-08-27

Load

from datasets import load_dataset

# 121 M scans: stream, don't materialise.
ds = load_dataset("Lwizz/isospec-subset-v0.1.0", split="train", streaming=True)
row = next(iter(ds))
print(row["robust_key"], row["scan_id"], row["n_peaks"], row["tic"])

Per-file stats (one row per mzML) and the global peaks-per-scan envelope live next to the spectra, not in the train split:

from huggingface_hub import hf_hub_download
import pandas as pd

stats = pd.read_parquet(hf_hub_download(
    "Lwizz/isospec-subset-v0.1.0", "stats/file_stats.parquet", repo_type="dataset"))
global_stats = pd.read_parquet(hf_hub_download(
    "Lwizz/isospec-subset-v0.1.0", "stats/subset_stats.parquet", repo_type="dataset"))

Schema (one row = one MS1 scan)

column type
robust_key string
scan_id int32
rt double
rt_unit string
rt_s double
tic double
mz_array list<item: double>
intensity_array list<item: double>
n_peaks int32
  • scan_id is the integer scan number (scan=N in the mzML nativeID), not the Thermo string controllerType=0 controllerNumber=1 scan=1.
  • tic is the per-scan total ion current (MS:1000285).
  • Arrays are the acquired spectrum: conversion uses Depthcharge with ms_level=1 and preprocessing_fn=[] (the Depthcharge default would drop m/z < 140 and keep top-200 peaks).

Layout

parquet/<repo>/<study>/<path>.parquet   spectra
manifest/subset.parquet                 worklist (one row per mzML)
stats/file_stats.parquet                per-file stats
stats/subset_stats.parquet              global n_peaks min / mean / max

robust_key = repo/study/path joins a scan row back to file_stats and to the construction corpus (ledger/corpus.parquet).

Provenance

Source mzML were downloaded from the public metabolomics repositories (MetaboLights / MTBLS, MassIVE / MSV, Metabolomics Workbench / ST), QC-gated, and converted. Each study remains under the licence of its original submission — this Hub dataset is a derived conversion, not a relicence. Construction pipeline: isospec/datasets-construction (doc/mzml_qc_spec.md).

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