Connect your tool: Umbilici
Every center line, CT scan and lasagna field on this page reads straight from these URLs, with no account and no download step. Each scan card also has its own OME-Zarr URL and an Open in neuroglancer link.
Checked 2026-10-24. Generated from connect.json by kit spaceconnect in ChaseHendrick/Scrolls.
Center lines (every line, every scan)
https://huggingface.co/datasets/SharpMeow/vesuvius-center-lines
License: CC BY-NC 4.0 bundle; each file keeps its own license (MIT, CC BY 4.0 or CC BY-NC 4.0, listed in index.json). Files under lines/ are in VC3D's umbilicus JSON format, level-0 voxels (x, y, z).
Python (huggingface_hub) (tested 2026-10-24)
# pip install huggingface_hub
from huggingface_hub import hf_hub_download, snapshot_download
path = hf_hub_download("SharpMeow/vesuvius-center-lines", "index.json", repo_type="dataset") # one file, cached
folder = snapshot_download("SharpMeow/vesuvius-center-lines", repo_type="dataset")
Python (datasets) (tested 2026-10-24)
# pip install datasets
from datasets import load_dataset
lines = load_dataset("SharpMeow/vesuvius-center-lines", "lines", split="train")
points = load_dataset("SharpMeow/vesuvius-center-lines", "points", split="train")
pandas (tested 2026-10-24)
# pip install pandas huggingface_hub
import pandas as pd
df = pd.read_json("hf://datasets/SharpMeow/vesuvius-center-lines/tables/points.jsonl", lines=True)
Command line (hf) (tested 2026-10-24)
pip install -U huggingface_hub
hf download SharpMeow/vesuvius-center-lines index.json --repo-type dataset --local-dir vesuvius-center-lines
curl (tested 2026-10-24)
curl -L -O https://huggingface.co/datasets/SharpMeow/vesuvius-center-lines/resolve/main/index.json
X-ray CT, example PHerc0125 (each scan card has its own URL)
https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0125/volumes/20250821151825-9.362um-1.2m-113keV-masked.zarr
License: CC BY-NC 4.0 (Vesuvius Challenge open data). Read live from the open-data bucket, never copied here. uint8, 128^3 chunks, no compressor, 6 levels.
Python (zarr) (tested 2026-10-24)
# pip install "zarr>=3" fsspec aiohttp
import zarr
root = zarr.open_group("https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0125/volumes/20250821151825-9.362um-1.2m-113keV-masked.zarr", mode="r") # OME-Zarr, zarr v2
a = root["2"] # level 0 is full resolution; level L is 2**L times coarser
print(a.shape, a.dtype, a.chunks)
block = a[2600:2664, 1000:1064, 1000:1064] # (z, y, x); reads only the chunks it touches
villa's vesuvius package (tested 2026-10-24)
# pip install "vesuvius[volume-only]"
from vesuvius import Volume
v = Volume(type="zarr", path="https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0125/volumes/20250821151825-9.362um-1.2m-113keV-masked.zarr/2") # one pyramid level
block = v[2600:2664, 1000:1064, 1000:1064]
VC3D (from villa's source)
In VC3D (villa's volume-cartographer), open or create a project, then
File > Attach Remote Zarr... and paste:
https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0125/volumes/20250821151825-9.362um-1.2m-113keV-masked.zarr
It accepts http, https and s3 OME-Zarr roots.
neuroglancer (tested 2026-10-24)
https://neuroglancer-demo.appspot.com/#!%7B%22layers%22%3A%5B%7B%22type%22%3A%22image%22%2C%22source%22%3A%22zarr%3A%2F%2Fhttps%3A%2F%2Fvesuvius-challenge-open-data.s3.us-east-1.amazonaws.com%2FPHerc0125%2Fvolumes%2F20250821151825-9.362um-1.2m-113keV-masked.zarr%2F%22%2C%22name%22%3A%22X-ray%20CT%2C%20example%20PHerc0125%20%28each%20scan%20card%20has%20its%20own%20URL%29%22%7D%5D%2C%22layout%22%3A%224panel%22%7D
curl (tested 2026-10-24)
curl -s https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0125/volumes/20250821151825-9.362um-1.2m-113keV-masked.zarr/.zattrs # OME multiscales metadata
curl -s https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0125/volumes/20250821151825-9.362um-1.2m-113keV-masked.zarr/2/.zarray # one level: shape, chunks, dtype, codec
Lasagna field, PHerc0175A
https://huggingface.co/datasets/SharpMeow/pherc0175a-lasagna
License: CC BY-NC 4.0. villa lasagna predict3d output (scrollprize/lasagna); model output, not checked by eye.
Python (huggingface_hub) (tested 2026-10-24)
# pip install huggingface_hub
from huggingface_hub import hf_hub_download, snapshot_download
path = hf_hub_download("SharpMeow/pherc0175a-lasagna", "README.md", repo_type="dataset") # one file, cached
folder = snapshot_download("SharpMeow/pherc0175a-lasagna", repo_type="dataset") # large; allow_patterns=[...] fetches part of it
Command line (hf) (tested 2026-10-24)
pip install -U huggingface_hub
hf download SharpMeow/pherc0175a-lasagna README.md --repo-type dataset --local-dir pherc0175a-lasagna
curl (tested 2026-10-24)
curl -L -O https://huggingface.co/datasets/SharpMeow/pherc0175a-lasagna/resolve/main/README.md
Lasagna fields, ten scans
https://huggingface.co/spaces/SharpMeow/lasagna-fields
License: CC BY-NC 4.0. villa lasagna predict3d output (model output) for ten scans, public and read live: each scan's cos, grad_mag, nx and ny fields as OME-Zarr plus a SCAN.lasagna.json for VC3D's Attach Remote Lasagna Manifest. That Space has its own Connect your tool section.
Links and embed (tested 2026-10-24)
Lasagna Fields: every field's OME-Zarr URL, VC3D manifest and tested snippets: https://huggingface.co/spaces/SharpMeow/lasagna-fields
This page's own data and API
https://sharpmeow-umbilici.static.hf.space/
License: Page code Apache 2.0; data as above. In a browser or headless Chromium, window.umbilici has scans(), lines(scroll), at(scroll, z), csv(...) and more (Guide, For researchers).
Links and embed (tested 2026-10-24)
Every line, scan and CT pyramid as one JSON: https://huggingface.co/spaces/SharpMeow/umbilici/resolve/main/data/lines.json
Open a scan in a given mode and height: https://sharpmeow-umbilici.static.hf.space/?mode=scan&scan=PHerc0191&z=10400
Page source and build scripts: https://huggingface.co/spaces/SharpMeow/umbilici/tree/main