Connect your tool: Unroll
The traced windings, X-ray CT and ink layers in Unroll come from the Vesuvius Challenge open data, and every one of them reads straight from these URLs in your own tool, with no account and no download step.
Checked 2026-10-24. Generated from connect.json by kit spaceconnect in ChaseHendrick/Scrolls.
A traced winding (tifxyz), example PHerc0841 w00
https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0841/segments/20260220213127-w00/mesh/20260220213127-on-20250821151531-9.366um.tifxyz
License: CC BY-NC 4.0 (Vesuvius Challenge open data). Every winding Unroll shows has a folder like this under SCROLL/segments/ in the open data; Unroll keeps only a decimated copy for the browser.
Python (numpy, tifffile) (tested 2026-10-24)
# pip install numpy tifffile
import io, json, urllib.request
import numpy as np, tifffile
T = "https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0841/segments/20260220213127-w00/mesh/20260220213127-on-20250821151531-9.366um.tifxyz"
meta = json.load(urllib.request.urlopen(T + "/meta.json")) # scale, bbox, format
get = lambda c: tifffile.imread(io.BytesIO(urllib.request.urlopen(f"{T}/{c}.tif").read()))
xyz = np.stack([get(c) for c in "xyz"], -1) # xyz[i, j] = (x, y, z) in scan voxels; -1 = no surface
Every segment of a scroll, example PHerc0841
s3://vesuvius-challenge-open-data/PHerc0841/segments/
License: CC BY-NC 4.0 (Vesuvius Challenge open data). Each segment folder has mesh/ (tifxyz), surface-volumes/ (OME-Zarr layers) and, where published, ink-detection/.
Python (list the folder) (tested 2026-10-24)
import re, urllib.request
B = "https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com"
xml = urllib.request.urlopen(B + "/?list-type=2&delimiter=/&prefix=PHerc0841/segments/").read().decode()
print(re.findall(r"<Prefix>([^<]+)</Prefix>", xml)) # subfolders; <Key> gives files
X-ray CT behind the CT view, PHerc0139 9.362 um
https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0139/volumes/20250728140407-9.362um-1.2m-113keV-masked.zarr
License: CC BY-NC 4.0 (Vesuvius Challenge open data). Streamed from the open-data bucket, never copied here. Unroll opens any other scan with ?ctzarr=URL&ctum=VOXEL_UM.
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/PHerc0139/volumes/20250728140407-9.362um-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[2622:2686, 828:892, 828:892] # (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/PHerc0139/volumes/20250728140407-9.362um-1.2m-113keV-masked.zarr/2") # one pyramid level
block = v[2622:2686, 828:892, 828:892]
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/PHerc0139/volumes/20250728140407-9.362um-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%2FPHerc0139%2Fvolumes%2F20250728140407-9.362um-1.2m-113keV-masked.zarr%2F%22%2C%22name%22%3A%22X-ray%20CT%20behind%20the%20CT%20view%2C%20PHerc0139%209.362%20um%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/PHerc0139/volumes/20250728140407-9.362um-1.2m-113keV-masked.zarr/.zattrs # OME multiscales metadata
curl -s https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0139/volumes/20250728140407-9.362um-1.2m-113keV-masked.zarr/2/.zarray # one level: shape, chunks, dtype, codec
Unroll's own API, files and embed
https://sharpmeow-unroll.static.hf.space/
License: Page code Apache 2.0; derived data CC BY-NC 4.0. Every button has a data-api name and the same call on window.unroll, so a script or an agent can drive the page.
Links and embed (tested 2026-10-24)
API description (window.unroll, postMessage, deep links): https://huggingface.co/spaces/SharpMeow/unroll/resolve/main/api.json
Guide for agents: https://huggingface.co/spaces/SharpMeow/unroll/resolve/main/llms.txt
Scroll list and per-scroll manifests: https://huggingface.co/spaces/SharpMeow/unroll/resolve/main/scrolls/index.json
Ink Bench on the command line: https://huggingface.co/spaces/SharpMeow/unroll/resolve/main/tools/inkbench.py
Deep link to one winding: https://sharpmeow-unroll.static.hf.space/?scroll=PHerc0139&t=0.6&layer=overlay&focus=w047&compare=0.3
<iframe src="https://sharpmeow-unroll.static.hf.space/index.html?embed=1" width="100%" height="600" allow="fullscreen; clipboard-write"></iframe>