Dataset Viewer

The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.

Latest Release: uds-v0.3.0

Released: 2026-05-29 | Doctrine: v6 (strict) | Source: github.com/szl-holdings/vessels

Field Value
Tag uds-v0.3.0
Source commit bb8202c7aa94804d806d8e1a68d36a6f7f7773a2
Tarball vessels-uds-0.3.0.tar.zst
Size 682,939 bytes
SHA256 2238758c9ab42aad2bb6ac351d9fdeaa41e031720fbceda9be13a938bfca2c89
Signing PENDING — cosign key escrow required (see GitHub release notes)
GitHub release https://github.com/szl-holdings/vessels/releases/tag/uds-v0.3.0

Verify SHA256

pip install huggingface_hub
python3 -c "
from huggingface_hub import hf_hub_download
p = hf_hub_download('SZLHOLDINGS/vessels-source', 'vessels-uds-0.3.0.tar.zst', repo_type='dataset')
import hashlib
with open(p,'rb') as f: data=f.read()
print(hashlib.sha256(data).hexdigest())
"
# Expected: 2238758c9ab42aad2bb6ac351d9fdeaa41e031720fbceda9be13a938bfca2c89

Cosign Verify (once signing complete)

cosign verify-blob \
  --key vessels-uds-dev.pub \
  --signature vessels-uds-0.3.0.tar.zst.sig \
  vessels-uds-0.3.0.tar.zst

Org dev public key (P-256 ECDSA):

-----BEGIN PUBLIC KEY-----
MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEIcKzhZ7zCKrBDcmdaBGUOpNyJvRj
4wkQ8nftahptyPXzH613e3mYyhtkH1mxFM0fNCra17wkBvorFNPuolNZRQ==
-----END PUBLIC KEY-----

vessels — Maritime Fleet Intelligence

License: Apache 2.0 DOI

Source mirror of github.com/szl-holdings/vessels. Maritime fleet intelligence vertical: sanctions screening, dark-vessel detection, ownership graph analytics, and voyage analytics — all governed by the SZL receipt chain.

Capability Description
Sanctions screening Real-time vessel sanctions list cross-check
Dark vessel detection AIS gap analysis + behavioral signatures
Ownership graph Multi-hop beneficial ownership resolution
Voyage analytics Port call patterns + route anomaly detection

Cross-links

Citation (BibTeX)

@misc{lutar2026ouroboros,
  title  = {Ouroboros: Formal Verification of Agentic AI Governance — v18.0},
  author = {Lutar, Stephen P.},
  year   = {2026},
  doi    = {10.5281/zenodo.20434276},
  url    = {https://doi.org/10.5281/zenodo.20434276}
}

Contact

Stephen P. Lutar · stephen@szlholdings.com
ORCID
github.com/szl-holdings · huggingface.co/SZLHOLDINGS


Doctrine v6 strict — no marketing superlatives — every claim verifiable.

Downloads last month
26