data-datasets

Zenodo

CERN's general-purpose repository for research data and software, where every deposit receives a DOI. It has a keyless read API, but the service blocked our probing addresses, so for now we link to its own search instead of querying it. Reach for it when hunting datasets, software releases or supplementary materials behind published research. Its status is uncertain only from our vantage point; it is known to be operational elsewhere, so the link should work for you.

Datasets uncertain

Search this archive

No programmatic check, opens the archive’s own search.

Why it’s useful & how it works

Zenodo is a general-purpose open repository operated by CERN and OpenAIRE that accepts any research output, whether a dataset, software release, poster, presentation, or supplementary file, and assigns each deposit a citable DOI. It is the natural place to look when a paper's underlying data or code was published separately from the paper itself. Echo links you to Zenodo's own search page, where you can filter by resource type, access level, community, and date.

What’s inside

Several million records spanning datasets, software, presentations, and articles from researchers across all disciplines. The repository has been active since 2013 and continues to grow steadily.

API access

https://zenodo.org/api/records?q= (keyless read; blocked our IPs in probe)

What we measured

Our own probes, not the archive’s own claims. Re-run periodically; every reading below is dated.

Reachability

Direct request: Responded HTTP 200 482 ms
Through a datacenter proxy: Responded HTTP 200 1.2 s
API, direct: Responded HTTP 200 227 ms
API, through a proxy: Responded HTTP 200 1 s

Did a real search return anything?

Returned results · 5 results for the sample query · median 777 ms · stable across runs

Sample query: Towards Machine-assisted Disclosure Assessment with DDI-CDI, DPV and sdcMicro

Benchmark coverage

Found 10 of 10 test items (100%) in the Datasets cluster. Median response 483 ms.

By how well known the item is: 3/3 well-known, 6/6 mid, 1/1 obscure .

One item it found: "Why so many windows?" – Wie die Bilddatensammlung ImageNet die automatisierte Bilderkennung historischer Bilder beeinfl

Reachability measured 2026-08-22. Search checked 2026-08-22. Benchmark run 2026-08-22.