The data infrastructure for FAIR neuroscience publishing — every dataset carries a DOI, openMINDS and NDI metadata, and ontology-grade species, region, and probe filters. Public access, no login.
Trusted by leading research institutions
Every dataset on NDI Commons is FAIR by construction — not because we added a compliance layer, but because the data model was built that way.
A DOI and openMINDS and NDI metadata on every published dataset. Indexed where researchers already search.
Public datasets download over plain HTTP or through the NDI MATLAB or Python API. No login required.
Real ontology IDs for species, region, strain, and sex — not free-text. Read straight into NDI-MATLAB or NDI-Python without conversion.
CC-BY 4.0 on every release. Full provenance from raw session to cohort.
When you publish, you get a DOI under the NDI Cloud prefix 10.63884, a permanent landing page, and a BibTeX block ready to drop into the methods section. Researchers cite the dataset. The dataset stays where the citation points.
→ doi.org/10.63884/ndic.2025.jyxfer8m
Browse, search, cite, and download without creating an account. Labs who publish get download counts and citation links back in their Data Browser.
Search by species, region, probe, or year. Download direct, or browse from a laptop with the NDI MATLAB or Python API.
BibTeX and RIS on every landing page. DOIs resolve immediately.
Your data lives on and can be used in new ways as datasets are downloaded or your documents are discovered in cross-data searches.
The Commons is what the public sees. Behind it: a private workspace for your lab’s working data, and an AI assistant that answers from your papers and your datasets — not the open web.
See the full architecture → How NDI works
Upload your sessions, fill in the metadata, click publish. Your dataset gets a DOI, a landing page, and a place in the Commons — from the same workspace your lab already uses.