openmedical/registry
← registry

nidm-specs

imported

data/nidm-specs

Neuroimaging Data Model (NIDM): describing neuroimaging data and provenance

Machine-generated from the listed sources and not yet reviewed by a human.

nidm-specs project image
GitHub preview card for incf-nidash/nidm-specs. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
incf-nidash
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
data-sharing · incf · neuroimaging · ontology
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Lorisdata-sharing · neuroimaging

    LORIS is a web-accessible database solution for longitudinal multi-site studies.

  • EEGDashdata-sharing

    EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch

  • UMUDdata-sharing

    Universal Muscle Ultrasound Database

  • pathoplexusdata-sharing

    An open-source pathogen sequence database dedicated to equitable sharing, transparent governance, & empowering global public health.

  • PostGUIdata-sharing

    A React web application to query and share any PostgreSQL database.

  • ASAPontology

    ASAP : Automated Single-cell Analysis Pipeline

sources
  1. api.github.com/repos/incf-nidash/nidm-specs
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-03-22, 33 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/18.json→ .entries["nidm-specs"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.