Skip to main content

NWB extension for HED data

Project description

ndx-hed Extension for NWB

Neurodata Without Borders (NWB) is a data standard for organizing neurophysiology data. NWB is used extensively as the data representation for single cell and animal recordings as well as human neuroimaging modalities such as IEEG. HED (Hierarchical Event Descriptors) is a system of standardized vocabularies and supporting tools that allows fine-grained annotation of data. HED annotations can now be used in NWB to provide a column of HED annotations for any NWB dynamic table.

The HED annotation in NWB user guide explains in more detail how to use this extension for HED.

Installation

Python:

pip install -U ndx-hed

Matlab: The Matlab extension is under development

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ndx_hed-0.1.0.tar.gz (15.5 kB view details)

Uploaded Source

Built Distribution

ndx_hed-0.1.0-py3-none-any.whl (5.7 kB view details)

Uploaded Python 3

File details

Details for the file ndx_hed-0.1.0.tar.gz.

File metadata

  • Download URL: ndx_hed-0.1.0.tar.gz
  • Upload date:
  • Size: 15.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for ndx_hed-0.1.0.tar.gz
Algorithm Hash digest
SHA256 8fd7c6837877c317a437e7d84ac275f3782021dd69cea5a3622dbfb3f50bb615
MD5 4f1206cd22059ac72fb87979b9e6f4e1
BLAKE2b-256 68e6fb3c78970a2ada6e56a9ed83394795b336ad58240a2ce75f87f515704f20

See more details on using hashes here.

Provenance

File details

Details for the file ndx_hed-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: ndx_hed-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for ndx_hed-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 30e2eb16a11969c8134e5491d15422af1fb7146c841822d3b208bc6bd6bb5779
MD5 71f8c308f1544840120b1617e3ccec63
BLAKE2b-256 7c621b4f9ba1c96359982681530bea7e6431c7967d43ec1cce795ced7f46a43a

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page