Checked
Federal dataScience & Research
Semi-Supervised-Learning-for-Diffraction
Published by National Institute of Standards and Technology · Updated 10/26/2021
- Last updated
- 10/26/2021
- First published 11/09/2021
- Update frequency
- Not listed
- Formats
- Web only
- Coverage
- Nationwide
- Federal data
About this dataset
This is a repository for using semi-supervised learning to classify diffraction patterns
Files and access
Links open the official government source
- DOI Access for Semi-Supervised-Learning-for-Diffractiondoi.org
- Semi-supervised Learning for neutron diffractiongithub.com
Links open outside websites we do not control.
Frequently asked questions
- Who publishes Semi-Supervised-Learning-for-Diffraction?
- National Institute of Standards and Technology, part of Department of Commerce, publishes this dataset on Data.gov.
- How often is it updated?
- The publisher does not list a schedule. The last update was on 10/26/2021.
- How do I download it?
- Use the official source link above to view or request the data.
Similar data from other publishers
Where this catalog comes from
- Data.gov CatalogU.S. General Services Administration
- State and local open data portalsSocrata Discovery API
- State and city CKAN portalsCalifornia, Virginia, Boston, Houston and more
- Government ArcGIS Hub sitesCity and county GIS data
Catalog checked 10/24/2026
We list dataset descriptions only. Downloads and APIs link straight to the official government source, which holds the current version and its terms of use.
Source: Data.gov · Last updated 10/24/2026 · Listing only; the data stays with the publisher
Share: