Semi-Supervised-Learning-for-Diffraction

This is a repository for using semi-supervised learning to classify diffraction patterns

Data e Risorse

Campo Valore
accessLevel public
bureauCode {006:55}
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catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier ark:/88434/mds2-2496
issued 2021-11-09
landingPage https://data.nist.gov/od/id/mds2-2496
language {en}
license https://www.nist.gov/open/license
modified 2021-10-26 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
resource-type Dataset
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theme {"Neutron Research"}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • artificial-intelligence
  • ckan
  • crystallography
  • geo
  • geoss
  • national
  • neutron
  • north-america
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer William D. Ratcliff
maintainer_email william.ratcliff@nist.gov
metadata_created 2025-11-21T20:09:58.266498
metadata_modified 2025-11-21T20:09:58.266502
notes This is a repository for using semi-supervised learning to classify diffraction patterns
num_resources 2
num_tags 11
title Semi-Supervised-Learning-for-Diffraction