A Labeled Dataset for AI-based Cryo-EM Map Enhancement
收藏DataCite Commons2025-05-12 更新2025-04-15 收录
下载链接：
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/CI0J2B
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资源简介：
An open-source dataset for cryo-EM density map denoising comprising 650 high-resolution (1-4 Å) experimental maps paired with three types of generated
label maps: regression maps capturing idealized density distributions, binary classification maps distinguishing structural elements from background, and atom-type classification maps. Each map is standardized to 1 Å voxel size.
提供机构：
Harvard Dataverse
创建时间：
2025-03-10
