{"paper":{"title":"Nanomaterial datasets to advance tomography in scanning transmission electron microscopy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"cond-mat.mes-hall","authors_text":"Barnaby D.A. Levin, Chien-Chun Chen, Colin Ophus, David A. Muller, Deli Wang, Don-Hyung Ha, Elliot Padgett, Haitao Zhang, Hector D. Abruna, Jianwei Miao, Lena F. Kourkoutis, M.C. Scott, Peter Ercius, Richard D. Robinson, Robert Hovden, Rui Xu, Wolfgang Theis, Yi Jiang, Yingchao Yu, Yongsoo Yang","submitted_at":"2016-06-09T12:59:17Z","abstract_excerpt":"Electron tomography in materials science has flourished with the demand to characterize nanoscale materials in three dimensions (3D). Access to experimental data is vital for developing and validating reconstruction methods that improve resolution and reduce radiation dose requirements. This work presents five high-quality scanning transmission electron microscope (STEM) tomography datasets in order to address the critical need for open access data in this field. The datasets represent the current limits of experimental technique, are of high quality, and contain materials with structural comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.02938","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}