{"EMPIAR-10069":{"imagesets":[{"segmentations":[],"name":"Unaligned particle stacks from sub-frame drift-corrected micrographs. Set 1","directory":"data/set1","category":"picked particles - multiframe - processed","header_format":"MRC","data_format":"MRC","num_images_or_tilt_series":16306,"frames_per_image":1,"frame_range_min":null,"frame_range_max":null,"voxel_type":"32 BIT FLOAT","pixel_width":0.86,"pixel_height":0.86,"micrographs_file_pattern":null,"picked_particles_file_pattern":null,"picked_particles_directory":null,"details":"Dataset1: 250 x 250 box size, 16306-particle dataset of inflammasome. These datasets were used for benchmarking the relevant algorithms for image classification.","image_width":"250","image_height":"250"},{"segmentations":[],"name":"Unaligned particle stacks from sub-frame drift-corrected micrographs. 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These datasets were used for benchmarking the relevant algorithms for image classification.","image_width":"160","image_height":"160"}],"workflow_file":null,"grant_references":[],"version_history":[{"version_number":1,"date":"2016-07-07","status_code":"REL","details":"Restructured the data into four dataset directories."},{"version_number":2,"date":"2016-07-20","status_code":"REL","details":"Added pixel sizes information."},{"version_number":3,"date":"2017-01-03","status_code":"REL","details":"The data has been re-uploaded due to reports of damaged/corrupted files. Added the citation information."}],"title":"Unsupervised single-particle deep classification via statistical manifold learning","principal_investigator":[{"author_orcid":null,"middle_name":null,"organization":"Dana-Farber Cancer Institute","street":"450 Brookline Ave","town_or_city":"Boston","state_or_province":"MA","post_or_zip":"02215","telephone":null,"fax":null,"first_name":"Youdong","last_name":"Mao","email":"youdong_mao [at] dfci.harvard.edu","country":"United States","entry":"EMPIAR-10069"},{"author_orcid":null,"middle_name":null,"organization":"Dana-Farber Cancer Institute","street":"46 S Huntington Ave, Apt #12","town_or_city":"Jamaica Plain","state_or_province":"MA","post_or_zip":"02130-4751","telephone":"6174477234","fax":null,"first_name":"Youdong","last_name":"Mao","email":"youdong_mao [at] dfci.harvard.edu","country":"United States","entry":"EMPIAR-10069"}],"status":"REL","deposition_date":"2016-07-06","release_date":"2016-07-06","obsolete_date":null,"update_date":"2017-01-03","corresponding_author":{"author":{"author_orcid":null,"middle_name":null,"organization":"Dana-Farber Cancer Institute","street":"46 S Huntington Ave, Apt #12","town_or_city":"Jamaica Plain","state_or_province":"MA","post_or_zip":"02130-4751","first_name":"Youdong","last_name":"Mao","country":"United States"}},"authors":[{"author":{"name":"Wu J","author_orcid":null}},{"author":{"name":"Ma YB","author_orcid":null}},{"author":{"name":"Congdon C","author_orcid":null}},{"author":{"name":"Brett B","author_orcid":null}},{"author":{"name":"Chen S","author_orcid":null}},{"author":{"name":"Xu Y","author_orcid":null}},{"author":{"name":"Ouyang Q","author_orcid":null}},{"author":{"name":"Mao Y","author_orcid":null}}],"cross_references":[],"biostudies_references":[],"idr_references":[],"empiar_references":[],"citation":[{"authors":[{"name":"Wu J","author_orcid":null},{"name":"Ma YB","author_orcid":null},{"name":"Congdon C","author_orcid":null},{"name":"Brett B","author_orcid":null},{"name":"Chen S","author_orcid":null},{"name":"Ouyang Q","author_orcid":null},{"name":"Mao Y","author_orcid":null}],"editors":[],"published":false,"j_or_nj_citation":true,"title":"Unsupervised single-particle deep classification via statistical manifold learning","volume":null,"country":"United States","first_page":null,"last_page":null,"year":"2016","language":"English","doi":null,"pubmedid":null,"details":"https://arxiv.org/abs/1604.04539","book_chapter_title":null,"publisher":null,"publication_location":null,"journal":"arXiv","journal_abbreviation":"arXiv","issue":null,"preprint":true}],"dataset_size":"28.2 GB","experiment_type":"EMDB","scale":null,"entry_doi":"10.6019/EMPIAR-10069"}}