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Title: Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source

This dataset consists of 79,992 diffraction patterns stored in cbf format. A step-by-step tutorial on the reconstruction of the Bragg intensities using the EMC algorithm (Loh & Elser 2009) is described [here](https://github.com/tl578/EMC-for-SMX/wiki). We thank the authors of Martin-Garcia et al. (2017) for their gracious access to the data. Reduced data files: For those who would like to try an EMC reconstruction immediately, the data reduction step can be skipped by downloading the reduced data files provided by us. See [here](https://github.com/tl578/EMC-for-SMX/wiki/Data-reduction#skipping-data-reduction) for more details.
Authors:
Publication Date:
Report Number(s):
CXIDB ID 82
DOE Contract Number:
AC02-05CH11231
Product Type:
Dataset
Research Org(s):
Coherent X-ray Imaging Data Bank (Lawrence Berkeley National Laboratory); , SLAC
Sponsoring Org:
, SLAC
Resource Relation:
Related Information: Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source, Ti-Yen Lan et al. IUCrJ, 2018, http://dx.doi.org/10.1107/S205225251800903X
Subject:
23-ID-D; XFEL; APS; X-ray Free-electorn Lasers; Serial Crystallography; Hen egg white lysozyme
Related Identifiers:
OSTI Identifier:
1459500

Lan, Ti-Yen. Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source. United States: N. p., Web. doi:10.11577/1459500.
Lan, Ti-Yen. Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source. United States. doi:10.11577/1459500.
Lan, Ti-Yen. 2018. "Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source". United States. doi:10.11577/1459500. https://www.osti.gov/servlets/purl/1459500.
@misc{osti_1459500,
title = {Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source},
author = {Lan, Ti-Yen},
abstractNote = {This dataset consists of 79,992 diffraction patterns stored in cbf format. A step-by-step tutorial on the reconstruction of the Bragg intensities using the EMC algorithm (Loh & Elser 2009) is described [here](https://github.com/tl578/EMC-for-SMX/wiki). We thank the authors of Martin-Garcia et al. (2017) for their gracious access to the data. Reduced data files: For those who would like to try an EMC reconstruction immediately, the data reduction step can be skipped by downloading the reduced data files provided by us. See [here](https://github.com/tl578/EMC-for-SMX/wiki/Data-reduction#skipping-data-reduction) for more details.},
doi = {10.11577/1459500},
year = {2018},
month = {6} }
  1. The Coherent X-ray Imaging Data Bank (CXIDB) is a new database which offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. The main goal of the Coherent X-ray Imaging Data Bank is to create an open repository for CXI experimental data. CXIDB is dedicated to further the goal of making data from Coherent X-ray Imaging (CXI) experiments available to all, as well as archiving it. The website also serves as the reference for the CXI file format, in which most of the experimental data on the database is stored in.
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