TY - JOUR
T1 - Free-electron laser data for multiple-particle fluctuation scattering analysis
AU - Pande, Kanupriya
AU - Donatelli, Jeffrey J.
AU - Malmerberg, Erik
AU - Foucar, Lutz
AU - Poon, Billy K.
AU - Sutter, Markus
AU - Botha, Sabine
AU - Basu, Shibom
AU - Doak, R. Bruce
AU - Dörner, Katerina
AU - Epp, Sascha W.
AU - Englert, Lars
AU - Fromme, Raimund
AU - Hartmann, Elisabeth
AU - Hartmann, Robert
AU - Hauser, Guenter
AU - Hattne, Johan
AU - Hosseinizadeh, Ahmad
AU - Kassemeyer, Stephan
AU - Lomb, Lukas
AU - Carron Montero, Sebastian F.
AU - Menzel, Andreas
AU - Rolles, Daniel
AU - Rudenko, Artem
AU - Seibert, Marvin M.
AU - Sierra, Raymond George
AU - Schwander, Peter
AU - Ourmazd, Abbas
AU - Fromme, Petra
AU - Sauter, Nicholas K.
AU - Bogan, Michael
AU - Bozek, John
AU - Bostedt, Christoph
AU - Schlichting, Ilme
AU - Kerfeld, Cheryl A.
AU - Zwart, Petrus H.
N1 - Funding Information:
This research was supported by the Max Planck society and in part, by the Advanced Scientific Computing Research and the Basic Energy Sciences programs, which are supported by the Office of Science of the US Department of Energy under Contract DE-AC02-05CH11231. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the US Department of Energy under Contract DE-AC02-05CH11231. Use of the Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515. This material is also based upon work partly supported by the National Science Foundation under Grant Nos 1240590 and 1733552. The research conducted at UWM was supported by the US Department of Energy, Office of Science, Basic Energy Sciences under award DE-SC0002164 (algorithm design and development), and by the US National Science Foundation under awards STC 1231306 (numerical trial models and data analysis) and 1551489 (underlying analytical models). Further support originates from the National Institute of General Medical Sciences of the National Institutes of Health (NIH) under Awards R01GM109019 and GM117126. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of NIH.
Publisher Copyright:
© The Author(s) 2018.
PY - 2018
Y1 - 2018
N2 - Fluctuation X-ray scattering (FXS) is an emerging experimental technique in which solution scattering data are collected using X-ray exposures below rotational diffusion times, resulting in angularly anisotropic X-ray snapshots that provide several orders of magnitude more information than traditional solution scattering data. Such experiments can be performed using the ultrashort X-ray pulses provided by a free-electron laser source, allowing one to collect a large number of diffraction patterns in a relatively short time. Here, we describe a test data set for FXS, obtained at the Linac Coherent Light Source, consisting of close to 100 000 multi-particle diffraction patterns originating from approximately 50 to 200 Paramecium Bursaria Chlorella virus particles per snapshot. In addition to the raw data, a selection of high-quality pre-processed diffraction patterns and a reference SAXS profile are provided.
AB - Fluctuation X-ray scattering (FXS) is an emerging experimental technique in which solution scattering data are collected using X-ray exposures below rotational diffusion times, resulting in angularly anisotropic X-ray snapshots that provide several orders of magnitude more information than traditional solution scattering data. Such experiments can be performed using the ultrashort X-ray pulses provided by a free-electron laser source, allowing one to collect a large number of diffraction patterns in a relatively short time. Here, we describe a test data set for FXS, obtained at the Linac Coherent Light Source, consisting of close to 100 000 multi-particle diffraction patterns originating from approximately 50 to 200 Paramecium Bursaria Chlorella virus particles per snapshot. In addition to the raw data, a selection of high-quality pre-processed diffraction patterns and a reference SAXS profile are provided.
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U2 - 10.1038/sdata.2018.201
DO - 10.1038/sdata.2018.201
M3 - Article
C2 - 30277481
AN - SCOPUS:85054080078
VL - 5
JO - Scientific data
JF - Scientific data
SN - 2052-4463
M1 - 180201
ER -