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13 files

Coherent X-ray Scattering Reveals Nanoscale Fluctuations in Hydrated Proteins

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posted on 2023-05-23, 09:59 authored by Maddalena BinMaddalena Bin

Datasets:

  1. "Figure1a.csv": scattering intensity of hydrated proteins in Wide-Angle X-ray Scattering for different fluences  (in units of photons/second/area).
  2. "Figure1a_inset.csv": scattering intensity of hydrated proteins in Small-Angle X-ray Scattering for different fluences (in units of photons/second/area).
  3. "Figure1b.csv": Intensity autocorrelation functions g2 at momentum transfer Q = 0.08 1/nm for different fluences (in units of photons/second/area). 
  4. "Figure1b_inset.csv":  decay rate (in second) as a function of the momentum transfer Q (in 1/nm) for different fluences (in units of photons/second/area).
  5. "Figure1c.csv": decay rate (in second) for variable fluence (in photons/second/um^2) at the momentum transfer Q = 0.08 1/nm.
  6. "Figure1d.csv": renormalised intensity autocorrelation functions g2 at momentum transfer Q = 0.08 1/nm for variable fluence (in photons/second/um^2), where the time axis is normalised to the corresponding fluence F by calculating t/(1 + a · F·τ0), where τ0 is the equilibrium time constant extracted by extrapolation to F=0 (from data in "Figure1c.csv)"
  7. "Figure2a.csv": The Wide-Angle X-ray Scattering scattering intensity at different temperatures T=180-290 K
  8. "Figure2b.csv": The Small-Angle X-ray Scattering scattering intensity at different temperatures T=180-290 K
  9. "Figure2c.csv": Intensity autocorrelation functions g2 for different temperatures (T=180-290 K) at momentum transfer Q = 0.1 1/nm.
  10. "Figure2d-2e.csv": time constants (in second) and the Kohlrausch-Williams-Watts (KWW) exponent extracted from the fits of data in "Figure2c.csv" as a function of temperature (in K)
  11. "Figure3b.csv": The normalised variance Chi_T at different temperatures (T=180-290 K) extracted from the two-time correlation functions.
  12. "Figure3c.csv": The maximum of the normalised variance Chi_0 as a function of temperature (in K).


Additionally, a Jupyter notebook "open-data.ipynb" which shows how to load and plot the data from the csv files in Python.

Funding

Vetenskapsrådet

Röntgen-Ångström Cluster 2019-06075

Max-Planck-Gesellschaft (Max Planck Society)

Carl Tryggers Foundation

Wenner-Gren Foundation

Deutsche Forschungsgemeinschaft

Ragnar SÖderbergs Stiftelse

BMBF

History

Original language

  • English

Associated Publication

Maddalena Bin, Mario Reiser, Mariia Filianina, Sharon Berkowicz, Sudipta Das, Sonja Timmermann, Wojciech Roseker, Robert Bauer, Jonatan Öström, Aigerim Karina, Katrin Amann-Winkel, Marjorie Ladd-Parada, Fabian Westermeier, Michael Sprung, Johannes Möller, Felix Lehmkühler, Christian Gutt, and Fivos Perakis, "Coherent X-ray scattering reveals nanoscale fluctuations in hydrated proteins", 2023

Affiliation (institution of first SU-affiliated author)

  • 402 Fysikum | Department of Physics

access_level

  • public

access_condition

  • PUBLIC

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