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        <parTitl xml:lang="en">Dataset for "Nanocrystallites Modulate Intermolecular Interactions in Cryoprotected Protein Solutions"</parTitl>
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        <parTitl xml:lang="en">Dataset for "Nanocrystallites Modulate Intermolecular Interactions in Cryoprotected Protein Solutions"</parTitl>
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        <AuthEnty xml:lang="en" affiliation="Stockholm University">Perakis, Foivos</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Stockholm University">Bin, Maddalena</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Stockholm University">Berkowicz, Sharon</AuthEnty>
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      <abstract xml:lang="en" contentType="abstract">1. "fig_1a.csv": Small-angle scattering intensity I(Q) as a function of the momentum transfer Q measured for 10 mg/ml lysozyme in 23 mol% glycerol-water at different temperatures upon cooling down after subtracting the scattering intensity measured on the pure solvent. (Note: I(Q) in arbitrary units).

2. "fig_1_inset.csv": Radii of gyration as a function of temperature upon cooling and warming as extracted from fitting the I(q)s for the dilute sample with an elliptical form factor. 

3. "fig_1b.csv": Small-angle scattering intensity I(Q) as a function of the momentum transfer Q measured for 200 mg/ml lysozyme in 23 mol% glycerol-water at different temperatures upon cooling down after subtracting the scattering intensity measured on the pure solvent. (Note: I(Q) in arbitrary units).

4. "fig_2a.csv": Wide-angle scattering intensity I(Q) as a function of the momentum transfer Q measured for 200 mg/ml lysozyme in 23 mol% glycerol-water for different temperatures upon cooling. (Note: I(Q) in arbitrary units).

5. "fig_2b.csv": Wide-angle scattering intensity I(Q) as a function of the momentum transfer Q measured for 200 mg/ml lysozyme in 23 mol% glycerol-water for different temperatures upon warming up. (Note: I(Q) in arbitrary units).

6. "fig_2c.csv": 2D scattering pattern in the vicinity of Q ≈ 16-20 nm-¹ measured at T = 197 K during heating.

7. "fig_2d.csv": 2D scattering pattern in the vicinity of Q ≈ 16-20 nm-¹ measured at T = 245 K during heating.

8. "fig_2e.csv": Temperature evolution of the I(Q) around the ice Ih[002] diffraction peak centered at Q ≈ 17 nm−¹ upon cooling.

9. "fig_2f.csv": Temperature evolution of the I(Q) around the ice Ih[002] diffraction peak centered at Q ≈ 17 nm−¹ upon warming up.

10. "fig_3a.csv": Temperature dependence of the Q-value of the SAXS I(Q) peak position for a 200 mg/ml lysozyme in glycerol-water solution during a deep temperature cycle down to 195 K.

11. "fig_3b.csv": Temperature dependence of the Q-value of the SAXS I(Q) peak position for a 200 mg/ml lysozyme in glycerol-water solution during a medium temperature cycle down to 225 K.

12. "fig_3c.csv": Temperature dependence of the Q-value of the SAXS I(Q) peak position for a 200 mg/ml lysozyme in glycerol-water solution during a shallow temperature cycle down to 245 K.

13. "fig_3d.csv": Temperature dependence of the Q-value of the WAXS I(Q) peak position for a 200 mg/ml lysozyme in glycerol-water solution during a deep temperature cycle down to 195 K.

14. "fig_3e.csv": Temperature dependence of the Q-value of the WAXS I(Q) peak position for a 200 mg/ml lysozyme in glycerol-water solution during a medium temperature cycle down to 225 K.

15. "fig_3f.csv": Temperature dependence of the Q-value of the WAXS I(Q) peak position for a 200 mg/ml lysozyme in glycerol-water solution during a shallow temperature cycle down to 245 K

16. "fig_4a.csv": The protein-protein structure factor S(Q) at different temperatures (T = 195-300 K) upon cooling obtained from the fits using the two-Yukawa model.

17. "fig_4b.csv": Temperature dependence of the attraction strength parameter K₁ (in units of kbT) extracted from fitting the SAXS curves upon cooling down and warming up. 

18. "fig_4c.csv": The two-Yukawa potential at different temperatures (T = 195-300 K) upon cooling down. 

19. "fig_4d.csv": The pair distribution function g(r) at different temperatures (T = 195-300 K) derived from the modeled structure factors.

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