five

Nanocrystallites Modulate Intermolecular Interactions in Cryoprotected Protein Solutions

收藏
DataCite Commons2023-08-21 更新2024-07-13 收录
下载链接:
https://su.figshare.com/articles/dataset/Nanocrystallites_Modulate_Intermolecular_Interactions_in_Cryoprotected_Protein_Solutions/23295626/1
下载链接
链接失效反馈
官方服务:
资源简介:
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<sup>-1</sup> measured at T = 197 K during heating. 7. "fig_2d.csv": 2D scattering pattern in the vicinity of Q ≈ 16-20 nm<sup>-1</sup> 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<sup>−1</sup> upon cooling. 9. "fig_2f.csv": Temperature evolution of the I(Q) around the ice Ih[002] diffraction peak centered at Q ≈ 17 nm<sup>−1</sup> 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 K<sub>1</sub> (in units of k<sub>b</sub>T) 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. <br> <br> <br> <br> <br> <br>
提供机构:
Stockholm University
创建时间:
2023-06-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作