five

Supporting Data for 'Ion-specific Stability of Gold Nanoparticle Suspensions'

收藏
DataCite Commons2025-02-05 更新2025-04-16 收录
下载链接:
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4456
下载链接
链接失效反馈
官方服务:
资源简介:
The data consist of photos and UVvis absorption spectra of suspensions of gold nanoparticles (AuNPs) containing various sodium salts of different concentrations. The data are collected in 5 archives. The UVvis spectra are in one archive separated in four sub-directories, one for each AuNP type and one for salt-free suspensions. For each AuNP type spectra are collected in subfolders labeled by the aging time, 0 h, ... 72 h. Each spectrum (one AuNP type, one ion type, one salt concentration) is a separate csv-file with wavelength in the first column and corresponding absorption in the second column. The name of the files indicates the included anion and the salt concentration in mM. The salt-free spectra only contain info about the particle type (L and S for large and small; both with citrate capping) and the relative concentration of AuNPs (1.0 corresponding to the AuNP concentration in the salt-containing samples). The photos are divided into 4 archives, one for each AuNP type containing the photos for salt concentrations of 10 mM, 25 mM, and 50 mM, and a fourth with the photos of all AuNP types at 100 mM salt concentration. Photos were taken every 15 min. For better findability they are explicitly named for all times for which data is shown in the publication. Photos always have the same structure: suspensions with the same salt concentration are grouped together (into groups of 5 cuvettes, one for each salt). Usually, three groups are in one photo, which are the same AuNP type and increasing salt concentration from left to right. Only for the 100 mM salt concentration photos the groups are the different AuNP types. In that case, the photo name relates the groups to the AuNP type.
提供机构:
Technical University of Darmstadt
创建时间:
2025-02-05
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