five

Identifying wastewater chemicals in coastal aerosols

收藏
DataONE2025-05-06 更新2025-05-10 收录
下载链接:
https://search.dataone.org/view/sha256:782946033bf0d62786253ec0dd05589b330738d9e31cab5c8e051445ec3e3d28
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset accompanies our Science Advances manuscript investigating the aerosolization of wastewater-derived contaminants from the Tijuana River along the U.S.–Mexico border. It includes raw and processed data used to assess the spatial distribution and atmospheric transport of contaminants from coastal waters into the air. Files include: (1) Data tables with air mass origin assignments and quantified contaminant concentrations; (2) raw mass spectrometry data files and (3) links to external repositories hosting pre-processed MS and MS/MS data, as well as Global Natural Products Social Molecular Networking (GNPS) visualizations. These data support the spatial and chemical analyses presented in the manuscript and are intended to facilitate transparency, reproducibility, and further research on coastal aerosol pollution., , # Identifying Wastewater Chemicals in Coastal Aerosols Dataset DOI: [10.5061/dryad.ksn02v7gp](10.5061/dryad.ksn02v7gp) ## Description of the data and file structure This dataset accompanies our *Science Advances* manuscript investigating the aerosolization of wastewater-derived contaminants from the Tijuana River along the U.S.–Mexico border. It includes raw and processed data used to assess the spatial distribution and atmospheric transport of contaminants from coastal waters into the air. Files include: Data tables in .csv format of (1) calibration curve data, (2) mass spectral intensities and concentrations of field sample data, (3) concentration metadata, (4) air mass origin assignments, and (5) raw mass spectrometry data files that may be viewed or processed in mzmine or similar software packages available externally. These data support the spatial and chemical analyses presented in the manuscript and are intended to facilitate transparency, reproducibility, and further research...,
创建时间:
2025-05-07
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