Published April 10, 2023 | Version v2

Global trade data of highly hazardous chemicals after data treatment and Python codes used for error analysis and mirror analysis

  • 1. Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, China
  • 2. Tianjin Key Laboratory of Aquatic Science and Technology, Tianjin Chengjian University, China
  • 3. Empa − Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Laboratory, Switzerland; Chair of Ecological Systems Design, Institute of Environmental Engineering, ETH Zürich, Switzerland

Description

This database includes all global trade data of the three types of highly hazaroudous chemicals listed under the Rotterdam Convention after error analysis and mirror analysis. Python codes used for error analysis and mirror analysis are also available.

 

 Corresponding authors: hongyan.zou@tjnu.edu.cn; Zhanyun.wang@empa.ch

Files

Industrial chemicals.csv

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