Dataset for the publication: Ruthenium-Catalyzed "Open-Loop" Recycling of Polyethylene via Tandem Isomerization-Metathesis (ISOMET)

This dataset contains the processed data collected in the research study titled "Ruthenium-Catalyzed “Open-Loop” Recycling of Polyethylene via Tandem Isomerization-Metathesis (ISOMET)" published in Green Chemistry. Description of included data: pyrolysis_product_dist_fig2.csv Units: wt% wt% for heavy and light with respect to the total liquid fraction total liquid fraction = 100 - gases wt% - solids wt% chain_length_dist_fig3.csv Column compound: number of C-atoms in chain Columns before and after in mg full_conv_exp_run1.csv and full_conv_exp_run2.csv Column time in minutes Columns for propylene and butene in mmol 20mLDoE_fig4b.csv Column temperature in °C Column pressure in bar 50mLDoE_fig4c.csv Column temperature in °C Column pressure in bar rep_batch_full_fig4d.csv Column time in h Column propylene in mmol Column exchange: if "yes" gas phase was exchanged after measurement tga_tipelin_610B_figS1.csv Column temp in °C Column time in min Column mass in wt% plot.py Recreates all the figures in the publication. Requires the packages matplotlib, numpy, pandas, rwthcolors and scipy to be installed in the environment.本数据集包含发表于《Green Chemistry》（绿色化学）的题为《钌催化串联异构化-复分解（ISOMET）法实现聚乙烯“开环”回收》的研究中采集的经预处理数据。 包含数据说明： 1. pyrolysis_product_dist_fig2.csv 单位：质量百分比（wt%） 轻重组分的质量百分比均以总液相馏分为基准计算；总液相馏分 = 100 - 气相质量百分比 - 固相质量百分比 2. chain_length_dist_fig3.csv 列说明：compound 代表碳链中的碳原子数目；其余前后两列单位均为毫克（mg） 3. full_conv_exp_run1.csv 与 full_conv_exp_run2.csv 列说明：time 为时间，单位为分钟（min）；propylene（丙烯）与butene（丁烯）列的单位为毫摩尔（mmol） 4. 20mLDoE_fig4b.csv 列说明：temperature 为温度，单位为摄氏度（°C）；pressure 为压力，单位为巴（bar） 5. 50mLDoE_fig4c.csv 列说明：temperature 为温度，单位为摄氏度（°C）；pressure 为压力，单位为巴（bar） 6. rep_batch_full_fig4d.csv 列说明：time 为时间，单位为小时（h）；propylene 列的单位为毫摩尔（mmol）；exchange 列：若取值为“yes”，则表示测量完成后进行了气相置换操作 7. tga_tipelin_610B_figS1.csv 列说明：temp 为温度，单位为摄氏度（°C）；time 为时间，单位为分钟（min）；mass 为质量百分比（wt%） 8. plot.py 用于复现该研究论文中的全部图表，运行该脚本需预先在运行环境中安装matplotlib、numpy、pandas、rwthcolors 及 scipy 工具包。