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DCPS-182.py
DCPS-182.py
 
 
DCPS-183.py
DCPS-183.py
 
 
DCPS-184.py
DCPS-184.py
 
 
DCPS_19.py
DCPS_19.py
 
 
DCPS_30.py
DCPS_30.py
 
 
DCPS_32.py
DCPS_32.py
 
 
DCPS_49.py
DCPS_49.py
 
 
DCPS_52.py
DCPS_52.py
 
 
DCPS_57.py
DCPS_57.py
 
 
DCPS_58.py
DCPS_58.py
 
 
DCPS_60.py
DCPS_60.py
 
 
DCPS_67.py
DCPS_67.py
 
 
DCPS_68.py
DCPS_68.py
 
 
DCPS_69.py
DCPS_69.py
 
 
DCPS_78.py
DCPS_78.py
 
 
DCPS_84.py
DCPS_84.py
 
 
DCPS_93.py
DCPS_93.py
 
 
DCPS_95.py
DCPS_95.py
 
 
DCPS_98.py
DCPS_98.py
 
 
DCPS_99.py
DCPS_99.py
 
 
ReadMe
ReadMe
 
 
children_exposure_script.Rmd
children_exposure_script.Rmd
 
 
children_exposure_script_redo.Rmd
children_exposure_script_redo.Rmd
 
 
dcps 185 - siloxanes in cosmetics.py
dcps 185 - siloxanes in cosmetics.py
 
 
dcps-186.py
dcps-186.py
 
 
dcps_10.py
dcps_10.py
 
 
dcps_100.py
dcps_100.py
 
 
dcps_102.py
dcps_102.py
 
 
dcps_105.py
dcps_105.py
 
 
dcps_106.py
dcps_106.py
 
 
dcps_111.py
dcps_111.py
 
 
dcps_116.py
dcps_116.py
 
 
dcps_121.py
dcps_121.py
 
 
dcps_14.py
dcps_14.py
 
 
dcps_154.py
dcps_154.py
 
 
dcps_173.py
dcps_173.py
 
 
dcps_180_diy_products_ext.py
dcps_180_diy_products_ext.py
 
 
dcps_180_flower_pesticides.py
dcps_180_flower_pesticides.py
 
 
dcps_187_textile_face_masks.py
dcps_187_textile_face_masks.py
 
 
dcps_2.py
dcps_2.py
 
 
dcps_21.py
dcps_21.py
 
 
dcps_34.py
dcps_34.py
 
 
dcps_36.py
dcps_36.py
 
 
dcps_39.py
dcps_39.py
 
 
dcps_40.py
dcps_40.py
 
 
dcps_42.py
dcps_42.py
 
 
dcps_43.py
dcps_43.py
 
 
dcps_46.py
dcps_46.py
 
 
dcps_53.py
dcps_53.py
 
 
dcps_54.py
dcps_54.py
 
 
dcps_55.py
dcps_55.py
 
 
dcps_65.py
dcps_65.py
 
 
dcps_66.py
dcps_66.py
 
 
dcps_70.py
dcps_70.py
 
 
dcps_76.py
dcps_76.py
 
 
dcps_77.py
dcps_77.py
 
 
dcps_79.py
dcps_79.py
 
 
dcps_83.py
dcps_83.py
 
 
dcps_86.py
dcps_86.py
 
 
dcps_88.py
dcps_88.py
 
 
dcps_89.py
dcps_89.py
 
 
dcps_household_detergent_substances.py
dcps_household_detergent_substances.py
 
 
dcps_slime_toys.py
dcps_slime_toys.py
 
 
dpcs_fluorinated_subs_script.py
dpcs_fluorinated_subs_script.py
 
 
dps_thermal_papers_ext.py
dps_thermal_papers_ext.py
 
 
substances_in_decorative_liquids.Rmd
substances_in_decorative_liquids.Rmd
 
 

ReadMe

lkoval
4/17/19

Extracts the chemical names and cas numbers from tables in Danish CPS Surveys on Chemical Substances in Consumer Products. Extracted tables are noted in each script. A csv is then generated which is to be uploaded into Factotum. Extraction used tabula-py version 1.1.1 and pandas version 0.24.1 in Python 3.7.2.