Click the button below to build a personalized diet using a single jupyter notebook running on Python 3.6. No need to download any software.

Click the button below to build a database with country and month specific impacts for each food item using a single jupyter notebook running on Python 3.6. No need to download any software.

Relevant Columns are:

• Food Name (the name of the food item)
• totalGHG_all (a list of tuples of the countries that produce the food item in that month and the summed impacts of all life cycle stages)
• trade_impacts_GHG (these same impacts but only for countries that trade that item with the country of consumption)
• seasonal_landbio_updated (the biodiversity loss impacts for all countries that can potentially produce that item in that given month)

This website will build a personalized, low impact diet for an individual without needing to access code. https://clw208.github.io/nb1/User_Inputs.html

Details of this work are in the following publication:

Walker C, Pfister S, Hellweg S. Methodology and optimization tool for a personalized low environmental impact and healthful diet specific to country and season. J Ind Ecol 2021;00:1-14. https://doi.org/10.1111/jiec.13131