
OpenIO v2.9 Plastic waste account Relying on the physical flow account for plastic material, openIO now covers generated plastic waste linked to different plastic purchases as well as the average end-of-life of these wastes (landfilled, incinerated, mismanaged, recycled or leaked into the environment). In addition, the impact on biodiversity of leaked plastic waste is characterized in a new impact category called "Physical effect on biota". We rely on the charcterization factors developed by the MariLCA team. More on their work here: https://doi.org/10.1016/j.jclepro.2023.138197 Disaggregated GHG In the v2.8, I was not allowed to use the disaggregated GHG accounts from StatCan and so openIO operated with the aggregated version. Now I have the authorization to once again use the disaggergated accounts. As a result, the impact of climate change on human health and ecosystem quality can once again be quantified. Furthermore, the characterization factors from the IPCC AR6 report are now implemented. Updated requirements The Python packages used were beginning to be quite old. So I updated the code to work with newer versions of pandas and numpy. Check the new requirements.txt file
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
