five

Rare Earths Elements, Sustainability and Circular Economy

收藏
Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/rare-earths-elements-circular-economy/2824236
下载链接
链接失效反馈
官方服务:
资源简介:
Data were sourced from Australian and international institutions that have established databases for raw materials, such as Geoscience Australia, Lynas Corporation annual reports, UNEP International Resource Panel (IRP), and US Geological Survey (USGS) among others (Huleatt, 2019; International Resource Panel-UNEP, 2018; Lynas Rare Earths Ltd, 2010; U.S. Geological Survey, 2020). The collection of this data set enabled the assessment of REEs material flows (using MFA), from extraction through to the EoL of REEs. These flows served as the input (inventory data) to determine the environmental impacts derived from the consumption of these metals.  The CSV file contains a list of literature search engines, specific search strategies and keywords, and a summary of the number of literatures consulted for a study on material flow analysis(MFA) of Rare earth elements and their sustainable use to reduce potential environmental impacts. The MS Word file contains a data presentation plan for the MFA and LCIA study, as well as information on REE consumption and distribution in various end-use sectors, Australian REE exports and imports obtained from the World Integrated Trade Solution (WITS), global REE mine production in percentages (%), Australia’s position in global REE production obtained from Geoscience Australia/US Geological Survey, and life cycle methodologies characterisation factors from ecoinvent. Collecting this data set allowed the assessment of the material flows of rare earth elements (REEs), from extraction to end-of-life (EoL), using material flow analysis (MFA). These flows were then used as input data to determine the environmental impacts of REE consumption. Software/equipment used to create/collect and manipulate/analyse the data:-Excel-SimaPro software version 9.1.1/-Ecoinvent-WITS(World integrated trade solution(import-export database)
提供机构:
James Cook University
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作