five

Compilation of open asset-level data, as of Dec 2022

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/7804658
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is a compilation of open asset-level data, which means the location of sites (e.g., operation, manufacturing, processing facilities of global supply chains), as of December 2022. This included data from 9 publicly available sources, that after data cleaning and harmonization, resulted in 189,075 data points.  Data source Number of data points Open Supply Hub (former Open Apparel Registry) 96,736 Global Power Plant Database 35,419 Climate trace 19,945 FDA database 12,898 Global Dam Watch 11,017 EudraGMDP database 5,181 Sustainable Finance Initiative GeoAsset Databases 4,716 Global Tailings Portal 1,956 Fine print Mining Database 1,207 This data was assigned with the industry in which the asset is. The summary table below shows the number of assets by industry. Industry Number of assets         Textiles, Apparel & Luxury Good Production              96,736 Health Care, Pharma and Biotechnology 18,079 Energy - Solar, Wind 16,282 Energy - Hydropower 14,515 Energy - Geothermal or Combustion 11,724 Metals & Mining 11,210 Transportation Services 4,872 Construction Materials 3,117 Agriculture (animal products) 2,388 Agriculture (plant products) 1,896 Oil, Gas & Consumable Fuels 1,194 Water utilities / Water Service Providers 892 Hospitality Services 294 Fishing and aquaculture 14 Other 5,862 Note that this compilation is based on an extensive search, however, we acknowledge that there is a significant discrepancy in data coverage/comprehensiveness among the different industries. The industry "Textiles, Apparel & Luxury Good Production" is by far the most complete, while other are clearly far from complete, for example, “Construction Materials”, "Agriculture (animal products)”, “Agriculture (plant products)”, “Oil, Gas & Consumable Fuels”, “Water utilities / Water Service Providers”, “Hospitality Services”, “Fishing and aquaculture”. Therefore, any comparison between industries should take this coverage/comprehensiveness bias into consideration.
创建时间:
2024-07-12
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