Anode copper has high electrical conductivity, good ductility and ease of processing, and is a key intermediate product for achieving high-purity copper production in the copper industry chain; its quality directly affects the performance of downstream cathode copper and end-use copper products. The key upstream raw material of this product is pyrometallurgically refined copper or blister copper, derived from copper concentrate through roasting, smelting and fire refining; downstream it mainly enters the electrolytic refining process to produce high-purity cathode copper, or is supplied as high-purity copper plate for specific uses to industries such as wires and cables, electronic components, heat exchangers and architectural decoration. The system boundary includes sub-processes such as raw material pretreatment, electrolytic refining, separation of cathode copper and anode slime, electrolyte purification and recycling, and the treatment of waste gas and wastewater during production, covering the consumption of main raw and auxiliary materials, energy consumption and the solid and liquid waste generated, but does not include infrastructure processes such as copper concentrate mining, beneficiation, the front-end pyrometallurgical smelting steps, the long-distance transport of raw materials and products, and the manufacture of production equipment and plant construction. The data sources integrate industry average data, on-site measured data from typical smelters and relevant literature, and are formed by merging data from multiple sources. For multi-product steps such as the recovery of precious metals accompanying the electrolytic process, a method combining mass allocation and economic value is adopted to split the data, so as to ensure the independence and comparability of the different product systems. This dataset includes the main raw and auxiliary materials, energy and waste of the production process, while infrastructure such as the manufacture of production equipment and plant construction is not included within the dataset boundary; the inventory is formed by merging data from multiple sources.