The digital and green transition fundamentally reshapes global material demand and the future supply of secondary raw materials. Within this context, the RAWCLIC project provides a harmonized and consolidated dataset of battery compositions, essential for supporting robust resource management and circular economy strategies. By applying the RAWCLIC framework to the FutuRaM raw battery composition dataset, we have performed an uncertainty-based (Monte Carlo) consolidation. This enables systematic assessments of material flows. The record consists of three primary components: Consolidated Dataset (RAWCLIC_BATT_consolidated_data_V1.xlsx) Data Description Document (RAWCLIC_BATT_consolidated_data_description_V1.pdf) Distribution Profiles (Consolidation_Results.zip): A compressed archive containing detailed distribution data organized into 50 bins. These files enable the reconstruction of material distributions by providing key parameters such as minimum, maximum, count and frequency. To ensure clarity and machine-readability, the files follow a strict naming convention that encodes essential metadata, including: Relevant product, component, and material keys, as well as element identifiers where required. Parameter codes necessary for clarifying the compositional information. This dataset is designed to support life cycle assessments (LCA), material flow analysis (MFA), and the development of Digital Product Passports (DPP) by providing a transparent, evidence-based foundation for battery material research.