Municipality-level Carbon Intensity (CI) and Demand-Sensitive Carbon Intensity (SCI) Dataset for Japan

Description This dataset contains municipality-level Carbon Intensity (CI) and Demand-Sensitive Carbon Intensity (SCI) time series for the 333 municipalities retained for the main CI–SCI analysis after applying the uncertainty-screening procedure described in the associated study. The dataset provides municipality-level CI and SCI values used in a study of urban carbon-intensity dynamics while preserving the confidentiality of the underlying smart-meter measurements. The values correspond to the Baseline (TSO mix) scenario adopted throughout the study, in which time-varying generation mixes of the corresponding transmission system operators (TSOs) are used to estimate electricity-related emissions. Alternative pessimistic and optimistic emission-factor scenarios used solely for uncertainty assessment are not included in this release. In addition to the municipality-level CI and SCI datasets, this repository also contains a set of reproduction scripts (reproduction_scripts.zip) that generate simplified versions of the principal municipality-level analyses presented in the associated study. These scripts operate solely on the publicly released datasets and are intended to facilitate transparency and reproducibility while preserving the confidentiality of the underlying smart-meter measurements. Spatial coverage 333 municipalities in Japan included in the main CI–SCI analysis. Municipalities with substantial uncertainty in CI estimation due to unidentified distributed generation were excluded, as described in the associated study. Temporal coverage 1 April 2024 – 31 March 2025 Temporal resolution: 30 min Related publication Yu Fujimoto, Soma Sugano, Masataka Mitsuoka, Yuto Ihara, Satoru Shimokawa, Yasuhiro Hayashi, "Hidden Heterogeneity in Low-Carbon Cities via Demand-Sensitive Carbon Intensity", Research Square preprint, Version 1, February 2026. doi: 10.21203/rs.3.rs-8891089/v1 Version history Ver. 1.0: Released.