Regional Assessment of buildings' Material Intensities (RASMI): Version 20230905: first public release B - data only

Version 20230905: first public release of RASMI (Regional Assessment of buildings' Material Intensities).

This Zenodo version contains two files:

• MI_ranges_20230905.xlsx is the dataset of the estimated MI ranges. This is probably the file you're looking for.
• MI_data_20230905.xlsx is the raw pools of MI used to create the MI ranges. This is mostly for reproducability.

Please refer to the GitHub readme.md in https://github.com/TomerFishman/MaterialIntensityEstimator for details and how to use.

Please cite both the Data Descriptor and the specific data version used:

Data Descriptor: Tomer Fishman, Alessio Mastrucci, Yoav Peled, Shoshanna Saxe, Bas van Ruijven. RASMI: Global Ranges of Building Material Intensities Differentiated by Region, Structure, and Function. Scientific Data 2024, 11 (1), 418. https://doi.org/10.1038/s41597-024-03190-7.

Data version: preferably use the DOI of the Zeonodo release. Refer to the release number (on the right)

This work was conducted with support by the IIASA-Israel program, and by the Israel Science Foundation project RUSTY (grant no. 2706/19). Funding was also provided by the Horizon Europe research and innovation programme under grant agreement no. 101056868 (CIRCOMOD) for TF and grant agreement No 101056810 (CircEUlar) for AM. Opinions are those of the authors only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for this. BvR and AM have been supported by the Energy Demand changes Induced by Technological and Social innovations (EDITS) project, which is an initiative coordinated by the Research Institute of Innovative Technology for the Earth (RITE) and the International Institute for Applied Systems Analysis (IIASA), and funded by the Ministry of Economy, Trade, and Industry (METI), Japan. SS was supported by the Canada Research Chair in Sustainable Infrastructure, Grant Number: 232970.