source

GEMIS

135 Factors135 Factor
1 Region1 Region
114 Activities114 Activity

About GEMIS

GEMIS, or the Global Emission Model for Integrated Systems, is a comprehensive life cycle assessment (LCA) software tool developed by IINAS, the Institute for Integrated Environmental Assessments. The tool is designed to analyse and model the environmental impacts of various technologies, products, and services. GEMIS covers a wide range of sectors, including energy, transport, materials, and agriculture, among others, providing reliable and consistent emission factors.

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DATASET

GEMIS model and database

PropertyValue
Description
GEMIS, or the Global Emission Model for Integrated Systems, is a comprehensive life cycle assessment (LCA) software tool developed by IINAS, the Institute for Integrated Environmental Assessments. The tool is designed to analyse and model the environmental impacts of various technologies, products, and services. GEMIS covers a wide range of sectors, including energy, transport, materials, and agriculture, among others, providing reliable and consistent emission factors.
Source type
Non-profit research organisation
Original dataset URLURL
Year released
2021
Geography
Germany
Sector
Type of data
Activity-based
Emission results
CO2e - CO2 - CH4 - N2O
Data Transformation
NA

License

PropertyValue
Type of license
Creative Commons Attribution-ShareAlike 4.0 International License
License URLURL

Data quality

PropertyValue
Data quality assurance
Vetted by Climatiq
Quality flag(s)
NA

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    GLEC

    The Global Logistics Emissions Council (GLEC) is a partnership between industry, government, and non-governmental organisations that aims to develop and promote a standardised approach for measuring and reporting greenhouse gas emissions from logistics supply chain activities, including freight transport by road, rail, air, and sea.

  • Go to ICM Database

    ICM Database

    The Integrated Carbon Metrics (ICM) Database is an Australian-specific life cycle inventory providing carbon footprint intensities for construction and building materials. It includes results from both a process method (based on AusLCI process data) and a hybrid method (combining process data with input-output data to capture upstream activities).

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