Search
Voluntary Registry Offsets Database

University of Chicaco| Source | Data  

The Voluntary Registry Offsets Database, developed by the Berkeley Carbon Trading Project, consolidates carbon offset projects, credits, and retirements from major voluntary offset registries like ACR, CAR, Gold Standard, and VCS. It enhances market transparency, aiding researchers and buyers in tracking projects and credits. Dynamic tools enable users to analyze trends and explore data by various parameters. The database, available for download, is released under a Creative Commons license, allowing its use with proper attribution. It includes supporting documents and version archives, facilitating understanding and analysis of offset quality and trends in the voluntary carbon market.

Viewed Articles
Voluntary Registry Offsets Database
University of Chicaco| Source | Data  | The Voluntary Registry Offsets Database, developed by the Berkeley Carbon Trading Project, consolidates carbon offset projects, credits, and retirements from ma
Read More
Project FOODPathS
European Commission | Source | Summary |  Project FOODPathS, funded by the European Commission, aims to co-design the prototype for the European Partnership for Sustainable Food Systems (SFS) for Peop
World Wide Fund for Nature: Oceans
World Wide Fund for Nature (WWF) | Source | WWF’s Oceans programme works with the EU, Member States, industry, and civil society to foster a healthy, resilient marine environment and blue economy. Key
COMMUNITREE
 COMMUNITREE is a Chennai-based environmental organization dedicated to expanding urban forests and community green spaces across urban and surrounding areas, including schools, parks, public institut
Gold Standard for the Global Goals
Gold Standard | Source | Methodology development | Carbon Registry |  The Gold Standard for the Global Goals is an innovative standard aimed at maximizing positive impact while minimizing risks, parti
The Spatial Production Allocation Model
CGIAR | Source |  The Spatial Production Allocation Model (SPAM) helps map detailed crop production patterns using limited data. By integrating various sources, SPAM estimates crop distribution across
TOP