Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Greenhouse Data is a greenhouse gas emissions data repository created by Diego Acevedo Quintanilla, positioned as a “user-friendly repository.” It aggregates cleaned and harmonized GHG emissions inventory data and provides a large number of prebuilt figures for countries around the world. The site is built with Jekyll and includes a country index, About page, GitHub Repository, and Twitter links. The project is marked as under ongoing development.
Based on the crawled content, its core value lies in integrating emissions inventories from multiple sources. It covers data from BP, EIA, UNFCCC, EDGAR, FAO, CAIT, EPA, CDIAC, PRIMAP-hist, GCP, Minx et al. 2021, IEA, and others. Each country page lists available datasets and charts, such as CAIT, CDIAC, EDGAR, EIA, EPA, FAO, GCP, IEA, PRIMAP-hist, and more, along with chart identifiers for CO2 totals, relative totals, top subsectors, and similar views. For researchers, this is more convenient than visiting each original institution’s website one by one.
It is more of a data and static visualization repository than a traditional developer platform. The text includes GitHub Repository and View on Github links, indicating that the data can be obtained via GitHub, but there is no visible API, SDK, CLI, query parameters, package-manager installation method, or formal self-hosting documentation. On the technical side, the only explicitly stated stack detail is that it is Powered by Jekyll, making it suitable for static-site publishing and distributing data files.
The crawled text does not mention paid plans, subscriptions, enterprise editions, or payment methods, so it can generally be regarded as a free public project. For support channels, only GitHub and Twitter are visible; there is no SLA, email support, or commercial service description. The documentation navigation is clear, but the text does not show field definitions, processing workflows, licensing, version management, or data quality notes.
Its strengths are broad country coverage, rich data sources, and prebuilt charts that lower the barrier to analysis. It is suitable for climate policy research, data journalism, teaching, visualization prototypes, and cross-country emissions comparisons. The downsides are unclear programmatic access, reliance on GitHub for data retrieval, and limited documentation depth and service support. Teams that need a stable API, commercial licensing, or compliance audits should first verify the repository license and data processing documentation.
Whether the main site can be accessed directly cannot be confirmed from the text alone. However, GitHub access from mainland China is often unstable, and Twitter feeds are not directly accessible, so it is assessed as “partially restricted.” Alternatives to consider include Our World in Data, Climate Watch/CAIT, EDGAR, Global Carbon Project, and UNFCCC Data Interface.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on boligrafica.com official site.
boligrafica.com is an Unknown API & Data provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach boligrafica.com directly.