Documentation
- Publisher
- DCA: Nationalt Center for Fødevarer og Jordbrug, Aarhus Universitet
- Geographic coverage
- Denmark
- Temporal coverage
- Kulstof2022
- Coordinate reference system
- EPSG:4326
- Geometry
- Polygon and MultiPolygon
Edition overview
- Last documented
- 2026-09-01
Technical detailsFor developers and reproducibility
The release ID precisely identifies this published edition. The SHA-256 fingerprint changes when the normalized dataset content changes and can be used for troubleshooting and verification.
- Internal release ID
kulstof2022-static:2050a2ea831d180ed59e1677395317801b3ab4d515df1b99ada757adccd830f3:8599944ae55eb714e29402ff5d95ca966bd2bba504cb91346eb6bceca352b5f4- Content fingerprint (SHA-256)
2050a2ea831d180ed59e1677395317801b3ab4d515df1b99ada757adccd830f3
Use the data yourself
Danmarks Miljøportal data terms · You may copy, adapt and share the data, including commercially. Include the required credit and do not imply official endorsement.
Attribution: Indeholder data, som benyttes i henhold til vilkår for brug af danske offentlige data. Kulstof2022, DCA/Aarhus Universitet via Danmarks Miljøportal. · kulstof2022-static
The catalogue identifies the layer without a separate licence. We refer to Miljøportal’s general terms for its open data catalogue.
Terms reviewed: 2026-09-07. Processing and calculations: openlanddata.Access to data
Technical access with PMTilesURL for software that supports HTTP Range
The map archive requires HTTP Range. Use HEAD for file information and bounded GET requests of at most 2 MiB, for example Range: bytes=0-16383. This URL does not support whole-file browser downloads.
Select and copy the URL into your mapping software.
- Map representation release ID
kulstof2022-static:2050a2ea831d180ed59e1677395317801b3ab4d515df1b99ada757adccd830f3:8599944ae55eb714e29402ff5d95ca966bd2bba504cb91346eb6bceca352b5f4
PMTiles is a map representation with geometry that depends on zoom level. Use the export tool or authority source for analysis with source geometry. The source identity is listed under Technical details.
Dataset fields
carbon_classCarbon class
Classification of soil carbon content as 6–12% or above 12%.
Limitations and responsibility
The model uses soil data and has local uncertainty. The map does not show approved projects or calculated emissions savings. Kulstof2022 names the underlying map; publication and retrieval dates are separate information.