Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3

This dataset provides six global gridded products at 1-km resolution of predicted annual soil respiration (Rs) and associated uncertainty, maps of the lower and upper quartiles of the prediction distributions, and two derived annual heterotrophic respiration (Rh) maps. A machine learning approach was used to derive the predicted Rs and uncertainty data using a quantile regression forest (QRF) algorithm trained with observations from the global Soil Respiration Database (SRDB) version 3 spanning from 1961 to 2011. The two Rh maps were derived from the predicted Rs with two different empirical equations. These products were produced to support carbon cycle research at local- to global-scales, and highlight the immense spatial variability of soil respiration and our ability to predict it across the globe.

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated August 10, 2026, 23:38 (UTC)
Created April 1, 2025, 16:01 (UTC)
accessLevel public
bureauCode {026:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
harvest_object_id 30e3c6a6-577c-4f67-8aac-b96dbe9a8cb8
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/1736
license https://www.usa.gov/government-works
modified 2026-08-03T22:16:03Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash 97edd21b72e013e68b9bb9fc886e028de3e2bff7180343bb911cf5462cdaa848
source_schema_version 1.1
spatial ["CARTESIAN", [{"WestBoundingCoordinate": -180.0, "NorthBoundingCoordinate": 90.0, "EastBoundingCoordinate": 180.0, "SouthBoundingCoordinate": -90.0}]]
temporal 1963-01-01/2011-12-31
theme {"Earth Science"}