Norwegian Institute of Bioeconomy Research (NIBIO)

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 4 of 4 Results

Replication Data for Raw data for the publication: Impact of drain spacing on subsurface drainage and greenhouse gas fluxes in a grassland on a sandy silt soil in western Norway. Aug 20, 2025 Rivedal, Synnøve; Hansen, Sissel, 2025, "Replication Data for Raw data for the publication: Impact of drain spacing on subsurface drainage and greenhouse gas fluxes in a grassland on a sandy silt soil in western Norway.", https://doi.org/10.18710/NLUNZZ, DataverseNO, V1 We established drainage systems with 6 and 12 m drain spacing in a previously undrained sandy silt under grass. Subsurface drainage was larger (1415 versus 520 mm) and ground water table (GWT) was lower (102 versus 79 cm) with 6 than with 12 m drain spacing. Water filled pore spa...
Maps of soil organic carbon stocks in Norwegian forests May 2, 2025 Hagenbo, Andreas, 2025, "Maps of soil organic carbon stocks in Norwegian forests", https://doi.org/10.18710/CL5RSP, DataverseNO, V1 Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil organic carbon stock for three soil depth intervals: (1) soil surface down to 100 cm depth, (2) forest...
Replication Data for article "An experimental assessment of biomass loss due to red deer grazing on agricultural grass meadows in Norway." Mar 14, 2025 Even Unsgård, 2025, "Replication Data for article "An experimental assessment of biomass loss due to red deer grazing on agricultural grass meadows in Norway."", https://doi.org/10.18710/G32ROK, DataverseNO, V1 R script and data for analyses in relation to the article "An experimental assessment of biomass loss due to red deer grazing on agricultural grass meadows in Norway"
Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest Mar 5, 2024 Solberg, Svein, 2024, "Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest", https://doi.org/10.18710/UZOUB0, DataverseNO, V1 Mapping and quantification of forest biomass change are key for forest management and for forests’ contribution to the global carbon budget. We explored the potential of covering this with repeated acquisitions with TanDEM-X. We used an eight-year period in a Tanzanian miombo woo...

Replication Data for Raw data for the publication: Impact of drain spacing on subsurface drainage and greenhouse gas fluxes in a grassland on a sandy silt soil in western Norway.

Aug 20, 2025

Rivedal, Synnøve; Hansen, Sissel, 2025, "Replication Data for Raw data for the publication: Impact of drain spacing on subsurface drainage and greenhouse gas fluxes in a grassland on a sandy silt soil in western Norway.", https://doi.org/10.18710/NLUNZZ, DataverseNO, V1

We established drainage systems with 6 and 12 m drain spacing in a previously undrained sandy silt under grass. Subsurface drainage was larger (1415 versus 520 mm) and ground water table (GWT) was lower (102 versus 79 cm) with 6 than with 12 m drain spacing. Water filled pore spa...

Maps of soil organic carbon stocks in Norwegian forests

May 2, 2025

Hagenbo, Andreas, 2025, "Maps of soil organic carbon stocks in Norwegian forests", https://doi.org/10.18710/CL5RSP, DataverseNO, V1

Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil organic carbon stock for three soil depth intervals: (1) soil surface down to 100 cm depth, (2) forest...

Replication Data for article "An experimental assessment of biomass loss due to red deer grazing on agricultural grass meadows in Norway."

Mar 14, 2025

Even Unsgård, 2025, "Replication Data for article "An experimental assessment of biomass loss due to red deer grazing on agricultural grass meadows in Norway."", https://doi.org/10.18710/G32ROK, DataverseNO, V1

R script and data for analyses in relation to the article "An experimental assessment of biomass loss due to red deer grazing on agricultural grass meadows in Norway"

Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Mar 5, 2024

Solberg, Svein, 2024, "Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest", https://doi.org/10.18710/UZOUB0, DataverseNO, V1

Mapping and quantification of forest biomass change are key for forest management and for forests’ contribution to the global carbon budget. We explored the potential of covering this with repeated acquisitions with TanDEM-X. We used an eight-year period in a Tanzanian miombo woo...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications