Metrics
1,818,397 Downloads
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.

Advanced Search

3,541 to 3,550 of 13,196 Results
Mar 6, 2024 - University of Inland Norway
Schrijvers-Gonlag, Marcel, 2024, "Replication Data for: Phenolic concentrations and carbon/nitrogen ratio in annual shoots of bilberry (Vaccinium myrtillus) after simulated herbivory.", https://doi.org/10.18710/U8S3XX, DataverseNO, V2
This dataset contains data about annual shoots of bilberry (Vaccinium myrtillus): phenolic, carbon and nitrogen concentrations after simulated herbivory. This data was analysed and the results were published (see Related publication). Here follows the abstract of the publication: Herbivory can be reduced by the production of defense compounds (seco...
Plain Text - 11.5 KB - MD5: 8f1eea43889d1e108e12ceed0d36f8e4
Information about the other 11 files in this folder.
Mar 5, 2024 - Norwegian Institute of Bioeconomy Research (NIBIO)
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 woodland as a test case, having repeated TanDEM-X elevation data for this...
TIFF Image - 309.0 MB - MD5: d153a93686c45fda75c5ed4c11e9045e
Ellipsoidal elevation 2020 based on TanDEM-X processing
TIFF Image - 309.0 MB - MD5: 182eb2224223164415f62b76484b8a29
TanDEM-X height change 2012-2020
dBASE Table for ESRI Shapefile - 642.3 KB - MD5: fb3e64c14ea296c9d63285da0a59c0bf
ESRI Shapefile - 408 B - MD5: d5ee89457a1f1302c91b057e5cb218c6
Shape - 1.5 MB - MD5: 4f5d4564ec24a1d7ad5f46bf6903f81d
The GEDI footprints used in the study, with the variables 'fid' = identifier of footprint; 'elev_lowes' = terrain height; 'agbd_se' = SE of AGB coming with the GEDI data; 'agbd' = AGB; 'dh_mean' = mean value of TanDEM-X height change; 'dem20_mean' = mean illopsoid elevation; 'dem12_mean' mean tanDEM-X elevation, 'geometry'= georeferencing.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.