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Publication Year: 2024

3,261 to 3,270 of 12,889 Results

Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest 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...
00_README_Solberg_et_al_2024_Tanzania.txt Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest Plain Text - 3.0 KB - MD5: 97d5ef112354356c8abf9d7434490d7f
DEM_2020.tif Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest TIFF Image - 309.0 MB - MD5: d153a93686c45fda75c5ed4c11e9045e Ellipsoidal elevation 2020 based on TanDEM-X processing
dH.tif Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest TIFF Image - 309.0 MB - MD5: 182eb2224223164415f62b76484b8a29 TanDEM-X height change 2012-2020
GEDI.cpg Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest Unknown - 10 B - MD5: 0e4bb4efc30ec129e5003a18ea2103cf
GEDI.dbf Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest dBASE Table for ESRI Shapefile - 642.3 KB - MD5: fb3e64c14ea296c9d63285da0a59c0bf
GEDI.prj Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest ESRI Shapefile - 408 B - MD5: d5ee89457a1f1302c91b057e5cb218c6
GEDI.shp Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest 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.
GEDI.shx Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest Shape - 30.5 KB - MD5: 390f73cf1ea0fd22d9333986de35d09b
Replication Data for: "Time-resolved concentrations of serum amino acids, one-carbon metabolites and B-vitamin biomarkers during the postprandial and fasting state: the Postprandial Metabolism in Healthy Young Adults (PoMet) Study" Mar 5, 2024 - University of Bergen Anfinsen, Åslaug Matre; Lysne, Vegard; Nygård, Ottar; Dierkes, Jutta; Rosendahl-Riise, Hanne; McCann, Adrian, 2024, "Replication Data for: "Time-resolved concentrations of serum amino acids, one-carbon metabolites and B-vitamin biomarkers during the postprandial and fasting state: the Postprandial Metabolism in Healthy Young Adults (PoMet) Study"", https://doi.org/10.18710/5ZJ4TY, DataverseNO, V1 This dataset contains the individual metabolite data from the participants in the Postprandial Metabolism (PoMet) study. In this study, using GC-MS/MS and LC-MS/MS, we quantified nutritional-related biomarker and metabolite concentrations in healthy males and females at 13 timepoints after the ingestion of a standardized breakfast meal to investiga...

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

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...

00_README_Solberg_et_al_2024_Tanzania.txt

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Plain Text - 3.0 KB -

DEM_2020.tif

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

TIFF Image - 309.0 MB -

Ellipsoidal elevation 2020 based on TanDEM-X processing

dH.tif

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

TIFF Image - 309.0 MB -

TanDEM-X height change 2012-2020

GEDI.cpg

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Unknown - 10 B -

GEDI.dbf

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

dBASE Table for ESRI Shapefile - 642.3 KB -

GEDI.prj

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

ESRI Shapefile - 408 B -

GEDI.shp

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Shape - 1.5 MB -

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.

GEDI.shx

Mar 5, 2024 - Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

Shape - 30.5 KB -

Replication Data for: "Time-resolved concentrations of serum amino acids, one-carbon metabolites and B-vitamin biomarkers during the postprandial and fasting state: the Postprandial Metabolism in Healthy Young Adults (PoMet) Study"

Mar 5, 2024 - University of Bergen

Anfinsen, Åslaug Matre; Lysne, Vegard; Nygård, Ottar; Dierkes, Jutta; Rosendahl-Riise, Hanne; McCann, Adrian, 2024, "Replication Data for: "Time-resolved concentrations of serum amino acids, one-carbon metabolites and B-vitamin biomarkers during the postprandial and fasting state: the Postprandial Metabolism in Healthy Young Adults (PoMet) Study"", https://doi.org/10.18710/5ZJ4TY, DataverseNO, V1

This dataset contains the individual metabolite data from the participants in the Postprandial Metabolism (PoMet) study. In this study, using GC-MS/MS and LC-MS/MS, we quantified nutritional-related biomarker and metabolite concentrations in healthy males and females at 13 timepoints after the ingestion of a standardized breakfast meal to investiga...

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