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2,931 to 2,940 of 8,622 Results

Aqueous glucose measured by NIR spectroscopy Aug 17, 2022 Fuglerud, Silje Skeide, 2021, "Aqueous glucose measured by NIR spectroscopy", https://doi.org/10.18710/NSHFAK, DataverseNO, V2 Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to inte...
00_Readme.txt Aug 17, 2022 - Aqueous glucose measured by NIR spectroscopy Plain Text - 3.1 KB - MD5: 202f7cc7c9a528d65a75aceaa6222790
CalibrationData.txt Feb 11, 2021 - Aqueous glucose measured by NIR spectroscopy Plain Text - 46.3 MB - MD5: 179a38b8ba0a6183d3208513fd818ab0 Data for calibration.
ValidationData.txt Feb 11, 2021 - Aqueous glucose measured by NIR spectroscopy Plain Text - 17.5 MB - MD5: d5999afb2f73567da4190b7b7ffea29f Data for validation, samples were mixed separately and acquired on a separate day.
Drone-based mapping of the Lagoon Pingo in Svalbard Mar 12, 2021 Hann, Richard, 2021, "Drone-based mapping of the Lagoon Pingo in Svalbard", https://doi.org/10.18710/IMPEG8, DataverseNO, V1 This database contains a digital elevation model (DEM) and an orthomosaic map of the Lagoon Pingo in Svalbard. The DEM and orthomosaic were built from drone-based images and a structure from motion (SfM) method with Agisoft Metashape. The Lagoon Pingo is a coastal open-system pingo with year-round methane release located in the High Arctic fjord-va...
00_ReadMe.txt Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard Plain Text - 2.9 KB - MD5: 0b31dd702cabd4793ab105772cbdad07
01_Lagoon Pingo_2020_DEM.tif Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard TIFF Image - 18.4 MB - MD5: 030a199d4eb9073aa21f5198db5a1692
02_Lagoon Pingo_2020_Orthomosaic.tif Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard TIFF Image - 198.1 MB - MD5: 4ede481f3c777ea993f57e60b0dde172
03_Lagoon Pingo_2020_Process report.pdf Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard Adobe PDF - 927.0 KB - MD5: 7cbf3ec1c39a55211402ad7ca70c8196
Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard Oct 20, 2021 Hann, Richard, 2021, "Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard", https://doi.org/10.18710/JMWF3E, DataverseNO, V1 This dataset contains of aerodynamic roughness length (z0) estimations of four glaciers in Svalbard. The data was generated in the scope of a project between NTNU, UNIS, and ETH Zürich. The aerodynamic roughness length z0 is an important parameter in the bulk approach for calculating turbulent fluxes and their contribution to ice melt. However ,z0...

Aqueous glucose measured by NIR spectroscopy

Aug 17, 2022

Fuglerud, Silje Skeide, 2021, "Aqueous glucose measured by NIR spectroscopy", https://doi.org/10.18710/NSHFAK, DataverseNO, V2

Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to inte...

00_Readme.txt

Aug 17, 2022 - Aqueous glucose measured by NIR spectroscopy

Plain Text - 3.1 KB -

CalibrationData.txt

Feb 11, 2021 - Aqueous glucose measured by NIR spectroscopy

Plain Text - 46.3 MB -

Data for calibration.

ValidationData.txt

Feb 11, 2021 - Aqueous glucose measured by NIR spectroscopy

Plain Text - 17.5 MB -

Data for validation, samples were mixed separately and acquired on a separate day.

Drone-based mapping of the Lagoon Pingo in Svalbard

Mar 12, 2021

Hann, Richard, 2021, "Drone-based mapping of the Lagoon Pingo in Svalbard", https://doi.org/10.18710/IMPEG8, DataverseNO, V1

This database contains a digital elevation model (DEM) and an orthomosaic map of the Lagoon Pingo in Svalbard. The DEM and orthomosaic were built from drone-based images and a structure from motion (SfM) method with Agisoft Metashape. The Lagoon Pingo is a coastal open-system pingo with year-round methane release located in the High Arctic fjord-va...

00_ReadMe.txt

Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard

Plain Text - 2.9 KB -

01_Lagoon Pingo_2020_DEM.tif

Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard

TIFF Image - 18.4 MB -

02_Lagoon Pingo_2020_Orthomosaic.tif

Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard

TIFF Image - 198.1 MB -

03_Lagoon Pingo_2020_Process report.pdf

Mar 12, 2021 - Drone-based mapping of the Lagoon Pingo in Svalbard

Adobe PDF - 927.0 KB -

Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard

Oct 20, 2021

Hann, Richard, 2021, "Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard", https://doi.org/10.18710/JMWF3E, DataverseNO, V1

This dataset contains of aerodynamic roughness length (z0) estimations of four glaciers in Svalbard. The data was generated in the scope of a project between NTNU, UNIS, and ETH Zürich. The aerodynamic roughness length z0 is an important parameter in the bulk approach for calculating turbulent fluxes and their contribution to ice melt. However ,z0...

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