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

5,081 to 5,090 of 7,428 Results
load_grand_average_data1_AdjN.m
Oct 26, 2021 - Data for ‘Neural and behavioral effects of typicality, denotation and composition in an adjective-noun combination task’
MATLAB Source Code - 12.0 KB - MD5: 35e8601b33126c1364509868672349ea
load_grand_average_data1_N.m
Oct 26, 2021 - Data for ‘Neural and behavioral effects of typicality, denotation and composition in an adjective-noun combination task’
MATLAB Source Code - 12.0 KB - MD5: 31240041309e5f0d15f4168df3a4b5aa
load_grand_average_data2_AdjN.m
Oct 26, 2021 - Data for ‘Neural and behavioral effects of typicality, denotation and composition in an adjective-noun combination task’
MATLAB Source Code - 13.8 KB - MD5: 7cabeaaae9c2112f4f967b5f8ab27d48
load_grand_average_data2_N.m
Oct 26, 2021 - Data for ‘Neural and behavioral effects of typicality, denotation and composition in an adjective-noun combination task’
MATLAB Source Code - 13.8 KB - MD5: f94c51d2955c43605fc13891c7ce0281
preprocess_settings_AdjN.m
Oct 26, 2021 - Data for ‘Neural and behavioral effects of typicality, denotation and composition in an adjective-noun combination task’
MATLAB Source Code - 3.6 KB - MD5: 2e9f6121b563ed6f74db98955f2137d8
preprocess_settings_N.m
Oct 26, 2021 - Data for ‘Neural and behavioral effects of typicality, denotation and composition in an adjective-noun combination task’
MATLAB Source Code - 3.6 KB - MD5: 348534e6a38a19b9b082ce4b1e43697f
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...
00_ReadMe.txt
Oct 20, 2021 - Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard
Plain Text - 3.0 KB - MD5: 0d49b71b438d164c8b0bf03d0368b61f
01_z0 estimates PNG.zip
Oct 20, 2021 - Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard
ZIP Archive - 3.2 MB - MD5: 503c89370f1ac270b84b99c0011c7585
02_z0 estimates mat.zip
Oct 20, 2021 - Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard
ZIP Archive - 498.6 KB - MD5: 099be74fa7dadad20fa8ea9cad0b36f0
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.