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4,931 to 4,940 of 7,280 Results
individual_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 - 2.4 KB - MD5: 5aa9d49d2b4ee10b596e29e32aa9abe8
individual_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 - 2.4 KB - MD5: df54d0ceaec356eed2114b5b17fc0c77
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 calcula...
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
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