1,561 to 1,570 of 4,178 Results
May 10, 2023 -
Greenland Ice Velocity from Sentinel-1 Edition 3
PNG Image - 3.5 MB -
MD5: ee496b0cf5269b4c1cef5956dc4da4a5
|
May 10, 2023 -
Greenland Ice Velocity from Sentinel-1 Edition 3
Network Common Data Form - 125.6 MB -
MD5: ef87a5721cc4071f01cecad1033dca7f
|
May 10, 2023 -
Greenland Ice Velocity from Sentinel-1 Edition 3
PNG Image - 3.4 MB -
MD5: fb4c84fa4903081315ca401829527100
|
May 10, 2023 -
Greenland Ice Velocity from Sentinel-1 Edition 3
Network Common Data Form - 132.8 MB -
MD5: eb73aa3168b5ea4b1b031eb4fd1b102e
|
May 10, 2023 -
Greenland Ice Velocity from Sentinel-1 Edition 3
PNG Image - 3.5 MB -
MD5: 8fca35a5f19e9342c3e4e9e842e47992
|
May 1, 2023 - Deprecated automatic weather station data
Penelope How; Kenneth D. Mankoff; Patrick J. Wright; Baptiste Vandecrux; Andreas P. Ahlstrøm; Robert S. Fausto, 2022, "AWS two boom mast Edition 1", https://doi.org/10.22008/FK2/GNYFUK, GEUS Dataverse, V6
GC-NET automated weather station (AWS) data v01 from the Greenland Ice Sheet. Data are collected from the two-boom mast design located in the accumulation area, with variables as listed in the AWS_variables.csv file provided. See pypromice for how we process the data product. See... |
May 1, 2023 -
AWS two boom mast Edition 1
Plain Text - 1.0 KB -
MD5: 72c54cffca47d568ac7e7627be932a8e
Uploaded with pyDataverse 2023-05-01 00:26 |
May 1, 2023 -
AWS two boom mast Edition 1
Comma Separated Values - 2.9 KB -
MD5: 706490722f390e068699eebd9e76d797
Uploaded with pyDataverse 2023-05-01 00:26 |
May 1, 2023 -
AWS two boom mast Edition 1
Adobe PDF - 275.5 KB -
MD5: a494d85695ecc70368317cec90e3372f
Uploaded with pyDataverse 2023-05-01 00:26 |
May 1, 2023 -
AWS two boom mast Edition 1
Comma Separated Values - 13.2 KB -
MD5: ec234183be802ee6fd38b6ac28c7f794
Uploaded with pyDataverse 2023-05-01 00:26 |