3,631 to 3,640 of 10,648 Results
May 17, 2021 -
Manually annotated 3-digit occupation code training set from the Norwegian 1950 census
Unknown - 340.0 KB -
MD5: c530ad57a2b9cbf094c2d5da083f944d
Validation set x |
May 17, 2021 -
Manually annotated 3-digit occupation code training set from the Norwegian 1950 census
Unknown - 35.3 KB -
MD5: 1b404a3e100ebc083e3b8292e5090031
Validation set y |
Mar 31, 2023 -
Replication Data for: Dataset of motivational factors for using mobile health applications and systems
Plain Text - 23.1 KB -
MD5: d29a0fa833e1d0878531dd44fccd154a
|
Mar 31, 2023 -
Replication Data for: Dataset of motivational factors for using mobile health applications and systems
Comma Separated Values - 26.1 KB -
MD5: d2413d54d36192d98442c49e22bdd9f0
Describes which answer options are available for each question |
Mar 31, 2023 -
Replication Data for: Dataset of motivational factors for using mobile health applications and systems
Adobe PDF - 142.7 KB -
MD5: bdc00c7afcaca72a27f9e4be30b87114
|
Mar 31, 2023 -
Replication Data for: Dataset of motivational factors for using mobile health applications and systems
Comma Separated Values - 281.0 KB -
MD5: c3b1ace55b8d7348abe8c22d7b8b6039
Questionnaire responses |
Sep 24, 2025 -
Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling
Plain Text - 6.3 KB -
MD5: 5a239403648a96fa6bc70aab57935aa8
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Sep 24, 2025 -
Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling
Jupyter Notebook - 561.3 KB -
MD5: 4b55e466ed0e0c741ae54e8e5fa0cfe2
Jupyter notebook for opening and plotting the data. |
Sep 24, 2025 -
Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling
Adobe PDF - 1.5 MB -
MD5: e6073b36fd34215933af700050e4adf8
Jupyter notebook for opening and plotting the data set, in .pdf format. |
Sep 24, 2025 -
Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling
ZIP Archive - 7.1 GB -
MD5: 28e5ddfa2327fcef56c4d752819c59b9
.zip file containing Doppler Centroid Anomaly, RVL, satellite information and collocated fields (wind and waves) for each scene. |
