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11,141 to 11,150 of 11,150 Results

Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling Sep 24, 2025 de Aguiar, Victor; Moiseev, Artem; Johansson, Malin; Röhrs, Johannes; Johnsen, Harald; Eltoft, Torbjørn, 2025, "Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling", https://doi.org/10.18710/RK1XKY, DataverseNO, V1 This folder contains ocean radial velocity data set for 251 scenes acquired with Sentinel-1A over Skagerrak, Kattegat, and the North Sea between January and July 2023 (skagerrak_ensemble_pt3.zip). Associated collocated wind and wave fields and auxiliary information are also avail...
00_README.txt 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
open_plot.ipynb 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.
open_plot_pdf.pdf 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.
skagerrak_ensemble_pt3.zip 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.
Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study Oct 8, 2025 Sæle, Rannveig Grøm; Dahl, Tove Irene; Sørlie, Tore; Friborg, Oddgeir, 2025, "Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study", https://doi.org/10.18710/A2GYEC, DataverseNO, V1 The data are from a longitudinal study, investigating predictors for dropout from higher education. Self-reported data were collected in autumn 2013 on first year students at UiT. This includes procrastination, learning approaches, stress, learning problems, questions about previ...
00_README.txt Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study Plain Text - 8.1 KB - MD5: 0809d4ace6d44efc717ceddd207e8b06 Readme file for Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study.
consent_form.pdf Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study Adobe PDF - 90.4 KB - MD5: 7a2c04e800f7133b42e287e3d7698ed7 Consent form for participants
Data_Privacy_Assessment_Saele_2025_A2GYEC.pdf Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study Adobe PDF - 429.7 KB - MD5: ba95ae3b4e4bbcef3c630429c8ce17f1 This is a brief assessment of whether the open publication of the dataset “Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study” in DataverseNO is aligned with applicable legal and r...
predictors_dropout.csv Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study Comma Separated Values - 24.6 KB - MD5: 1d681db54eb5658dfeef53fe11fc1044 Dataset

Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling

Sep 24, 2025

de Aguiar, Victor; Moiseev, Artem; Johansson, Malin; Röhrs, Johannes; Johnsen, Harald; Eltoft, Torbjørn, 2025, "Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling", https://doi.org/10.18710/RK1XKY, DataverseNO, V1

This folder contains ocean radial velocity data set for 251 scenes acquired with Sentinel-1A over Skagerrak, Kattegat, and the North Sea between January and July 2023 (skagerrak_ensemble_pt3.zip). Associated collocated wind and wave fields and auxiliary information are also avail...

00_README.txt

Sep 24, 2025 - Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling

Plain Text - 6.3 KB -

open_plot.ipynb

Sep 24, 2025 - Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling

Jupyter Notebook - 561.3 KB -

Jupyter notebook for opening and plotting the data.

open_plot_pdf.pdf

Sep 24, 2025 - Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling

Adobe PDF - 1.5 MB -

Jupyter notebook for opening and plotting the data set, in .pdf format.

skagerrak_ensemble_pt3.zip

Sep 24, 2025 - Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling

ZIP Archive - 7.1 GB -

.zip file containing Doppler Centroid Anomaly, RVL, satellite information and collocated fields (wind and waves) for each scene.

Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study

Oct 8, 2025

Sæle, Rannveig Grøm; Dahl, Tove Irene; Sørlie, Tore; Friborg, Oddgeir, 2025, "Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study", https://doi.org/10.18710/A2GYEC, DataverseNO, V1

The data are from a longitudinal study, investigating predictors for dropout from higher education. Self-reported data were collected in autumn 2013 on first year students at UiT. This includes procrastination, learning approaches, stress, learning problems, questions about previ...

00_README.txt

Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study

Plain Text - 8.1 KB -

Readme file for Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study.

consent_form.pdf

Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study

Adobe PDF - 90.4 KB -

Consent form for participants

Data_Privacy_Assessment_Saele_2025_A2GYEC.pdf

Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study

Adobe PDF - 429.7 KB -

This is a brief assessment of whether the open publication of the dataset “Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study” in DataverseNO is aligned with applicable legal and r...

predictors_dropout.csv

Oct 8, 2025 - Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study

Comma Separated Values - 24.6 KB -

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