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Oct 17, 2025 - UiT The Arctic University of Norway
Punnakkal, Abhinanda Ranjit; Jadhav, Suyog S; Celeste, Aaron Vaughn; Horsch, Alexander; Agarwal, Krishna; Prasad, Dilip K, 2024, "3DMSL - 3D Mitochondria Shape Library for Optical Microscopy", https://doi.org/10.18710/JX6JXF, DataverseNO, V2
Dataset description: This dataset contains individual 3D mitochondria extracted from 3D electron microscopy images in different 3D shape representation formats of meshes, point clouds and implicit shapes. The dataset also includes synthetic microscope images of these shapes.
Plain Text - 13.8 KB - MD5: c21908770d32fa2334f6920eb06a3b91
ReadMe file describing the dataset.
Sep 24, 2025 - UiT The Arctic University of Norway
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...
Jupyter Notebook - 561.3 KB - MD5: 4b55e466ed0e0c741ae54e8e5fa0cfe2
Jupyter notebook for opening and plotting the data.
Adobe PDF - 1.5 MB - MD5: e6073b36fd34215933af700050e4adf8
Jupyter notebook for opening and plotting the data set, in .pdf format.
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.
Sep 4, 2025 - Norwegian Institute of Bioeconomy Research (NIBIO)
Alfredsen, Gry; Altgen, Michael; Austigard, Mari S.; Mattsson, Johan; Nunez, Maria; Ross, Lone; Tunstad, Sverre S.; Treu, Andreas; Yakovlev, Igor A.; Pedersen, Nanna B., 2025, "Replication data for article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard"", https://doi.org/10.18710/AF5OLA, DataverseNO, V1
This study employs a novel combination of methods (DNA metabarcoding, light microscopy, two methods for decay rating, moisture dynamics, and chemical analysis) to characterise wood decay in cultural heritage cable car pylons in Svalbard, offering an interdisciplinary approach for...
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