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3DMSL - 3D Mitochondria Shape Library for Optical Microscopy 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. Article abstract: With more deep learning solutions being developed for fl...
00_ReadMe.txt Oct 17, 2025 - 3DMSL - 3D Mitochondria Shape Library for Optical Microscopy Plain Text - 13.8 KB - MD5: c21908770d32fa2334f6920eb06a3b91 ReadMe file describing the dataset.
Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling 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 available in the data dictionaries. The user can find examples in the open_...
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 article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard" 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 characterisation of fungal decay processes and patterns in an extreme...
00.README.txt Sep 4, 2025 - Replication data for article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard" Plain Text - 6.7 KB - MD5: 3e865b2755a3516517cf271bf0f99788
Decay_Pylons_Svalbard_1.txt Sep 4, 2025 - Replication data for article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard" Plain Text - 179.0 KB - MD5: 2d85af3856dee46265c1e27f5867c7b7

3DMSL - 3D Mitochondria Shape Library for Optical Microscopy

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. Article abstract: With more deep learning solutions being developed for fl...

00_ReadMe.txt

Oct 17, 2025 - 3DMSL - 3D Mitochondria Shape Library for Optical Microscopy

Plain Text - 13.8 KB -

ReadMe file describing the dataset.

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

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 available in the data dictionaries. The user can find examples in the open_...

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 article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard"

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 characterisation of fungal decay processes and patterns in an extreme...

00.README.txt

Sep 4, 2025 - Replication data for article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard"

Plain Text - 6.7 KB -

Decay_Pylons_Svalbard_1.txt

Sep 4, 2025 - Replication data for article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard"

Plain Text - 179.0 KB -

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