21 to 30 of 16,999 Results
Dec 19, 2025 - UiT The Arctic University of Norway
Shvetsov, Nikita, 2025, "Replication refined dataset for: A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images", https://doi.org/10.18710/PUJOU2, DataverseNO, V1
The refined PanNuke and MoNuSAC Cell Segmentation and Classification Dataset is a unified collection of H&E-stained image patches with cell instance annotations and seven cell-type labels. It is created by combining the PanNuke and MoNuSAC datasets while improving label granularity and consistency across both sources. The dataset is generated using... |
Plain Text - 6.3 KB -
MD5: 756d36d0473002b24b5a87e2be899857
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ZIP Archive - 1.2 GB -
MD5: 7c665f83c6451859f1f52a8e29df9fdd
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ZIP Archive - 46.2 MB -
MD5: d3735d094fb1e4e56cc60ff3d011a192
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Dec 18, 2025 -
3D scan data of the Dagsgardsloftet log house at Maihaugen Museum in Lillehammer, Norway
Plain Text - 5.5 KB -
MD5: 8d44f400605f32b4ac092f1ed8a8ab06
Dataset documentation |
Dec 18, 2025 -
3D scan data of the Dagsgardsloftet log house at Maihaugen Museum in Lillehammer, Norway
Unknown - 5.5 KB -
MD5: 0b8710bb51d42553fadca2e353efab73
Total station observations of benchmarks |
Dec 18, 2025 -
3D scan data of the Dagsgardsloftet log house at Maihaugen Museum in Lillehammer, Norway
Unknown - 3.8 KB -
MD5: c00946c01509f61fa71989d5024f6e23
Total station observations of targets |
Dec 18, 2025 - Norwegian Institute of Bioeconomy Research (NIBIO)
Steffenrem, Arne, 2025, "Replication data for «Genomic relationship-based selection of unrelated individuals»", https://doi.org/10.18710/NDORFA, DataverseNO, V1
This is the Norway spruce dataset used in our study to demonstrate a novel formulation to select an optimal subset of individuals under a strict maximum tolerable pairwise genomic relationship threshold. We construct a binary matrix of ’related’ and ’unrelated’ pairs based on this threshold. This reformulation transforms the problem from a complex... |
Plain Text - 3.6 KB -
MD5: 3acd2aced098539418043724a7dbaaa1
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Comma Separated Values - 59.5 KB -
MD5: b562abdaf5b2b1375de04ac66ef3144d
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