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5,911 to 5,920 of 11,140 Results
Jun 18, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Documentation of the Spawning behavior of Arctic charr video collection", https://doi.org/10.18710/VIQB0B, DataverseNO, V2, UNF:6:b0UAqmMUXWo+3mZEmRyxlg== [fileUNF]
This documentation dataset is a description of the Spawning behavior of Arctic charr (Salvelinus alpinus) video recordings collection from Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. Together, the video files in this collection form a continuous video clip, re...
Tabular Data - 112.0 KB - 10 Variables, 530 Observations - UNF:6:1nl17h+Y4tgyOOGTe3od5A==
Plain Text - 99.4 KB - MD5: aa23a3b1f79a66713365544545e8a40d
Jun 17, 2021
Kuttner, Samuel, 2021, "Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer", https://doi.org/10.18710/2JTIOT, DataverseNO, V1, UNF:6:+a2bcUvGwsGCB+YdLJ4vnA== [fileUNF]
These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were e...
Adobe PDF - 698.2 KB - MD5: 96caab3d076197abf1d4fed7b59ed726
Documentation and definition of the radiomic features.
Tabular Data - 260.6 KB - 835 Variables, 17 Observations - UNF:6:u9k7N4c1a+65aj/6gwoGig==
Radiomic features extracted from PET_100% (free breathing) reconstructions.
Tabular Data - 262.2 KB - 835 Variables, 17 Observations - UNF:6:+1gjRyeC/mcncqr5KAevXw==
Radiomic features extracted from PET_40% (end-expiration) reconstructions.
Tabular Data - 259.6 KB - 835 Variables, 17 Observations - UNF:6:wtnx+YUrK05SvewzUcq8MA==
Radiomic features extracted from PET_MoCo (MRI-based motion corrected) reconstructions.
Jun 16, 2021
Ancin-Murguzur, Francisco Javier; Hausner, Vera Helene, 2021, "Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature", https://doi.org/10.18710/PTQ8X7, DataverseNO, V1
Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult t...
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