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2,971 to 2,980 of 13,176 Results
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 17, 2021 - NTNU – Norwegian University of Science and Technology
Nielsen, Jonas B.; Willer, Cristen J., 2021, "Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology"", https://doi.org/10.18710/VC2PSH, DataverseNO, V1
To identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of >1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111 loci and prioritized 151 functional candidate genes likely to be invo...
Jun 16, 2021 - Nord University
Dalland, Eva Brustad, 2021, "Hest i trafikk", https://doi.org/10.18710/44VR8K, DataverseNO, V2
Dette datasettet inneholder resultater fra en spørreundersøkelse utført blant 2757 hestebrukere i Norge og tar for seg spørsmål knyttet til samspillet mellom hest, hestebruker og moderne veitrafikk. Datamaterialet er ferdig prosessert og presenteres i form av grafiske fremstillinger basert på svarene på spørreskjemaet. Datasettet inngår i datamater...
Jun 16, 2021 - Hest i trafikk
Plain Text - 3.9 KB - MD5: ad61ef8e7e44962f778c7653bf58ca95
Jun 16, 2021 - UiT The Arctic University of Norway
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 to quantify using data from singular cases. We present causalizeR (http...
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