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Genomic diversity of major tree species in the Eurasian relict forests of northern IranNARA Subscribed
We investigated population genetics of the native tree species Acer velutinum Boiss., Fagus orientalis Lipsky, and Quercus castaneifolia C.A. Mey. in the Hyrcanian forests of northern Iran and also F. orientalis populations in the Euro-Siberian and Colchic subregions of northern Türkiye. We used the double-digest RADseq method and genotyped 90 populations and 1,589 individuals across the distribution range of the species. Geno...
Deep Learning for Perfusion Cerebral Blood Flow (CBF) and Volume (CBV) Predictions and DiagnosticsNARA Subscribed
Dynamic susceptibility contrast magnetic resonance perfusion (DSC-MRP) is a non-invasive imaging technique for hemodynamic measurements. Various perfusion parameters, such as cerebral blood volume (CBV) and cerebral blood flow (CBF), can be derived from DSC-MRP, hence this non-invasive imaging protocol is widely used clinically for the diagnosis and assessment of intracranial pathologies. Currently, most institutions use comme...
Expert range maps of global mammal distributions harmonised to three taxonomic authoritiesNARA Subscribed
Aim Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal spec...
Towards Geostatistical Learning for the Geosciences: A Case Study in Improving the Spatial Awareness of Spectral ClusteringNARA Subscribed
The particularities of geosystems and geoscience data must be understood before any development or implementation of statistical learning algorithms. Without such knowledge, the predictions and inferences may not be accurate and physically consistent. Accuracy, transparency and interpretability, credibility, and physical realism are minimum criteria for statistical learning algorithms when applied to the geosciences. This stud...
Transformational restoration: novel ecosystems in DenmarkNARA Subscribed
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