1,781,403 research outputs found
Yuvi-416/3D_Visualizer: IMAGE-IN: Interactive Web-based Multidimensional 3D Visualizer for Multi-Modal Microscopy Images
No full textHere we present IMAGE-IN, an interactive web-based multidimensional (N-D) viewer designed specifically for confocal laser scanning microscopy (CLSM) and focused ion beam scanning electron microscopy (FIB-SEM) data, with the goal of assisting biologists in their visualization and analysis tasks and promoting digital workflows. This new visualization platform includes intuitive multidimensional opacity fine-tuning, shading on/off, multiple blending modes for volume viewers, and the ability to handle multichannel volumetric data in volume and surface views. The software accepts a sequence of image files or stacked 3D images as input and offers a variety of viewing options ranging from 3D volume/surface rendering to multiplanar reconstruction approaches.
Contributors
@Yuvi-416 made their first contribution in https://github.com/Yuvi-416/3D_Visualizer/pull/1
Full Changelog: https://github.com/Yuvi-416/3D_Visualizer/commits/v1.0.
birds-416-loci-mrbayes.gz
No full textNexus formatted, concatenated alignment of 416 UCE loci enriched from birds
birds-416-loci-raxml.phylip.gz
No full textPhylip formatted, concatenated alignment of 416 UCE loci enriched from birds
birds-416-loci-alignments.tar.gz
No full textNexus formatted, complete (all taxa have data at all loci) alignments of 416 UCE loci enriched from birds
birds-416-loci-cloudforest-output.tar.gz
No full textGenetrees and boostrap replicates generated from 416 loci using Cloudforest
Bulletin No. 416 - Precipitation Probabilities in Wyoming
No full textBulletin No. 416 - Precipitation Probabilities in Wyomin
Resolución Rectoral N° 88/2021. Modificar el anexo I de la Resolución Nº 416/2020.
No full textFil: Rector (R). Universidad Nacional de Río Negro. Río Negro, ArgentinaResolución Rectoral N° 88/2021. Modificar el anexo I de la Resolución Nº 416/2020.tru
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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