3 Matching Results

Results open in a new window/tab.

West Nile Virus risk and susceptibility in central California modeling dataset

The dataset was developed to support research intended to develop a spatially explicit model that explores environmental data related to the risk of exposure to West Nile Virus (WNV), and the susceptibility to WNV disease based on demographic data of the potentially affected population. The model was developed and then tested on census tracts in an identified hot spot of WNV in central California. The dataset contains (1) U.S. Census Bureau 2010 demographic data for 1,133 census tracks in the hotspot, and (2) and average mosquito habitat risk data for each of those census tracks.
Date: February 19, 2020
Creator: Kala, Abhishek K. & Atkinson, Samuel F.
Object Type: Dataset
System: The UNT Digital Library
Reactions of triosmium and triruthenium clusters with 2-ethynylpyridine: new modes for alkyne C–C bond coupling and C–H bond activation (open access)

Reactions of triosmium and triruthenium clusters with 2-ethynylpyridine: new modes for alkyne C–C bond coupling and C–H bond activation

Article investigates the reaction of the trimetallic clusters [H₂Os₃(CO)₁₀] and [Ru₃(CO)₁₀L₂] (L = CO, MeCN) with 2-ethynylpyridine.
Date: August 19, 2020
Creator: Richmond, Michael G.; Joy, Tuhinur R.; Roknuzzaman; Hossain, Emdad; Ghosh, Shishir; Tocher, Derek A. et al.
Object Type: Article
System: The UNT Digital Library
RNaseH-mediated simultaneous piggyback knockdown of multiple genes in adult zebrafish (open access)

RNaseH-mediated simultaneous piggyback knockdown of multiple genes in adult zebrafish

This article tests if it is possible to piggyback more than one antisense deoxyoligonucleotide (dO) with one vivo morpholino (VMO). The authors previously developed a piggyback knockdown method that was used to knockdown genes in adult zebrafish. In this article, the authors develop a method to knockdown three genes at one time, and by increasing the concentration of VMO by twofold, could knockdown six genes simultaneously. These multiple gene knockdowns will not only increase the efficiency of the method in whole genome-wide knockdowns but will also be useful to study multifactorial disorders.
Date: November 19, 2020
Creator: Raman, Revathi; Ryon, Mia & Jagadeeswaran, Pudur
Object Type: Article
System: The UNT Digital Library