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1,024 results for “mosquitos”
Species-level estimated abundances and zero counts of nighttime collected female mosquitoes 2014 - 2022 (Derived from NEON Mosquitoes sampled from CO2 traps (DP1.10043.001, RELEASE-2024))
This Level 2 data package contains species level estimated abundances, including zero counts, and estimated mean number of female mosquitoes per trap derived from the NEON Mosquitoes sampled from CO2 traps (DP1.10043.001), RELEASE-2024 Level 0 data (https://doi.org/10.48443/3cyq-6v47). The data set includes mosquito records of traps collecting mosquito samples at night, for up to 24 trap hours, across a total of 20 terrestrial core and 27 terrestrial gradient sites from 2014 to 2022. To ensure high confidence in abundance estimates, records were only included when at least 90% of collected individuals were identified to sex, and 90% of female specimens were identified to species. Information across multiple QC/QA fields within the NEON mosquito data was evaluated to identify and exclude records where confidence in estimated abundances may have been compromised. Species level zero counts were added for all species collected at least once within the sampling year and trap location. Additionally, species level zero counts were included for trap events where only male mosquitoes had been collected or where QC/QA remarks indicated traps were inactive due to cold temperatures. The data set provides an analysis ready time series of estimated abundances across NEON sites and plots. An R Markdown file that contains descriptions of the QC/QA and data filtering steps along with annotated code, as well as data tables used to filter active and inactive trap events based on QC/QA fields, are published with the data package. Any questions about this data package should be directed to Amely Bauer listed under contacts.
De Obaldia et al. Differential mosquito attraction to humans is associated with skin-derived carboxylic acid levels
<p>These supplementary files accompany the manuscript by De Obaldia et al. entitled "Differential mosquito attraction to humans is associated with skin-derived carboxylic acid levels." This includes all raw data in the paper, supplementary data, and instructions for the mosquito behavioral assays.</p> <p> </p> <p>On January 2, 2023 we added one new data file and a .readme to explain changes between the original pre-print and the published peer-reviewed version of the paper https://pubmed.ncbi.nlm.nih.gov/36261039/</p>
Potential effects of invasive plants on mosquito life-history traits.
<p>Invasive plants offer suitable oviposition sites for some vector species (a); invasive plant litter increases proliferation of immature vectors (b); dense canopy cover or thickets of invasive plants provide suitable micro-habitats for adult mosquitoes (c); nectariferous flowers (d) and extra-floral glands (e) of invasive plants are important sugar sources for adult vectors; invasive plants can influence the pathogen transmission ability of the vector (f).</p> <p>A grey-scaled version was published as Figure 1 in <a href="https://doi.org/10.3390/v13010032">Agha et al. (2020)</a>.</p> <p>Required software: <a href="https://krita.org/">Krita</a> and <a href="https://www.gimp.org/">Gimp</a>.</p>
Asaia spp. accelerate development of the yellow fever mosquito, Aedes aegypti, via interactions with the vertically transmitted larval microbiome
<p><strong><span>Background:</span></strong><em> Aedes aegypti</em> mosquitoes are the primary vectors of yellow fever, dengue, chikungunya and Zika virus. Control programs primarily rely on insecticide application, which encounter challenges related to efficacy and resistance evolution. Alternative strategies, such as the sterile insect technique, highly depend on efficient mass-rearing of healthy insects prior to mass release. Based on effects seen in other mosquito species, we tested the hypothesis that acetic acid bacteria <span>of the </span><em>Asaia</em> <span>genus are</span> mutualist<span>s</span> for developing <em>Ae. aegypti</em> larvae. We tested for beneficial interactions across three <em>Asaia </em>species and whether <em>Asaia</em> inoculation benefited both axenic and conventionally reared larvae. To better understand the underlying mechanisms, we characterized the larval microbiome<span> </span>using culture-based methods and 16S rRNA gene amplicon sequencing.</p> <p><strong>Results:</strong><span> <span>Even</span></span> though <em>Asaia </em>bacteria were transient members of the gut community in conventionally reared insects<span>, t</span>wo <em>Asaia </em>species accelerated larval development relative to controls.<span> Despite their transient nature, </span>the two mutualist <em>Asaia</em> species had lasting impacts on the larval microbiome, mostly by altering the relative abundance of the most dominant bacteria genera <em>Klebsiella</em> and <em>Pseudomonas</em> and other minor components<span>.</span> Axenic larvae that were inoculated with <em>Asaia </em>were dominated by this group, but always exhibited slower development than conventionally reared insects.</p> <p><strong>Conclusions:</strong> These results reveal <em>Asaia</em> as a poor mutualist for <em>Ae. aegypti</em>, with its<em> </em>positive effect on the host mediated by interactions with other bacteria. A practical application of <em>Asaia </em>for improving mass-rearing efficiency results from the acceleration of development time to pupation by a day.</p>
Identification of Southeast Asian Anopheles mosquito species with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using a cross-correlation approach
<p>This is the dataset used in the analysis "Identification of Southeast Asian <em>Anopheles </em>mosquito species with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using a cross-correlation approach". It consists in 3584 raw mass spectra (mzXML file format) of the head of 359 <em>Anopheles </em>mosquito specimens collected in Karen (Kayin state) in Myanmar between 2020 and 2022 and associated metadata (Rdata file format) including sample information (taxonomy.Rdata) and spectra information (metadata.Rdata).</p>
Manatee County Mosquito Control District entomological monitoring 2015
<p>Mosquito surveillance from the Manatee County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Manatee County Mosquito Control District entomological monitoring 2014
<p>Mosquito surveillance from the Manatee County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Manatee County Mosquito Control District entomological monitoring 2013
<p>Mosquito surveillance from the Manatee County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Manatee County Mosquito Control District entomological monitoring 2012
<p>Mosquito surveillance from the Manatee County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Manatee County Mosquito Control District entomological monitoring 2016
<p>Mosquito surveillance from the Manatee County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Orange County Mosquito Control District entomological monitoring 2017
<p>Mosquito surveillance from the Orange County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Orange County Mosquito Control District entomological monitoring 2015
<p>Mosquito surveillance from the Orange County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Orange County Mosquito Control District entomological monitoring 2016
<p>Mosquito surveillance from the Orange County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Orange County Mosquito Control District entomological monitoring 2014
<p>Mosquito surveillance from the Orange County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Orange County Mosquito Control District entomological monitoring 2013
<p>Mosquito surveillance from the Orange County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Hernando County Mosquito Control District entomological monitoring 2017
<p>Mosquito surveillance from the Hernando County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
South Walton County Mosquito Control District entomological monitoring 2016
<p>Mosquito surveillance from the South Walton County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
South Walton County Mosquito Control District entomological monitoring 2017
<p>Mosquito surveillance from the South Walton County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Hernando County Mosquito Control District entomological monitoring 2016
<p>Mosquito surveillance from the Hernando County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
South Walton County Mosquito Control District entomological monitoring 2014
<p>Mosquito surveillance from the South Walton County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.