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4 results for “Asian longhorned tick”
APHIS Asian Longhorned Tick Observation Data 2010-2020
<p>NVSL tick observation data from APHIS (NVSL, 2020). NVSL is a national dataset of passive surveillance observations of tick species that impact animal health. NVSL samples are submitted when a suspected ALT is observed by regulatory field veterinarians, state and university diagnostic laboratories, and Food Safety and Inspection Service veterinarians. Data was collected from host animals, including humans, and environmental sources such as tick drags, carbon dioxide (CO2) traps, and animal inspections. Ticks identified on animals that were recently imported into the U.S. are not included. The first observation of ALT occurred in August 2010 and data is current as of November 2020. Data includes tick species, date, state, source (environment vs host) and number of ALT by life stage.</p>
Environmental variables serve as predictors of the exotic and invasive Asian longhorned tick (Haemaphysalis longicornis Neumann): an approach for targeted tick surveillance
<p>Since the 2017 discovery of established populations of the Asian longhorned tick, (<em>Haemaphysalis longicornis </em>Neumann) in the United States, populations continue to be detected in new areas. For this exotic and invasive species, capable of transmitting a diverse repertoire of pathogens and blood-feeding on a variety of host species, there remains a lack of targeted information on how to best prepare for this tick and understand when and where it occurs. To fill this gap, we conducted two years of weekly tick surveillance at four farms in Tennessee (three <em>H. longicornis</em>-infested and one without) to identify environmental factors associated with each questing life stage, to investigate predictors of abundance, and to determine the likelihood of not collecting ticks at different life stages. A total of 46,770 ticks were collected, of which 12,607 <em>H. longicornis</em> and five other tick species were identified. Overall, abundance of <em>H. longicornis </em>was associated with spring and summer seasons, forested environments, relative humidity and barometric pressure, sunny conditions, and in relation with other tick species. The likelihood of not collecting <em>H. longicornis</em> was associated with day length and barometric pressure. Additional associations for different life stages were also identified and included other tick species, climatic variables, and environmental conditions. Here, we demonstrated that environmental variables can be useful to predict the presence of questing <em>H. longicornis</em> and provide ideas on how to use this information to develop a surveillance plan for different southeastern areas with and without infestations.</p>
Environmental variables serve as predictors of the exotic and invasive Asian longhorned tick (Haemaphysalis longicornis Neumann): an approach for targeted tick surveillance
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Antiviral RNA interference in disease vector (Asian longhorned) ticks
GEO Series GSE159277. Haemaphysalis longicornis. 15 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.