Understanding the population dynamics of American mosquitoes at a continental scale requires time series data on mosquito abundance at different sites. This project seeks to collect raw trap count data from many different contributors (e.g. mosquito abatement districts), collate it in a public database, and make it available for visualization and download via an open access web interface. In this way, a little data from many diverse contributors can add up to a comprehensive resource for all. Our hope is to find data from each of the ~100 North American EPA level III co-regions.
Visit the VectorByte VecDyn interface to see / download the data we have collected so far. Note: This project is in infancy – most data we have collected is still being processed/transferred.
This works builds on the work of my previous work on the VectorBase MapVEu project and An.gambiae seasonality profiling project.
Input Data
- Abundance (e.g. catch per unit effort)
- Per sample unit (e.g. a trap)
- Species identification
- Longitudinal (e.g. weekly) sampling that captures seasonality
- Published or unpublished
- We are looking for data source from all ~100 level III US EPA ecoregions
Public database
- Accessible for open access / download by all via the VectorByte data portal
- Ensures FAIR data (Findable, accessible, interoperable, reusable)
Data queries
The database can be queried to address a variety of vector population dynamics questions including:
- The relationship between bird migration and arbovirus risk
- Spatio-temporal population sizes
- Seasonal risk to livestock from arboviruses
- Other research questions by the community, including yours!
We are particularly interested in identifying data sources from the regions above that are not in blue (the ecoregions in blue we have identified data sources for).
Please contact srund@nd.edu if you are interested in sharing data from these areas.
Frequently asked questions
What format is data accepted ?
We aim to make things as easy as possible for data generators. if we can understand it, it’s good enough!
However, you might consider this paper where we make some suggestions.
A collaboration between VectorByte and the USDA–ARS.
Hosted at the University of Notre Dame – Center for Research Computing.
Please contact Sam Rund at srund@nd.edu for more information.