Looking for the next SARS-CoV-2? Between 2020 and 2022, the betacoronavirus reservoir project tracked every known bat host of a βCoV, and used those data to train eight-model machine learning ensemble that estimated there could be 300+ undiscovered hosts.

A taxonomically harmonized combination of four existing datasets on host-pathogen interactions, largely focused on mammal viruses. CLOVER is the precursor to, and hand-curated backbone of, VIRION, but also available independently in several flat files.

Worried about the next Zika? Evaluating the risk of a local vector species? The vector competence experimental testing database is compiling standardized data on infection, dissemination, and transmission of mosquito-borne viruses. (In development)

The bat coronavirus surveillance database compiled over 90,000 samples collected from wild bats and tested from coronaviruses from 1996 to 2018. Our work revealed key principles to optimize viral detection—and major global gaps in disease surveillance.

The host-virus model database is an annotated library of published scientific research that has developed methods to predict the host-virus network, serving as a living companion to our guide to different modeling approaches in Nature Microbiology.

The insectDisease R package now allows stable access to the Ecological Database of the World’s Insect Pathogens, a once-inaccessible database that includes unique data on experimental inoculations and other known insect-parasite associations.

The Pathogen Harmonized Observatory platform will be a global open data sharing system for wildlife disease surveillance — and is the first Verena platform to be designed for researchers to be able to share their own data in real-time, especially as it relates to One Health work and outbreak prevention.

A database of viral infection experiments with wildlife species, including both successful and failed infections, and metadata to make sense of experimental procedures. (In development)

Can this virus infect that host? The global virome in one network is an open-source, open-access atlas of the vertebrate virome - the largest ever compiled by scientists, covering 25% of mammals, 10% of birds, and 6% of all vertebrates—and updating daily.