Integrated Dataset for Avian Arbovirus Risk Analyses: Metadata, Seroprevalence, Traits and Environmental Context

This .xlsx file contains the complete dataset structure used in the analyses of avian exposure to West Nile Virus (WNV) and Saint Louis encephalitis Virus (SLEV) in central and northern Argentina. The workbook is organized into separate sheets, each serving a distinct purpose:
Metadata: Definitions of all variables, units, data types, sampling information, and methodological notes
Traits:
This sheet compiles all variables required to reproduce the statistical analyses, integrating seroprevalence data, ecological and life-history traits, and environmental descriptors. It includes species identity, taxonomy, sampling metadata (year, site, province, season), and serological results for SLEV and WNV. Ecological and life-history information includes clutch size, nest characteristics (height and type), body metrics (wing and tarsus length, mass), incubation and fledging periods, egg mass, generation length, number of broods per year, and migration status. The sheet also contains derived composite traits (Pace of Life and PCA2) as well as the coordinates, clustering assignments, and principal coordinate axis representing the environmental scenarios of viral transmission.
For reproducibility purposes, this sheet corresponds to the input dataset used in the statistical analysis scripts. To run the analyses without modifying file names in the scripts, users should export this sheet as a .csv file named species-traits.csv and place it in the appropriate working directory.

Sampling Events:
This sheet contains the environmental and geographic metadata associated with each field sampling event. It includes the year, site, province, season, geographic coordinates (latitude and longitude), and month of sampling. For each event, a set of climate and environmental descriptors is provided, including monthly precipitation, minimum and maximum monthly temperatures, annual mean temperature, temperature seasonality, annual precipitation, water vapor pressure, wind speed, elevation (MASL), and habitat type.
These variables were used to compute the environmental axes and cluster groups included in the traits sheet.