These data were generated during a USGS Rapid Response for brown treesnakes (Boiga irregularis) on Cocos Island Guam (Islan Dåno’, Guåhan in CHamoru). They represent data collected during nocturnal visual surveys for brown treesnakes and data associated with captured snakes, effort during visual surveys as time and distance, as well as lizards, birds, and bats encountered during transect surveys. These data represent all data collected from the onset of the rapid response in October 2020 through a typhoon that caused major site disturbance in May 2023. Data represent only USGS efforts during the specified time period. Additional data may be available for other organizations operating during the specified time period.

These data were generated during a USGS Rapid Response for brown treesnakes (Boiga irregularis) on Cocos Island Guam (Islan Dåno’, Guåhan in CHamoru). They represent data collected during nocturnal visual surveys for brown treesnakes and data associated with captured snakes, effort during visual surveys as time and distance, as well as lizards, birds, and bats encountered during transect surveys. These data represent all data collected from the onset of the rapid response in October 2020 through a typhoon that caused major site disturbance in May 2023. Data represent only USGS efforts during the specified time period. Additional data may be available for other organizations operating during the specified time period.

This data was collected as part of a larger project to examine predator-prey interactions between invasive Brown Treesnakes (Boiga irregularis, predator) and native prey species at a study site located in a peri-urban area of Andersen Air Force base in Guam, USA. This dataset includes two datasets. One dataset contains 22 columns and includes data collected on Brown Treesnakes captured between 23 December 2019 and 03 October 2022 during nocturnal surveys. The second dataset that contains 10 columns that describe 1240 individual trees at the study site that served as our sampling unit for the surveys.

This data release included data and metadata documenting morphological measurements and sex of Brown Treesnakes (Boiga irregularis; BTS) in 18 sites spanning six habitat types in Guam collected between 2010 and 2012 including measurements of relevant reproductive structures.

The dataset contains 16 columns of data collected on invasive Brown Treesnakes (Boiga irregularis) at a study site known as the Habitat Management Unit (HMU) in northern Guam. Snakes were fitted with radio-transmitters and teams of 2-4 biologist listened for signals from transmitters every seven days to determine if snakes were alive or dead. Survival data was then modeled in Program MARK to assess the effect of aerially applied toxic baits on snake mortality, including the effect of snake size covariates. In addition, this dataset contains snake capture information from reference sites on Guam that was used to demonstrate that our sample was representative of the size distribution in limestone forest habitat on Guam.

Data were collected in association with locations of standard brown treesnake traps on Guam at location prior to suppression or control efforts and after control had occurred. In all cases study sites were closed or semi-closed populations of brown treesnakes. Habitat data focused on type and structure of the habitat within 10-m of the trap.

Data were collected in association with locations of standard brown treesnake traps on Guam at location prior to suppression or control efforts and after control had occurred. In all cases study sites were closed or semi-closed populations of brown treesnakes. Habitat data focused on type and structure of the habitat within 10-m of the trap.

The data set consists of three files pertaining to invasive Brown Treesnakes (Boiga irregularis) and temporally-associated weather covariates on Guam: 1) snout-vent length (SVL) and sex of brown treesnakes (bts_growth.csv), 2) precipitation (bts_rain.csv), and 3) seasonality (bts_season.csv). Snout-vent lengths in millimeters (mm) and sex of 270 individually marked and recaptured brown treesnakes were accessed at irregular intervals between 2004-2013 in a 5-hectare enclosure that is geographically-closed to the snakes. Snakes were located by visual searches at night, by trapping, after they took radio-transmittered bait, and by incidental encounters. PIT tags (passive integrated transponders) and ventral scale clips allowed individual identification. Individual identity was also genetically evaluated through related research for this population (Levine et al. 2019). Snakes were measured stretching their body along a measuring tape and were retained only if consecutive captures were ≥20 days apart to minimize impacts of measurement errors. Dataset includes growth in snakes from immature to mature stages with an initial SVL measurement ≤850 mm, below the size at which the average male and female snake on Guam matures and with at least 150 mm increase in SVL. We also only included snakes with ≥4 measurements. Growth rates were then evaluated considering the amount of precipitation (mm) and seasonality. Rainfall data from the weather station at Guam International Airport, ca 18 km from our study site, spanning from March 2003 to July 2013 were obtained from the National Oceanic and Atmospheric Administration’s “NOWdata – NOAA Online Weather Data” (www.weather.gov/wrh/Climate?wfo=gum; accessed on 04 January 2022). Starting >1 year prior to the first growth rate estimate, for each date we calculated the cumulative precipitation (mm rain) the previous 90 days. There is distinct wet-dry seasonality on Guam with July−November having a mean monthly precipitation of 295 mm and December−June a mean monthly precipitation of 120 mm. A sinusoidal season covariate with a phase of 365 days and values oscillating between -1 and +1, lagged between 0 and 51 weeks were calculated for each date (bts_season.csv). We also provide code written in the R programming language to model growth rates of Brown Treesnakes as a function our weather associated covariates. This code filters the brown treesnake data set to create the records necessary to conduct the Gompertz and von Bertalanffy growth analyses with quantile regression.

Data fall into three types: 1) individual snake scanning data (PIT tag ID, time stamp, and device) downloaded from readers, 2) individual trait data (sex, size, etc) of tested brown treesnakes, and 3) detailed transcripts of videos of behavioral trial data as snakes interacted with the readers. All data were collected in an experimental arena in Dededo, Guam in August 2021.

The dataset consists of two spreadsheets that contain brown treesnake data (location, perch taxa, perch height, time of detection, whether visible or not, and size of snake) collected during both visual surveys and radio telemetry within a 55-ha enclosure on Guam.