This dataset provides morphological and blood-derived physiological data from invasive Burmese pythons (Python bivittatus) captured in Florida. Data were collected on pythons at capture in the field and in varying lengths of time in captivity. Samples were collected immediately at handling (baseline) and 1 hour post-restraint. Physiological data include circulating corticosterone hormone levels, functional immune assays, and blood cell counts. Also included is R code ( Python_captivity_capture_code.R ) to replicate analyses used in the publication "Scales of Stress: Effects of capture and captivity in an invasive snake". For reference, the following data files are relevant to each section of the corresponding manuscript: 1. Effects of different timescales of stressors: python_long.csv cellcountpart1.csv 2. Finer scale and non-linear relationships between metrics and captivity: python_wide.csv cellcountpart2.csv 3. Viral Infection Status: virus_data_full.csv

These data were collected from Burmese pythons removed from the Florida everglades as part of invasive-species management. After euthanasia, we sexed (male or female) and measured the snout-vent length (SVL; cm) and total body mass (g) for each python. We also measured total fat mass (g) by removing all visible fat bodies from the coelomic cavity and weighing this mass. For a subset of specimens, we recorded whether the pythons were put on ice after euthanasia and measured within 24 hours ('fresh') or whether the pythons were frozen after euthanasia, thawed, and then measured ('frozen'). These data were used to validate several body condition indices in Burmese pythons.

These data were collected from Burmese pythons removed from the Florida everglades as part of invasive-species management. After euthanasia, we sexed (male or female) and measured the snout-vent length (SVL; cm) and total body mass (g) for each python. We also measured total fat mass (g) by removing all visible fat bodies from the coelomic cavity and weighing this mass. For a subset of specimens, we recorded whether the pythons were put on ice after euthanasia and measured within 24 hours ('fresh') or whether the pythons were frozen after euthanasia, thawed, and then measured ('frozen'). These data were used to validate several body condition indices in Burmese pythons.

Morphometric data (mass, length, circumference, age) collected during an observation of a radio-telemetered female Burmese python (Python bivitattus) that ingested an adult female white-tailed deer (Odocoileus virginianus), retained the deer within the digestive tract for 10 days, and then vomited the deer coinciding with a drop in air temperature.

This dataset contains morphometric information from Burmese pythons collected from an invasive population in southern Florida between 1995-2021. Scientists from the U.S. Geological Survey and the National Park Service curated this dataset as a repository for records of Burmese pythons found on or nearby federal lands in southern Florida, including Everglades National Park, Big Cypress National Preserve, Biscayne National Park, and Crocodile Lake National Wildlife Refuge. As such, numerous entities actively or incidentally involved in python research or management activities contributed specimens and/or data to this dataset, including but not limited to the U.S. Geological Survey, National Park Service, U.S. Fish and Wildlife Service, University of Florida, Conservancy of Southwest Florida, Florida Fish and Wildlife Conservation Commission, South Florida Water Management District, volunteers, and members of the public. The dataset includes python identification information, capture information, morphometric data, and necropsy data. The structure of the dataset is such that every row pertains to a single date that data were collected from a single python so that serial captures and morphological data collected from unique individuals can be tracked across time via different rows.

This dataset contains morphometric information from Burmese pythons collected from an invasive population in southern Florida between 1995-2021. Scientists from the U.S. Geological Survey and the National Park Service curated this dataset as a repository for records of Burmese pythons found on or nearby federal lands in southern Florida, including Everglades National Park, Big Cypress National Preserve, Biscayne National Park, and Crocodile Lake National Wildlife Refuge. As such, numerous entities actively or incidentally involved in python research or management activities contributed specimens and/or data to this dataset, including but not limited to the U.S. Geological Survey, National Park Service, U.S. Fish and Wildlife Service, University of Florida, Conservancy of Southwest Florida, Florida Fish and Wildlife Conservation Commission, South Florida Water Management District, volunteers, and members of the public. The dataset includes python identification information, capture information, morphometric data, and necropsy data. The structure of the dataset is such that every row pertains to a single date that data were collected from a single python so that serial captures and morphological data collected from unique individuals can be tracked across time via different rows.

The size and sex of each of the Burmese pythons swabbed in this study for the SFD-causing (snake fungal disease) Ophidiomyces ophiodiicola pathogen is given along with the real time PCR swab result.

The size and sex of each of the Burmese pythons swabbed in this study for the SFD-causing (snake fungal disease) Ophidiomyces ophiodiicola pathogen is given along with the real time PCR swab result.

The dataset contains 3 components: (1) acceleration data logger (ADL) data, (2) GPS location data, and (3) body temperature data. We have ADL data from pythons in captivity (N = 2) and in free-ranging snakes (N=4). We have GPS data for 3 out of 4 free-ranging snakes. We have body temperature data for all 4 free-ranging snakes.

The dataset contains 3 components: (1) acceleration data logger (ADL) data, (2) GPS location data, and (3) body temperature data. We have ADL data from pythons in captivity (N = 2) and in free-ranging snakes (N=4). We have GPS data for 3 out of 4 free-ranging snakes. We have body temperature data for all 4 free-ranging snakes.