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Diet of invasive Burmese Pythons (Python molurus bivittatus) in southern Florida, 1995-2020

Metadata Updated: July 6, 2024

Digestive tract contents were identified to provide an account of Burmese python diet. Diet contents came from 1716 pythons collected by cooperators during 1995-2020 from public and private lands across southern Florida, primarily within the Greater Everglades Ecosystem. Burmese pythons consumed 76 species of fauna across three taxonomic classes (Aves, Mammalia, and Reptilia).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/13b2798e164fe79b7d2309b76cc1e589
Identifier USGS:630e7961d34e36012ef9f696
Data Last Modified 20230216
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id e35f9221-baa8-4991-8894-c7bbffd0e1ae
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -82.4304,24.4371,-79.9365,26.3722
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 1a3f4a25c1b649725ec425f814af5c50ed74e90402cf6997753403be7365a5a6
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -82.4304, 24.4371, -82.4304, 26.3722, -79.9365, 26.3722, -79.9365, 24.4371, -82.4304, 24.4371}

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