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Florida invasive Leiocephalus carinatus ecological niche model, thermal environment, and thermal tolerance, 1991-2020

Metadata Updated: July 6, 2024

The publication "Invaders from Islands: Thermal Matching, Potential, or Plasticity?" is comprised of data derived from multiple datasets. These datasets include climactic and temperature variables used in ecological niche models for predicting suitable habitat for Leiocephalus carinatus in its invaded and native ranges. Also included are thermal tolerance measurements assessed in March 2020 for Leiocephalus carinatus from Key Largo and Cocoa Beach, USA. Additionally, we include weatherstation data for local minimum and maximum ambient temperatures for the experimentally assessed populations at short (months) and long (decades) timescales. The dataset "curly_thermal_limits" describes thermal tolerance data for Leiocephalus carinatus captured in March 2020 from two nonnative populations in Florida. The dataset "pre_study_ambient_temps_long" contains ambient minimum and maximum temperatures derived from weather stations near Cocoa Beach and Key Largo, Florida, spanning from 1991 to 2020. The dataset "pre_study_ambient_temps_short" contains ambient minimum and maximum temperatures derived from weather stations near Cocoa Beach and Key Largo, Florida, spanning from October 1 2019 to March 8, 2020 (the last day of lizard thermal lizard sampling for this study). There are three occurrence datasets with GPS locations used to develop ecological niche models representing all points, invasive points, and native points, respectively. (ALL_occurrences.csv , INVADED_occurrences.csv, NATIVE_occurrences.csv). There are two datasets describing background points (GPS locations) used in ecological niche models for the invaded and native ranges, respectively (background_points_invad.csv , background_points_NR.csv ). There is one dataset (thresholded_differences.csv) containing thresholded relative suitability data extracted from two ecological niche models. There are three sets of six raster files used to develop ecological niche models (described in detail in Step 3), for native range (files ending with "n"), full model (invaded + native range; files ending with "f") and model projection area (files ending with "p"). In addition to data, we included scripts and model output as part of this data release. One zipped folder (R_scripts) contains various R scripts used in the analysis, and another zipped folder (Ensemble_model_output) contains output files from ensemble model analyses using BIOMOD (a free open-source package implemented in R).

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/116cfde8c0afdc5205a3d6c04ca07715
Identifier USGS:607df429d34e8564d67e3afc
Data Last Modified 20210506
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 04030340-446b-466f-ad23-480f5f34a270
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -87.627,19.4355,-72.5977,31.0153
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash b9251e924bb845febc5336abfa1b7b0475a4d56180d6d809bdb25cdfeda30d67
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -87.627, 19.4355, -87.627, 31.0153, -72.5977, 31.0153, -72.5977, 19.4355, -87.627, 19.4355}

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