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  3. Tracking durations for marine turtles satellite tagged in Gulf of Mexico and Caribbean sites, 2008-2019

Tracking durations for marine turtles satellite tagged in Gulf of Mexico and Caribbean sites, 2008-2019

Dates

Publication Date
Start Date
2008
End Date
2019

Citation

Hart, K.M., Guzy, J.C., Cherkiss, M.S., and Smith, B.J., 2020, Tracking durations for marine turtles satellite tagged in Gulf of Mexico and Caribbean sites, 2008-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9OXCKYI.

Summary

This dataset contains tracking durations for several species of sea turtles tagged with satellite tags between 2008 and 2019. It contains information on species, turtle size, capture methods, tag type, how many days each tag transmitted, whether or not the tag was still attached upon recapture, fouling 'status' of the tag, and foraging region. This dataset thus allows estimation of tracking durations for four species of marine turtles tagged in different study sites in the Gulf of Mexico and Caribbean.

Contacts

Point of Contact :
Kristen M Hart
Originator :
Kristen M Hart, Jacquelyn C Guzy, Michael S Cherkiss, Brian J Smith
Metadata Contact :
Kristen M Hart
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Wetland and Aquatic Research Center
USGS Mission Area :
Ecosystems
Publisher :
U.S. Geological Survey

Attached Files

Click on title to download individual files attached to this item.

Hart et al. PTT ms-V3.xml
Original FGDC Metadata
View 		44.88 KB application/fgdc+xml
Epoxy.xlsx 40.19 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Fouling.xlsx 33.88 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
RealizedTrack.xlsx 52.83 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Purpose

These data were collected to estimate factors affecting tracking durations of four species of marine turtles including loggerheads (Caretta caretta), green turtles (Chelonia mydas), Kemp’s ridleys (Lepidochelys kempii) and hawksbills (Eretmochelys imbricata). They are designed to be analyzed with a combination of logistic regressions and an ordinary linear model including several predictor variables (i.e., tag type, battery life, species, turtle sex, turtle size, and foraging region).

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Communities

  • USGS Data Release Products
  • USGS Wetland and Aquatic Research Center

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9OXCKYI

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