Published May 11, 2021 | Version 3
Dataset Restricted

Deception Island Chinstrap pengui GPS and TDR tracking data 2018-2019 processed and raw

Creators

  • 1. Norwegian Polar Institute
  • 2. University of Cape Town
  • 3. INACh
  • 4. DEA South Africa

Description

GPS data:

  • 81 individuals with useable GPS tracks (removed 2 that had few points)
  • Penguins have been instrumented between 29th November 2018 – 14th January 2019
  • Captures were organised per round (8) at Bailey  head + MAC point
  • The GPS data have been preprocessed = Penguin_GPS_tidy
    • Removed all Nas
    • Removed locations with less than 4 satellittes
    • Removed all locations that are positive (aka impossible)
    • Match GPS data with penguins metadata
    • Cut off by deployment date + 24h and by revovery date
    • Removed D_R4_P10 that had a very high sampling rate (instrument failure?)
    • Applied a speed filter (SDA filter)
    • Build a CRAWL model for each track (no error model, couldn’t get it to work on GPS data with a constant error of 50m)
    • Predicted regularly time spaced locations every 2 min  based on the model (Penguin_GPS_tidyMOD)
    • Penguin_GPS_tidy2 holds the clean dataset with the correct cut off dates at the start (right before the 1st trip and at the recovery date)

TDR data:

  • 3(4) instrument types: Axy-trek (“regular” and AGM), Mk9 WC and LOTEK
  • 64 dive files associated with GPS data
  • Each have a different decoding software and result in a different .csv file
  • Each file is loaded and saved into a separate .Rds environment
  • Each file is cleaned for Nas and only the TDR columns are kept
  • The records are ordered by date
  • Dives calibration
    • For LOTEK instruments, I took the mean of the surface points (all the positive values after changing the sign of depth aka a point below the surface has a negative depth value). The mean of the surface points was between 2.3 and 1.7 m . That was the offset for each instrument used in the calibrDepth function.
    • downsampled each record to 1 point every 15 sec. I tested that over a few chunks of records and between 1 sec resolution and 15 sec we are retaining over 92% of the dives and the ones that are lost are mainly very shallow dives (<5m)
    • For MAC point we have 34 913 dives from 5 animals

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

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These data are only to be accessible via membership to the FRAPPE working group, or on express permission of the data owner (Lowther, A.D.).  Once published in a journal article, they will become Open Access / Unrestricted. 

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