Abstract

This dataset contains 4-millisecond snapshots of the GPS radio spectrum stored by wildlife tracking tags deployed on adult Southern Royal Albatross (Diomedea epomophora) in New Zealand. Approximately 60,000 snapshots were recovered from nine birds over two southern-hemisphere summers in 2012 and 2013. The data can be post-processed using snapshot positioning algorithms, and are made available as a test dataset for further development of these algorithms. Included are post-processed position estimates for reference, as well as test data from stationary tags positioned under various test conditions for the purposes of characterizing tag performance.

Highlights

  • Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • Recent developments in Global Navigation Satellite System (GNSS) positioning have led to a family of algorithms that require only millisecond samples of data, with the satellite ephemeris being provided externally

  • Further work was carried out in 2012 by Othieno and Gleason [5] who combined Doppler and code-phase measurements. These algorithms enable a new kind of wildlife tracking tag [6] that operates by waking from a low-power state, capturing the GPS L-1 data, storing the data with an estimate of the time, and returning to a low-power state

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Summary

Summary

Recent developments in Global Navigation Satellite System (GNSS) positioning have led to a family of algorithms that require only millisecond samples of data, with the satellite ephemeris being provided externally These algorithms are referred to as coarse-time, timefree, or snapshot positioning algorithms, and were first suggested in 1995 [1] and refined in 2009 [2] to show that positioning was possible using only code-phase measurements. Further work was carried out in 2012 by Othieno and Gleason [5] who combined Doppler and code-phase measurements These algorithms enable a new kind of wildlife tracking tag [6] that operates by waking from a low-power state, capturing the GPS L-1 data, storing the data with an estimate of the time, and returning to a low-power state. These data were gathered to demonstrate a practical use of snapshot positioning, as well as to further understand how these animals interact with fishing vessels [7] during their feeding flights (typically of 1–2 weeks’ duration) and to shed light on what resources these animals might be using for feeding

Data Description
Directory Structure
Snapshot File Structure
Acquisition Data
Methods
FastFix Position Estimates
Discussion & Conclusions
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