Can ethograms be automatically generated using body acceleration data from free-ranging birds?

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Can ethograms be automatically generated using body acceleration data from free-ranging birds? is …
instance of (P31):
scholarly articleQ13442814

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P819ADS bibcode2009PLoSO...4.5379S
P356DOI10.1371/JOURNAL.PONE.0005379
P932PMC publication ID2671159
P698PubMed publication ID19404389
P5875ResearchGate publication ID24379170

P50authorSarah WanlessQ35852471
Kentaro Q. SakamotoQ37377654
Francis DauntQ51156985
Katsufumi SatoQ92765973
P2093author name stringMayumi Ishizuka
Yutaka Watanuki
Akinori Takahashi
P2860cites workMigration and stopover in a small pelagic seabird, the Manx shearwater Puffinus puffinus: insights from machine learningQ24652794
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A new method to quantify prey acquisition in diving seabirds using wing stroke frequency.Q53126637
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Unconventional ventral attachment of time-depth recorders as a new method for investigating time budget and diving behaviour of seabirdsQ73344693
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue4
P407language of work or nameEnglishQ1860
P921main subjectaccelerationQ11376
automationQ184199
P304page(s)e5379
P577publication date2009-04-30
P1433published inPLOS OneQ564954
P1476titleCan ethograms be automatically generated using body acceleration data from free-ranging birds?
P478volume4

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