Data from: A case for considering individual variation in diel activity patterns

Hertel A, Swenson J, Bischof R

Date Published: June 15, 2017

DOI: http://dx.doi.org/10.5061/dryad.67fn1

 

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Title Activity
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Description Distance based categorization of successive half hour relocation intervals of all individuals as active (1) or passive (0). dist = straight line distance between locations, Sample_ID = Disguised Bear ID, Sample Year = Disguised Sample Year (1 – 7, 2007 - 2013), Sample_Bearyear = Identifier for a given bear being sampled in a given year. To protect ongoing publication efforts x/y coordinates and actual BearIdentifications have been removed.
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Title ExtractedActivityDensCoef
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Description Estimates of activity density as a function of time of day (timeRad) for each Sample Bearyear.TimeRad = time in radians; ActivityDensity = estimated activity denisty extracted from denisty curves constructed using the function "densityPlot" from the overlap package (Meredeith & Ridout 2014); AverageCoef = Average Activity Density; Coef_Dev = Deviation from the average density coefficient. Negative numbers indicate that the individual was more often inactive than active at the given time, positive values that the individual was more often active than inactive. Sample_ID = Disguised Bear ID, Sample Year = Disguised Sample Year (1 – 7, 2007 - 2013), Sample_Bearyear = Identifier for a given bear being sampled in a given year. To protect ongoing publication efforts actual BearIdentifications have been removed.
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Title ForPCA
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Description Seven activity measures extracted from the activity density curve (TimeMinAct, TimeMaxAct, Variability, AUCRisk, PropRiskAct, TimeActive), age sex, fate and environmental covariates measured within the home range of an individual (bear.density, proportion berry habitat, road density)
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Title ForTacticRepeat
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Description For individuals which were observed in multiple years we determined the focal strategy (the strategy most used by an individual). For each year we then categorized the observed strategy (“cluster”) as focal or not (“in.focal” = TRUE/FALSE). We further simulated 10 random assignments (real = FALSE) into either of the four “clusters” which were then also categorized as belonging to the focal strategy or not (“in focal”).
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When using this data, please cite the original publication:

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Hertel A, Swenson J, Bischof R (2017) Data from: A case for considering individual variation in diel activity patterns. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.67fn1
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