Example dataset — example

Example dataset used to illustrate the format expected by espresso.

data(example_brs)

Format

A tibble, with the following columns:

`Project`	Project name or code
`Species`	Species code, as listed in `species_brs`
`Tag_ID`	Unique tag identifier
`Resp_time`	Time at response
`Resp_type`	Response type (avoidance, startle, respiration, foraging, locomotion, group, dive, orientation, resting, vocal, or any)
`Resp_score`	Severity of the response (on a point scale from 0 to 7), as scored by expert elicitation
`Resp_SPL`	Sound pressure level at time of response (in dB re 1μPa)
`Resp_SELcum`	Cumulative sound exposure level at time of response (in dB re 1μPa)
`Max_SPL`	Maximum sound pressure level reached during the exposure
`Max_SELcum`	Maximum sound exposure level reached during the exposure
`Censored`	Integer variable indicating whether an observation is left-censored (-1), right-censored (1) or not censored (0)
`Exp_order`	History of exposure (1 = 1st exposure, 2 = 2nd exposure, etc.)
`Exp_duration`	Duration of the exposure
`Exp_signal`	Type of sonar signal (e.g., MFAS, REAL MFA, PRN, CAS)
`Pre_feeding`	Behavioural mode (TRUE = feeding, FALSE = non-feeding)
`Resp_range`	Whale-source range at the time of response
`Min_range`	Minimum whale-source range during the exposure
`Inferred Resp_range`	Best estimate of whale-source range at the time of response
`Inferred Min_range`	Best estimate of minimum whale-source range during the exposure

Note: This is a completely manufactured dataset, which should not be used for inference. The ordering of columns does not matter.