A dataset containing a sample of processed flapper skate (Dipturus intermedius) detection time series. Data are arranged by individual_id, timestamp and then receiver_id (see below).

dat_acoustics

Format

A dataframe with 39,242 observations and 9 variables:

individual_id

A unique identifier of the individual that was detected (see dat_ids).

transmitter_id

The acoustic transmitter that was detected (see dat_ids).

index

An integer individual-specific cumulative detection index.

timestamp

A POSIXct object which defines the time of each observation.

receiver_id

A unique identifier of the receiver at which the individual was detected (see dat_moorings).

receiver

The receiver at which the individual was detected (see dat_moorings).

receiver_long

The longitude of the receiver at which the individual was detected (see dat_moorings).

receiver_lat

The latitude of the receiver at which the individual was detected (see dat_moorings).

receiver_depth

The depth of the receiver at which the individual was detected (see dat_moorings).

Source

Data were collected by, and belong to, Marine Scotland Science and NatureScot. Data were processed by Edward Lavender. If you wish to use these data, please contact Marine Scotland Science and NatureScot for further information.

Details

Time stamps are expressed to the nearest two minutes. `Duplicate' detections (of the same individual at the same receiver in the same time step) are excluded. This supports the implementation of the acoustic-container (AC) and acoustic-container depth-contour (ACDC) algorithms (see ac and acdc).

References

Data collection and processing are described in Lavender (2022). Modelling the movements of flapper skate (Dipturus intermedius) in relation to a Scottish Marine Protected Area. University of St Andrews. https://www.doi.org/10.17630/sta/201