## Data on predicted porpoise responses for the model of 24-h response with distance

dataset

posted on 05.06.2019 by Isla M. Graham, Nathan D. Merchant, Adrian Farcas, Tim R. Barton, Barbara Cheney, Saliza Bono, Paul M. Thompson#### dataset

Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.

Data on predicted porpoise responses for the model (24-h response ~ log(distance)*piling order + no. vessel locations_1km; see Table 1, Model a) used in the R code in the ESM to calculate the number of individuals displaced using behavioural-response curves.
Filename = “Graham_BOWL_cMMMP_bootstrapped_predictions_m8_24_data_2019-05-01.csv”
Six columns = distance, zorder, zvessels_1km, fit, lci, uci
distance is the distance to piling (km).
zorder is the standardised value of piling order (order in which the locations were piled): values were standardised by subtracting the mean piling order and dividing by the standard deviation of the mean.
zvessels_1km is the standardised value of the number of AIS vessel detections in the 24-h response period within 1km of the CPOD: values were standardised by subtracting the mean number of AIS vessel detections and dividing by the standard deviation of the mean.
fit are the predicted values of the probability of response estimated using bootstrapping.
lci are the predicted values of the lower 95 % confidence interval of the probability of response estimated using bootstrapping.
uci are the predicted values of the upper 95 % confidence interval of the probability of response estimated using bootstrapping.