Readme.txt file for data packages associated with paper on “Far-field effects of impulsive noise on coastal bottlenose dolphins”.
Data were collected by the University of Aberdeen and collaborators. Financial support was provided by the UK Department of Energy and Climate Change (DECC), Scottish Government, Oil and Gas UK Ltd, COWRIE, Beatrice Offshore Wind Ltd and Moray Offshore Renewables Ltd.
Contact for queries is oihane.fernandez@abdn.ac.uk

Data package consists of the following 6 files:

1.	Filename: OFB_FarField_DPH.csv
Data from CPODs summarising dolphin detections per day between 1st of January 2009 and 31st of December 2019.
Five columns: deployment, site, date, tot.hours and accDPH. 
Deployment is the numeric identifier of the CPOD deployment.
Site is the numeric identifier for the location at which that CPOD was deployed.
Date is the date (dd/mm/YYYY)
Tot.hours is the number of hours that the CPOD was working during that day.
accDPH is the number of dolphin detection positive hours (DPH) during that day. 

2.	Filename: OFB_FarField_BOWL.csv
Beatrice Offshore wind farm Ltd piling information summarised by day. 
Three columns: turbine1, turbine2 and date.
Turbine1 is the piling location of the first turbine piled during that day.
Turbine2 is the piling location of the second turbine when two turbines were piled during that day.
Date is the date (dd/mm/YYYY)

3.	Filename: OFB_FarField_MEOW.csv
Moray East Offshore wind farm piling information summarised by day.
Three columns: turbine1, turbine2 and date.
Turbine1 is the piling location of the first turbine piled during that day.
Turbine2 is the piling location of the second turbine when two turbines were piled during that day.
Date is the date (dd/mm/YYYY)

4.	Filename: OFB_FarField_BACI_Obtain_DPH_Dataset.R
R code to create the dataset required to analyse the effect of offshore developments on dolphin detections. This code combines CPOD data (DPH per day) and development data (2D seismic survey, Beatrice wind farm, and Moray East wind farm).
R code requires input data files 1, 2 and 3 (OFB_FarField_DPH.csv, OFB_FarField_BOWL.csv and OFB_FarField_MEOW.csv)

5.	Filename: OFB_FarField_DPH_for_BACI.csv
Dataset that combines dolphin detections and offshore development information to analyse the effects of impulsive noise on dolphin occurrence.
Ten columns: deployment, site, date, tot.hours, accDPH, area, seismic, turbine1, turbine2 and piling.
Deployment is the numeric identifier of the CPOD deployment.
Site is the numeric identifier for the location at which that CPOD was deployed.
Date is the date (dd/mm/YYYY)
Tot.hours is the number of hours that the CPOD was working during that day.
accDPH is the number of dolphin detection positive hours (DPH) during that day. 
Area indicates the area at which that CPOD was deployed (2 levels: Reference/Impact). 
Seismic indicates whether the seismic survey took place that day (0: No, 1: Yes).
Turbine1 is the location of the piling activities during that day.
Turbine2 is the second location of the piling activities during that day.
Piling indicates whether offshore piling activities took place that day (0: No, 1: Yes).

6.	Filename: OFB_FarField_BACI_DPH_Models.R
R code to perform the BACI analyses and investigate whether there was a change in dolphin detections in the impact area relative to the reference area during three offshore developments. 
R code requires input data file 5 (OFB_FarField_DPH_for_BACI.csv).