Metadata file
Predicting the distribution of foraging seabirds during a period of heightened environmental variability 
Evans, R., Lea, M-A., Hindell, M.H.

Dates: Local Time UTC+11
Coordinates: Decimal degrees

Environmental covariates:
Extracted from SETAS model for cloasest lat and lon and time of day:
Southeast Tasmania – Operational Hydrodynamic Model (SETAS). This high resolution model developed by the CSIRO Coastal Environmental Modelling Team has been fully validated using in situ data (Jones et al. 2012)

Season: ESummer - early summer; LSummer - late summer
SST_SETAS - temperature from surface layer of model (°C)
salt - salinity
botz - bottom depth (m)
eta - surface elevation (m)
mld - mixed layer depth (m)
u - east-west current speed (ms-1)
v - north-south current speed (ms-1)
Survey_climatology - SST minus survey mean
SST_gradient - Difference in SST between one segment and the next. 
Biomass_mgm3 - Zooplankton samples were converted to dry-weight biomass mg m-3 by oven-drying for 24 hours at 60°C.
No_fish_schools - Not used in this analysis, visual count of fish schools per         segment of the echogram in echoview.
p_a - presence or absence of fish schools
fish_preds - Prediction of probability of fish schools per segment.
fish_preds_se - Standard error of prediction of probability of fish schools per segment
Group_A - Group A count per segment (Short-tailed shearwater and Fairy prion)
Group_B - Group B count per segment (Shy albatross, Buller's albatross, Grey-headed albatross, Black-browed albatross, Australasian gannet)
Group_C - Group C count per segment (Common diving petrel, Little penguin)
Group_D - Group D count per segment (Crested tern).