This file detail all the variables contained in each of the four datasets used in: Cruz-Font, Shuter, Blanchfield, Minns and Rennie. Life at the top: lake ecotype influences the foraging pattern, metabolic costs and life history of an apex fish predator contact: Liset Cruz Font (lisetcruzfont@gmail.com) or Brian Shuter (brian.shuter@utoronto.ca) for further details ###———————— dataset: bioenergetics_data.csv description: Data used for all the calculations related to the activity cost index variables and meaning: lake = lake names represented as L373 for Lake 373, L626 for Lake 626, LO for Lake Louisa and OP for Lake Opeongo fishid = identifies the fish tagged fl = fork length of each tagged fish; units in mm wght = weight of each tagged fish; units in g day = day of the year, which correspond to the 20-day period we selected in the summer hhour = classifies each detection into the corresponding 30-min interval within each hour These values run from 0.25 to 23.75, where the digits before the decimal represent the hour of the day at which each fish was detected, so they run from 0 to 23, and the digits after the decimal assign each detection into one of two 30-min time intervals, either .25 to represent the first half of each hour, or .75 to represent the second half of each hour. acc = the value of acceleration reported by the acoustic transmitter, units in a.u. fish_depth = the estimated depth (in meters) of tagged fish at the time that the acceleration value was reported. Because we had more sporadic detections in Algonquin Park, we estimated the median depth for each day and used those values to describe fish depths period = period of the day comprised of early night (N1), dawn (T1), day (D), dusk (T2), and late night (N2) tf = estimated temperature (in oC) experienced by fish, calculated from the temperature profiles measured at different depths in each lake mswim = swimming metabolism, estimated from the acceleration transmitter as explained in Cruz-Font et al (2016) mstd = standard metabolism estimated from Evan’s (2006) equation mtot = total metabolism, estimated from the acceleration transmitter as explained in Cruz-Font et al (2016) aci = activity cost index, calculated as Mswim/Mstd data structure: as given by the structure (str) command in R: > str(bioenergetics_data) 'data.frame': 110977 obs. of 14 variables: $ lake : Factor w/ 4 levels "L373","L626",..: 1 1 1 1 1 1 1 1 1 1 ... $ fishid : Factor w/ 36 levels "33","35","37",..: 1 1 1 1 1 1 1 1 1 1 ... $ fl : int 454 454 454 454 454 454 454 454 454 454 ... $ wght : int 762 762 762 762 762 762 762 762 762 762 ... $ day : int 207 207 207 207 207 207 207 207 207 207 ... $ hhour : num 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.75 0.75 ... $ acc : int 46 11 9 20 54 10 12 15 9 12 ... $ fish_depth: num 15.5 15.5 15.5 16 16 16 16 16 16 16 ... $ period : Factor w/ 5 levels "D","N1","N2",..: 2 2 2 2 2 2 2 2 2 2 ... $ tf : num 5.34 5.34 5.34 5.34 5.34 5.34 5.34 5.34 5.42 5.42 ... $ mswim : num 94.75 11.62 4.34 38.7 108.79 ... $ mstd : num 35.8 35.8 35.8 35.8 35.8 ... $ mtot : num 130.6 47.4 40.1 74.5 144.6 ... $ aci : num 2.647 0.325 0.121 1.081 3.039 ... ###———————— dataset: ELA_size_sex_age.csv description: Data to calculate the size at first maturity, the maximum size and the adult mortality for lake trout in the Experimental Lakes Area variables: WATER_ID = Lakes studied in the Experimental Lakes Area: L373 for Lake 373, L626 for Lake 626 DATE_CAPTURED = Date of capture FORK_LENGTH = Fork length of each captured fish SEX = Sex of each captured fish (1 = male, 2 = female) AGE = Age of each captured fish data structure: as given by the structure (str) command in R: > str(ELA_size_sex_age) 'data.frame': 684 obs. of 5 variables: $ WATER_ID : chr "L373" "L373" "L373" "L373" ... $ DATE_CAPTURED: Date, format: "2009-10-21" "2009-10-21" "2009-10-21" ... $ FORK_LENGTH : int 400 406 423 385 402 382 416 403 395 396 ... $ SEX : int 1 1 1 1 1 1 1 NA NA 1 ... $ AGE : num 17 9 7 7 8 5 13 12 18 11 ... ###———————— dataset: Algonquin_size_age.csv description: Data used to calculate the size at first maturity, the maximum size and the adult mortality for lake trout in the Algonquin Provincial Park variables: WATER_ID = Lakes studied in Algonquin Provincial Park: LO for Lake Louisa and OP for Lake Opeongo DATE_CAPTURED = Date of capture FORK_LENGTH = Fork length of each captured fish AGE = Age of each captured fish data structure: as given by the structure (str) command in R: > str(Algonquin_size_age) 'data.frame': 2802 obs. of 4 variables: $ WATER_ID : chr "LO" "LO" "LO" "LO" ... $ DATE_CAPTURED: Date, format: "1992-05-27" "1994-05-26" "1994-05-25" ... $ FORK_LENGTH : int 369 356 399 369 360 425 329 398 220 370 ... $ AGE : int 6 5 5 5 5 13 7 5 4 6 ... > ###———————— dataset: Algonquin_size_sex.csv description: Second set of data used to calculate the maximum size for lake trout in the Algonquin Provincial Park variables: WATER_ID = Lakes studied in Algonquin Provincial Park: LO for Lake Louisa and OP for Lake Opeongo DATE_CAPTURED = Date of capture FORK_LENGTH = Fork length of each captured fish SEX = Sex of each captured fish (1 = male, 2 = female) data structure: as given by the structure (str) command in R: > str(Algonquin_size_sex) 'data.frame': 3400 obs. of 4 variables: $ WATER_ID : chr "OP" "OP" "OP" "OP" ... $ DATE_CAPTURED: Date, format: "2001-08-01" "2001-08-01" "2001-08-01" ... $ FORK_LENGTH : int 538 530 380 490 452 546 410 630 414 540 ... $ SEX : int 1 1 2 1 1 2 2 1 2 1 ...