Data from: Adipose tissue estimation of foraging and nesting green turtles (Chelonia mydas) using bioelectrical impedance analysis

Dataset of the manuscript: "Adipose tissue estimation of foraging and nesting green turtles (Chelonia mydas) using bioelectrical impedance analysis.".

Dataset provided in .xlsx, .csv, and .ods formats.

Software/equipment used to create/collect the data: Body impedance measurements were subsequently performed with a handheld bioelectrical impedance spectroscopy (BIS) analyser (SFB7, Impedimed, Brisbane, QLD, Australia) following procedures outlined in Kophamel et al. (2023). The BIS device measured resistance and reactance at 256 logarithmically-spaced frequencies in the range 3-1000 kHz, and device calibration was verified daily during fieldtrips. Ten replicate impedance measurements with an interval of five seconds were recorded to account for intra-animal variability, with each measurement taking 800 ms. The extracted data of interest were resistance at infinite frequency (Rinf, predictor of total body water and fat-free mass), resistance at zero frequency (R0, predictor of extracellular water), intracellular resistance (Ri, an index of intracellular water); and, for comparison with studies using single-frequency BIA (SFBIA) devices, resistance at 50 kHz (R50), reactance at 50 kHz (Xc50) and phase angle at 50 kHz (PhA50).

Software/equipment used to manipulate/analyse the data: Recorded impedance data were analysed using Bioimp software (v5.4.0.3, ImpediMed Ltd, Brisbane, QLD, Australia), that calculates resistance (R, ohm), reactance (Xc, ohm) and phase angle (PhA, arctangent Xc/R, degrees) at each frequency and uses Cole analysis to obtain estimated resistance at infinite frequency (Rinf) and at zero frequency (R0) (Cornish et al. 1993) (for further details please refer to the manufacturer's website: https://www.impedimed.com/). The extracted parameter of interest was resistance at 50 kHz (R50) for comparison with studies using the more affordable SFBIA devices. AT (kg) for each individual turtle was estimated using the equation derived in Kophamel et al. (in press).

    Data Record Details
    Data record related to this publication Data from: Adipose tissue estimation of foraging and nesting green turtles (Chelonia mydas) using bioelectrical impedance analysis
    Data Publication title Data from: Adipose tissue estimation of foraging and nesting green turtles (Chelonia mydas) using bioelectrical impedance analysis
  • Description

    Dataset of the manuscript: "Adipose tissue estimation of foraging and nesting green turtles (Chelonia mydas) using bioelectrical impedance analysis.".

    Dataset provided in .xlsx, .csv, and .ods formats.

    Software/equipment used to create/collect the data: Body impedance measurements were subsequently performed with a handheld bioelectrical impedance spectroscopy (BIS) analyser (SFB7, Impedimed, Brisbane, QLD, Australia) following procedures outlined in Kophamel et al. (2023). The BIS device measured resistance and reactance at 256 logarithmically-spaced frequencies in the range 3-1000 kHz, and device calibration was verified daily during fieldtrips. Ten replicate impedance measurements with an interval of five seconds were recorded to account for intra-animal variability, with each measurement taking 800 ms. The extracted data of interest were resistance at infinite frequency (Rinf, predictor of total body water and fat-free mass), resistance at zero frequency (R0, predictor of extracellular water), intracellular resistance (Ri, an index of intracellular water); and, for comparison with studies using single-frequency BIA (SFBIA) devices, resistance at 50 kHz (R50), reactance at 50 kHz (Xc50) and phase angle at 50 kHz (PhA50).

    Software/equipment used to manipulate/analyse the data: Recorded impedance data were analysed using Bioimp software (v5.4.0.3, ImpediMed Ltd, Brisbane, QLD, Australia), that calculates resistance (R, ohm), reactance (Xc, ohm) and phase angle (PhA, arctangent Xc/R, degrees) at each frequency and uses Cole analysis to obtain estimated resistance at infinite frequency (Rinf) and at zero frequency (R0) (Cornish et al. 1993) (for further details please refer to the manufacturer's website: https://www.impedimed.com/). The extracted parameter of interest was resistance at 50 kHz (R50) for comparison with studies using the more affordable SFBIA devices. AT (kg) for each individual turtle was estimated using the equation derived in Kophamel et al. (in press).

  • Other Descriptors
    • Descriptor
    • Descriptor type
  • Data type dataset
  • Keywords
    • sea turtle
    • nutritional status
    • body fat
    • adipose tissue
    • body condition
    • Bland-Altman
  • Funding source
    • Assessment of health status in sea turtle populations by bioelectrical impeedance analysis method
    • World Wildlife Fund
  • Research grant(s)/Scheme name(s)
    • - SWR/6/2019
    • -
  • Research themes
    Tropical Ecosystems, Conservation and Climate Change
    FoR Codes (*)
    SEO Codes
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date 2018/08/01
  • End Date 2019/10/31
  • Time Period
    Spatial (location) coverage
  • Locations
    • Great Barrier Reef, Australia
    Data Locations

    Type Location Notes
    Attachment Dataset_Kophamel.ods
    Attachment Dataset_Kophamel.xlsx
    Attachment Dataset_Kophamel.csv
    The Data Manager is: Suzanne Munns
    College or Centre College of Public Health, Medical & Vet Sciences
    Access conditions Open: free access under license
  • Alternative access conditions
  • Data record size 3 files: 225 KB
  • Related publications
      Name Kophamel, Sara, Rudd, Donna, Ward, Leigh C., Shum, Edith, Ariel, Ellen, Mendez, Diana, Starling, Jemma, Mellers, Renee, Burchell, Richard K., and Munns, Suzanne L. (2022) Haematological and biochemical reference intervals for wild green turtles (Chelonia mydas): a Bayesian approach for small sample sizes. Conservation Physiology, 10 (1).
    • URL https://doi.org/10.1093/conphys/coac043
    • Notes Open Access
    • Name Kophamel, Sara, Illing, Björn, Ariel, Ellen, Difalco, Morgan, Skerratt, Lee F., Hamann, Mark, Ward, Leigh C., Méndez, Diana, and Munns, Suzanne L. (2022) Importance of health assessments for conservation in noncaptive wildlife. Conservation Biology, 36 (1). e13724.
    • URL https://doi.org/10.1111/cobi.13724
    • Notes Open Access
    • Name Kophamel, Sara, Ward, Leigh C., Konovalov, Dmitry A., Mendez, Diana, Ariel, Ellen, Cassidy, Nathan, Bell, Ian, Balastegui Martínez, María T., and Munns, Suzanne L. (2022) Field‐based adipose tissue quantification in sea turtles using bioelectrical impedance spectroscopy validated with CT scans and deep learning. Ecology and Evolution, 12.
    • URL https://doi.org/10.1002/ece3.9610
    • Notes Open Access
    • Name Kophamel, Sara, Ward, Leigh C., Ariel, Ellen, Mendez, Diana, O'Brien, Lauren M., Burchell, Lauren, and Munns, Suzanne L. (2023) A Standardized Protocol for Measuring Bioelectrical Impedance in Green Turtles (Chelonia mydas). Physiological and Biochemical Zoology, 96 (2). pp. 87-99.
    • URL http://doi.org/10.1086/722451
    • Notes Open Access
    • Name Adipose tissue estimation of foraging and nesting green turtles (Chelonia mydas) using bioelectrical impedance analysis
    • URL https://doi.org/10.3354/esr01248
    • Notes Open Access
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    Citation Kophamel, Sara; Ward, Leigh C.; Mendez, Diana; Ariel, Ellen; Bell, Ian; Shum, Edith; Munns, Suzanne L. (2023): Data from: Adipose tissue estimation of foraging and nesting green turtles (Chelonia mydas) using bioelectrical impedance analysis. James Cook University. https://doi.org/10.25903/73jy-ky07