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Table 1 Summary of DEE estimation dataset

From: Combining accelerometry with allometry for estimating daily energy expenditure in joules when in-lab calibration is unavailable

Individual #

Sex

Age (months)

Body mass (g)

# days of data

Month and year

1

F

25

581 ± 14

6

Aug–Sep 2018

2

F

25

537 ± 6

5

Aug–Sep 2018

3

F

22

627 ± 9

6

Sep 2018

4

F

12

577 ± 10

6

Sep 2018

5

F

12

513 ± 2

4

Jul 2019

6

M

30

NA

6

Jul 2019

7

M

48

733 ± 10

3

Jul 2019

8

M

16

660 ± 4

5

Aug 2019

9

M

16

600 ± 1

2

Aug 2019

10

M

23

717

1

Aug 2019

  1. Our DEE estimation dataset comprised of a total of 44 days of accelerometer data collected over 2 years (2018–2019) during the winter months of Jul–Sep from ten adult individuals, all subordinates in their respective groups (five females, five males). Body mass was available for 31 of these days for all individuals except #6