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These collections comprise a synthesis of bottle data for all ocean depths from many cruises collected over several decades.
The complete data set includes all the different phantoms, the 20 cm with and without TEM, the IQ and the ACR, but not the liter bottle data.
The liter bottle data set includes set 1 (the results from just the 1-L bottle) and set 2 (with the 1-, 2-, and 4-L bottles combined).
The complete liter bottle data set contained 17 scans, of which 14 are 1-L bottle scans, 2 are 2-L bottle scans, and 1 is a 4-L bottle scan.
Up-scaled variables with higher native resolutions had greater agreement with water bottle data than those at coarser resolutions (0.25° for temperature and salinity against 1° for nitrate, phosphate and silicate) (Figure 3).
Shown spatially, the discrepancies between the variables and water bottle data are generally found in areas of high variability, i.e. in the Pacific Ocean and/or areas where upwelling occurs (Figure 2).
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Experiments were carried out in anaerobic bottles (data not shown) and fermentors with similar results.
"Imagine a world where every Coke bottle sends data.
No association was found between lack of insurance (N = 12, 5%), or any type of insurance (Medicaid vs. Medicare vs. private), and early bottle exhaustion (data not shown).
Consequently, another PET material will have a different pre-exponential factor or a different activation energy, i.e. the bottle PET data depicted in Figure 2 lie in a different region of the Arrhenius plot (Welle & Franz 2011).
The locomotor, water- and NaCl-2-bottle-choice data were analyzed with Student's t-test.
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