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We applied corrections for both issues and describe the methods we used to discern those issues and correct them.
To estimate density for historical communities, we used the Morisita plotless density estimator and applied corrections for surveyor bias.
Inconsistent relationships between particle size, organic carbon and tracer property concentrations further undermined the basis for the use of widely applied corrections to tracer datasets.
Therefore, photon flux, scatter fraction, detector uniformity, and applied corrections (beam hardening, scatter, …) are likely to differ considerably between the four CT systems.
In addition, when estimating station corrections, we applied corrections of the abnormal seismic intensity distribution and source term for Eq. (2) in order to reduce the effects of factors other than site amplification.
Indeed, when we applied corrections based upon theoretical pigments with λmax ranging from 484 511 nm we found that the two datasets could be fit by a single curve (F-test p>0.05) only when corrected according to the spectral sensitivity of pigments within a relatively narrow range (λmax = 492 503 nm).
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However, a commonly applied correction method has not yet been established.
More specifically, instabilities caused by overestimation are common situations where the applied correction is much stronger than the desired.
The iterative structure is due to the applied correction for the ocean effect (arising from a laterally heterogeneous surface shell).
The applied correction for transport processes had a varying impact.
In this meta-analysis, we applied correction for heterogeneity.
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