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Since the latter two approaches do not depend on the occurrence of seismic events, they can be used to evaluate instrument conditions at fixed intervals, which means they could help to identify sudden instrument condition changes.
As methods to evaluate the instrument condition in situ, Ekström et al. (2006) compared waveforms observed at GSN stations with synthetic waveform calculations based on estimated CMT solutions for M W ≥ 6.5 events and an assumed Earth's model, which indicated temporal changes in the amplitude frequency response at more than 15 stations.
Less than optimal instrument condition may result in chemical noise that is difficult to model (see below).
Such components may be introduced during the sample preparation process (for example, as a consequence of derivatization), or may originate from the instrument condition (due to column bleed, for example).
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Usually, helicopter pilots, along with those in small planes, do not have to file flight plans, unless they are flying under instrument conditions.
The other instrument conditions were set as follows: detector voltage 1.6 kV, CID energy 70%, nebulising gas flow 1.5 L/min, CDL temperature 200 °C, heat block temperature 200 °C, interface voltage 4.5 V, detector voltage 2 kV.
The response surface for σBC, which varied with instrument conditions, revealed a ridge indicating the correct conditions for OC pyrolysis in helium.
Effects of acid modifiers (ammonium chloride, acetic acid, formic acid and hydrochloric acid) and instrument conditions on the selector analyte ion intensity and the enantioselectivity (αMS) were investigated.
These are the temporally continuous shipboard navigational data (NAV), the automated underway surface atmospheric and oceanographic data (MET), the three-hourly manual synoptic weather observations (SYN) as well as the temporally discontinuous OceanRAIN ODM470 precipitation raw data (ODM) and metadata protocols on special weather and instrument conditions (META).
The instrument conditions are systematically monitored to maintain data quality (Kimura et al. 2015).
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