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Typically in the literature, ionospheric disturbances are investigated with gradient based methods on Total Electron Content (TEC) data estimated from ground based dual frequency Global Positioning System (GPS) receivers.

Proxy paleo-elevation data, estimated from the stratigraphic and geomorphological records, allow the building of quantitative paleogeoid, paleotopographic and paleogeographic models for the three main paleogeographic stages: pre-MSC (Tortonian-early Messinian), syn-MSC (late Messinian) and post-MSC (early Pliocene).

The commuting dataset [41] contains data estimated from census for around 140 million commuters during the period 2009-2013 athehe county level.

In the remaining area where no data were available, the gaps have been filled by synthetic data estimated from the lithospheric field model GRIMM_L120 (Lesur et al. 2013) derived from satellite data.

GC analysis results are shown in Table 4, where 97 wt% was produced from two samples injection, and indicates a high convergence to the data estimated from previous analysis based on applying a water displacement method.

The ionospheric TEC data estimated from observation (GPS) and the IRI-2012 model has been analyzed during quiet and storm periods, and it is found that the IRI model is not able to predict the storm impact, while observation data predicts it.

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Unlike the hospitalisation data, which were complete population data, bicycling trip data were estimated from survey samples.

In this context, the class discriminability of the projected data is estimated from the data scatter in the projected space.

jSpecificity of prediction rule derived from Study 1 data as estimated from validation data (Study2).

For both OFDM and SC systems, we have developed two iterative MMSE pilot-assisted channel estimators, where the soft data estimates from the turbo equalizers are used to improve the quality of the channel estimates.

Mean solar irradiation data is estimated from location specific meteorological data.

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