The first two data layers were based on 30-year averages from Climate Forecast System Reanalysis (CFSR) data (Saha et al. 2010) at a 10 km resolution produced by a weather services company (ZedX inc.
Sample text:```In the maps by Poutsma et al.
(2008) and Bidinger et al. (2012) these regions were
indicated on the basis of previously published records
from whole administrative regions.```
Sample intent: method
Sample text:```5 concentrations were computed for each participant using a hierarchical spatiotemporal model fit with a pragmatic estimation procedure described elsewhere [30,31].```
Sample intent: background



Sample text:```For the assimilation of SMOS brightness temperature data, VIC is coupled with the Community Microwave Emission Model (CMEM) [3-5], which allows for simulating the Top Of the Atmosphere (TOA) brightness temperature contributions of the different surface covers at the hydrologic model resolution.```
Sample intent: background



Sample text:```The above estimator generalizes the estimator in Sriperumbudur et al., 2017 to conditional densities.```
Sample intent: method



Sample text:```Our results confi rm previous studies that reached the same conclusion (Boushey et al 1994; Vermeulen et al 2000; Till et al 2005; Marcucci et al 2005).```
Sample intent: result



Sample text:```The lower abundance of fish at impacted reaches detected in our study agrees with the results of other authors, who in some cases found four times higher biomass at control reaches (Kube cka et al. 1997; Almod ovar & Nicola 1999).```
Sample intent: result
Sample text:```Following past work, we show that such basis models can be learned from 2D annotations using techniques adapted from nonrigid structure from motion (SFM) [20, 19].```
Sample intent: method



Sample text:```05, minimum cluster size 64 voxels) [Woo et al., 2014] for the primary analysis of regions showing increasing activity with distance from the home location.```
Sample intent: method



Sample text:```5 concentrations were computed for each participant using a hierarchical spatiotemporal model fit with a pragmatic estimation procedure described elsewhere [30,31].```
Sample intent: background



Sample text:```Here we analyse the sustainability of the initiative over a 32-month period of operations, using a modified version of a framework developed by Sarriot et al. (2004a).```
Sample intent: background



Sample text:```While this method is known to be generally reliable, there are some questions about the representativeness of the data used [25].```
Sample intent: background



Sample text:```In this study, we generalized previous results regarding the quasi-Gaussian shape and the scalar property using the SBF model [13,21,52].```
Sample intent: result



Sample text:```The above estimator generalizes the estimator in Sriperumbudur et al., 2017 to conditional densities.```
Sample intent: method



Sample text:```For the assimilation of SMOS brightness temperature data, VIC is coupled with the Community Microwave Emission Model (CMEM) [3-5], which allows for simulating the Top Of the Atmosphere (TOA) brightness temperature contributions of the different surface covers at the hydrologic model resolution.```
Sample intent: background



Sample text:```In the maps by Poutsma et al.
(2008) and Bidinger et al. (2012) these regions were
indicated on the basis of previously published records
from whole administrative regions.```
Sample intent: method



Sample text:```After 50 min of acclimatization and cardiovascular recordings, measurements of the respiratory frequency (Rf) were also performed by using the whole-body plethysmography method (20).```
Sample intent: background