Sentence examples for space datasets from inspiring English sources

Modern instrument-simulation techniques offer the possibility of increasing the scientific yield from archival space datasets.

Meanwhile, different urban green space datasets are based on different definitions, data sources, sampling techniques, time periods and scales, which poses important challenges to urban green infrastructure planning, management and research.

At the end, an iterative thresholding algorithm is used to reconstruct the images from the under-sampled k-space datasets.

Using MLNE, two temporally spaced datasets from Greenland (1990 and 2001-04; four generations) were used to estimate both NeCLOSED and NeOPEN to assess the potential influence of immigration on our estimate of Ne and for comparative purposes with our estimates from the migrant Padre Island population Ne.

The generated sampling masks were applied to each full-sampled k-space dataset for retrospective downsampling before the CS reconstruction procedure.

The normalized read counts were used to determine the expression level for each miRNA isoform/variant in relation to time (SOLiD dataset) and space (Illumina dataset) during seed development.

Hence, the proposal of new classifiers can be seen as an attempt to cover new areas of the complexity space of datasets, or even to compete with those previously assigned to others.

These reasons are mainly connected with the differences between the used ground- and space-based datasets, including the systematic biases between the ground-based and space-based measurements, and with the different methods of the data assimilation.

After cortical reconstruction and registration to standard space, each dataset was smoothed using a circularly symmetric Gausssian kernel across the cortical surface with a full width at half maximum of 10 mm.

Connors et al. (2014) used a similar approach (the same computer code with a more general forward model and constraints) to deduce parameters for the substorm current wedge, using data from the North American region, and compare them to those inferred using an independent space-based dataset.

Specifically, as described in the FSL webpage (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/DualRegression), "for each subject, the group-average set of spatial maps is regressed (as spatial regressors in a multiple regression) into the subject's 4D space-time dataset.