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Importantly, most current epigenomic profiling datasets are based on a handful of cell lines.
Both datasets are based on a Digital Elevation Model (DEM) derived from NASA Shuttle Radar Topographic Mission (SRTM) data.
Future climate datasets are based on Representative Concentration Pathway scenarios for 2050 2059 and 2090 2099.
Although these datasets are based on common in situ observations, they use different trend analysis methods and space/time interpolation techniques to deal with the large data gaps.
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.
Since the available datasets are based on limited surveys, the uncertainty of the available harvest data is not provided.
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Input datasets were based on a LIDAR scan and topographic maps.
Although these datasets were based on histological section data, they are deemed compatible with our volume reconstruction because they were explicitly adjusted for shrinkage artifacts.
The selection of 800 datasets was based on the examination of the data convergence.
Datasets were based on actual ash hazard analyses done by Thompson et al. (under review).
Classification of breast tissue samples from the Hu et al. and the NKI295 datasets was based on the SSP/Spearman classification system described in Hu et al. [37].
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