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Even with the increased number of satellite systems and sensors acquiring data with improved spectral, spatial, radiometric and temporal characteristics and the new data distribution policy, most existing land cover datasets are derived from a pixel-based, single-date multi-spectral remotely sensed image with an unacceptable accuracy.
Binding pockets in both datasets are derived from the experimental complex structures and, additionally, predicted by eFindSite.
Most of the global currents datasets are derived from remote sensing observations reported by satellite altimeters which have along-track resolutions on the order of 10 km.
Datasets are derived from the thermophilic coculture (TC), the mesophilic coculture (MC), the thermophilic pure culture (TP), and the mesophilic pure culture (MP) in this study.
The real datasets are derived from Gamma-proteobacterial and Saccharomyces intergenic sequences.
These datasets are derived from the above two datasets.
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Previously published7 and newly generated RNA-seq datasets were derived from a total of 16 different tissues, each with three biological replicates, including seven vegetative, six inflorescence, two developing grain and one germinating grain tissues.
The same LiDAR metrics as for the original datasets were derived from the thinned datasets.
Four datasets were derived from each genome pair comparison with different alignment settings.
Tier 2 biomass datasets were derived from Amazon forest inventory plots, either from the Brazilian government's RADAMBRASIL survey [54] or a compilation of forest biomass plots from the scientific literature [70, 75].
The majority of ta-siRNAs sequenced in both of our datasets were derived from TAS1a,b,c and TAS2 loci (Table S1).
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