Sentence examples for species data was from inspiring English sources

Herbaceous forage species data was collected within and around piospheres (protected kraal and waterhole).

Therefore, an unconstrained linear ordination (indirect gradient analysis) using Principal Components Analysis (PCA) on sugar percentages (species data) was conducted to visualize the important patterns in the data.

Prior to analysis, species data was log10-transformed to downweight the dominant taxa.

Where overlaps were made between data for different species, data was first converted to Entrez Gene IDs and then to Homologene IDs which were used to calculate the overlap between lists.

For PM2.5, the mean concentration on days with species data was 26 μg/m, and the dominant sources were vehicle exhaust (30% of the total), secondary sulfate/organics (28%), and secondary nitrate/organics (19%).

After this exclusion plus additional exclusions because of possible contamination and errors in weighing, the frequency of PM species data was approximately every sixth day, with differences in the number of days with PM2.5 versus PM10 data.

The individual species data were collapsed into taxonomic groups for Figure 01.

Species data were combined with biotope patterns interpreted from aerial photographs (1998 and 1945/1950).

Plant species data were derived from the 4 km×4 km resolution Flora Database of Flanders (i.e. northern Belgium).

For some species, data were quite detailed, down to individual breeding rates.

Species data were assessed along a 40 m north/south and a 40 m east/west transect cross.