Today's scientific computing: splitting a 248GB text file into individual files named by the string in the 202nd column.
```awk
awk -F"\t" '1 { NAME = $202; sub(" ", "_", NAME); print $0 >>"./records/" NAME ".csv"}'
```
This is for a big @gbif download. I could have dealt with it by looping over individual taxa and treating each as a separate download from #rstats. That's probably a better idea.
But it was (initially) easier to download all 1600 taxa as a single request. Except that the result was big enough that R couldn't read it all in at once. So now I need to split it by species to make files that I *can* process in R.