inputs/VegBank/: Added stemcount/

sql_io.py: cleanup_table(): Fixed bug where couldn't run any update statement when no columns are text

csv2db: COPY FROM mode: Removed no longer needed explicit column list, now that the initial table has the exact width of the CSV (the row_num is added later)

csv2db: Add any row_num column after creating the table, so it does not interfere with row widths when using COPY FROM without explicit column names

csv2db: Fixed bug where tables without a row_num (such as *.src tables) were not properly supported when the CSV contained ragged rows, because the columns were truncated to # column names + 1 but there was no row_num to be the +1. This was solved by moving row_num to the end, so that it does not impact the column count whether it's there or not.

csv2db: Fixed bug where tables without a row_num (such as *.src tables) were not properly supported when the CSV contained ragged rows, because the columns were truncated to # column names + 1 but there was no row_num to be the +1. This was solved by moving row_num to the end, so that it does not impact the column count whether it's there or not.

inputs/VegBank/: Added taxonimportance/

mappings/VegCore.csv: Added and mapped aggregateOccurrenceID

mappings/VegCore.csv: taxonOccurrenceID: Re-sourced to VegBank taxonobservation and DwC occurrenceID, because this is where the VegBIEN table name came from

tnrs_client: Support parsing multiple taxons at once, by specifying each as a command-line argument. Increased the max_pause to 10 min to support large batches. Limited the batch size to 5000 names, using the limit at <http://tnrs.iplantcollaborative.org/TNRSapp.html&gt;. Note that when using xargs to pass many names, xargs will by default split its arguments into chunks of 5000. You can change this using the -n option.