schemas/vegbien.sql: taxonpath: Added back datasource_id, plantcode to make taxonpath datasource-specific again. This way, the original name components can still be stored in taxonpath, in addition to storing the concatenated name in a datasource-general taxonpath for use by TNRS.

inputs/.TNRS/tnrs/map.csv: Mapped columns for components of original, submitted name

mappings/VegCore-VegBIEN.csv, VegCore.csv: Removed no longer used verbatimScientificNameWithAuthorship. Use scientificNameWithAuthorship instead, and map accepted (scrubbed) names to acceptedScientificNameWithAuthorship to create the canon_taxonpath_id link.

inputs/.TNRS/tnrs/map.csv: Remapped to new accepted* taxonomic terms

mappings/VegCore-VegBIEN.csv: Mapped accepted* taxonomic terms

sql_io.py: cleanup_table(): Don't clean up the pkey, because the canonicalization involved may produce collisions (as it does for TNRS.tnrs)

sql.py: Added pkey_col_()

tnrs.py: tnrs_request(): Added comment that names containing only whitespace characters are ignored by TNRS and do not receive a response row. Our tnrs_db and reimport pipeline handles the necessary re-matching-up by just creating taxonpaths for each Name_submitted, and then letting the data import process on the following import attach to the prepopulated taxonpaths.

tnrs_db: Exclude taxonomic names which have already been scrubbed, by using a filter-out LEFT JOIN on TNRS.tnrs

tnrs.py: max_pause: Changed to 30 min because TNRS sometimes freezes for ~10 min. The freezing usually happens while the data is being uploaded rather than when it's being retrieved, so that the max_pause would not apply, but to be on the safe side, requests should not time out unnecessarily.