inputs/.TNRS/Source/map.csv: datasetURL: updated to indicate that this uses the TNRS dev server (the actual URL is private)

moved everything into /trunk/ to create the standard svn layout, for use with tools that require this (eg. git-svn). IMPORTANT: do NOT do an `svn up`. instead, re-use your working copy's existing files with `svn switch` (http://svnbook.red-bean.com/en/1.6/svn.ref.svn.c.switch.html).

fix: bin/map: put template: comment out the "Put template:" label so that the output is valid XML, and displays properly in a browser rather than showing a syntax error

inputs/*/*/test.xml.ref: updated source.shortname for new datasource name, which now starts out with .new suffix

inputs/.TNRS/Source/map.csv: mapped datasetURL

inputs/.TNRS/Source/: switched to new-style import. this had been missed when all the Source/ subdirs were batch-switched to new-style import.

inputs/*/*/map.csv for CSV tables with a row_num column: added missing row_num entry, which is needed by the staging table column renaming to make the order of the map.csv columns match the order in the staging table

bugfix: inputs/*/Source/map.csv: added missing row_num entry, which is needed by the staging table column renaming to make the order of the map.csv columns match the order in the staging table. the staging table column renaming is now used by all Source tables.

bugfix: inputs/*/Source/map.csv: added missing row_num entry, which is needed by the staging table column renaming to make the order of the map.csv columns match the order in the staging table. the staging table column renaming is now used by all Source tables.

bugfix: inputs/*/Source/: use installed staging table (with blank-line data.csv) in order to also work with new-style import. this also fixes a benign diff between the by-row and by-col test outputs, where row-based import would not import the Source/ entries because there was not at least one row in the input. note that in order to ensure that all datasources are properly run, you need to check `svn st|sort` against the datasource schema names to see if any are missing.