lib/runscripts/validations.pg.sql.run: export_(): make the export idempotent for easier re-runnability

bugfix: inputs/input.Makefile: validations.sql must be in a subdir so it won't get run by sql/install

bugfix: inputs/NY/validations.sql: _specimens_07_list_of_verbatim_subspecific_taxa_with_author: updated filter condition to match output query

fix: inputs/NY/Ecatalog_all/map.csv, postprocess.sql: remapped substrate, vegetation to locationRemarks

bugfix: inputs/NY/validations.sql, schemas/vegbien.sql: _specimens_13*: also need to include coordinate pairs which have one of their coordinates NULL, by using OR instead of AND

bugfix: inputs/NY/validations.sql: _specimens_13b_list_of_all_decimal_lat_long: matched column types to output query

bugfix: inputs/NY/validations.sql: _specimens_13a_list_of_all_verbatim_lat_long: matched column types to output query

inputs/NY/validations.sql, schemas/vegbien.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: added breakdowns _specimens_13a_list_of_all_verbatim_lat_long, _specimens_13b_list_of_all_decimal_lat_long to help troubleshoot the diff

fix: inputs/NY/validations.sql, schemas/vegbien.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: count lat/longs together instead of separately, because the DISTINCT is by coordinate pair, not individual coordinate value (which wouldn't make much sense)

fix: inputs/NY/validations.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: use new is_castable(), which is much more accurate than Brad's custom regexp for determining if something is numeric

bugfix: inputs/NY/validations.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: need to include both lat and long in the value to DISTINCT on

fix: inputs/NY/validations.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: need to DISTINCT the values that are being counted, because they are merged by the coordinates_unique unique constraint in the import

fix: inputs/NY/validations.sql: specimens*_of_unique_verbatim_author_taxa_with_genus: use scientificName rather than the concatenated ranks, because that is what is imported to taxonlabel.taxonomicname

fix: inputs/NY/Ecatalog_all/map.csv: ScientificName: remapped to scientificName instead of taxonName as this does include the author

fix: inputs/NY/validations.sql: specimens*_of_unique_verb_subsp_taxa_with_author: use taxonName instead of concatenating the ranks, as that corresponds to what we use as the concatenated taxonomic name

bugfix: inputs/NY/validations.sql: specimens*_of_verbatim_subspecific_taxa_with_author: need `subspecies IS NOT NULL` filter

bugfix: inputs/NY/validations.sql: _specimens_07_list_of_verbatim_subspecific_taxa_with_author: need to include subspecies (as _specimens_06_count_of_unique_verb_subsp_taxa_with_author does)

bugfix: inputs/NY/validations.sql: specimens*_of_species_binomials: removed incorrect `subspecies IS NOT NULL` filter (this should be on *_of_unique_verb_subsp_taxa_with_author instead)

fix: inputs/NY/validations.sql: _specimens_16_list_distinct_specimen_descriptions: removed duplicated rows using DISTINCT

bugfix: inputs/NY/validations.sql: _specimens_03_list_of_verbatim_families: use family as specified in query description, not as implemented

bugfix: schemas/vegbien.sql, inputs/NY/validations.sql, validation/aggregating/specimens/qualitative_validations_specimens.sql: _specimens_12_distinct_collector_name_collect_num_date_w_count: dateCollected: cast this to text rather than date because some values for this field are not valid dates and will throw an error if cast to date

fix: inputs/NY/validations.sql: _specimens_12_distinct_collector_name_collect_num_date_w_count: dateCollected: matched type to output query

validation/aggregating/specimens/qualitative_validations_specimens.sql, NY/qualitative_validations_source_db_NYBG.VegCore.sql, inputs/NY/validations.sql: *_of_species_binomials: renamed columns to species_binomial to reflect reverted query name

validation/aggregating/specimens/qualitative_validations_specimens.sql, NY/qualitative_validations_source_db_NYBG.VegCore.sql, inputs/NY/validations.sql: *_of_verbatim_species_excluding_author: renamed to *_species_binomials for clarity

validation/aggregating/specimens/qualitative_validations_specimens.sql, NY/qualitative_validations_source_db_NYBG.VegCore.sql, inputs/NY/validations.sql: _specimens_04_count_of_unique_verbatim_species_with_author, _specimens_05_list_of_unique_verbatim_species_with_author: switched back to original names because #6,7 now do the same thing as #4,5, so we should include the differing result set of #4,5 for datasources that provide it

validation/aggregating/specimens/qualitative_validations_specimens.sql, NY/qualitative_validations_source_db_NYBG.VegCore.sql, inputs/NY/validations.sql: use taxon_name*_with_author everywhere instead of custom column names, for consistency

validation/aggregating/specimens/qualitative_validations_specimens.sql, NY/qualitative_validations_source_db_NYBG.VegCore.sql, inputs/NY/validations.sql: *_of_verbatim_subspecific_taxa_without_author, etc.: renamed to *_with_author because these now use the concatenated name, rather than the without-author name that only some specimens datasources provide

validation/aggregating/specimens/qualitative_validations_specimens.sql, NY/qualitative_validations_source_db_NYBG.VegCore.sql, inputs/NY/validations.sql: *_verbatim_species_without_author, etc.: renamed to *_with_author because these now use the concatenated name, rather than the without-author name that only some specimens datasources provide

added inputs/NY/validations*.sql*