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check_dataset() runs all matching darwin core term check_ functions based on a user's dataframe.
use_measurements() adds a nested column of tibbles, measurementOrFact, with each tibble containing measurement data for each occurrence row. check_dataset() should be able to detect if measurementOrFact is present, then select and/or unnest the column to check the contents of the measurement rows (which are all named with correct Darwin Core terms).
There likely needs to be some thought about how to display this to the user (ie is this a test of measurementOrFact or a test of each individual column? If the latter, does the structure of the current check_dataset() message need to update or change?)
The text was updated successfully, but these errors were encountered:
check_dataset()
runs all matching darwin core termcheck_
functions based on a user's dataframe.use_measurements()
adds a nested column of tibbles,measurementOrFact
, with each tibble containing measurement data for each occurrence row.check_dataset()
should be able to detect ifmeasurementOrFact
is present, then select and/or unnest the column to check the contents of the measurement rows (which are all named with correct Darwin Core terms).There likely needs to be some thought about how to display this to the user (ie is this a test of
measurementOrFact
or a test of each individual column? If the latter, does the structure of the currentcheck_dataset()
message need to update or change?)The text was updated successfully, but these errors were encountered: