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Filenames generally include information about the data collected: site, sensor, measurement type, date collected, etc. A generalized approach (probably just a function or two) that would split the filename into data columns using a template would be very useful. For example if a set of file names read as "site-variable-year" (152-soil_moisture-2017, 152-soil_temperature-2017, 140-soil_moisture_2017, etc), then the function would take an argument supplying the template as column headers: "site-variable-year" with either delimiters or the length of each variable to enable splitting. The extracted data could either be added to the read-in dataset, or used to generate an inventory of data by the provided variables.
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