Lasertram

This release serves to document the re-addition of LaserTRAM-profiler to the dashboard now using the `lasertram` API. It previously had been relatively dead in the water and not functioning, however to maintain backwards compatibility with old laser-quad data outputs as well as improve flexibility of dealing with different experiment types, it has been added back in. Similar to LaserTRAM spot, it uses `lasertram` under the hood so the inputs and outputs for both are identical and seamlessly integrate into LaserCalc.

To reduce the computational load on storing data in the browser, it is recommended to process only a few or one line of spots at a time in LaserTRAM-profiler, then strap their outputs together to be used in LaserCalc.

**Full Changelog**: https://github.com/jlubbersgeo/laserTRAM-DB/compare/2.0.0...v2.1.0

This release serves to document the complete migration of the backend of `LaserTRAM-DB` to using the `lasertram` package.

major changes
- backend migration to `lasertram` package: https://jlubbersgeo.github.io/lasertram/
- removal of LaserTRAM profiler
- Incorporation of "record and next" and "skip to next" button
- Better statistics output for calibration standard
- Incorporation of internal and external error on concentrations

minor changes
- changed up some fonts and colors
- added a loading spinner for when data are loaded into the dashboard so user better knows it's loading

This release deals with fixing a couple bugs with the selection of the internal standard in that if the internal standard was near the end of the analyte list it was not selecting the proper column of data. This propagated through to the output from LaserTRAM. This has now been fixed and all data are exported as they are intended to be exported.

This release signifies a few changes in LaserTRAM-DB:

- The incorporation of datetime data into the sample metadata such that drift correction determinations are done using that
- specific yml files for MacOS and Windows installs
- The creation of a .exe file for Windows that runs the dashboard without having to do any scripting.